2025-08-14T21:02:48.8386636Z Current runner version: '2.328.0' 2025-08-14T21:02:48.8393277Z Runner name: 'i-04a61581104816429' 2025-08-14T21:02:48.8394183Z Runner group name: 'Default' 2025-08-14T21:02:48.8395097Z Machine name: 'ip-10-0-40-36' 2025-08-14T21:02:48.8398015Z ##[group]GITHUB_TOKEN Permissions 2025-08-14T21:02:48.8400438Z Contents: read 2025-08-14T21:02:48.8401032Z Metadata: read 2025-08-14T21:02:48.8401560Z ##[endgroup] 2025-08-14T21:02:48.8403867Z Secret source: Actions 2025-08-14T21:02:48.8404663Z Prepare workflow directory 2025-08-14T21:02:48.8925282Z Prepare all required actions 2025-08-14T21:02:48.8966966Z Getting action download info 2025-08-14T21:02:49.1854284Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84) 2025-08-14T21:02:50.9328502Z Download action repository 'pytorch/pytorch@main' (SHA:eac2d9d695a32dd456050f45cac35134ec3809f4) 2025-08-14T21:03:04.3594771Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-08-14T21:03:04.6707610Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-08-14T21:03:04.8820795Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-08-14T21:03:05.0602641Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T21:03:05.3641404Z Getting action download info 2025-08-14T21:03:05.4597054Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-08-14T21:03:05.7473064Z Getting action download info 2025-08-14T21:03:05.8791134Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-08-14T21:03:06.0760819Z Getting action download info 2025-08-14T21:03:06.2094154Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-08-14T21:03:06.4157817Z Getting action download info 2025-08-14T21:03:06.5323579Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2) 2025-08-14T21:03:06.5327553Z ##[group] Inputs 2025-08-14T21:03:06.5327944Z build-environment: linux-jammy-py3.13-clang12 2025-08-14T21:03:06.5330968Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-14T21:03:06.5334328Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:03:06.5335131Z sync-tag: 2025-08-14T21:03:06.5336216Z timeout-minutes: 240 2025-08-14T21:03:06.5336480Z use-gha: 2025-08-14T21:03:06.5336710Z dashboard-tag: 2025-08-14T21:03:06.5336966Z s3-bucket: gha-artifacts 2025-08-14T21:03:06.5337240Z aws-role-to-assume: 2025-08-14T21:03:06.5337863Z disable-monitor: false 2025-08-14T21:03:06.5338434Z monitor-log-interval: 5 2025-08-14T21:03:06.5338844Z monitor-data-collect-interval: 1 2025-08-14T21:03:06.5339184Z ##[endgroup] 2025-08-14T21:03:06.5339601Z Complete job name: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:03:06.5871554Z A job started hook has been configured by the self-hosted runner administrator 2025-08-14T21:03:06.5977989Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-08-14T21:03:06.5987589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:03:06.5988281Z ##[endgroup] 2025-08-14T21:03:07.8348940Z Runner Type: lf.linux.4xlarge 2025-08-14T21:03:07.8349426Z Instance Type: c5.4xlarge 2025-08-14T21:03:07.8349687Z AMI Name: unknown 2025-08-14T21:03:07.8378990Z AMI ID: ami-05ffe3c48a9991133 2025-08-14T21:03:13.4797695Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-08-14T21:03:13.4798165Z with: 2025-08-14T21:03:13.4798751Z github-secret: *** 2025-08-14T21:03:13.4799467Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-08-14T21:03:13.4800261Z activate-with-label: false 2025-08-14T21:03:13.4800547Z label: with-ssh 2025-08-14T21:03:13.4800787Z remove-existing-keys: true 2025-08-14T21:03:13.4801072Z fail-silently: true 2025-08-14T21:03:13.4801324Z env: 2025-08-14T21:03:13.4801530Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:03:13.4801804Z ##[endgroup] 2025-08-14T21:03:13.5952815Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-08-14T21:03:13.5954257Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-08-14T21:03:13.6099027Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-08-14T21:03:13.6099488Z with: 2025-08-14T21:03:13.6099718Z no-sudo: true 2025-08-14T21:03:13.6099952Z submodules: recursive 2025-08-14T21:03:13.6100235Z fetch-depth: 0 2025-08-14T21:03:13.6100471Z env: 2025-08-14T21:03:13.6100696Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:03:13.6100963Z ##[endgroup] 2025-08-14T21:03:13.6190500Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:03:13.6191483Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:03:13.6199792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:03:13.6200189Z env: 2025-08-14T21:03:13.6200429Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:03:13.6200701Z ##[endgroup] 2025-08-14T21:03:13.6289822Z ##[group]Run # Use all available CPUs for fetching 2025-08-14T21:03:13.6290267Z # Use all available CPUs for fetching 2025-08-14T21:03:13.6290624Z cd "${GITHUB_WORKSPACE}" 2025-08-14T21:03:13.6291016Z git config --global fetch.parallel 0 2025-08-14T21:03:13.6291412Z git config --global submodule.fetchJobs 0 2025-08-14T21:03:13.6291779Z  2025-08-14T21:03:13.6292130Z # Clean workspace. The default checkout action should also do this, but 2025-08-14T21:03:13.6292609Z # do it here as well just in case 2025-08-14T21:03:13.6292935Z if [[ -d .git ]]; then 2025-08-14T21:03:13.6293224Z  if [ -z "${NO_SUDO}" ]; then 2025-08-14T21:03:13.6293542Z  sudo git clean -ffdx 2025-08-14T21:03:13.6293824Z  else 2025-08-14T21:03:13.6294050Z  git clean -ffdx 2025-08-14T21:03:13.6294317Z  fi 2025-08-14T21:03:13.6294535Z fi 2025-08-14T21:03:13.6300048Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:03:13.6300442Z env: 2025-08-14T21:03:13.6300738Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:03:13.6301028Z NO_SUDO: true 2025-08-14T21:03:13.6301252Z ##[endgroup] 2025-08-14T21:03:13.6451849Z ##[group]Run actions/checkout@v4 2025-08-14T21:03:13.6452171Z with: 2025-08-14T21:03:13.6452416Z ref: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:03:13.6452956Z fetch-depth: 0 2025-08-14T21:03:13.6453208Z submodules: recursive 2025-08-14T21:03:13.6453466Z show-progress: false 2025-08-14T21:03:13.6453740Z repository: pytorch/pytorch 2025-08-14T21:03:13.6454185Z token: *** 2025-08-14T21:03:13.6454418Z ssh-strict: true 2025-08-14T21:03:13.6454649Z ssh-user: git 2025-08-14T21:03:13.6454898Z persist-credentials: true 2025-08-14T21:03:13.6455175Z clean: true 2025-08-14T21:03:13.6455430Z sparse-checkout-cone-mode: true 2025-08-14T21:03:13.6455737Z fetch-tags: false 2025-08-14T21:03:13.6455974Z lfs: false 2025-08-14T21:03:13.6456197Z set-safe-directory: true 2025-08-14T21:03:13.6456481Z env: 2025-08-14T21:03:13.6456700Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:03:13.6456951Z ##[endgroup] 2025-08-14T21:03:13.7551904Z Syncing repository: pytorch/pytorch 2025-08-14T21:03:13.7553437Z ##[group]Getting Git version info 2025-08-14T21:03:13.7553925Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:03:13.7554676Z [command]/usr/bin/git version 2025-08-14T21:03:13.7554959Z git version 2.47.1 2025-08-14T21:03:13.7555993Z ##[endgroup] 2025-08-14T21:03:13.7562614Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/703a5bde-0a18-4c99-8ca9-76bc35dc0080/.gitconfig' 2025-08-14T21:03:13.7582068Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/703a5bde-0a18-4c99-8ca9-76bc35dc0080' before making global git config changes 2025-08-14T21:03:13.7583043Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T21:03:13.7587273Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:03:13.7621949Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-08-14T21:03:13.7624882Z ##[group]Initializing the repository 2025-08-14T21:03:13.7628795Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:03:13.7659127Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-08-14T21:03:13.7659783Z hint: is subject to change. To configure the initial branch name to use in all 2025-08-14T21:03:13.7660361Z hint: of your new repositories, which will suppress this warning, call: 2025-08-14T21:03:13.7660828Z hint: 2025-08-14T21:03:13.7661147Z hint: git config --global init.defaultBranch 2025-08-14T21:03:13.7661510Z hint: 2025-08-14T21:03:13.7661861Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-08-14T21:03:13.7662431Z hint: 'development'. The just-created branch can be renamed via this command: 2025-08-14T21:03:13.7662873Z hint: 2025-08-14T21:03:13.7663105Z hint: git branch -m 2025-08-14T21:03:13.7663592Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-08-14T21:03:13.7668565Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-08-14T21:03:13.7693436Z ##[endgroup] 2025-08-14T21:03:13.7693906Z ##[group]Disabling automatic garbage collection 2025-08-14T21:03:13.7696707Z [command]/usr/bin/git config --local gc.auto 0 2025-08-14T21:03:13.7720511Z ##[endgroup] 2025-08-14T21:03:13.7720935Z ##[group]Setting up auth 2025-08-14T21:03:13.7726429Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T21:03:13.7750686Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T21:03:13.8024036Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T21:03:13.8049465Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T21:03:13.8301401Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:03:13.8342851Z ##[endgroup] 2025-08-14T21:03:13.8343433Z ##[group]Fetching the repository 2025-08-14T21:03:13.8350717Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-08-14T21:03:59.0003418Z From https://github.com/pytorch/pytorch 2025-08-14T21:03:59.0003922Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-08-14T21:03:59.0004578Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-08-14T21:03:59.0005225Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-08-14T21:03:59.0005920Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-08-14T21:03:59.0006651Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-08-14T21:03:59.0007378Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-08-14T21:03:59.0008154Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-08-14T21:03:59.0009074Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-08-14T21:03:59.0010035Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-08-14T21:03:59.0011039Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-08-14T21:03:59.0012511Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-08-14T21:03:59.0013290Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-08-14T21:03:59.0014304Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-08-14T21:03:59.0015333Z * [new branch] addVllmPin -> origin/addVllmPin 2025-08-14T21:03:59.0016396Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-08-14T21:03:59.0017800Z * [new branch] addbuildvllm -> origin/addbuildvllm 2025-08-14T21:03:59.0019449Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-08-14T21:03:59.0020318Z * [new branch] addsimde -> origin/addsimde 2025-08-14T21:03:59.0021405Z * [new branch] addvllpinnedfile -> origin/addvllpinnedfile 2025-08-14T21:03:59.0022878Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-08-14T21:03:59.0023778Z * [new branch] adi/skip_slow_tests -> origin/adi/skip_slow_tests 2025-08-14T21:03:59.0024758Z * [new branch] adi/test -> origin/adi/test 2025-08-14T21:03:59.0025871Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-08-14T21:03:59.0026916Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-08-14T21:03:59.0027902Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-08-14T21:03:59.0028886Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-08-14T21:03:59.0029819Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-08-14T21:03:59.0031298Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-08-14T21:03:59.0035051Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-08-14T21:03:59.0035643Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-08-14T21:03:59.0036225Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-08-14T21:03:59.0036902Z * [new branch] alt-disable -> origin/alt-disable 2025-08-14T21:03:59.0037689Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-08-14T21:03:59.0038691Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-08-14T21:03:59.0039811Z * [new branch] angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device 2025-08-14T21:03:59.0040699Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-08-14T21:03:59.0041727Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-08-14T21:03:59.0043305Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-08-14T21:03:59.0044306Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-08-14T21:03:59.0045811Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-08-14T21:03:59.0046712Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-08-14T21:03:59.0047812Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-08-14T21:03:59.0048723Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-08-14T21:03:59.0049777Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-08-14T21:03:59.0050849Z * [new branch] angelayi/fix_pt2 -> origin/angelayi/fix_pt2 2025-08-14T21:03:59.0052042Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-08-14T21:03:59.0052913Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-08-14T21:03:59.0053935Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-08-14T21:03:59.0054951Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-08-14T21:03:59.0056034Z * [new branch] angelayi/save_error -> origin/angelayi/save_error 2025-08-14T21:03:59.0057079Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-08-14T21:03:59.0058106Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-08-14T21:03:59.0059224Z * [new branch] angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta 2025-08-14T21:03:59.0060174Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-08-14T21:03:59.0061220Z * [new branch] aoti-cuda-alloc -> origin/aoti-cuda-alloc 2025-08-14T21:03:59.0062198Z * [new branch] aoti_weight_sharing -> origin/aoti_weight_sharing 2025-08-14T21:03:59.0063732Z * [new branch] arsh/symint_mm_ind_decomp -> origin/arsh/symint_mm_ind_decomp 2025-08-14T21:03:59.0064752Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-08-14T21:03:59.0065864Z * [new branch] atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1 2025-08-14T21:03:59.0066983Z * [new branch] atalman-patch-1 -> origin/atalman-patch-1 2025-08-14T21:03:59.0068013Z * [new branch] atalman-patch-2 -> origin/atalman-patch-2 2025-08-14T21:03:59.0069123Z * [new branch] atalman-patch-3 -> origin/atalman-patch-3 2025-08-14T21:03:59.0070128Z * [new branch] atalman-patch-6 -> origin/atalman-patch-6 2025-08-14T21:03:59.0071196Z * [new branch] atalman-patch-7 -> origin/atalman-patch-7 2025-08-14T21:03:59.0072173Z * [new branch] atalman-patch-8 -> origin/atalman-patch-8 2025-08-14T21:03:59.0073249Z * [new branch] atalman_inductor_2.3.0 -> origin/atalman_inductor_2.3.0 2025-08-14T21:03:59.0074269Z * [new branch] atalman_inductor_2.3.1 -> origin/atalman_inductor_2.3.1 2025-08-14T21:03:59.0075221Z * [new branch] atalman_inductor_2.4.0 -> origin/atalman_inductor_2.4.0 2025-08-14T21:03:59.0076521Z * [new branch] atalman_inductor_2.4.x -> origin/atalman_inductor_2.4.x 2025-08-14T21:03:59.0078026Z * [new branch] autoupdate-transformers-pin-via-pr -> origin/autoupdate-transformers-pin-via-pr 2025-08-14T21:03:59.0078713Z * [new branch] backupvllm -> origin/backupvllm 2025-08-14T21:03:59.0080378Z * [new branch] base/1.5 -> origin/base/1.5 2025-08-14T21:03:59.0081484Z * [new branch] batching_sdpa_efficient_attention -> origin/batching_sdpa_efficient_attention 2025-08-14T21:03:59.0082422Z * [new branch] benchmark-updates -> origin/benchmark-updates 2025-08-14T21:03:59.0083500Z * [new branch] benchmarking-script -> origin/benchmarking-script 2025-08-14T21:03:59.0085247Z * [new branch] benjaminglass1/mark-large-tensor-tests-serial -> origin/benjaminglass1/mark-large-tensor-tests-serial 2025-08-14T21:03:59.0086339Z * [new branch] bertmaher/pinbump26 -> origin/bertmaher/pinbump26 2025-08-14T21:03:59.0087839Z * [new branch] bertrand/cutlass -> origin/bertrand/cutlass 2025-08-14T21:03:59.0089163Z * [new branch] bf/cg-log -> origin/bf/cg-log 2025-08-14T21:03:59.0090066Z * [new branch] bf/cg-remove-check -> origin/bf/cg-remove-check 2025-08-14T21:03:59.0091130Z * [new branch] bf/cg-skip-1-kernel -> origin/bf/cg-skip-1-kernel 2025-08-14T21:03:59.0091961Z * [new branch] bf/cudagraph -> origin/bf/cudagraph 2025-08-14T21:03:59.0093068Z * [new branch] bf/cudagraph-disable-input-mutation -> origin/bf/cudagraph-disable-input-mutation 2025-08-14T21:03:59.0094485Z * [new branch] bf/cudagraph-enable-input-mutation-support-benchmark -> origin/bf/cudagraph-enable-input-mutation-support-benchmark 2025-08-14T21:03:59.0095491Z * [new branch] bf/cudagraph-partition -> origin/bf/cudagraph-partition 2025-08-14T21:03:59.0096557Z * [new branch] bf/default-recompile-reason -> origin/bf/default-recompile-reason 2025-08-14T21:03:59.0097574Z * [new branch] bf/donated-buffer-bench -> origin/bf/donated-buffer-bench 2025-08-14T21:03:59.0098540Z * [new branch] bf/improve-kernel-bench -> origin/bf/improve-kernel-bench 2025-08-14T21:03:59.0099619Z * [new branch] bf/kernel-benchmark -> origin/bf/kernel-benchmark 2025-08-14T21:03:59.0100614Z * [new branch] bf/partition-doc -> origin/bf/partition-doc 2025-08-14T21:03:59.0101635Z * [new branch] bf/partition-move-cpu -> origin/bf/partition-move-cpu 2025-08-14T21:03:59.0102678Z * [new branch] bf/partition-turn-on -> origin/bf/partition-turn-on 2025-08-14T21:03:59.0103682Z * [new branch] bf/remove-check-55b0c39d -> origin/bf/remove-check-55b0c39d 2025-08-14T21:03:59.0104605Z * [new branch] bf/skip-asserts -> origin/bf/skip-asserts 2025-08-14T21:03:59.0105693Z * [new branch] bf16adamw -> origin/bf16adamw 2025-08-14T21:03:59.0106849Z * [new branch] bisect_perf_hf_T5_3acc6eac492 -> origin/bisect_perf_hf_T5_3acc6eac492 2025-08-14T21:03:59.0107849Z * [new branch] bisect_perf_hf_T5_3fcf66f61fb -> origin/bisect_perf_hf_T5_3fcf66f61fb 2025-08-14T21:03:59.0108795Z * [new branch] bisect_perf_hf_T5_4009d154129 -> origin/bisect_perf_hf_T5_4009d154129 2025-08-14T21:03:59.0109772Z * [new branch] bisect_perf_hf_T5_40d0740e73d -> origin/bisect_perf_hf_T5_40d0740e73d 2025-08-14T21:03:59.0110766Z * [new branch] bisect_perf_hf_T5_5268754e -> origin/bisect_perf_hf_T5_5268754e 2025-08-14T21:03:59.0111721Z * [new branch] bisect_perf_hf_T5_7d89a8d385c -> origin/bisect_perf_hf_T5_7d89a8d385c 2025-08-14T21:03:59.0112686Z * [new branch] bisect_perf_hf_T5_b7a25c1ee7c -> origin/bisect_perf_hf_T5_b7a25c1ee7c 2025-08-14T21:03:59.0113643Z * [new branch] bisect_perf_hf_T5_c25b201583f -> origin/bisect_perf_hf_T5_c25b201583f 2025-08-14T21:03:59.0114702Z * [new branch] bisect_perf_hf_T5_c93e57efac0 -> origin/bisect_perf_hf_T5_c93e57efac0 2025-08-14T21:03:59.0115637Z * [new branch] bisect_perf_hf_T5_ca9813ea149 -> origin/bisect_perf_hf_T5_ca9813ea149 2025-08-14T21:03:59.0116628Z * [new branch] bisect_perf_hf_T5_d65f194a -> origin/bisect_perf_hf_T5_d65f194a 2025-08-14T21:03:59.0117603Z * [new branch] bisect_perf_hf_T5_da94ab0b -> origin/bisect_perf_hf_T5_da94ab0b 2025-08-14T21:03:59.0118601Z * [new branch] bisect_perf_hf_T5_da94ab0b_new -> origin/bisect_perf_hf_T5_da94ab0b_new 2025-08-14T21:03:59.0119589Z * [new branch] bisect_perf_hf_T5_db4e8a1d8a8 -> origin/bisect_perf_hf_T5_db4e8a1d8a8 2025-08-14T21:03:59.0120526Z * [new branch] bisect_perf_hf_T5_e0d97e936a2 -> origin/bisect_perf_hf_T5_e0d97e936a2 2025-08-14T21:03:59.0121510Z * [new branch] bisect_perf_hf_T5_f23621ec563 -> origin/bisect_perf_hf_T5_f23621ec563 2025-08-14T21:03:59.0123194Z * [new branch] bowbao/bench_updates_stage -> origin/bowbao/bench_updates_stage 2025-08-14T21:03:59.0124063Z * [new branch] bowbao/dort_rewriter -> origin/bowbao/dort_rewriter 2025-08-14T21:03:59.0125085Z * [new branch] bowbao/wip_prs -> origin/bowbao/wip_prs 2025-08-14T21:03:59.0126675Z * [new branch] bowenbao/partial_min_max_reduce -> origin/bowenbao/partial_min_max_reduce 2025-08-14T21:03:59.0127866Z * [new branch] brister/always_wrapper_ir -> origin/brister/always_wrapper_ir 2025-08-14T21:03:59.0128874Z * [new branch] brister/flatten_contig -> origin/brister/flatten_contig 2025-08-14T21:03:59.0129893Z * [new branch] brister/test_block_ptr_same -> origin/brister/test_block_ptr_same 2025-08-14T21:03:59.0130943Z * [new branch] brister/tiled_reduction_no_numel_check -> origin/brister/tiled_reduction_no_numel_check 2025-08-14T21:03:59.0132024Z * [new branch] c57382a49 -> origin/c57382a49 2025-08-14T21:03:59.0132999Z * [new branch] ca_0431d47eaa -> origin/ca_0431d47eaa 2025-08-14T21:03:59.0133969Z * [new branch] ca_fix_0431d47eaa -> origin/ca_fix_0431d47eaa 2025-08-14T21:03:59.0136010Z * [new branch] camyll/revert-94bc900da97ad7f3c35b3b819bb53b23c74b581a-for-release-2.8 -> origin/camyll/revert-94bc900da97ad7f3c35b3b819bb53b23c74b581a-for-release-2.8 2025-08-14T21:03:59.0137151Z * [new branch] camyll/test_precommit_hooks_lintrunner -> origin/camyll/test_precommit_hooks_lintrunner 2025-08-14T21:03:59.0138361Z * [new branch] camyllh/cherrypick-151547-for-release28 -> origin/camyllh/cherrypick-151547-for-release28 2025-08-14T21:03:59.0139163Z * [new branch] camyllh/test_setup_hooks_push -> origin/camyllh/test_setup_hooks_push 2025-08-14T21:03:59.0140016Z * [new branch] cherry-pick-149654-by-pytorch_bot_bot_ -> origin/cherry-pick-149654-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0141045Z * [new branch] cherry-pick-151939-by-pytorch_bot_bot_ -> origin/cherry-pick-151939-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0142086Z * [new branch] cherry-pick-154174-by-pytorch_bot_bot_ -> origin/cherry-pick-154174-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0143379Z * [new branch] cherry-pick-155896-by-pytorch_bot_bot_ -> origin/cherry-pick-155896-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0144360Z * [new branch] cherry-pick-156260-by-pytorch_bot_bot_ -> origin/cherry-pick-156260-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0145427Z * [new branch] cherry-pick-156719-by-pytorch_bot_bot_ -> origin/cherry-pick-156719-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0146561Z * [new branch] cherry-pick-156876-by-pytorch_bot_bot_ -> origin/cherry-pick-156876-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0147737Z * [new branch] cherry-pick-156888-by-pytorch_bot_bot_ -> origin/cherry-pick-156888-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0148915Z * [new branch] cherry-pick-157014-by-pytorch_bot_bot_ -> origin/cherry-pick-157014-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0149960Z * [new branch] cherry-pick-157179-by-pytorch_bot_bot_ -> origin/cherry-pick-157179-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0151004Z * [new branch] cherry-pick-157453-by-pytorch_bot_bot_ -> origin/cherry-pick-157453-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0151999Z * [new branch] cherry-pick-157513-by-pytorch_bot_bot_ -> origin/cherry-pick-157513-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0153080Z * [new branch] cherry-pick-157558-by-pytorch_bot_bot_ -> origin/cherry-pick-157558-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0154126Z * [new branch] cherry-pick-157598-by-pytorch_bot_bot_ -> origin/cherry-pick-157598-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0155217Z * [new branch] cherry-pick-157600-by-pytorch_bot_bot_ -> origin/cherry-pick-157600-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0156229Z * [new branch] cherry-pick-157630-by-pytorch_bot_bot_ -> origin/cherry-pick-157630-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0157335Z * [new branch] cherry-pick-157695-by-pytorch_bot_bot_ -> origin/cherry-pick-157695-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0158392Z * [new branch] cherry-pick-157732-by-pytorch_bot_bot_ -> origin/cherry-pick-157732-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0159482Z * [new branch] cherry-pick-157733-by-pytorch_bot_bot_ -> origin/cherry-pick-157733-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0160499Z * [new branch] cherry-pick-157985-by-pytorch_bot_bot_ -> origin/cherry-pick-157985-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0161543Z * [new branch] cherry-pick-157993-by-pytorch_bot_bot_ -> origin/cherry-pick-157993-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0162740Z * [new branch] cherry-pick-158064-by-pytorch_bot_bot_ -> origin/cherry-pick-158064-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0163840Z * [new branch] cherry-pick-158152-by-pytorch_bot_bot_ -> origin/cherry-pick-158152-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0164913Z * [new branch] cherry-pick-158295-by-pytorch_bot_bot_ -> origin/cherry-pick-158295-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0166106Z * [new branch] cherry-pick-158301-by-pytorch_bot_bot_ -> origin/cherry-pick-158301-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0167152Z * [new branch] cherry-pick-158537-by-pytorch_bot_bot_ -> origin/cherry-pick-158537-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0168258Z * [new branch] cherry-pick-158572-by-pytorch_bot_bot_ -> origin/cherry-pick-158572-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0169162Z * [new branch] cherry-pick-158595 -> origin/cherry-pick-158595 2025-08-14T21:03:59.0170364Z * [new branch] cherry-pick-159181-by-pytorch_bot_bot_ -> origin/cherry-pick-159181-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0171435Z * [new branch] cherry-pick-159969-by-pytorch_bot_bot_ -> origin/cherry-pick-159969-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0172527Z * [new branch] cherry-pick-160586-by-pytorch_bot_bot_ -> origin/cherry-pick-160586-by-pytorch_bot_bot_ 2025-08-14T21:03:59.0173503Z * [new branch] cherry-pick-PR-158746 -> origin/cherry-pick-PR-158746 2025-08-14T21:03:59.0174835Z * [new branch] cherrypick-e4e2701429c17078c3c475382a8b1fa4c8a8cefc -> origin/cherrypick-e4e2701429c17078c3c475382a8b1fa4c8a8cefc 2025-08-14T21:03:59.0176103Z * [new branch] chilli/flex_vllm -> origin/chilli/flex_vllm 2025-08-14T21:03:59.0177226Z * [new branch] ckluk2-compileThread-1 -> origin/ckluk2-compileThread-1 2025-08-14T21:03:59.0178256Z * [new branch] ckluk2-compileThread-2 -> origin/ckluk2-compileThread-2 2025-08-14T21:03:59.0179250Z * [new branch] ckluk2-compileThread-64 -> origin/ckluk2-compileThread-64 2025-08-14T21:03:59.0180218Z * [new branch] ckluk2-test-1 -> origin/ckluk2-test-1 2025-08-14T21:03:59.0181202Z * [new branch] cleantest1 -> origin/cleantest1 2025-08-14T21:03:59.0182292Z * [new branch] codex-testing -> origin/codex-testing 2025-08-14T21:03:59.0184152Z * [new branch] codex/create-test-for-tensor-memory-leak-in-cudagraph -> origin/codex/create-test-for-tensor-memory-leak-in-cudagraph 2025-08-14T21:03:59.0185120Z * [new branch] codex/fix-issue-121219-in-pytorch -> origin/codex/fix-issue-121219-in-pytorch 2025-08-14T21:03:59.0185930Z * [new branch] codex/fix-issue-160415-in-pytorch -> origin/codex/fix-issue-160415-in-pytorch 2025-08-14T21:03:59.0187655Z * [new branch] codex/fix-noqengine-quantized-engine-support -> origin/codex/fix-noqengine-quantized-engine-support 2025-08-14T21:03:59.0188803Z * [new branch] codex/fix-pin_memory-error-handling -> origin/codex/fix-pin_memory-error-handling 2025-08-14T21:03:59.0189907Z * [new branch] codex/propose-fix-for-issue-160332 -> origin/codex/propose-fix-for-issue-160332 2025-08-14T21:03:59.0191270Z * [new branch] codex/refactor-lintrunner-config-to-use-uv-run -> origin/codex/refactor-lintrunner-config-to-use-uv-run 2025-08-14T21:03:59.0192248Z * [new branch] codex/verify-torch-output-and-log-results -> origin/codex/verify-torch-output-and-log-results 2025-08-14T21:03:59.0193308Z * [new branch] compile_fsdp2_disable_stream_and_event -> origin/compile_fsdp2_disable_stream_and_event 2025-08-14T21:03:59.0194065Z * [new branch] comply-with-setuptools -> origin/comply-with-setuptools 2025-08-14T21:03:59.0195187Z * [new branch] context_test -> origin/context_test 2025-08-14T21:03:59.0196816Z * [new branch] copilot/fix-157446 -> origin/copilot/fix-157446 2025-08-14T21:03:59.0197711Z * [new branch] copilot/fix-159257 -> origin/copilot/fix-159257 2025-08-14T21:03:59.0198697Z * [new branch] copy_graph -> origin/copy_graph 2025-08-14T21:03:59.0200273Z * [new branch] cpio/fix_new_ami_tests -> origin/cpio/fix_new_ami_tests 2025-08-14T21:03:59.0201505Z * [new branch] csl/3_proc_sm -> origin/csl/3_proc_sm 2025-08-14T21:03:59.0202468Z * [new branch] csl/add_file_merge_conflict_csv -> origin/csl/add_file_merge_conflict_csv 2025-08-14T21:03:59.0203336Z * [new branch] csl/always_produce_xml -> origin/csl/always_produce_xml 2025-08-14T21:03:59.0204346Z * [new branch] csl/build_test_more_procs -> origin/csl/build_test_more_procs 2025-08-14T21:03:59.0205278Z * [new branch] csl/build_test_more_procs2 -> origin/csl/build_test_more_procs2 2025-08-14T21:03:59.0206614Z * [new branch] csl/disable_flaky_cpp_test -> origin/csl/disable_flaky_cpp_test 2025-08-14T21:03:59.0207817Z * [new branch] csl/disable_periodic_test -> origin/csl/disable_periodic_test 2025-08-14T21:03:59.0208808Z * [new branch] csl/executorch_docker_fail -> origin/csl/executorch_docker_fail 2025-08-14T21:03:59.0209736Z * [new branch] csl/fix_check_alerts -> origin/csl/fix_check_alerts 2025-08-14T21:03:59.0210664Z * [new branch] csl/katex -> origin/csl/katex 2025-08-14T21:03:59.0211648Z * [new branch] csl/larger_runner -> origin/csl/larger_runner 2025-08-14T21:03:59.0212795Z * [new branch] csl/lintrunner_changed_files_removed -> origin/csl/lintrunner_changed_files_removed 2025-08-14T21:03:59.0213791Z * [new branch] csl/lintrunner_changed_files_removed_test -> origin/csl/lintrunner_changed_files_removed_test 2025-08-14T21:03:59.0214622Z * [new branch] csl/lintrunner_stuff -> origin/csl/lintrunner_stuff 2025-08-14T21:03:59.0215591Z * [new branch] csl/mps_sharding -> origin/csl/mps_sharding 2025-08-14T21:03:59.0216638Z * [new branch] csl/multistage_docker -> origin/csl/multistage_docker 2025-08-14T21:03:59.0217580Z * [new branch] csl/no_keep_goin_rocm -> origin/csl/no_keep_goin_rocm 2025-08-14T21:03:59.0218537Z * [new branch] csl/not_600_timeout -> origin/csl/not_600_timeout 2025-08-14T21:03:59.0219633Z * [new branch] csl/remove_unused_docker_images -> origin/csl/remove_unused_docker_images 2025-08-14T21:03:59.0220552Z * [new branch] csl/revert_open -> origin/csl/revert_open 2025-08-14T21:03:59.0221658Z * [new branch] csl/rocm_upload_artifacts_while_running -> origin/csl/rocm_upload_artifacts_while_running 2025-08-14T21:03:59.0222548Z * [new branch] csl/skip_build -> origin/csl/skip_build 2025-08-14T21:03:59.0223482Z * [new branch] csl/td_dynamo -> origin/csl/td_dynamo 2025-08-14T21:03:59.0224568Z * [new branch] csl/test_cuda_build_large_runner -> origin/csl/test_cuda_build_large_runner 2025-08-14T21:03:59.0225569Z * [new branch] csl/unused_docker -> origin/csl/unused_docker 2025-08-14T21:03:59.0226619Z * [new branch] csl/win_sccache -> origin/csl/win_sccache 2025-08-14T21:03:59.0227613Z * [new branch] cublasltrelax2 -> origin/cublasltrelax2 2025-08-14T21:03:59.0228585Z * [new branch] cublasrelax2 -> origin/cublasrelax2 2025-08-14T21:03:59.0229608Z * [new branch] cudnnsdparefactor -> origin/cudnnsdparefactor 2025-08-14T21:03:59.0230650Z * [new branch] custom_lowering_dict -> origin/custom_lowering_dict 2025-08-14T21:03:59.0231602Z * [new branch] czhuge_muon_dev -> origin/czhuge_muon_dev 2025-08-14T21:03:59.0233182Z * [new branch] d4l3k/delete_hook -> origin/d4l3k/delete_hook 2025-08-14T21:03:59.0234065Z * [new branch] d4l3k/dist_queue -> origin/d4l3k/dist_queue 2025-08-14T21:03:59.0235004Z * [new branch] d4l3k/wait_stream -> origin/d4l3k/wait_stream 2025-08-14T21:03:59.0236055Z * [new branch] dcp-safetensor-test-fix -> origin/dcp-safetensor-test-fix 2025-08-14T21:03:59.0237001Z * [new branch] dcp_zoc -> origin/dcp_zoc 2025-08-14T21:03:59.0238199Z * [new branch] delete-quant-docs -> origin/delete-quant-docs 2025-08-14T21:03:59.0240865Z * [new branch] dependabot/pip/dot-ci/docker/protobuf-5.29.5 -> origin/dependabot/pip/dot-ci/docker/protobuf-5.29.5 2025-08-14T21:03:59.0241956Z * [new branch] desertfire/test_cpp_wrapper -> origin/desertfire/test_cpp_wrapper 2025-08-14T21:03:59.0243031Z * [new branch] desertfire/triton-cpu-for-aarch64 -> origin/desertfire/triton-cpu-for-aarch64 2025-08-14T21:03:59.0245077Z * [new branch] dev/joona/MPSNDArrayAdd -> origin/dev/joona/MPSNDArrayAdd 2025-08-14T21:03:59.0246156Z * [new branch] dev/joona/Unranked -> origin/dev/joona/Unranked 2025-08-14T21:03:59.0247478Z * [new branch] dev/joona/cat -> origin/dev/joona/cat 2025-08-14T21:03:59.0248573Z * [new branch] dev/joona/cat_remove_graph -> origin/dev/joona/cat_remove_graph 2025-08-14T21:03:59.0249597Z * [new branch] dev/joona/embeddingbag -> origin/dev/joona/embeddingbag 2025-08-14T21:03:59.0250829Z * [new branch] dev/joona/getTensorsString -> origin/dev/joona/getTensorsString 2025-08-14T21:03:59.0252425Z * [new branch] dev/joona/maxpool2dwithindices_errmsg -> origin/dev/joona/maxpool2dwithindices_errmsg 2025-08-14T21:03:59.0253752Z * [new branch] dev/joona/mps_linear_macos14 -> origin/dev/joona/mps_linear_macos14 2025-08-14T21:03:59.0255468Z * [new branch] dev/joona/sdpa -> origin/dev/joona/sdpa 2025-08-14T21:03:59.0256799Z * [new branch] dev/joona/synchronize_benchmark -> origin/dev/joona/synchronize_benchmark 2025-08-14T21:03:59.0257896Z * [new branch] dev/joona/topk_newapi -> origin/dev/joona/topk_newapi 2025-08-14T21:03:59.0259226Z * [new branch] dev/joona/type_inf -> origin/dev/joona/type_inf 2025-08-14T21:03:59.0260317Z * [new branch] dev/joona/upsize3d -> origin/dev/joona/upsize3d 2025-08-14T21:03:59.0261358Z * [new branch] disable -> origin/disable 2025-08-14T21:03:59.0262747Z * [new branch] divyanshk-log-api-usage-datapipes-1 -> origin/divyanshk-log-api-usage-datapipes-1 2025-08-14T21:03:59.0263421Z * [new branch] e2e-baseline -> origin/e2e-baseline 2025-08-14T21:03:59.0265065Z * [new branch] embg/test_inductor_ci_128B -> origin/embg/test_inductor_ci_128B 2025-08-14T21:03:59.0266088Z * [new branch] embg/test_inductor_ci_base -> origin/embg/test_inductor_ci_base 2025-08-14T21:03:59.0267327Z * [new branch] embg/test_inductor_ci_control -> origin/embg/test_inductor_ci_control 2025-08-14T21:03:59.0268157Z * [new branch] embg/triton_l2_prefetch_128B -> origin/embg/triton_l2_prefetch_128B 2025-08-14T21:03:59.0269308Z * [new branch] embg/triton_l2_prefetch_256B -> origin/embg/triton_l2_prefetch_256B 2025-08-14T21:03:59.0270413Z * [new branch] enable-b200-benchmark -> origin/enable-b200-benchmark 2025-08-14T21:03:59.0271436Z * [new branch] eqy-patch-1 -> origin/eqy-patch-1 2025-08-14T21:03:59.0272432Z * [new branch] eqy-patch-10 -> origin/eqy-patch-10 2025-08-14T21:03:59.0273509Z * [new branch] eqy-patch-2 -> origin/eqy-patch-2 2025-08-14T21:03:59.0274570Z * [new branch] example-convert-torch.nn -> origin/example-convert-torch.nn 2025-08-14T21:03:59.0276314Z * [new branch] exclamaforte/amd-ma -> origin/exclamaforte/amd-ma 2025-08-14T21:03:59.0277369Z * [new branch] exclamaforte/bump-transformer-version -> origin/exclamaforte/bump-transformer-version 2025-08-14T21:03:59.0278397Z * [new branch] exclamaforte/combo-kernels-perf-run -> origin/exclamaforte/combo-kernels-perf-run 2025-08-14T21:03:59.0279411Z * [new branch] exclamaforte/debug-autotuner-profile -> origin/exclamaforte/debug-autotuner-profile 2025-08-14T21:03:59.0280352Z * [new branch] exclamaforte/do_bench_refactor -> origin/exclamaforte/do_bench_refactor 2025-08-14T21:03:59.0281776Z * [new branch] exclamaforte/enable-mem-dep-fusion -> origin/exclamaforte/enable-mem-dep-fusion 2025-08-14T21:03:59.0283087Z * [new branch] exclamaforte/fix-exhaustive-autotuning -> origin/exclamaforte/fix-exhaustive-autotuning 2025-08-14T21:03:59.0284108Z * [new branch] exclamaforte/fix-trace-parsing-fx-svg -> origin/exclamaforte/fix-trace-parsing-fx-svg 2025-08-14T21:03:59.0285149Z * [new branch] exclamaforte/force-pointwise-cat-perf-run -> origin/exclamaforte/force-pointwise-cat-perf-run 2025-08-14T21:03:59.0285977Z * [new branch] exclamaforte/fusion-data -> origin/exclamaforte/fusion-data 2025-08-14T21:03:59.0287030Z * [new branch] exclamaforte/gemm-benchmark-run -> origin/exclamaforte/gemm-benchmark-run 2025-08-14T21:03:59.0288032Z * [new branch] exclamaforte/gemm-export-model -> origin/exclamaforte/gemm-export-model 2025-08-14T21:03:59.0288997Z * [new branch] exclamaforte/gemm-model -> origin/exclamaforte/gemm-model 2025-08-14T21:03:59.0290175Z * [new branch] exclamaforte/gemm-model-all-data-collection -> origin/exclamaforte/gemm-model-all-data-collection 2025-08-14T21:03:59.0290962Z * [new branch] exclamaforte/gemm-to-amd -> origin/exclamaforte/gemm-to-amd 2025-08-14T21:03:59.0292047Z * [new branch] exclamaforte/just-gemm-model -> origin/exclamaforte/just-gemm-model 2025-08-14T21:03:59.0293147Z * [new branch] exclamaforte/just-gemm-model-no-refactor -> origin/exclamaforte/just-gemm-model-no-refactor 2025-08-14T21:03:59.0294015Z * [new branch] exclamaforte/memory-counter -> origin/exclamaforte/memory-counter 2025-08-14T21:03:59.0295097Z * [new branch] exclamaforte/scheduler-refactor -> origin/exclamaforte/scheduler-refactor 2025-08-14T21:03:59.0296170Z * [new branch] exclamaforte/test_cpp_wrapper_mode -> origin/exclamaforte/test_cpp_wrapper_mode 2025-08-14T21:03:59.0297195Z * [new branch] exclamaforte/update-autotune-configs -> origin/exclamaforte/update-autotune-configs 2025-08-14T21:03:59.0298223Z * [new branch] exclamaforte/update-autotune-configs-2 -> origin/exclamaforte/update-autotune-configs-2 2025-08-14T21:03:59.0299226Z * [new branch] exclamaforte/update-pandas-numpy-ci -> origin/exclamaforte/update-pandas-numpy-ci 2025-08-14T21:03:59.0300866Z * [new branch] exclamforte/gemm-model-final -> origin/exclamforte/gemm-model-final 2025-08-14T21:03:59.0301602Z * [new branch] exec -> origin/exec 2025-08-14T21:03:59.0302899Z * [new branch] experimental-mosaic -> origin/experimental-mosaic 2025-08-14T21:03:59.0303824Z * [new branch] export-D58091437 -> origin/export-D58091437 2025-08-14T21:03:59.0304920Z * [new branch] export-D61047529 -> origin/export-D61047529 2025-08-14T21:03:59.0306069Z * [new branch] export-D68846308 -> origin/export-D68846308 2025-08-14T21:03:59.0307177Z * [new branch] export-D70112642 -> origin/export-D70112642 2025-08-14T21:03:59.0308300Z * [new branch] export-D71412006 -> origin/export-D71412006 2025-08-14T21:03:59.0309380Z * [new branch] export-D72483950 -> origin/export-D72483950 2025-08-14T21:03:59.0311100Z * [new branch] export-D73042989 -> origin/export-D73042989 2025-08-14T21:03:59.0312022Z * [new branch] export-D73287751 -> origin/export-D73287751 2025-08-14T21:03:59.0313118Z * [new branch] export-D75183591 -> origin/export-D75183591 2025-08-14T21:03:59.0314203Z * [new branch] export-D75605373 -> origin/export-D75605373 2025-08-14T21:03:59.0315324Z * [new branch] export-D75617432 -> origin/export-D75617432 2025-08-14T21:03:59.0316314Z * [new branch] export-D75659965 -> origin/export-D75659965 2025-08-14T21:03:59.0317410Z * [new branch] export-D76080931 -> origin/export-D76080931 2025-08-14T21:03:59.0318493Z * [new branch] export-D76463347 -> origin/export-D76463347 2025-08-14T21:03:59.0319518Z * [new branch] export-D76797250 -> origin/export-D76797250 2025-08-14T21:03:59.0320518Z * [new branch] export-D76885271 -> origin/export-D76885271 2025-08-14T21:03:59.0321497Z * [new branch] export-D76885620 -> origin/export-D76885620 2025-08-14T21:03:59.0322526Z * [new branch] export-D76936623 -> origin/export-D76936623 2025-08-14T21:03:59.0323603Z * [new branch] export-D76958268 -> origin/export-D76958268 2025-08-14T21:03:59.0324611Z * [new branch] export-D78047846 -> origin/export-D78047846 2025-08-14T21:03:59.0325621Z * [new branch] export-D78308105 -> origin/export-D78308105 2025-08-14T21:03:59.0326672Z * [new branch] export-D78363609 -> origin/export-D78363609 2025-08-14T21:03:59.0327664Z * [new branch] export-D78375400 -> origin/export-D78375400 2025-08-14T21:03:59.0328711Z * [new branch] export-D78431075 -> origin/export-D78431075 2025-08-14T21:03:59.0329711Z * [new branch] export-D78431305 -> origin/export-D78431305 2025-08-14T21:03:59.0331176Z * [new branch] export-D78458745 -> origin/export-D78458745 2025-08-14T21:03:59.0332160Z * [new branch] export-D78524147 -> origin/export-D78524147 2025-08-14T21:03:59.0333258Z * [new branch] export-D78580107 -> origin/export-D78580107 2025-08-14T21:03:59.0334326Z * [new branch] export-D78588406 -> origin/export-D78588406 2025-08-14T21:03:59.0335397Z * [new branch] export-D78691422 -> origin/export-D78691422 2025-08-14T21:03:59.0336407Z * [new branch] export-D78758466 -> origin/export-D78758466 2025-08-14T21:03:59.0337424Z * [new branch] export-D78822171 -> origin/export-D78822171 2025-08-14T21:03:59.0338501Z * [new branch] export-D78822351 -> origin/export-D78822351 2025-08-14T21:03:59.0339365Z * [new branch] export-D78822507 -> origin/export-D78822507 2025-08-14T21:03:59.0340466Z * [new branch] export-D78826994 -> origin/export-D78826994 2025-08-14T21:03:59.0341398Z * [new branch] export-D78894142 -> origin/export-D78894142 2025-08-14T21:03:59.0342364Z * [new branch] export-D78894324 -> origin/export-D78894324 2025-08-14T21:03:59.0343385Z * [new branch] export-D78907485 -> origin/export-D78907485 2025-08-14T21:03:59.0344450Z * [new branch] export-D78929245 -> origin/export-D78929245 2025-08-14T21:03:59.0345516Z * [new branch] export-D78934925 -> origin/export-D78934925 2025-08-14T21:03:59.0346726Z * [new branch] export-D78953203 -> origin/export-D78953203 2025-08-14T21:03:59.0348266Z * [new branch] export-D78953229 -> origin/export-D78953229 2025-08-14T21:03:59.0349103Z * [new branch] export-D78957093 -> origin/export-D78957093 2025-08-14T21:03:59.0350061Z * [new branch] export-D78957389 -> origin/export-D78957389 2025-08-14T21:03:59.0351066Z * [new branch] export-D78957974 -> origin/export-D78957974 2025-08-14T21:03:59.0352133Z * [new branch] export-D78979812 -> origin/export-D78979812 2025-08-14T21:03:59.0353120Z * [new branch] export-D78996107 -> origin/export-D78996107 2025-08-14T21:03:59.0354083Z * [new branch] export-D79026433 -> origin/export-D79026433 2025-08-14T21:03:59.0355147Z * [new branch] export-D79230339 -> origin/export-D79230339 2025-08-14T21:03:59.0356576Z * [new branch] export-D79319835 -> origin/export-D79319835 2025-08-14T21:03:59.0357472Z * [new branch] export-D79328456 -> origin/export-D79328456 2025-08-14T21:03:59.0358734Z * [new branch] export-D79534608 -> origin/export-D79534608 2025-08-14T21:03:59.0359693Z * [new branch] export-D79647167 -> origin/export-D79647167 2025-08-14T21:03:59.0360790Z * [new branch] export-D79751098 -> origin/export-D79751098 2025-08-14T21:03:59.0362122Z * [new branch] export-D79785974 -> origin/export-D79785974 2025-08-14T21:03:59.0363109Z * [new branch] export-D80025417 -> origin/export-D80025417 2025-08-14T21:03:59.0364203Z * [new branch] export-D80120333 -> origin/export-D80120333 2025-08-14T21:03:59.0365250Z * [new branch] export-D80214882 -> origin/export-D80214882 2025-08-14T21:03:59.0366466Z * [new branch] exported-model-train-idempotent -> origin/exported-model-train-idempotent 2025-08-14T21:03:59.0367737Z * [new branch] ezyang/wip-aot-descriptors -> origin/ezyang/wip-aot-descriptors 2025-08-14T21:03:59.0368741Z * [new branch] fa_u8_brgemm -> origin/fa_u8_brgemm 2025-08-14T21:03:59.0370161Z * [new branch] fastmath_baseline -> origin/fastmath_baseline 2025-08-14T21:03:59.0371631Z * [new branch] fbcode/warm -> origin/fbcode/warm 2025-08-14T21:03:59.0372818Z * [new branch] fca -> origin/fca 2025-08-14T21:03:59.0373750Z * [new branch] fca2_ca5984c -> origin/fca2_ca5984c 2025-08-14T21:03:59.0374755Z * [new branch] fca5 -> origin/fca5 2025-08-14T21:03:59.0376539Z * [new branch] feature/function-numa-binding -> origin/feature/function-numa-binding 2025-08-14T21:03:59.0377948Z * [new branch] fengyuan/external-proj -> origin/fengyuan/external-proj 2025-08-14T21:03:59.0378942Z * [new branch] fengyuan/out-of-tree-xpu-ops-improve-test -> origin/fengyuan/out-of-tree-xpu-ops-improve-test 2025-08-14T21:03:59.0380081Z * [new branch] fengyuan/out-of-tree-xpu-ops-remove-dtype -> origin/fengyuan/out-of-tree-xpu-ops-remove-dtype 2025-08-14T21:03:59.0381128Z * [new branch] fengyuan/test-xpu -> origin/fengyuan/test-xpu 2025-08-14T21:03:59.0382298Z * [new branch] ffast_math_baseline -> origin/ffast_math_baseline 2025-08-14T21:03:59.0383281Z * [new branch] ffast_math_target -> origin/ffast_math_target 2025-08-14T21:03:59.0384851Z * [new branch] findhao/base_commit -> origin/findhao/base_commit 2025-08-14T21:03:59.0385803Z * [new branch] findhao/base_commit1 -> origin/findhao/base_commit1 2025-08-14T21:03:59.0386883Z * [new branch] findhao/fix-indirect-access -> origin/findhao/fix-indirect-access 2025-08-14T21:03:59.0387777Z * [new branch] findhao/multistream2 -> origin/findhao/multistream2 2025-08-14T21:03:59.0388722Z * [new branch] findhao/multistream5 -> origin/findhao/multistream5 2025-08-14T21:03:59.0389613Z * [new branch] findhao/multistream6 -> origin/findhao/multistream6 2025-08-14T21:03:59.0390588Z * [new branch] findhao/operatorbench3 -> origin/findhao/operatorbench3 2025-08-14T21:03:59.0392203Z * [new branch] findhao/operatorbench5 -> origin/findhao/operatorbench5 2025-08-14T21:03:59.0393502Z * [new branch] findhao/tritonparse -> origin/findhao/tritonparse 2025-08-14T21:03:59.0394503Z * [new branch] fix -> origin/fix 2025-08-14T21:03:59.0395725Z * [new branch] fix-ck-gemm-template-format -> origin/fix-ck-gemm-template-format 2025-08-14T21:03:59.0396616Z * [new branch] fix-config-ignore -> origin/fix-config-ignore 2025-08-14T21:03:59.0397628Z * [new branch] fix-dict-guard -> origin/fix-dict-guard 2025-08-14T21:03:59.0399287Z * [new branch] fix-distributed-warning -> origin/fix-distributed-warning 2025-08-14T21:03:59.0400297Z * [new branch] fix-inductor-periodic-0528 -> origin/fix-inductor-periodic-0528 2025-08-14T21:03:59.0401361Z * [new branch] fix-rlease-feature-template -> origin/fix-rlease-feature-template 2025-08-14T21:03:59.0402304Z * [new branch] fix_153389 -> origin/fix_153389 2025-08-14T21:03:59.0403393Z * [new branch] fixes-triage -> origin/fixes-triage 2025-08-14T21:03:59.0404389Z * [new branch] flash_decoding_cpu -> origin/flash_decoding_cpu 2025-08-14T21:03:59.0405388Z * [new branch] flex-flash -> origin/flex-flash 2025-08-14T21:03:59.0406385Z * [new branch] flex-lowering -> origin/flex-lowering 2025-08-14T21:03:59.0407404Z * [new branch] flex-warning -> origin/flex-warning 2025-08-14T21:03:59.0408477Z * [new branch] flex_attention_functorch_grad -> origin/flex_attention_functorch_grad 2025-08-14T21:03:59.0409463Z * [new branch] flex_flash -> origin/flex_flash 2025-08-14T21:03:59.0411002Z * [new branch] fmassa/fix_memeff_sharding_rule -> origin/fmassa/fix_memeff_sharding_rule 2025-08-14T21:03:59.0411909Z * [new branch] fmassa/try_fix_ac_tag_propagation -> origin/fmassa/try_fix_ac_tag_propagation 2025-08-14T21:03:59.0412892Z * [new branch] fsdp2_trace_rules -> origin/fsdp2_trace_rules 2025-08-14T21:03:59.0413952Z * [new branch] fsdpv2_3d -> origin/fsdpv2_3d 2025-08-14T21:03:59.0415202Z * [new branch] fsdpv2_3d_m1 -> origin/fsdpv2_3d_m1 2025-08-14T21:03:59.0416171Z * [new branch] fx_cpp -> origin/fx_cpp 2025-08-14T21:03:59.0417745Z * [new branch] fy/fix-win -> origin/fy/fix-win 2025-08-14T21:03:59.0420053Z * [new branch] gh/AlnisM/1/base -> origin/gh/AlnisM/1/base 2025-08-14T21:03:59.0421024Z * [new branch] gh/AlnisM/1/head -> origin/gh/AlnisM/1/head 2025-08-14T21:03:59.0422682Z * [new branch] gh/CaoE/2/base -> origin/gh/CaoE/2/base 2025-08-14T21:03:59.0423566Z * [new branch] gh/CaoE/2/head -> origin/gh/CaoE/2/head 2025-08-14T21:03:59.0424583Z * [new branch] gh/CaoE/2/orig -> origin/gh/CaoE/2/orig 2025-08-14T21:03:59.0426740Z * [new branch] gh/ColinPeppler/72/base -> origin/gh/ColinPeppler/72/base 2025-08-14T21:03:59.0427621Z * [new branch] gh/ColinPeppler/72/head -> origin/gh/ColinPeppler/72/head 2025-08-14T21:03:59.0428654Z * [new branch] gh/ColinPeppler/72/orig -> origin/gh/ColinPeppler/72/orig 2025-08-14T21:03:59.0430376Z * [new branch] gh/ColinPeppler/77/base -> origin/gh/ColinPeppler/77/base 2025-08-14T21:03:59.0431324Z * [new branch] gh/ColinPeppler/77/head -> origin/gh/ColinPeppler/77/head 2025-08-14T21:03:59.0432327Z * [new branch] gh/ColinPeppler/77/orig -> origin/gh/ColinPeppler/77/orig 2025-08-14T21:03:59.0433660Z * [new branch] gh/ColinPeppler/78/base -> origin/gh/ColinPeppler/78/base 2025-08-14T21:03:59.0434598Z * [new branch] gh/ColinPeppler/78/head -> origin/gh/ColinPeppler/78/head 2025-08-14T21:03:59.0435563Z * [new branch] gh/ColinPeppler/78/orig -> origin/gh/ColinPeppler/78/orig 2025-08-14T21:03:59.0437433Z * [new branch] gh/EikanWang/67/base -> origin/gh/EikanWang/67/base 2025-08-14T21:03:59.0438373Z * [new branch] gh/EikanWang/67/head -> origin/gh/EikanWang/67/head 2025-08-14T21:03:59.0439809Z * [new branch] gh/EikanWang/80/base -> origin/gh/EikanWang/80/base 2025-08-14T21:03:59.0440697Z * [new branch] gh/EikanWang/80/head -> origin/gh/EikanWang/80/head 2025-08-14T21:03:59.0441772Z * [new branch] gh/EikanWang/80/orig -> origin/gh/EikanWang/80/orig 2025-08-14T21:03:59.0443132Z * [new branch] gh/EikanWang/81/base -> origin/gh/EikanWang/81/base 2025-08-14T21:03:59.0444042Z * [new branch] gh/EikanWang/81/head -> origin/gh/EikanWang/81/head 2025-08-14T21:03:59.0445021Z * [new branch] gh/EikanWang/81/orig -> origin/gh/EikanWang/81/orig 2025-08-14T21:03:59.0447294Z * [new branch] gh/Gasoonjia/1/base -> origin/gh/Gasoonjia/1/base 2025-08-14T21:03:59.0448226Z * [new branch] gh/Gasoonjia/1/head -> origin/gh/Gasoonjia/1/head 2025-08-14T21:03:59.0450033Z * [new branch] gh/H-Huang/131/base -> origin/gh/H-Huang/131/base 2025-08-14T21:03:59.0450963Z * [new branch] gh/H-Huang/131/head -> origin/gh/H-Huang/131/head 2025-08-14T21:03:59.0451912Z * [new branch] gh/H-Huang/131/orig -> origin/gh/H-Huang/131/orig 2025-08-14T21:03:59.0453457Z * [new branch] gh/H-Huang/132/base -> origin/gh/H-Huang/132/base 2025-08-14T21:03:59.0454332Z * [new branch] gh/H-Huang/132/head -> origin/gh/H-Huang/132/head 2025-08-14T21:03:59.0455321Z * [new branch] gh/H-Huang/132/orig -> origin/gh/H-Huang/132/orig 2025-08-14T21:03:59.0456850Z * [new branch] gh/H-Huang/180/base -> origin/gh/H-Huang/180/base 2025-08-14T21:03:59.0457725Z * [new branch] gh/H-Huang/180/head -> origin/gh/H-Huang/180/head 2025-08-14T21:03:59.0458765Z * [new branch] gh/H-Huang/180/orig -> origin/gh/H-Huang/180/orig 2025-08-14T21:03:59.0460144Z * [new branch] gh/H-Huang/182/base -> origin/gh/H-Huang/182/base 2025-08-14T21:03:59.0461037Z * [new branch] gh/H-Huang/182/head -> origin/gh/H-Huang/182/head 2025-08-14T21:03:59.0461991Z * [new branch] gh/H-Huang/182/orig -> origin/gh/H-Huang/182/orig 2025-08-14T21:03:59.0463620Z * [new branch] gh/H-Huang/183/base -> origin/gh/H-Huang/183/base 2025-08-14T21:03:59.0464467Z * [new branch] gh/H-Huang/183/head -> origin/gh/H-Huang/183/head 2025-08-14T21:03:59.0465411Z * [new branch] gh/H-Huang/183/orig -> origin/gh/H-Huang/183/orig 2025-08-14T21:03:59.0467047Z * [new branch] gh/H-Huang/187/base -> origin/gh/H-Huang/187/base 2025-08-14T21:03:59.0467893Z * [new branch] gh/H-Huang/187/head -> origin/gh/H-Huang/187/head 2025-08-14T21:03:59.0468841Z * [new branch] gh/H-Huang/187/orig -> origin/gh/H-Huang/187/orig 2025-08-14T21:03:59.0470587Z * [new branch] gh/H-Huang/192/base -> origin/gh/H-Huang/192/base 2025-08-14T21:03:59.0471461Z * [new branch] gh/H-Huang/192/head -> origin/gh/H-Huang/192/head 2025-08-14T21:03:59.0472465Z * [new branch] gh/H-Huang/192/orig -> origin/gh/H-Huang/192/orig 2025-08-14T21:03:59.0473924Z * [new branch] gh/H-Huang/195/base -> origin/gh/H-Huang/195/base 2025-08-14T21:03:59.0474869Z * [new branch] gh/H-Huang/195/head -> origin/gh/H-Huang/195/head 2025-08-14T21:03:59.0475867Z * [new branch] gh/H-Huang/195/orig -> origin/gh/H-Huang/195/orig 2025-08-14T21:03:59.0477709Z * [new branch] gh/H-Huang/196/base -> origin/gh/H-Huang/196/base 2025-08-14T21:03:59.0478562Z * [new branch] gh/H-Huang/196/head -> origin/gh/H-Huang/196/head 2025-08-14T21:03:59.0479506Z * [new branch] gh/H-Huang/196/orig -> origin/gh/H-Huang/196/orig 2025-08-14T21:03:59.0481102Z * [new branch] gh/H-Huang/197/base -> origin/gh/H-Huang/197/base 2025-08-14T21:03:59.0482303Z * [new branch] gh/H-Huang/197/head -> origin/gh/H-Huang/197/head 2025-08-14T21:03:59.0483284Z * [new branch] gh/H-Huang/197/orig -> origin/gh/H-Huang/197/orig 2025-08-14T21:03:59.0484802Z * [new branch] gh/H-Huang/198/base -> origin/gh/H-Huang/198/base 2025-08-14T21:03:59.0485835Z * [new branch] gh/H-Huang/198/head -> origin/gh/H-Huang/198/head 2025-08-14T21:03:59.0486821Z * [new branch] gh/H-Huang/198/orig -> origin/gh/H-Huang/198/orig 2025-08-14T21:03:59.0488054Z * [new branch] gh/H-Huang/199/base -> origin/gh/H-Huang/199/base 2025-08-14T21:03:59.0489038Z * [new branch] gh/H-Huang/199/head -> origin/gh/H-Huang/199/head 2025-08-14T21:03:59.0490016Z * [new branch] gh/H-Huang/199/orig -> origin/gh/H-Huang/199/orig 2025-08-14T21:03:59.0491546Z * [new branch] gh/H-Huang/200/base -> origin/gh/H-Huang/200/base 2025-08-14T21:03:59.0492433Z * [new branch] gh/H-Huang/200/head -> origin/gh/H-Huang/200/head 2025-08-14T21:03:59.0493416Z * [new branch] gh/H-Huang/200/orig -> origin/gh/H-Huang/200/orig 2025-08-14T21:03:59.0494799Z * [new branch] gh/H-Huang/201/base -> origin/gh/H-Huang/201/base 2025-08-14T21:03:59.0495706Z * [new branch] gh/H-Huang/201/head -> origin/gh/H-Huang/201/head 2025-08-14T21:03:59.0496673Z * [new branch] gh/H-Huang/201/orig -> origin/gh/H-Huang/201/orig 2025-08-14T21:03:59.0498099Z * [new branch] gh/H-Huang/202/base -> origin/gh/H-Huang/202/base 2025-08-14T21:03:59.0499104Z * [new branch] gh/H-Huang/202/head -> origin/gh/H-Huang/202/head 2025-08-14T21:03:59.0500039Z * [new branch] gh/H-Huang/202/orig -> origin/gh/H-Huang/202/orig 2025-08-14T21:03:59.0501430Z * [new branch] gh/H-Huang/203/base -> origin/gh/H-Huang/203/base 2025-08-14T21:03:59.0502348Z * [new branch] gh/H-Huang/203/head -> origin/gh/H-Huang/203/head 2025-08-14T21:03:59.0503410Z * [new branch] gh/H-Huang/203/orig -> origin/gh/H-Huang/203/orig 2025-08-14T21:03:59.0505149Z * [new branch] gh/H-Huang/204/base -> origin/gh/H-Huang/204/base 2025-08-14T21:03:59.0506189Z * [new branch] gh/H-Huang/204/head -> origin/gh/H-Huang/204/head 2025-08-14T21:03:59.0507181Z * [new branch] gh/H-Huang/204/orig -> origin/gh/H-Huang/204/orig 2025-08-14T21:03:59.0508678Z * [new branch] gh/H-Huang/205/base -> origin/gh/H-Huang/205/base 2025-08-14T21:03:59.0509633Z * [new branch] gh/H-Huang/205/head -> origin/gh/H-Huang/205/head 2025-08-14T21:03:59.0510637Z * [new branch] gh/H-Huang/205/orig -> origin/gh/H-Huang/205/orig 2025-08-14T21:03:59.0511950Z * [new branch] gh/H-Huang/206/base -> origin/gh/H-Huang/206/base 2025-08-14T21:03:59.0512861Z * [new branch] gh/H-Huang/206/head -> origin/gh/H-Huang/206/head 2025-08-14T21:03:59.0513828Z * [new branch] gh/H-Huang/206/orig -> origin/gh/H-Huang/206/orig 2025-08-14T21:03:59.0515266Z * [new branch] gh/H-Huang/207/base -> origin/gh/H-Huang/207/base 2025-08-14T21:03:59.0516181Z * [new branch] gh/H-Huang/207/head -> origin/gh/H-Huang/207/head 2025-08-14T21:03:59.0517185Z * [new branch] gh/H-Huang/207/orig -> origin/gh/H-Huang/207/orig 2025-08-14T21:03:59.0518602Z * [new branch] gh/H-Huang/208/base -> origin/gh/H-Huang/208/base 2025-08-14T21:03:59.0519512Z * [new branch] gh/H-Huang/208/head -> origin/gh/H-Huang/208/head 2025-08-14T21:03:59.0520479Z * [new branch] gh/H-Huang/208/orig -> origin/gh/H-Huang/208/orig 2025-08-14T21:03:59.0521914Z * [new branch] gh/H-Huang/209/base -> origin/gh/H-Huang/209/base 2025-08-14T21:03:59.0522801Z * [new branch] gh/H-Huang/209/head -> origin/gh/H-Huang/209/head 2025-08-14T21:03:59.0523854Z * [new branch] gh/H-Huang/209/orig -> origin/gh/H-Huang/209/orig 2025-08-14T21:03:59.0525821Z * [new branch] gh/IvanKobzarev/107/base -> origin/gh/IvanKobzarev/107/base 2025-08-14T21:03:59.0526988Z * [new branch] gh/IvanKobzarev/107/head -> origin/gh/IvanKobzarev/107/head 2025-08-14T21:03:59.0527988Z * [new branch] gh/IvanKobzarev/107/orig -> origin/gh/IvanKobzarev/107/orig 2025-08-14T21:03:59.0529450Z * [new branch] gh/IvanKobzarev/110/base -> origin/gh/IvanKobzarev/110/base 2025-08-14T21:03:59.0530363Z * [new branch] gh/IvanKobzarev/110/head -> origin/gh/IvanKobzarev/110/head 2025-08-14T21:03:59.0531333Z * [new branch] gh/IvanKobzarev/110/orig -> origin/gh/IvanKobzarev/110/orig 2025-08-14T21:03:59.0532851Z * [new branch] gh/IvanKobzarev/111/base -> origin/gh/IvanKobzarev/111/base 2025-08-14T21:03:59.0534040Z * [new branch] gh/IvanKobzarev/111/head -> origin/gh/IvanKobzarev/111/head 2025-08-14T21:03:59.0535046Z * [new branch] gh/IvanKobzarev/111/orig -> origin/gh/IvanKobzarev/111/orig 2025-08-14T21:03:59.0536489Z * [new branch] gh/IvanKobzarev/112/base -> origin/gh/IvanKobzarev/112/base 2025-08-14T21:03:59.0537464Z * [new branch] gh/IvanKobzarev/112/head -> origin/gh/IvanKobzarev/112/head 2025-08-14T21:03:59.0538450Z * [new branch] gh/IvanKobzarev/112/orig -> origin/gh/IvanKobzarev/112/orig 2025-08-14T21:03:59.0539934Z * [new branch] gh/IvanKobzarev/115/base -> origin/gh/IvanKobzarev/115/base 2025-08-14T21:03:59.0540910Z * [new branch] gh/IvanKobzarev/115/head -> origin/gh/IvanKobzarev/115/head 2025-08-14T21:03:59.0541876Z * [new branch] gh/IvanKobzarev/115/orig -> origin/gh/IvanKobzarev/115/orig 2025-08-14T21:03:59.0543630Z * [new branch] gh/IvanKobzarev/116/base -> origin/gh/IvanKobzarev/116/base 2025-08-14T21:03:59.0546351Z * [new branch] gh/IvanKobzarev/116/head -> origin/gh/IvanKobzarev/116/head 2025-08-14T21:03:59.0546956Z * [new branch] gh/IvanKobzarev/116/orig -> origin/gh/IvanKobzarev/116/orig 2025-08-14T21:03:59.0547606Z * [new branch] gh/IvanKobzarev/118/base -> origin/gh/IvanKobzarev/118/base 2025-08-14T21:03:59.0548215Z * [new branch] gh/IvanKobzarev/118/head -> origin/gh/IvanKobzarev/118/head 2025-08-14T21:03:59.0549103Z * [new branch] gh/IvanKobzarev/118/orig -> origin/gh/IvanKobzarev/118/orig 2025-08-14T21:03:59.0550643Z * [new branch] gh/IvanKobzarev/124/base -> origin/gh/IvanKobzarev/124/base 2025-08-14T21:03:59.0551643Z * [new branch] gh/IvanKobzarev/124/head -> origin/gh/IvanKobzarev/124/head 2025-08-14T21:03:59.0552647Z * [new branch] gh/IvanKobzarev/124/orig -> origin/gh/IvanKobzarev/124/orig 2025-08-14T21:03:59.0554192Z * [new branch] gh/IvanKobzarev/126/base -> origin/gh/IvanKobzarev/126/base 2025-08-14T21:03:59.0555215Z * [new branch] gh/IvanKobzarev/126/head -> origin/gh/IvanKobzarev/126/head 2025-08-14T21:03:59.0556198Z * [new branch] gh/IvanKobzarev/126/orig -> origin/gh/IvanKobzarev/126/orig 2025-08-14T21:03:59.0557780Z * [new branch] gh/IvanKobzarev/127/base -> origin/gh/IvanKobzarev/127/base 2025-08-14T21:03:59.0558695Z * [new branch] gh/IvanKobzarev/127/head -> origin/gh/IvanKobzarev/127/head 2025-08-14T21:03:59.0559718Z * [new branch] gh/IvanKobzarev/127/orig -> origin/gh/IvanKobzarev/127/orig 2025-08-14T21:03:59.0561273Z * [new branch] gh/IvanKobzarev/128/base -> origin/gh/IvanKobzarev/128/base 2025-08-14T21:03:59.0562170Z * [new branch] gh/IvanKobzarev/128/head -> origin/gh/IvanKobzarev/128/head 2025-08-14T21:03:59.0563159Z * [new branch] gh/IvanKobzarev/128/orig -> origin/gh/IvanKobzarev/128/orig 2025-08-14T21:03:59.0564728Z * [new branch] gh/IvanKobzarev/129/base -> origin/gh/IvanKobzarev/129/base 2025-08-14T21:03:59.0565596Z * [new branch] gh/IvanKobzarev/129/head -> origin/gh/IvanKobzarev/129/head 2025-08-14T21:03:59.0566527Z * [new branch] gh/IvanKobzarev/129/orig -> origin/gh/IvanKobzarev/129/orig 2025-08-14T21:03:59.0568288Z * [new branch] gh/IvanKobzarev/130/base -> origin/gh/IvanKobzarev/130/base 2025-08-14T21:03:59.0569303Z * [new branch] gh/IvanKobzarev/130/head -> origin/gh/IvanKobzarev/130/head 2025-08-14T21:03:59.0570328Z * [new branch] gh/IvanKobzarev/130/orig -> origin/gh/IvanKobzarev/130/orig 2025-08-14T21:03:59.0571781Z * [new branch] gh/IvanKobzarev/131/base -> origin/gh/IvanKobzarev/131/base 2025-08-14T21:03:59.0572756Z * [new branch] gh/IvanKobzarev/131/head -> origin/gh/IvanKobzarev/131/head 2025-08-14T21:03:59.0573739Z * [new branch] gh/IvanKobzarev/131/orig -> origin/gh/IvanKobzarev/131/orig 2025-08-14T21:03:59.0575224Z * [new branch] gh/IvanKobzarev/132/base -> origin/gh/IvanKobzarev/132/base 2025-08-14T21:03:59.0576372Z * [new branch] gh/IvanKobzarev/132/head -> origin/gh/IvanKobzarev/132/head 2025-08-14T21:03:59.0577438Z * [new branch] gh/IvanKobzarev/132/orig -> origin/gh/IvanKobzarev/132/orig 2025-08-14T21:03:59.0579321Z * [new branch] gh/IvanKobzarev/133/base -> origin/gh/IvanKobzarev/133/base 2025-08-14T21:03:59.0580446Z * [new branch] gh/IvanKobzarev/133/head -> origin/gh/IvanKobzarev/133/head 2025-08-14T21:03:59.0581476Z * [new branch] gh/IvanKobzarev/133/orig -> origin/gh/IvanKobzarev/133/orig 2025-08-14T21:03:59.0583262Z * [new branch] gh/IvanKobzarev/134/base -> origin/gh/IvanKobzarev/134/base 2025-08-14T21:03:59.0584295Z * [new branch] gh/IvanKobzarev/134/head -> origin/gh/IvanKobzarev/134/head 2025-08-14T21:03:59.0585163Z * [new branch] gh/IvanKobzarev/134/orig -> origin/gh/IvanKobzarev/134/orig 2025-08-14T21:03:59.0586887Z * [new branch] gh/IvanKobzarev/135/base -> origin/gh/IvanKobzarev/135/base 2025-08-14T21:03:59.0587876Z * [new branch] gh/IvanKobzarev/135/head -> origin/gh/IvanKobzarev/135/head 2025-08-14T21:03:59.0588863Z * [new branch] gh/IvanKobzarev/135/orig -> origin/gh/IvanKobzarev/135/orig 2025-08-14T21:03:59.0590577Z * [new branch] gh/NikhilAPatel/1/base -> origin/gh/NikhilAPatel/1/base 2025-08-14T21:03:59.0591625Z * [new branch] gh/NikhilAPatel/1/head -> origin/gh/NikhilAPatel/1/head 2025-08-14T21:03:59.0593067Z * [new branch] gh/NikhilAPatel/16/base -> origin/gh/NikhilAPatel/16/base 2025-08-14T21:03:59.0593977Z * [new branch] gh/NikhilAPatel/16/head -> origin/gh/NikhilAPatel/16/head 2025-08-14T21:03:59.0595004Z * [new branch] gh/NikhilAPatel/16/orig -> origin/gh/NikhilAPatel/16/orig 2025-08-14T21:03:59.0596395Z * [new branch] gh/NikhilAPatel/18/base -> origin/gh/NikhilAPatel/18/base 2025-08-14T21:03:59.0597320Z * [new branch] gh/NikhilAPatel/18/head -> origin/gh/NikhilAPatel/18/head 2025-08-14T21:03:59.0598369Z * [new branch] gh/NikhilAPatel/18/orig -> origin/gh/NikhilAPatel/18/orig 2025-08-14T21:03:59.0599757Z * [new branch] gh/NikhilAPatel/19/base -> origin/gh/NikhilAPatel/19/base 2025-08-14T21:03:59.0600646Z * [new branch] gh/NikhilAPatel/19/head -> origin/gh/NikhilAPatel/19/head 2025-08-14T21:03:59.0601641Z * [new branch] gh/NikhilAPatel/19/orig -> origin/gh/NikhilAPatel/19/orig 2025-08-14T21:03:59.0602932Z * [new branch] gh/NikhilAPatel/2/base -> origin/gh/NikhilAPatel/2/base 2025-08-14T21:03:59.0603829Z * [new branch] gh/NikhilAPatel/2/head -> origin/gh/NikhilAPatel/2/head 2025-08-14T21:03:59.0605416Z * [new branch] gh/NikhilAPatel/4/base -> origin/gh/NikhilAPatel/4/base 2025-08-14T21:03:59.0606431Z * [new branch] gh/NikhilAPatel/4/head -> origin/gh/NikhilAPatel/4/head 2025-08-14T21:03:59.0608035Z * [new branch] gh/NikhilAPatel/8/base -> origin/gh/NikhilAPatel/8/base 2025-08-14T21:03:59.0608914Z * [new branch] gh/NikhilAPatel/8/head -> origin/gh/NikhilAPatel/8/head 2025-08-14T21:03:59.0609867Z * [new branch] gh/NikhilAPatel/8/orig -> origin/gh/NikhilAPatel/8/orig 2025-08-14T21:03:59.0611422Z * [new branch] gh/NikhilAPatel/9/base -> origin/gh/NikhilAPatel/9/base 2025-08-14T21:03:59.0612333Z * [new branch] gh/NikhilAPatel/9/head -> origin/gh/NikhilAPatel/9/head 2025-08-14T21:03:59.0613337Z * [new branch] gh/NikhilAPatel/9/orig -> origin/gh/NikhilAPatel/9/orig 2025-08-14T21:03:59.0614958Z * [new branch] gh/PaliC/1/base -> origin/gh/PaliC/1/base 2025-08-14T21:03:59.0615858Z * [new branch] gh/PaliC/1/head -> origin/gh/PaliC/1/head 2025-08-14T21:03:59.0616872Z * [new branch] gh/PaliC/1/orig -> origin/gh/PaliC/1/orig 2025-08-14T21:03:59.0618440Z * [new branch] gh/PaliC/12/base -> origin/gh/PaliC/12/base 2025-08-14T21:03:59.0619453Z * [new branch] gh/PaliC/12/head -> origin/gh/PaliC/12/head 2025-08-14T21:03:59.0620550Z * [new branch] gh/PaliC/12/orig -> origin/gh/PaliC/12/orig 2025-08-14T21:03:59.0621984Z * [new branch] gh/PaliC/13/base -> origin/gh/PaliC/13/base 2025-08-14T21:03:59.0622907Z * [new branch] gh/PaliC/13/head -> origin/gh/PaliC/13/head 2025-08-14T21:03:59.0623879Z * [new branch] gh/PaliC/13/orig -> origin/gh/PaliC/13/orig 2025-08-14T21:03:59.0625563Z * [new branch] gh/PaliC/14/base -> origin/gh/PaliC/14/base 2025-08-14T21:03:59.0626346Z * [new branch] gh/PaliC/14/head -> origin/gh/PaliC/14/head 2025-08-14T21:03:59.0627328Z * [new branch] gh/PaliC/14/orig -> origin/gh/PaliC/14/orig 2025-08-14T21:03:59.0629166Z * [new branch] gh/PaliC/15/base -> origin/gh/PaliC/15/base 2025-08-14T21:03:59.0630074Z * [new branch] gh/PaliC/15/head -> origin/gh/PaliC/15/head 2025-08-14T21:03:59.0631085Z * [new branch] gh/PaliC/15/orig -> origin/gh/PaliC/15/orig 2025-08-14T21:03:59.0632440Z * [new branch] gh/PaliC/16/base -> origin/gh/PaliC/16/base 2025-08-14T21:03:59.0633328Z * [new branch] gh/PaliC/16/head -> origin/gh/PaliC/16/head 2025-08-14T21:03:59.0634857Z * [new branch] gh/PaliC/16/orig -> origin/gh/PaliC/16/orig 2025-08-14T21:03:59.0636173Z * [new branch] gh/PaliC/17/base -> origin/gh/PaliC/17/base 2025-08-14T21:03:59.0637085Z * [new branch] gh/PaliC/17/head -> origin/gh/PaliC/17/head 2025-08-14T21:03:59.0638109Z * [new branch] gh/PaliC/17/orig -> origin/gh/PaliC/17/orig 2025-08-14T21:03:59.0639525Z * [new branch] gh/PaliC/18/base -> origin/gh/PaliC/18/base 2025-08-14T21:03:59.0640426Z * [new branch] gh/PaliC/18/head -> origin/gh/PaliC/18/head 2025-08-14T21:03:59.0641435Z * [new branch] gh/PaliC/18/orig -> origin/gh/PaliC/18/orig 2025-08-14T21:03:59.0642832Z * [new branch] gh/PaliC/19/base -> origin/gh/PaliC/19/base 2025-08-14T21:03:59.0643715Z * [new branch] gh/PaliC/19/head -> origin/gh/PaliC/19/head 2025-08-14T21:03:59.0644696Z * [new branch] gh/PaliC/19/orig -> origin/gh/PaliC/19/orig 2025-08-14T21:03:59.0646069Z * [new branch] gh/PaliC/2/base -> origin/gh/PaliC/2/base 2025-08-14T21:03:59.0647013Z * [new branch] gh/PaliC/2/head -> origin/gh/PaliC/2/head 2025-08-14T21:03:59.0647973Z * [new branch] gh/PaliC/2/orig -> origin/gh/PaliC/2/orig 2025-08-14T21:03:59.0649398Z * [new branch] gh/PaliC/20/base -> origin/gh/PaliC/20/base 2025-08-14T21:03:59.0650338Z * [new branch] gh/PaliC/20/head -> origin/gh/PaliC/20/head 2025-08-14T21:03:59.0651321Z * [new branch] gh/PaliC/20/orig -> origin/gh/PaliC/20/orig 2025-08-14T21:03:59.0652708Z * [new branch] gh/PaliC/21/base -> origin/gh/PaliC/21/base 2025-08-14T21:03:59.0653617Z * [new branch] gh/PaliC/21/head -> origin/gh/PaliC/21/head 2025-08-14T21:03:59.0654630Z * [new branch] gh/PaliC/21/orig -> origin/gh/PaliC/21/orig 2025-08-14T21:03:59.0656057Z * [new branch] gh/PaliC/22/base -> origin/gh/PaliC/22/base 2025-08-14T21:03:59.0657016Z * [new branch] gh/PaliC/22/head -> origin/gh/PaliC/22/head 2025-08-14T21:03:59.0657984Z * [new branch] gh/PaliC/22/orig -> origin/gh/PaliC/22/orig 2025-08-14T21:03:59.0659284Z * [new branch] gh/PaliC/23/base -> origin/gh/PaliC/23/base 2025-08-14T21:03:59.0660201Z * [new branch] gh/PaliC/23/head -> origin/gh/PaliC/23/head 2025-08-14T21:03:59.0661202Z * [new branch] gh/PaliC/23/orig -> origin/gh/PaliC/23/orig 2025-08-14T21:03:59.0662560Z * [new branch] gh/PaliC/24/base -> origin/gh/PaliC/24/base 2025-08-14T21:03:59.0663508Z * [new branch] gh/PaliC/24/head -> origin/gh/PaliC/24/head 2025-08-14T21:03:59.0664513Z * [new branch] gh/PaliC/24/orig -> origin/gh/PaliC/24/orig 2025-08-14T21:03:59.0666515Z * [new branch] gh/PaulZhang12/17/base -> origin/gh/PaulZhang12/17/base 2025-08-14T21:03:59.0667363Z * [new branch] gh/PaulZhang12/17/head -> origin/gh/PaulZhang12/17/head 2025-08-14T21:03:59.0668878Z * [new branch] gh/PaulZhang12/18/base -> origin/gh/PaulZhang12/18/base 2025-08-14T21:03:59.0670037Z * [new branch] gh/PaulZhang12/18/head -> origin/gh/PaulZhang12/18/head 2025-08-14T21:03:59.0671056Z * [new branch] gh/PaulZhang12/18/orig -> origin/gh/PaulZhang12/18/orig 2025-08-14T21:03:59.0672521Z * [new branch] gh/PaulZhang12/19/base -> origin/gh/PaulZhang12/19/base 2025-08-14T21:03:59.0673513Z * [new branch] gh/PaulZhang12/19/head -> origin/gh/PaulZhang12/19/head 2025-08-14T21:03:59.0674514Z * [new branch] gh/PaulZhang12/19/orig -> origin/gh/PaulZhang12/19/orig 2025-08-14T21:03:59.0676153Z * [new branch] gh/PaulZhang12/20/base -> origin/gh/PaulZhang12/20/base 2025-08-14T21:03:59.0678085Z * [new branch] gh/PaulZhang12/20/head -> origin/gh/PaulZhang12/20/head 2025-08-14T21:03:59.0678943Z * [new branch] gh/PaulZhang12/20/orig -> origin/gh/PaulZhang12/20/orig 2025-08-14T21:03:59.0680405Z * [new branch] gh/PaulZhang12/21/base -> origin/gh/PaulZhang12/21/base 2025-08-14T21:03:59.0681386Z * [new branch] gh/PaulZhang12/21/head -> origin/gh/PaulZhang12/21/head 2025-08-14T21:03:59.0700103Z * [new branch] gh/PaulZhang12/21/orig -> origin/gh/PaulZhang12/21/orig 2025-08-14T21:03:59.0700714Z * [new branch] gh/PaulZhang12/22/base -> origin/gh/PaulZhang12/22/base 2025-08-14T21:03:59.0701287Z * [new branch] gh/PaulZhang12/22/head -> origin/gh/PaulZhang12/22/head 2025-08-14T21:03:59.0701867Z * [new branch] gh/PaulZhang12/22/orig -> origin/gh/PaulZhang12/22/orig 2025-08-14T21:03:59.0702445Z * [new branch] gh/SamGinzburg/11/base -> origin/gh/SamGinzburg/11/base 2025-08-14T21:03:59.0703033Z * [new branch] gh/SamGinzburg/11/head -> origin/gh/SamGinzburg/11/head 2025-08-14T21:03:59.0703621Z * [new branch] gh/Sidharth123-cpu/24/base -> origin/gh/Sidharth123-cpu/24/base 2025-08-14T21:03:59.0704234Z * [new branch] gh/Sidharth123-cpu/25/base -> origin/gh/Sidharth123-cpu/25/base 2025-08-14T21:03:59.0704975Z * [new branch] gh/Sidharth123-cpu/26/base -> origin/gh/Sidharth123-cpu/26/base 2025-08-14T21:03:59.0705654Z * [new branch] gh/Sidharth123-cpu/27/base -> origin/gh/Sidharth123-cpu/27/base 2025-08-14T21:03:59.0706262Z * [new branch] gh/Sidharth123-cpu/42/base -> origin/gh/Sidharth123-cpu/42/base 2025-08-14T21:03:59.0706869Z * [new branch] gh/Sidharth123-cpu/42/head -> origin/gh/Sidharth123-cpu/42/head 2025-08-14T21:03:59.0707478Z * [new branch] gh/Sidharth123-cpu/42/orig -> origin/gh/Sidharth123-cpu/42/orig 2025-08-14T21:03:59.0708078Z * [new branch] gh/Sidharth123-cpu/43/base -> origin/gh/Sidharth123-cpu/43/base 2025-08-14T21:03:59.0708711Z * [new branch] gh/Sidharth123-cpu/43/head -> origin/gh/Sidharth123-cpu/43/head 2025-08-14T21:03:59.0709321Z * [new branch] gh/Sidharth123-cpu/43/orig -> origin/gh/Sidharth123-cpu/43/orig 2025-08-14T21:03:59.0709931Z * [new branch] gh/Sidharth123-cpu/44/base -> origin/gh/Sidharth123-cpu/44/base 2025-08-14T21:03:59.0710525Z * [new branch] gh/Sidharth123-cpu/44/head -> origin/gh/Sidharth123-cpu/44/head 2025-08-14T21:03:59.0711134Z * [new branch] gh/Sidharth123-cpu/44/orig -> origin/gh/Sidharth123-cpu/44/orig 2025-08-14T21:03:59.0711740Z * [new branch] gh/Sidharth123-cpu/45/base -> origin/gh/Sidharth123-cpu/45/base 2025-08-14T21:03:59.0712347Z * [new branch] gh/Sidharth123-cpu/45/head -> origin/gh/Sidharth123-cpu/45/head 2025-08-14T21:03:59.0713022Z * [new branch] gh/Sidharth123-cpu/45/orig -> origin/gh/Sidharth123-cpu/45/orig 2025-08-14T21:03:59.0713624Z * [new branch] gh/StrongerXi/1/base -> origin/gh/StrongerXi/1/base 2025-08-14T21:03:59.0714189Z * [new branch] gh/StrongerXi/1/head -> origin/gh/StrongerXi/1/head 2025-08-14T21:03:59.0714765Z * [new branch] gh/StrongerXi/103/base -> origin/gh/StrongerXi/103/base 2025-08-14T21:03:59.0715334Z * [new branch] gh/StrongerXi/103/head -> origin/gh/StrongerXi/103/head 2025-08-14T21:03:59.0715913Z * [new branch] gh/StrongerXi/103/orig -> origin/gh/StrongerXi/103/orig 2025-08-14T21:03:59.0716488Z * [new branch] gh/StrongerXi/133/base -> origin/gh/StrongerXi/133/base 2025-08-14T21:03:59.0717071Z * [new branch] gh/StrongerXi/133/head -> origin/gh/StrongerXi/133/head 2025-08-14T21:03:59.0718024Z * [new branch] gh/StrongerXi/133/orig -> origin/gh/StrongerXi/133/orig 2025-08-14T21:03:59.0719387Z * [new branch] gh/StrongerXi/134/base -> origin/gh/StrongerXi/134/base 2025-08-14T21:03:59.0720238Z * [new branch] gh/StrongerXi/134/head -> origin/gh/StrongerXi/134/head 2025-08-14T21:03:59.0721239Z * [new branch] gh/StrongerXi/134/orig -> origin/gh/StrongerXi/134/orig 2025-08-14T21:03:59.0722729Z * [new branch] gh/StrongerXi/135/base -> origin/gh/StrongerXi/135/base 2025-08-14T21:03:59.0723736Z * [new branch] gh/StrongerXi/135/head -> origin/gh/StrongerXi/135/head 2025-08-14T21:03:59.0724742Z * [new branch] gh/StrongerXi/135/orig -> origin/gh/StrongerXi/135/orig 2025-08-14T21:03:59.0726272Z * [new branch] gh/StrongerXi/136/base -> origin/gh/StrongerXi/136/base 2025-08-14T21:03:59.0727121Z * [new branch] gh/StrongerXi/136/head -> origin/gh/StrongerXi/136/head 2025-08-14T21:03:59.0728101Z * [new branch] gh/StrongerXi/136/orig -> origin/gh/StrongerXi/136/orig 2025-08-14T21:03:59.0729472Z * [new branch] gh/StrongerXi/137/base -> origin/gh/StrongerXi/137/base 2025-08-14T21:03:59.0730400Z * [new branch] gh/StrongerXi/137/head -> origin/gh/StrongerXi/137/head 2025-08-14T21:03:59.0731434Z * [new branch] gh/StrongerXi/137/orig -> origin/gh/StrongerXi/137/orig 2025-08-14T21:03:59.0732878Z * [new branch] gh/StrongerXi/138/base -> origin/gh/StrongerXi/138/base 2025-08-14T21:03:59.0733684Z * [new branch] gh/StrongerXi/138/head -> origin/gh/StrongerXi/138/head 2025-08-14T21:03:59.0734681Z * [new branch] gh/StrongerXi/138/orig -> origin/gh/StrongerXi/138/orig 2025-08-14T21:03:59.0736092Z * [new branch] gh/StrongerXi/71/base -> origin/gh/StrongerXi/71/base 2025-08-14T21:03:59.0737004Z * [new branch] gh/StrongerXi/71/head -> origin/gh/StrongerXi/71/head 2025-08-14T21:03:59.0738394Z * [new branch] gh/StrongerXi/72/base -> origin/gh/StrongerXi/72/base 2025-08-14T21:03:59.0739192Z * [new branch] gh/StrongerXi/72/head -> origin/gh/StrongerXi/72/head 2025-08-14T21:03:59.0741050Z * [new branch] gh/XilunWu/131/base -> origin/gh/XilunWu/131/base 2025-08-14T21:03:59.0742136Z * [new branch] gh/XilunWu/131/head -> origin/gh/XilunWu/131/head 2025-08-14T21:03:59.0743204Z * [new branch] gh/XilunWu/131/orig -> origin/gh/XilunWu/131/orig 2025-08-14T21:03:59.0744766Z * [new branch] gh/XilunWu/133/base -> origin/gh/XilunWu/133/base 2025-08-14T21:03:59.0745736Z * [new branch] gh/XilunWu/133/head -> origin/gh/XilunWu/133/head 2025-08-14T21:03:59.0746832Z * [new branch] gh/XilunWu/133/orig -> origin/gh/XilunWu/133/orig 2025-08-14T21:03:59.0748370Z * [new branch] gh/XilunWu/136/base -> origin/gh/XilunWu/136/base 2025-08-14T21:03:59.0749317Z * [new branch] gh/XilunWu/136/head -> origin/gh/XilunWu/136/head 2025-08-14T21:03:59.0750238Z * [new branch] gh/XilunWu/136/orig -> origin/gh/XilunWu/136/orig 2025-08-14T21:03:59.0751797Z * [new branch] gh/XilunWu/139/base -> origin/gh/XilunWu/139/base 2025-08-14T21:03:59.0752715Z * [new branch] gh/XilunWu/139/head -> origin/gh/XilunWu/139/head 2025-08-14T21:03:59.0753612Z * [new branch] gh/XilunWu/139/orig -> origin/gh/XilunWu/139/orig 2025-08-14T21:03:59.0755086Z * [new branch] gh/XilunWu/143/base -> origin/gh/XilunWu/143/base 2025-08-14T21:03:59.0756088Z * [new branch] gh/XilunWu/143/head -> origin/gh/XilunWu/143/head 2025-08-14T21:03:59.0757049Z * [new branch] gh/XilunWu/143/orig -> origin/gh/XilunWu/143/orig 2025-08-14T21:03:59.0758624Z * [new branch] gh/XilunWu/144/base -> origin/gh/XilunWu/144/base 2025-08-14T21:03:59.0759517Z * [new branch] gh/XilunWu/144/head -> origin/gh/XilunWu/144/head 2025-08-14T21:03:59.0760509Z * [new branch] gh/XilunWu/144/orig -> origin/gh/XilunWu/144/orig 2025-08-14T21:03:59.0762005Z * [new branch] gh/XilunWu/145/base -> origin/gh/XilunWu/145/base 2025-08-14T21:03:59.0762834Z * [new branch] gh/XilunWu/145/head -> origin/gh/XilunWu/145/head 2025-08-14T21:03:59.0763796Z * [new branch] gh/XilunWu/145/orig -> origin/gh/XilunWu/145/orig 2025-08-14T21:03:59.0765049Z * [new branch] gh/XilunWu/146/base -> origin/gh/XilunWu/146/base 2025-08-14T21:03:59.0765950Z * [new branch] gh/XilunWu/146/head -> origin/gh/XilunWu/146/head 2025-08-14T21:03:59.0766932Z * [new branch] gh/XilunWu/146/orig -> origin/gh/XilunWu/146/orig 2025-08-14T21:03:59.0768419Z * [new branch] gh/XilunWu/147/base -> origin/gh/XilunWu/147/base 2025-08-14T21:03:59.0769311Z * [new branch] gh/XilunWu/147/head -> origin/gh/XilunWu/147/head 2025-08-14T21:03:59.0770347Z * [new branch] gh/XilunWu/147/orig -> origin/gh/XilunWu/147/orig 2025-08-14T21:03:59.0771672Z * [new branch] gh/XilunWu/148/base -> origin/gh/XilunWu/148/base 2025-08-14T21:03:59.0772574Z * [new branch] gh/XilunWu/148/head -> origin/gh/XilunWu/148/head 2025-08-14T21:03:59.0773565Z * [new branch] gh/XilunWu/148/orig -> origin/gh/XilunWu/148/orig 2025-08-14T21:03:59.0774840Z * [new branch] gh/XilunWu/149/base -> origin/gh/XilunWu/149/base 2025-08-14T21:03:59.0775715Z * [new branch] gh/XilunWu/149/head -> origin/gh/XilunWu/149/head 2025-08-14T21:03:59.0776935Z * [new branch] gh/XilunWu/149/orig -> origin/gh/XilunWu/149/orig 2025-08-14T21:03:59.0778071Z * [new branch] gh/XilunWu/150/base -> origin/gh/XilunWu/150/base 2025-08-14T21:03:59.0779011Z * [new branch] gh/XilunWu/150/head -> origin/gh/XilunWu/150/head 2025-08-14T21:03:59.0780037Z * [new branch] gh/XilunWu/150/orig -> origin/gh/XilunWu/150/orig 2025-08-14T21:03:59.0781601Z * [new branch] gh/XilunWu/151/base -> origin/gh/XilunWu/151/base 2025-08-14T21:03:59.0782539Z * [new branch] gh/XilunWu/151/head -> origin/gh/XilunWu/151/head 2025-08-14T21:03:59.0783576Z * [new branch] gh/XilunWu/151/orig -> origin/gh/XilunWu/151/orig 2025-08-14T21:03:59.0784966Z * [new branch] gh/XilunWu/152/base -> origin/gh/XilunWu/152/base 2025-08-14T21:03:59.0786224Z * [new branch] gh/XilunWu/152/head -> origin/gh/XilunWu/152/head 2025-08-14T21:03:59.0786767Z * [new branch] gh/XilunWu/152/orig -> origin/gh/XilunWu/152/orig 2025-08-14T21:03:59.0788461Z * [new branch] gh/XilunWu/153/base -> origin/gh/XilunWu/153/base 2025-08-14T21:03:59.0789199Z * [new branch] gh/XilunWu/153/head -> origin/gh/XilunWu/153/head 2025-08-14T21:03:59.0790220Z * [new branch] gh/XilunWu/153/orig -> origin/gh/XilunWu/153/orig 2025-08-14T21:03:59.0791741Z * [new branch] gh/XilunWu/154/base -> origin/gh/XilunWu/154/base 2025-08-14T21:03:59.0793086Z * [new branch] gh/XilunWu/154/head -> origin/gh/XilunWu/154/head 2025-08-14T21:03:59.0793737Z * [new branch] gh/XilunWu/154/orig -> origin/gh/XilunWu/154/orig 2025-08-14T21:03:59.0795795Z * [new branch] gh/XilunWu/156/base -> origin/gh/XilunWu/156/base 2025-08-14T21:03:59.0796805Z * [new branch] gh/XilunWu/156/head -> origin/gh/XilunWu/156/head 2025-08-14T21:03:59.0797880Z * [new branch] gh/XilunWu/156/orig -> origin/gh/XilunWu/156/orig 2025-08-14T21:03:59.0799336Z * [new branch] gh/XilunWu/157/base -> origin/gh/XilunWu/157/base 2025-08-14T21:03:59.0800226Z * [new branch] gh/XilunWu/157/head -> origin/gh/XilunWu/157/head 2025-08-14T21:03:59.0801189Z * [new branch] gh/XilunWu/157/orig -> origin/gh/XilunWu/157/orig 2025-08-14T21:03:59.0802831Z * [new branch] gh/XilunWu/158/base -> origin/gh/XilunWu/158/base 2025-08-14T21:03:59.0803676Z * [new branch] gh/XilunWu/158/head -> origin/gh/XilunWu/158/head 2025-08-14T21:03:59.0804635Z * [new branch] gh/XilunWu/158/orig -> origin/gh/XilunWu/158/orig 2025-08-14T21:03:59.0806384Z * [new branch] gh/XilunWu/159/base -> origin/gh/XilunWu/159/base 2025-08-14T21:03:59.0807435Z * [new branch] gh/XilunWu/159/head -> origin/gh/XilunWu/159/head 2025-08-14T21:03:59.0808439Z * [new branch] gh/XilunWu/159/orig -> origin/gh/XilunWu/159/orig 2025-08-14T21:03:59.0809978Z * [new branch] gh/XilunWu/160/base -> origin/gh/XilunWu/160/base 2025-08-14T21:03:59.0810975Z * [new branch] gh/XilunWu/160/head -> origin/gh/XilunWu/160/head 2025-08-14T21:03:59.0811980Z * [new branch] gh/XilunWu/160/orig -> origin/gh/XilunWu/160/orig 2025-08-14T21:03:59.0813616Z * [new branch] gh/XilunWu/161/base -> origin/gh/XilunWu/161/base 2025-08-14T21:03:59.0814464Z * [new branch] gh/XilunWu/161/head -> origin/gh/XilunWu/161/head 2025-08-14T21:03:59.0815424Z * [new branch] gh/XilunWu/161/orig -> origin/gh/XilunWu/161/orig 2025-08-14T21:03:59.0817036Z * [new branch] gh/XilunWu/162/base -> origin/gh/XilunWu/162/base 2025-08-14T21:03:59.0818099Z * [new branch] gh/XilunWu/162/head -> origin/gh/XilunWu/162/head 2025-08-14T21:03:59.0819087Z * [new branch] gh/XilunWu/162/orig -> origin/gh/XilunWu/162/orig 2025-08-14T21:03:59.0820657Z * [new branch] gh/XilunWu/163/base -> origin/gh/XilunWu/163/base 2025-08-14T21:03:59.0821563Z * [new branch] gh/XilunWu/163/head -> origin/gh/XilunWu/163/head 2025-08-14T21:03:59.0822536Z * [new branch] gh/XilunWu/163/orig -> origin/gh/XilunWu/163/orig 2025-08-14T21:03:59.0824300Z * [new branch] gh/XuehaiPan/14/base -> origin/gh/XuehaiPan/14/base 2025-08-14T21:03:59.0825185Z * [new branch] gh/XuehaiPan/14/head -> origin/gh/XuehaiPan/14/head 2025-08-14T21:03:59.0826353Z * [new branch] gh/XuehaiPan/14/orig -> origin/gh/XuehaiPan/14/orig 2025-08-14T21:03:59.0827825Z * [new branch] gh/XuehaiPan/179/base -> origin/gh/XuehaiPan/179/base 2025-08-14T21:03:59.0828720Z * [new branch] gh/XuehaiPan/179/head -> origin/gh/XuehaiPan/179/head 2025-08-14T21:03:59.0829820Z * [new branch] gh/XuehaiPan/179/orig -> origin/gh/XuehaiPan/179/orig 2025-08-14T21:03:59.0831332Z * [new branch] gh/XuehaiPan/189/base -> origin/gh/XuehaiPan/189/base 2025-08-14T21:03:59.0832156Z * [new branch] gh/XuehaiPan/189/head -> origin/gh/XuehaiPan/189/head 2025-08-14T21:03:59.0833163Z * [new branch] gh/XuehaiPan/189/orig -> origin/gh/XuehaiPan/189/orig 2025-08-14T21:03:59.0834594Z * [new branch] gh/XuehaiPan/227/base -> origin/gh/XuehaiPan/227/base 2025-08-14T21:03:59.0835492Z * [new branch] gh/XuehaiPan/227/head -> origin/gh/XuehaiPan/227/head 2025-08-14T21:03:59.0836481Z * [new branch] gh/XuehaiPan/227/orig -> origin/gh/XuehaiPan/227/orig 2025-08-14T21:03:59.0838080Z * [new branch] gh/XuehaiPan/231/base -> origin/gh/XuehaiPan/231/base 2025-08-14T21:03:59.0838914Z * [new branch] gh/XuehaiPan/231/head -> origin/gh/XuehaiPan/231/head 2025-08-14T21:03:59.0839926Z * [new branch] gh/XuehaiPan/231/orig -> origin/gh/XuehaiPan/231/orig 2025-08-14T21:03:59.0841351Z * [new branch] gh/XuehaiPan/232/base -> origin/gh/XuehaiPan/232/base 2025-08-14T21:03:59.0842283Z * [new branch] gh/XuehaiPan/232/head -> origin/gh/XuehaiPan/232/head 2025-08-14T21:03:59.0843296Z * [new branch] gh/XuehaiPan/232/orig -> origin/gh/XuehaiPan/232/orig 2025-08-14T21:03:59.0844797Z * [new branch] gh/XuehaiPan/249/base -> origin/gh/XuehaiPan/249/base 2025-08-14T21:03:59.0845715Z * [new branch] gh/XuehaiPan/249/head -> origin/gh/XuehaiPan/249/head 2025-08-14T21:03:59.0846756Z * [new branch] gh/XuehaiPan/249/orig -> origin/gh/XuehaiPan/249/orig 2025-08-14T21:03:59.0848122Z * [new branch] gh/XuehaiPan/253/base -> origin/gh/XuehaiPan/253/base 2025-08-14T21:03:59.0848988Z * [new branch] gh/XuehaiPan/253/head -> origin/gh/XuehaiPan/253/head 2025-08-14T21:03:59.0849973Z * [new branch] gh/XuehaiPan/253/orig -> origin/gh/XuehaiPan/253/orig 2025-08-14T21:03:59.0851468Z * [new branch] gh/XuehaiPan/254/base -> origin/gh/XuehaiPan/254/base 2025-08-14T21:03:59.0852427Z * [new branch] gh/XuehaiPan/254/head -> origin/gh/XuehaiPan/254/head 2025-08-14T21:03:59.0853463Z * [new branch] gh/XuehaiPan/254/orig -> origin/gh/XuehaiPan/254/orig 2025-08-14T21:03:59.0854796Z * [new branch] gh/XuehaiPan/255/base -> origin/gh/XuehaiPan/255/base 2025-08-14T21:03:59.0855688Z * [new branch] gh/XuehaiPan/255/head -> origin/gh/XuehaiPan/255/head 2025-08-14T21:03:59.0856659Z * [new branch] gh/XuehaiPan/255/orig -> origin/gh/XuehaiPan/255/orig 2025-08-14T21:03:59.0858079Z * [new branch] gh/XuehaiPan/257/base -> origin/gh/XuehaiPan/257/base 2025-08-14T21:03:59.0858984Z * [new branch] gh/XuehaiPan/257/head -> origin/gh/XuehaiPan/257/head 2025-08-14T21:03:59.0859963Z * [new branch] gh/XuehaiPan/257/orig -> origin/gh/XuehaiPan/257/orig 2025-08-14T21:03:59.0861361Z * [new branch] gh/XuehaiPan/271/base -> origin/gh/XuehaiPan/271/base 2025-08-14T21:03:59.0862310Z * [new branch] gh/XuehaiPan/271/head -> origin/gh/XuehaiPan/271/head 2025-08-14T21:03:59.0863308Z * [new branch] gh/XuehaiPan/271/orig -> origin/gh/XuehaiPan/271/orig 2025-08-14T21:03:59.0864736Z * [new branch] gh/XuehaiPan/283/base -> origin/gh/XuehaiPan/283/base 2025-08-14T21:03:59.0865689Z * [new branch] gh/XuehaiPan/283/head -> origin/gh/XuehaiPan/283/head 2025-08-14T21:03:59.0866783Z * [new branch] gh/XuehaiPan/283/orig -> origin/gh/XuehaiPan/283/orig 2025-08-14T21:03:59.0868227Z * [new branch] gh/XuehaiPan/290/base -> origin/gh/XuehaiPan/290/base 2025-08-14T21:03:59.0869161Z * [new branch] gh/XuehaiPan/290/head -> origin/gh/XuehaiPan/290/head 2025-08-14T21:03:59.0870085Z * [new branch] gh/XuehaiPan/290/orig -> origin/gh/XuehaiPan/290/orig 2025-08-14T21:03:59.0871550Z * [new branch] gh/XuehaiPan/328/base -> origin/gh/XuehaiPan/328/base 2025-08-14T21:03:59.0872503Z * [new branch] gh/XuehaiPan/328/head -> origin/gh/XuehaiPan/328/head 2025-08-14T21:03:59.0873539Z * [new branch] gh/XuehaiPan/328/orig -> origin/gh/XuehaiPan/328/orig 2025-08-14T21:03:59.0875008Z * [new branch] gh/XuehaiPan/339/base -> origin/gh/XuehaiPan/339/base 2025-08-14T21:03:59.0875833Z * [new branch] gh/XuehaiPan/339/head -> origin/gh/XuehaiPan/339/head 2025-08-14T21:03:59.0877020Z * [new branch] gh/XuehaiPan/339/orig -> origin/gh/XuehaiPan/339/orig 2025-08-14T21:03:59.0878451Z * [new branch] gh/XuehaiPan/343/base -> origin/gh/XuehaiPan/343/base 2025-08-14T21:03:59.0879421Z * [new branch] gh/XuehaiPan/343/head -> origin/gh/XuehaiPan/343/head 2025-08-14T21:03:59.0880433Z * [new branch] gh/XuehaiPan/343/orig -> origin/gh/XuehaiPan/343/orig 2025-08-14T21:03:59.0882320Z * [new branch] gh/XuehaiPan/344/base -> origin/gh/XuehaiPan/344/base 2025-08-14T21:03:59.0883266Z * [new branch] gh/XuehaiPan/344/head -> origin/gh/XuehaiPan/344/head 2025-08-14T21:03:59.0884289Z * [new branch] gh/XuehaiPan/344/orig -> origin/gh/XuehaiPan/344/orig 2025-08-14T21:03:59.0885721Z * [new branch] gh/XuehaiPan/345/base -> origin/gh/XuehaiPan/345/base 2025-08-14T21:03:59.0886610Z * [new branch] gh/XuehaiPan/345/head -> origin/gh/XuehaiPan/345/head 2025-08-14T21:03:59.0887653Z * [new branch] gh/XuehaiPan/345/orig -> origin/gh/XuehaiPan/345/orig 2025-08-14T21:03:59.0889100Z * [new branch] gh/XuehaiPan/346/base -> origin/gh/XuehaiPan/346/base 2025-08-14T21:03:59.0890007Z * [new branch] gh/XuehaiPan/346/head -> origin/gh/XuehaiPan/346/head 2025-08-14T21:03:59.0891351Z * [new branch] gh/XuehaiPan/346/orig -> origin/gh/XuehaiPan/346/orig 2025-08-14T21:03:59.0892809Z * [new branch] gh/XuehaiPan/347/base -> origin/gh/XuehaiPan/347/base 2025-08-14T21:03:59.0893717Z * [new branch] gh/XuehaiPan/347/head -> origin/gh/XuehaiPan/347/head 2025-08-14T21:03:59.0894764Z * [new branch] gh/XuehaiPan/347/orig -> origin/gh/XuehaiPan/347/orig 2025-08-14T21:03:59.0896166Z * [new branch] gh/XuehaiPan/348/base -> origin/gh/XuehaiPan/348/base 2025-08-14T21:03:59.0897070Z * [new branch] gh/XuehaiPan/348/head -> origin/gh/XuehaiPan/348/head 2025-08-14T21:03:59.0898046Z * [new branch] gh/XuehaiPan/348/orig -> origin/gh/XuehaiPan/348/orig 2025-08-14T21:03:59.0899556Z * [new branch] gh/XuehaiPan/350/base -> origin/gh/XuehaiPan/350/base 2025-08-14T21:03:59.0900387Z * [new branch] gh/XuehaiPan/350/head -> origin/gh/XuehaiPan/350/head 2025-08-14T21:03:59.0901365Z * [new branch] gh/XuehaiPan/350/orig -> origin/gh/XuehaiPan/350/orig 2025-08-14T21:03:59.0902783Z * [new branch] gh/XuehaiPan/352/base -> origin/gh/XuehaiPan/352/base 2025-08-14T21:03:59.0903664Z * [new branch] gh/XuehaiPan/352/head -> origin/gh/XuehaiPan/352/head 2025-08-14T21:03:59.0904668Z * [new branch] gh/XuehaiPan/352/orig -> origin/gh/XuehaiPan/352/orig 2025-08-14T21:03:59.0906295Z * [new branch] gh/XuehaiPan/356/base -> origin/gh/XuehaiPan/356/base 2025-08-14T21:03:59.0907195Z * [new branch] gh/XuehaiPan/356/head -> origin/gh/XuehaiPan/356/head 2025-08-14T21:03:59.0908193Z * [new branch] gh/XuehaiPan/356/orig -> origin/gh/XuehaiPan/356/orig 2025-08-14T21:03:59.0909822Z * [new branch] gh/XuehaiPan/357/base -> origin/gh/XuehaiPan/357/base 2025-08-14T21:03:59.0910658Z * [new branch] gh/XuehaiPan/357/head -> origin/gh/XuehaiPan/357/head 2025-08-14T21:03:59.0911663Z * [new branch] gh/XuehaiPan/357/orig -> origin/gh/XuehaiPan/357/orig 2025-08-14T21:03:59.0913146Z * [new branch] gh/XuehaiPan/358/base -> origin/gh/XuehaiPan/358/base 2025-08-14T21:03:59.0914030Z * [new branch] gh/XuehaiPan/358/head -> origin/gh/XuehaiPan/358/head 2025-08-14T21:03:59.0914997Z * [new branch] gh/XuehaiPan/358/orig -> origin/gh/XuehaiPan/358/orig 2025-08-14T21:03:59.0916465Z * [new branch] gh/XuehaiPan/359/base -> origin/gh/XuehaiPan/359/base 2025-08-14T21:03:59.0917344Z * [new branch] gh/XuehaiPan/359/head -> origin/gh/XuehaiPan/359/head 2025-08-14T21:03:59.0918348Z * [new branch] gh/XuehaiPan/359/orig -> origin/gh/XuehaiPan/359/orig 2025-08-14T21:03:59.0919754Z * [new branch] gh/XuehaiPan/360/base -> origin/gh/XuehaiPan/360/base 2025-08-14T21:03:59.0921429Z * [new branch] gh/XuehaiPan/360/head -> origin/gh/XuehaiPan/360/head 2025-08-14T21:03:59.0922380Z * [new branch] gh/XuehaiPan/360/orig -> origin/gh/XuehaiPan/360/orig 2025-08-14T21:03:59.0923901Z * [new branch] gh/XuehaiPan/365/base -> origin/gh/XuehaiPan/365/base 2025-08-14T21:03:59.0924800Z * [new branch] gh/XuehaiPan/365/head -> origin/gh/XuehaiPan/365/head 2025-08-14T21:03:59.0925713Z * [new branch] gh/XuehaiPan/365/orig -> origin/gh/XuehaiPan/365/orig 2025-08-14T21:03:59.0927160Z * [new branch] gh/XuehaiPan/366/base -> origin/gh/XuehaiPan/366/base 2025-08-14T21:03:59.0928071Z * [new branch] gh/XuehaiPan/366/head -> origin/gh/XuehaiPan/366/head 2025-08-14T21:03:59.0929591Z * [new branch] gh/XuehaiPan/368/base -> origin/gh/XuehaiPan/368/base 2025-08-14T21:03:59.0930429Z * [new branch] gh/XuehaiPan/368/head -> origin/gh/XuehaiPan/368/head 2025-08-14T21:03:59.0931415Z * [new branch] gh/XuehaiPan/368/orig -> origin/gh/XuehaiPan/368/orig 2025-08-14T21:03:59.0932833Z * [new branch] gh/XuehaiPan/369/base -> origin/gh/XuehaiPan/369/base 2025-08-14T21:03:59.0933721Z * [new branch] gh/XuehaiPan/369/head -> origin/gh/XuehaiPan/369/head 2025-08-14T21:03:59.0934683Z * [new branch] gh/XuehaiPan/369/orig -> origin/gh/XuehaiPan/369/orig 2025-08-14T21:03:59.0936108Z * [new branch] gh/XuehaiPan/370/base -> origin/gh/XuehaiPan/370/base 2025-08-14T21:03:59.0936988Z * [new branch] gh/XuehaiPan/370/head -> origin/gh/XuehaiPan/370/head 2025-08-14T21:03:59.0937944Z * [new branch] gh/XuehaiPan/370/orig -> origin/gh/XuehaiPan/370/orig 2025-08-14T21:03:59.0939465Z * [new branch] gh/XuehaiPan/371/base -> origin/gh/XuehaiPan/371/base 2025-08-14T21:03:59.0940306Z * [new branch] gh/XuehaiPan/371/head -> origin/gh/XuehaiPan/371/head 2025-08-14T21:03:59.0941294Z * [new branch] gh/XuehaiPan/371/orig -> origin/gh/XuehaiPan/371/orig 2025-08-14T21:03:59.0942734Z * [new branch] gh/XuehaiPan/372/base -> origin/gh/XuehaiPan/372/base 2025-08-14T21:03:59.0943586Z * [new branch] gh/XuehaiPan/372/head -> origin/gh/XuehaiPan/372/head 2025-08-14T21:03:59.0944539Z * [new branch] gh/XuehaiPan/372/orig -> origin/gh/XuehaiPan/372/orig 2025-08-14T21:03:59.0945980Z * [new branch] gh/XuehaiPan/373/base -> origin/gh/XuehaiPan/373/base 2025-08-14T21:03:59.0946918Z * [new branch] gh/XuehaiPan/373/head -> origin/gh/XuehaiPan/373/head 2025-08-14T21:03:59.0947949Z * [new branch] gh/XuehaiPan/373/orig -> origin/gh/XuehaiPan/373/orig 2025-08-14T21:03:59.0949524Z * [new branch] gh/XuehaiPan/374/base -> origin/gh/XuehaiPan/374/base 2025-08-14T21:03:59.0950364Z * [new branch] gh/XuehaiPan/374/head -> origin/gh/XuehaiPan/374/head 2025-08-14T21:03:59.0951330Z * [new branch] gh/XuehaiPan/374/orig -> origin/gh/XuehaiPan/374/orig 2025-08-14T21:03:59.0952805Z * [new branch] gh/XuehaiPan/375/base -> origin/gh/XuehaiPan/375/base 2025-08-14T21:03:59.0953673Z * [new branch] gh/XuehaiPan/375/head -> origin/gh/XuehaiPan/375/head 2025-08-14T21:03:59.0954651Z * [new branch] gh/XuehaiPan/375/orig -> origin/gh/XuehaiPan/375/orig 2025-08-14T21:03:59.0956087Z * [new branch] gh/XuehaiPan/376/base -> origin/gh/XuehaiPan/376/base 2025-08-14T21:03:59.0956958Z * [new branch] gh/XuehaiPan/376/head -> origin/gh/XuehaiPan/376/head 2025-08-14T21:03:59.0958041Z * [new branch] gh/XuehaiPan/376/orig -> origin/gh/XuehaiPan/376/orig 2025-08-14T21:03:59.0959420Z * [new branch] gh/XuehaiPan/377/base -> origin/gh/XuehaiPan/377/base 2025-08-14T21:03:59.0960283Z * [new branch] gh/XuehaiPan/377/head -> origin/gh/XuehaiPan/377/head 2025-08-14T21:03:59.0961258Z * [new branch] gh/XuehaiPan/377/orig -> origin/gh/XuehaiPan/377/orig 2025-08-14T21:03:59.0962762Z * [new branch] gh/XuehaiPan/378/base -> origin/gh/XuehaiPan/378/base 2025-08-14T21:03:59.0963696Z * [new branch] gh/XuehaiPan/378/head -> origin/gh/XuehaiPan/378/head 2025-08-14T21:03:59.0964711Z * [new branch] gh/XuehaiPan/378/orig -> origin/gh/XuehaiPan/378/orig 2025-08-14T21:03:59.0966163Z * [new branch] gh/XuehaiPan/379/base -> origin/gh/XuehaiPan/379/base 2025-08-14T21:03:59.0967006Z * [new branch] gh/XuehaiPan/379/head -> origin/gh/XuehaiPan/379/head 2025-08-14T21:03:59.0967990Z * [new branch] gh/XuehaiPan/379/orig -> origin/gh/XuehaiPan/379/orig 2025-08-14T21:03:59.0969683Z * [new branch] gh/ZhiweiYan-96/39/base -> origin/gh/ZhiweiYan-96/39/base 2025-08-14T21:03:59.0970581Z * [new branch] gh/ZhiweiYan-96/39/head -> origin/gh/ZhiweiYan-96/39/head 2025-08-14T21:03:59.0971657Z * [new branch] gh/ZhiweiYan-96/39/orig -> origin/gh/ZhiweiYan-96/39/orig 2025-08-14T21:03:59.0973070Z * [new branch] gh/ZhiweiYan-96/44/base -> origin/gh/ZhiweiYan-96/44/base 2025-08-14T21:03:59.0973933Z * [new branch] gh/ZhiweiYan-96/44/head -> origin/gh/ZhiweiYan-96/44/head 2025-08-14T21:03:59.0975318Z * [new branch] gh/ZhiweiYan-96/45/base -> origin/gh/ZhiweiYan-96/45/base 2025-08-14T21:03:59.0976325Z * [new branch] gh/ZhiweiYan-96/45/head -> origin/gh/ZhiweiYan-96/45/head 2025-08-14T21:03:59.0977805Z * [new branch] gh/ZhiweiYan-96/49/base -> origin/gh/ZhiweiYan-96/49/base 2025-08-14T21:03:59.0978649Z * [new branch] gh/ZhiweiYan-96/49/head -> origin/gh/ZhiweiYan-96/49/head 2025-08-14T21:03:59.0980052Z * [new branch] gh/ZhiweiYan-96/62/base -> origin/gh/ZhiweiYan-96/62/base 2025-08-14T21:03:59.0981140Z * [new branch] gh/ZhiweiYan-96/62/head -> origin/gh/ZhiweiYan-96/62/head 2025-08-14T21:03:59.0982251Z * [new branch] gh/ZhiweiYan-96/64/base -> origin/gh/ZhiweiYan-96/64/base 2025-08-14T21:03:59.0983202Z * [new branch] gh/ZhiweiYan-96/64/head -> origin/gh/ZhiweiYan-96/64/head 2025-08-14T21:03:59.0984172Z * [new branch] gh/ZhiweiYan-96/64/orig -> origin/gh/ZhiweiYan-96/64/orig 2025-08-14T21:03:59.0985559Z * [new branch] gh/ZhiweiYan-96/65/base -> origin/gh/ZhiweiYan-96/65/base 2025-08-14T21:03:59.0986580Z * [new branch] gh/ZhiweiYan-96/65/head -> origin/gh/ZhiweiYan-96/65/head 2025-08-14T21:03:59.0987679Z * [new branch] gh/ZhiweiYan-96/65/orig -> origin/gh/ZhiweiYan-96/65/orig 2025-08-14T21:03:59.0989033Z * [new branch] gh/ZhiweiYan-96/66/base -> origin/gh/ZhiweiYan-96/66/base 2025-08-14T21:03:59.0989944Z * [new branch] gh/ZhiweiYan-96/66/head -> origin/gh/ZhiweiYan-96/66/head 2025-08-14T21:03:59.0991324Z * [new branch] gh/ZhiweiYan-96/67/base -> origin/gh/ZhiweiYan-96/67/base 2025-08-14T21:03:59.0992150Z * [new branch] gh/ZhiweiYan-96/67/head -> origin/gh/ZhiweiYan-96/67/head 2025-08-14T21:03:59.0993577Z * [new branch] gh/ZhiweiYan-96/68/base -> origin/gh/ZhiweiYan-96/68/base 2025-08-14T21:03:59.0994368Z * [new branch] gh/ZhiweiYan-96/68/head -> origin/gh/ZhiweiYan-96/68/head 2025-08-14T21:03:59.0995353Z * [new branch] gh/ZhiweiYan-96/68/orig -> origin/gh/ZhiweiYan-96/68/orig 2025-08-14T21:03:59.0997116Z * [new branch] gh/aakhundov/1/base -> origin/gh/aakhundov/1/base 2025-08-14T21:03:59.0998248Z * [new branch] gh/aakhundov/1/head -> origin/gh/aakhundov/1/head 2025-08-14T21:03:59.0999245Z * [new branch] gh/aakhundov/2/base -> origin/gh/aakhundov/2/base 2025-08-14T21:03:59.1000291Z * [new branch] gh/aakhundov/2/head -> origin/gh/aakhundov/2/head 2025-08-14T21:03:59.1001769Z * [new branch] gh/aditew01/openblas -> origin/gh/aditew01/openblas 2025-08-14T21:03:59.1002631Z * [new branch] gh/aditew01/sbgemm -> origin/gh/aditew01/sbgemm 2025-08-14T21:03:59.1003610Z * [new branch] gh/aditew01/vecbf16 -> origin/gh/aditew01/vecbf16 2025-08-14T21:03:59.1005385Z * [new branch] gh/alexbrauckmann/paddedtensor_faketensor_init -> origin/gh/alexbrauckmann/paddedtensor_faketensor_init 2025-08-14T21:03:59.1006723Z * [new branch] gh/alexbrauckmann/paddedtensor_init -> origin/gh/alexbrauckmann/paddedtensor_init 2025-08-14T21:03:59.1007629Z * [new branch] gh/alexbrauckmann/paddedtensor_meta_init -> origin/gh/alexbrauckmann/paddedtensor_meta_init 2025-08-14T21:03:59.1008651Z * [new branch] gh/alexsamardzic/7/base -> origin/gh/alexsamardzic/7/base 2025-08-14T21:03:59.1009622Z * [new branch] gh/alexsamardzic/7/head -> origin/gh/alexsamardzic/7/head 2025-08-14T21:03:59.1010610Z * [new branch] gh/alexsamardzic/7/orig -> origin/gh/alexsamardzic/7/orig 2025-08-14T21:03:59.1012165Z * [new branch] gh/alexsamardzic/8/base -> origin/gh/alexsamardzic/8/base 2025-08-14T21:03:59.1013192Z * [new branch] gh/alexsamardzic/8/head -> origin/gh/alexsamardzic/8/head 2025-08-14T21:03:59.1014208Z * [new branch] gh/alexsamardzic/8/orig -> origin/gh/alexsamardzic/8/orig 2025-08-14T21:03:59.1015768Z * [new branch] gh/amjames/18/base -> origin/gh/amjames/18/base 2025-08-14T21:03:59.1016674Z * [new branch] gh/amjames/18/head -> origin/gh/amjames/18/head 2025-08-14T21:03:59.1017665Z * [new branch] gh/amjames/18/orig -> origin/gh/amjames/18/orig 2025-08-14T21:03:59.1019570Z * [new branch] gh/andrewor14/35/base -> origin/gh/andrewor14/35/base 2025-08-14T21:03:59.1020594Z * [new branch] gh/andrewor14/35/head -> origin/gh/andrewor14/35/head 2025-08-14T21:03:59.1021572Z * [new branch] gh/andrewor14/35/orig -> origin/gh/andrewor14/35/orig 2025-08-14T21:03:59.1023165Z * [new branch] gh/andrewor14/50/base -> origin/gh/andrewor14/50/base 2025-08-14T21:03:59.1024135Z * [new branch] gh/andrewor14/50/head -> origin/gh/andrewor14/50/head 2025-08-14T21:03:59.1025238Z * [new branch] gh/andrewor14/50/orig -> origin/gh/andrewor14/50/orig 2025-08-14T21:03:59.1027268Z * [new branch] gh/andyanwang/1/base -> origin/gh/andyanwang/1/base 2025-08-14T21:03:59.1028157Z * [new branch] gh/andyanwang/1/head -> origin/gh/andyanwang/1/head 2025-08-14T21:03:59.1029096Z * [new branch] gh/andyanwang/1/orig -> origin/gh/andyanwang/1/orig 2025-08-14T21:03:59.1030743Z * [new branch] gh/andyanwang/13/base -> origin/gh/andyanwang/13/base 2025-08-14T21:03:59.1031675Z * [new branch] gh/andyanwang/13/head -> origin/gh/andyanwang/13/head 2025-08-14T21:03:59.1032701Z * [new branch] gh/andyanwang/13/orig -> origin/gh/andyanwang/13/orig 2025-08-14T21:03:59.1034137Z * [new branch] gh/andyanwang/2/base -> origin/gh/andyanwang/2/base 2025-08-14T21:03:59.1035049Z * [new branch] gh/andyanwang/2/head -> origin/gh/andyanwang/2/head 2025-08-14T21:03:59.1036047Z * [new branch] gh/andyanwang/2/orig -> origin/gh/andyanwang/2/orig 2025-08-14T21:03:59.1037615Z * [new branch] gh/andyanwang/28/base -> origin/gh/andyanwang/28/base 2025-08-14T21:03:59.1038541Z * [new branch] gh/andyanwang/28/head -> origin/gh/andyanwang/28/head 2025-08-14T21:03:59.1039576Z * [new branch] gh/andyanwang/28/orig -> origin/gh/andyanwang/28/orig 2025-08-14T21:03:59.1040875Z * [new branch] gh/andyanwang/3/base -> origin/gh/andyanwang/3/base 2025-08-14T21:03:59.1041816Z * [new branch] gh/andyanwang/3/head -> origin/gh/andyanwang/3/head 2025-08-14T21:03:59.1042767Z * [new branch] gh/andyanwang/3/orig -> origin/gh/andyanwang/3/orig 2025-08-14T21:03:59.1044718Z * [new branch] gh/andyanwang/30/base -> origin/gh/andyanwang/30/base 2025-08-14T21:03:59.1045776Z * [new branch] gh/andyanwang/30/orig -> origin/gh/andyanwang/30/orig 2025-08-14T21:03:59.1047283Z * [new branch] gh/andyanwang/31/base -> origin/gh/andyanwang/31/base 2025-08-14T21:03:59.1048386Z * [new branch] gh/andyanwang/31/orig -> origin/gh/andyanwang/31/orig 2025-08-14T21:03:59.1050086Z * [new branch] gh/andyanwang/32/base -> origin/gh/andyanwang/32/base 2025-08-14T21:03:59.1051009Z * [new branch] gh/andyanwang/32/head -> origin/gh/andyanwang/32/head 2025-08-14T21:03:59.1052169Z * [new branch] gh/andyanwang/32/orig -> origin/gh/andyanwang/32/orig 2025-08-14T21:03:59.1054023Z * [new branch] gh/andyanwang/33/base -> origin/gh/andyanwang/33/base 2025-08-14T21:03:59.1054918Z * [new branch] gh/andyanwang/33/head -> origin/gh/andyanwang/33/head 2025-08-14T21:03:59.1055552Z * [new branch] gh/andyanwang/33/orig -> origin/gh/andyanwang/33/orig 2025-08-14T21:03:59.1056998Z * [new branch] gh/andyanwang/34/base -> origin/gh/andyanwang/34/base 2025-08-14T21:03:59.1057979Z * [new branch] gh/andyanwang/34/head -> origin/gh/andyanwang/34/head 2025-08-14T21:03:59.1059042Z * [new branch] gh/andyanwang/34/orig -> origin/gh/andyanwang/34/orig 2025-08-14T21:03:59.1060668Z * [new branch] gh/andyanwang/35/base -> origin/gh/andyanwang/35/base 2025-08-14T21:03:59.1061628Z * [new branch] gh/andyanwang/35/head -> origin/gh/andyanwang/35/head 2025-08-14T21:03:59.1062659Z * [new branch] gh/andyanwang/35/orig -> origin/gh/andyanwang/35/orig 2025-08-14T21:03:59.1064389Z * [new branch] gh/andyanwang/36/base -> origin/gh/andyanwang/36/base 2025-08-14T21:03:59.1065800Z * [new branch] gh/andyanwang/36/head -> origin/gh/andyanwang/36/head 2025-08-14T21:03:59.1066927Z * [new branch] gh/andyanwang/36/orig -> origin/gh/andyanwang/36/orig 2025-08-14T21:03:59.1068579Z * [new branch] gh/andyanwang/37/base -> origin/gh/andyanwang/37/base 2025-08-14T21:03:59.1069869Z * [new branch] gh/andyanwang/37/head -> origin/gh/andyanwang/37/head 2025-08-14T21:03:59.1071029Z * [new branch] gh/andyanwang/37/orig -> origin/gh/andyanwang/37/orig 2025-08-14T21:03:59.1072300Z * [new branch] gh/andyanwang/38/base -> origin/gh/andyanwang/38/base 2025-08-14T21:03:59.1073243Z * [new branch] gh/andyanwang/38/head -> origin/gh/andyanwang/38/head 2025-08-14T21:03:59.1074298Z * [new branch] gh/andyanwang/38/orig -> origin/gh/andyanwang/38/orig 2025-08-14T21:03:59.1075805Z * [new branch] gh/andyanwang/39/base -> origin/gh/andyanwang/39/base 2025-08-14T21:03:59.1076978Z * [new branch] gh/andyanwang/39/head -> origin/gh/andyanwang/39/head 2025-08-14T21:03:59.1077977Z * [new branch] gh/andyanwang/39/orig -> origin/gh/andyanwang/39/orig 2025-08-14T21:03:59.1079571Z * [new branch] gh/andyanwang/4/base -> origin/gh/andyanwang/4/base 2025-08-14T21:03:59.1080434Z * [new branch] gh/andyanwang/4/head -> origin/gh/andyanwang/4/head 2025-08-14T21:03:59.1081431Z * [new branch] gh/andyanwang/4/orig -> origin/gh/andyanwang/4/orig 2025-08-14T21:03:59.1082853Z * [new branch] gh/andyanwang/40/base -> origin/gh/andyanwang/40/base 2025-08-14T21:03:59.1083849Z * [new branch] gh/andyanwang/40/head -> origin/gh/andyanwang/40/head 2025-08-14T21:03:59.1084877Z * [new branch] gh/andyanwang/40/orig -> origin/gh/andyanwang/40/orig 2025-08-14T21:03:59.1086545Z * [new branch] gh/angelayi/102/base -> origin/gh/angelayi/102/base 2025-08-14T21:03:59.1087441Z * [new branch] gh/angelayi/102/head -> origin/gh/angelayi/102/head 2025-08-14T21:03:59.1088443Z * [new branch] gh/angelayi/102/orig -> origin/gh/angelayi/102/orig 2025-08-14T21:03:59.1089761Z * [new branch] gh/angelayi/103/base -> origin/gh/angelayi/103/base 2025-08-14T21:03:59.1090648Z * [new branch] gh/angelayi/103/head -> origin/gh/angelayi/103/head 2025-08-14T21:03:59.1091605Z * [new branch] gh/angelayi/103/orig -> origin/gh/angelayi/103/orig 2025-08-14T21:03:59.1093037Z * [new branch] gh/angelayi/104/base -> origin/gh/angelayi/104/base 2025-08-14T21:03:59.1093952Z * [new branch] gh/angelayi/104/head -> origin/gh/angelayi/104/head 2025-08-14T21:03:59.1094933Z * [new branch] gh/angelayi/104/orig -> origin/gh/angelayi/104/orig 2025-08-14T21:03:59.1096318Z * [new branch] gh/angelayi/105/base -> origin/gh/angelayi/105/base 2025-08-14T21:03:59.1097206Z * [new branch] gh/angelayi/105/head -> origin/gh/angelayi/105/head 2025-08-14T21:03:59.1098166Z * [new branch] gh/angelayi/105/orig -> origin/gh/angelayi/105/orig 2025-08-14T21:03:59.1099550Z * [new branch] gh/angelayi/106/base -> origin/gh/angelayi/106/base 2025-08-14T21:03:59.1100422Z * [new branch] gh/angelayi/106/head -> origin/gh/angelayi/106/head 2025-08-14T21:03:59.1101377Z * [new branch] gh/angelayi/106/orig -> origin/gh/angelayi/106/orig 2025-08-14T21:03:59.1103253Z * [new branch] gh/angelayi/107/base -> origin/gh/angelayi/107/base 2025-08-14T21:03:59.1104211Z * [new branch] gh/angelayi/107/head -> origin/gh/angelayi/107/head 2025-08-14T21:03:59.1105755Z * [new branch] gh/angelayi/108/base -> origin/gh/angelayi/108/base 2025-08-14T21:03:59.1106658Z * [new branch] gh/angelayi/108/head -> origin/gh/angelayi/108/head 2025-08-14T21:03:59.1107702Z * [new branch] gh/angelayi/108/orig -> origin/gh/angelayi/108/orig 2025-08-14T21:03:59.1109045Z * [new branch] gh/angelayi/109/base -> origin/gh/angelayi/109/base 2025-08-14T21:03:59.1109903Z * [new branch] gh/angelayi/109/head -> origin/gh/angelayi/109/head 2025-08-14T21:03:59.1110986Z * [new branch] gh/angelayi/109/orig -> origin/gh/angelayi/109/orig 2025-08-14T21:03:59.1112294Z * [new branch] gh/angelayi/110/base -> origin/gh/angelayi/110/base 2025-08-14T21:03:59.1113159Z * [new branch] gh/angelayi/110/head -> origin/gh/angelayi/110/head 2025-08-14T21:03:59.1114178Z * [new branch] gh/angelayi/110/orig -> origin/gh/angelayi/110/orig 2025-08-14T21:03:59.1115516Z * [new branch] gh/angelayi/97/base -> origin/gh/angelayi/97/base 2025-08-14T21:03:59.1116425Z * [new branch] gh/angelayi/97/head -> origin/gh/angelayi/97/head 2025-08-14T21:03:59.1117463Z * [new branch] gh/angelayi/97/orig -> origin/gh/angelayi/97/orig 2025-08-14T21:03:59.1119124Z * [new branch] gh/ani300/1/base -> origin/gh/ani300/1/base 2025-08-14T21:03:59.1120022Z * [new branch] gh/ani300/1/head -> origin/gh/ani300/1/head 2025-08-14T21:03:59.1121019Z * [new branch] gh/ani300/1/orig -> origin/gh/ani300/1/orig 2025-08-14T21:03:59.1122840Z * [new branch] gh/anijain2305/753/base -> origin/gh/anijain2305/753/base 2025-08-14T21:03:59.1123749Z * [new branch] gh/anijain2305/753/head -> origin/gh/anijain2305/753/head 2025-08-14T21:03:59.1124709Z * [new branch] gh/anijain2305/753/orig -> origin/gh/anijain2305/753/orig 2025-08-14T21:03:59.1126224Z * [new branch] gh/anijain2305/766/base -> origin/gh/anijain2305/766/base 2025-08-14T21:03:59.1127097Z * [new branch] gh/anijain2305/766/head -> origin/gh/anijain2305/766/head 2025-08-14T21:03:59.1128096Z * [new branch] gh/anijain2305/766/orig -> origin/gh/anijain2305/766/orig 2025-08-14T21:03:59.1129557Z * [new branch] gh/anijain2305/790/base -> origin/gh/anijain2305/790/base 2025-08-14T21:03:59.1130472Z * [new branch] gh/anijain2305/790/head -> origin/gh/anijain2305/790/head 2025-08-14T21:03:59.1131814Z * [new branch] gh/anijain2305/790/orig -> origin/gh/anijain2305/790/orig 2025-08-14T21:03:59.1132798Z * [new branch] gh/anijain2305/792/base -> origin/gh/anijain2305/792/base 2025-08-14T21:03:59.1133754Z * [new branch] gh/anijain2305/792/head -> origin/gh/anijain2305/792/head 2025-08-14T21:03:59.1134732Z * [new branch] gh/anijain2305/792/orig -> origin/gh/anijain2305/792/orig 2025-08-14T21:03:59.1136238Z * [new branch] gh/anijain2305/803/base -> origin/gh/anijain2305/803/base 2025-08-14T21:03:59.1137295Z * [new branch] gh/anijain2305/803/head -> origin/gh/anijain2305/803/head 2025-08-14T21:03:59.1138135Z * [new branch] gh/anijain2305/803/orig -> origin/gh/anijain2305/803/orig 2025-08-14T21:03:59.1139568Z * [new branch] gh/anijain2305/804/base -> origin/gh/anijain2305/804/base 2025-08-14T21:03:59.1140478Z * [new branch] gh/anijain2305/804/head -> origin/gh/anijain2305/804/head 2025-08-14T21:03:59.1141467Z * [new branch] gh/anijain2305/804/orig -> origin/gh/anijain2305/804/orig 2025-08-14T21:03:59.1142884Z * [new branch] gh/anijain2305/805/base -> origin/gh/anijain2305/805/base 2025-08-14T21:03:59.1143791Z * [new branch] gh/anijain2305/805/head -> origin/gh/anijain2305/805/head 2025-08-14T21:03:59.1144785Z * [new branch] gh/anijain2305/805/orig -> origin/gh/anijain2305/805/orig 2025-08-14T21:03:59.1146401Z * [new branch] gh/anijain2305/810/base -> origin/gh/anijain2305/810/base 2025-08-14T21:03:59.1147299Z * [new branch] gh/anijain2305/810/head -> origin/gh/anijain2305/810/head 2025-08-14T21:03:59.1148313Z * [new branch] gh/anijain2305/810/orig -> origin/gh/anijain2305/810/orig 2025-08-14T21:03:59.1149873Z * [new branch] gh/anijain2305/811/base -> origin/gh/anijain2305/811/base 2025-08-14T21:03:59.1150671Z * [new branch] gh/anijain2305/811/head -> origin/gh/anijain2305/811/head 2025-08-14T21:03:59.1151638Z * [new branch] gh/anijain2305/811/orig -> origin/gh/anijain2305/811/orig 2025-08-14T21:03:59.1153570Z * [new branch] gh/anijain2305/812/base -> origin/gh/anijain2305/812/base 2025-08-14T21:03:59.1154510Z * [new branch] gh/anijain2305/812/head -> origin/gh/anijain2305/812/head 2025-08-14T21:03:59.1155490Z * [new branch] gh/anijain2305/812/orig -> origin/gh/anijain2305/812/orig 2025-08-14T21:03:59.1156970Z * [new branch] gh/anijain2305/813/base -> origin/gh/anijain2305/813/base 2025-08-14T21:03:59.1157965Z * [new branch] gh/anijain2305/813/head -> origin/gh/anijain2305/813/head 2025-08-14T21:03:59.1158928Z * [new branch] gh/anijain2305/813/orig -> origin/gh/anijain2305/813/orig 2025-08-14T21:03:59.1160339Z * [new branch] gh/anijain2305/814/base -> origin/gh/anijain2305/814/base 2025-08-14T21:03:59.1161230Z * [new branch] gh/anijain2305/814/head -> origin/gh/anijain2305/814/head 2025-08-14T21:03:59.1162236Z * [new branch] gh/anijain2305/814/orig -> origin/gh/anijain2305/814/orig 2025-08-14T21:03:59.1163656Z * [new branch] gh/anijain2305/815/base -> origin/gh/anijain2305/815/base 2025-08-14T21:03:59.1164526Z * [new branch] gh/anijain2305/815/head -> origin/gh/anijain2305/815/head 2025-08-14T21:03:59.1165489Z * [new branch] gh/anijain2305/815/orig -> origin/gh/anijain2305/815/orig 2025-08-14T21:03:59.1166912Z * [new branch] gh/anijain2305/816/base -> origin/gh/anijain2305/816/base 2025-08-14T21:03:59.1167784Z * [new branch] gh/anijain2305/816/head -> origin/gh/anijain2305/816/head 2025-08-14T21:03:59.1169138Z * [new branch] gh/anijain2305/817/base -> origin/gh/anijain2305/817/base 2025-08-14T21:03:59.1170033Z * [new branch] gh/anijain2305/817/head -> origin/gh/anijain2305/817/head 2025-08-14T21:03:59.1171017Z * [new branch] gh/anijain2305/817/orig -> origin/gh/anijain2305/817/orig 2025-08-14T21:03:59.1172463Z * [new branch] gh/anijain2305/818/base -> origin/gh/anijain2305/818/base 2025-08-14T21:03:59.1173525Z * [new branch] gh/anijain2305/818/head -> origin/gh/anijain2305/818/head 2025-08-14T21:03:59.1174491Z * [new branch] gh/anijain2305/818/orig -> origin/gh/anijain2305/818/orig 2025-08-14T21:03:59.1176415Z * [new branch] gh/anijain2305/819/base -> origin/gh/anijain2305/819/base 2025-08-14T21:03:59.1179238Z * [new branch] gh/anijain2305/819/head -> origin/gh/anijain2305/819/head 2025-08-14T21:03:59.1180268Z * [new branch] gh/anijain2305/819/orig -> origin/gh/anijain2305/819/orig 2025-08-14T21:03:59.1181734Z * [new branch] gh/anijain2305/820/base -> origin/gh/anijain2305/820/base 2025-08-14T21:03:59.1182803Z * [new branch] gh/anijain2305/820/head -> origin/gh/anijain2305/820/head 2025-08-14T21:03:59.1183773Z * [new branch] gh/anijain2305/820/orig -> origin/gh/anijain2305/820/orig 2025-08-14T21:03:59.1185064Z * [new branch] gh/anijain2305/821/base -> origin/gh/anijain2305/821/base 2025-08-14T21:03:59.1186133Z * [new branch] gh/anijain2305/821/head -> origin/gh/anijain2305/821/head 2025-08-14T21:03:59.1187155Z * [new branch] gh/anijain2305/821/orig -> origin/gh/anijain2305/821/orig 2025-08-14T21:03:59.1188581Z * [new branch] gh/anijain2305/822/base -> origin/gh/anijain2305/822/base 2025-08-14T21:03:59.1189757Z * [new branch] gh/anijain2305/822/head -> origin/gh/anijain2305/822/head 2025-08-14T21:03:59.1190975Z * [new branch] gh/anijain2305/822/orig -> origin/gh/anijain2305/822/orig 2025-08-14T21:03:59.1192031Z * [new branch] gh/anijain2305/823/base -> origin/gh/anijain2305/823/base 2025-08-14T21:03:59.1192987Z * [new branch] gh/anijain2305/823/head -> origin/gh/anijain2305/823/head 2025-08-14T21:03:59.1193979Z * [new branch] gh/anijain2305/823/orig -> origin/gh/anijain2305/823/orig 2025-08-14T21:03:59.1195475Z * [new branch] gh/anijain2305/824/base -> origin/gh/anijain2305/824/base 2025-08-14T21:03:59.1196517Z * [new branch] gh/anijain2305/824/head -> origin/gh/anijain2305/824/head 2025-08-14T21:03:59.1197559Z * [new branch] gh/anijain2305/824/orig -> origin/gh/anijain2305/824/orig 2025-08-14T21:03:59.1199010Z * [new branch] gh/anijain2305/825/base -> origin/gh/anijain2305/825/base 2025-08-14T21:03:59.1200005Z * [new branch] gh/anijain2305/825/head -> origin/gh/anijain2305/825/head 2025-08-14T21:03:59.1200993Z * [new branch] gh/anijain2305/825/orig -> origin/gh/anijain2305/825/orig 2025-08-14T21:03:59.1202360Z * [new branch] gh/anijain2305/826/base -> origin/gh/anijain2305/826/base 2025-08-14T21:03:59.1203357Z * [new branch] gh/anijain2305/826/head -> origin/gh/anijain2305/826/head 2025-08-14T21:03:59.1204341Z * [new branch] gh/anijain2305/826/orig -> origin/gh/anijain2305/826/orig 2025-08-14T21:03:59.1205616Z * [new branch] gh/anijain2305/827/base -> origin/gh/anijain2305/827/base 2025-08-14T21:03:59.1206656Z * [new branch] gh/anijain2305/827/head -> origin/gh/anijain2305/827/head 2025-08-14T21:03:59.1207605Z * [new branch] gh/anijain2305/827/orig -> origin/gh/anijain2305/827/orig 2025-08-14T21:03:59.1208997Z * [new branch] gh/anijain2305/828/base -> origin/gh/anijain2305/828/base 2025-08-14T21:03:59.1209974Z * [new branch] gh/anijain2305/828/head -> origin/gh/anijain2305/828/head 2025-08-14T21:03:59.1210929Z * [new branch] gh/anijain2305/828/orig -> origin/gh/anijain2305/828/orig 2025-08-14T21:03:59.1212342Z * [new branch] gh/anijain2305/829/base -> origin/gh/anijain2305/829/base 2025-08-14T21:03:59.1213380Z * [new branch] gh/anijain2305/829/head -> origin/gh/anijain2305/829/head 2025-08-14T21:03:59.1214508Z * [new branch] gh/anijain2305/829/orig -> origin/gh/anijain2305/829/orig 2025-08-14T21:03:59.1215861Z * [new branch] gh/anijain2305/830/base -> origin/gh/anijain2305/830/base 2025-08-14T21:03:59.1216808Z * [new branch] gh/anijain2305/830/head -> origin/gh/anijain2305/830/head 2025-08-14T21:03:59.1217780Z * [new branch] gh/anijain2305/830/orig -> origin/gh/anijain2305/830/orig 2025-08-14T21:03:59.1219126Z * [new branch] gh/anijain2305/831/base -> origin/gh/anijain2305/831/base 2025-08-14T21:03:59.1220168Z * [new branch] gh/anijain2305/831/head -> origin/gh/anijain2305/831/head 2025-08-14T21:03:59.1221138Z * [new branch] gh/anijain2305/831/orig -> origin/gh/anijain2305/831/orig 2025-08-14T21:03:59.1222506Z * [new branch] gh/anijain2305/832/base -> origin/gh/anijain2305/832/base 2025-08-14T21:03:59.1223465Z * [new branch] gh/anijain2305/832/head -> origin/gh/anijain2305/832/head 2025-08-14T21:03:59.1224455Z * [new branch] gh/anijain2305/832/orig -> origin/gh/anijain2305/832/orig 2025-08-14T21:03:59.1225865Z * [new branch] gh/anijain2305/833/base -> origin/gh/anijain2305/833/base 2025-08-14T21:03:59.1226918Z * [new branch] gh/anijain2305/833/head -> origin/gh/anijain2305/833/head 2025-08-14T21:03:59.1228015Z * [new branch] gh/anijain2305/833/orig -> origin/gh/anijain2305/833/orig 2025-08-14T21:03:59.1229371Z * [new branch] gh/anijain2305/834/base -> origin/gh/anijain2305/834/base 2025-08-14T21:03:59.1230192Z * [new branch] gh/anijain2305/834/head -> origin/gh/anijain2305/834/head 2025-08-14T21:03:59.1231274Z * [new branch] gh/anijain2305/834/orig -> origin/gh/anijain2305/834/orig 2025-08-14T21:03:59.1232699Z * [new branch] gh/anijain2305/835/base -> origin/gh/anijain2305/835/base 2025-08-14T21:03:59.1233643Z * [new branch] gh/anijain2305/835/head -> origin/gh/anijain2305/835/head 2025-08-14T21:03:59.1234617Z * [new branch] gh/anijain2305/835/orig -> origin/gh/anijain2305/835/orig 2025-08-14T21:03:59.1235945Z * [new branch] gh/anijain2305/836/base -> origin/gh/anijain2305/836/base 2025-08-14T21:03:59.1236944Z * [new branch] gh/anijain2305/836/head -> origin/gh/anijain2305/836/head 2025-08-14T21:03:59.1237942Z * [new branch] gh/anijain2305/836/orig -> origin/gh/anijain2305/836/orig 2025-08-14T21:03:59.1239307Z * [new branch] gh/anijain2305/837/base -> origin/gh/anijain2305/837/base 2025-08-14T21:03:59.1240349Z * [new branch] gh/anijain2305/837/head -> origin/gh/anijain2305/837/head 2025-08-14T21:03:59.1241418Z * [new branch] gh/anijain2305/837/orig -> origin/gh/anijain2305/837/orig 2025-08-14T21:03:59.1242669Z * [new branch] gh/anijain2305/838/base -> origin/gh/anijain2305/838/base 2025-08-14T21:03:59.1243679Z * [new branch] gh/anijain2305/838/head -> origin/gh/anijain2305/838/head 2025-08-14T21:03:59.1244620Z * [new branch] gh/anijain2305/838/orig -> origin/gh/anijain2305/838/orig 2025-08-14T21:03:59.1246171Z * [new branch] gh/anijain2305/839/base -> origin/gh/anijain2305/839/base 2025-08-14T21:03:59.1247139Z * [new branch] gh/anijain2305/839/head -> origin/gh/anijain2305/839/head 2025-08-14T21:03:59.1248210Z * [new branch] gh/anijain2305/839/orig -> origin/gh/anijain2305/839/orig 2025-08-14T21:03:59.1249547Z * [new branch] gh/anijain2305/840/base -> origin/gh/anijain2305/840/base 2025-08-14T21:03:59.1250496Z * [new branch] gh/anijain2305/840/head -> origin/gh/anijain2305/840/head 2025-08-14T21:03:59.1251483Z * [new branch] gh/anijain2305/840/orig -> origin/gh/anijain2305/840/orig 2025-08-14T21:03:59.1252877Z * [new branch] gh/anijain2305/841/base -> origin/gh/anijain2305/841/base 2025-08-14T21:03:59.1253855Z * [new branch] gh/anijain2305/841/head -> origin/gh/anijain2305/841/head 2025-08-14T21:03:59.1254913Z * [new branch] gh/anijain2305/841/orig -> origin/gh/anijain2305/841/orig 2025-08-14T21:03:59.1256223Z * [new branch] gh/anijain2305/842/base -> origin/gh/anijain2305/842/base 2025-08-14T21:03:59.1257215Z * [new branch] gh/anijain2305/842/head -> origin/gh/anijain2305/842/head 2025-08-14T21:03:59.1258184Z * [new branch] gh/anijain2305/842/orig -> origin/gh/anijain2305/842/orig 2025-08-14T21:03:59.1259561Z * [new branch] gh/anijain2305/843/base -> origin/gh/anijain2305/843/base 2025-08-14T21:03:59.1260512Z * [new branch] gh/anijain2305/843/head -> origin/gh/anijain2305/843/head 2025-08-14T21:03:59.1263740Z * [new branch] gh/anijain2305/843/orig -> origin/gh/anijain2305/843/orig 2025-08-14T21:03:59.1264678Z * [new branch] gh/anijain2305/844/base -> origin/gh/anijain2305/844/base 2025-08-14T21:03:59.1264919Z * [new branch] gh/anijain2305/844/head -> origin/gh/anijain2305/844/head 2025-08-14T21:03:59.1265152Z * [new branch] gh/anijain2305/844/orig -> origin/gh/anijain2305/844/orig 2025-08-14T21:03:59.1266354Z * [new branch] gh/anijain2305/845/base -> origin/gh/anijain2305/845/base 2025-08-14T21:03:59.1267340Z * [new branch] gh/anijain2305/845/head -> origin/gh/anijain2305/845/head 2025-08-14T21:03:59.1268478Z * [new branch] gh/anijain2305/845/orig -> origin/gh/anijain2305/845/orig 2025-08-14T21:03:59.1269800Z * [new branch] gh/anijain2305/846/base -> origin/gh/anijain2305/846/base 2025-08-14T21:03:59.1270745Z * [new branch] gh/anijain2305/846/head -> origin/gh/anijain2305/846/head 2025-08-14T21:03:59.1271742Z * [new branch] gh/anijain2305/846/orig -> origin/gh/anijain2305/846/orig 2025-08-14T21:03:59.1273126Z * [new branch] gh/anijain2305/847/base -> origin/gh/anijain2305/847/base 2025-08-14T21:03:59.1274155Z * [new branch] gh/anijain2305/847/head -> origin/gh/anijain2305/847/head 2025-08-14T21:03:59.1275152Z * [new branch] gh/anijain2305/847/orig -> origin/gh/anijain2305/847/orig 2025-08-14T21:03:59.1276768Z * [new branch] gh/anijain2305/848/base -> origin/gh/anijain2305/848/base 2025-08-14T21:03:59.1277827Z * [new branch] gh/anijain2305/848/head -> origin/gh/anijain2305/848/head 2025-08-14T21:03:59.1278811Z * [new branch] gh/anijain2305/848/orig -> origin/gh/anijain2305/848/orig 2025-08-14T21:03:59.1280560Z * [new branch] gh/anjali411/216/base -> origin/gh/anjali411/216/base 2025-08-14T21:03:59.1281625Z * [new branch] gh/anjali411/216/head -> origin/gh/anjali411/216/head 2025-08-14T21:03:59.1282606Z * [new branch] gh/anjali411/216/orig -> origin/gh/anjali411/216/orig 2025-08-14T21:03:59.1284377Z * [new branch] gh/ankitageorge/10/base -> origin/gh/ankitageorge/10/base 2025-08-14T21:03:59.1285651Z * [new branch] gh/ankitageorge/10/head -> origin/gh/ankitageorge/10/head 2025-08-14T21:03:59.1286485Z * [new branch] gh/ankitageorge/10/orig -> origin/gh/ankitageorge/10/orig 2025-08-14T21:03:59.1287776Z * [new branch] gh/ankitageorge/12/base -> origin/gh/ankitageorge/12/base 2025-08-14T21:03:59.1288824Z * [new branch] gh/ankitageorge/12/head -> origin/gh/ankitageorge/12/head 2025-08-14T21:03:59.1289870Z * [new branch] gh/ankitageorge/12/orig -> origin/gh/ankitageorge/12/orig 2025-08-14T21:03:59.1291263Z * [new branch] gh/ankitageorge/13/base -> origin/gh/ankitageorge/13/base 2025-08-14T21:03:59.1292184Z * [new branch] gh/ankitageorge/13/head -> origin/gh/ankitageorge/13/head 2025-08-14T21:03:59.1293308Z * [new branch] gh/ankitageorge/13/orig -> origin/gh/ankitageorge/13/orig 2025-08-14T21:03:59.1294811Z * [new branch] gh/ankitageorge/14/base -> origin/gh/ankitageorge/14/base 2025-08-14T21:03:59.1295742Z * [new branch] gh/ankitageorge/14/head -> origin/gh/ankitageorge/14/head 2025-08-14T21:03:59.1296931Z * [new branch] gh/ankitageorge/14/orig -> origin/gh/ankitageorge/14/orig 2025-08-14T21:03:59.1298314Z * [new branch] gh/ankitageorge/15/base -> origin/gh/ankitageorge/15/base 2025-08-14T21:03:59.1299363Z * [new branch] gh/ankitageorge/15/head -> origin/gh/ankitageorge/15/head 2025-08-14T21:03:59.1300408Z * [new branch] gh/ankitageorge/15/orig -> origin/gh/ankitageorge/15/orig 2025-08-14T21:03:59.1301859Z * [new branch] gh/ankitageorge/16/base -> origin/gh/ankitageorge/16/base 2025-08-14T21:03:59.1302878Z * [new branch] gh/ankitageorge/16/head -> origin/gh/ankitageorge/16/head 2025-08-14T21:03:59.1303975Z * [new branch] gh/ankitageorge/16/orig -> origin/gh/ankitageorge/16/orig 2025-08-14T21:03:59.1305433Z * [new branch] gh/ankitageorge/17/base -> origin/gh/ankitageorge/17/base 2025-08-14T21:03:59.1306513Z * [new branch] gh/ankitageorge/17/head -> origin/gh/ankitageorge/17/head 2025-08-14T21:03:59.1307532Z * [new branch] gh/ankitageorge/17/orig -> origin/gh/ankitageorge/17/orig 2025-08-14T21:03:59.1309225Z * [new branch] gh/ankitageorge/18/base -> origin/gh/ankitageorge/18/base 2025-08-14T21:03:59.1310228Z * [new branch] gh/ankitageorge/18/head -> origin/gh/ankitageorge/18/head 2025-08-14T21:03:59.1311277Z * [new branch] gh/ankitageorge/18/orig -> origin/gh/ankitageorge/18/orig 2025-08-14T21:03:59.1312692Z * [new branch] gh/ankitageorge/19/base -> origin/gh/ankitageorge/19/base 2025-08-14T21:03:59.1313796Z * [new branch] gh/ankitageorge/19/head -> origin/gh/ankitageorge/19/head 2025-08-14T21:03:59.1314796Z * [new branch] gh/ankitageorge/19/orig -> origin/gh/ankitageorge/19/orig 2025-08-14T21:03:59.1316220Z * [new branch] gh/ankitageorge/20/base -> origin/gh/ankitageorge/20/base 2025-08-14T21:03:59.1317313Z * [new branch] gh/ankitageorge/20/head -> origin/gh/ankitageorge/20/head 2025-08-14T21:03:59.1318313Z * [new branch] gh/ankitageorge/20/orig -> origin/gh/ankitageorge/20/orig 2025-08-14T21:03:59.1319737Z * [new branch] gh/ankitageorge/21/base -> origin/gh/ankitageorge/21/base 2025-08-14T21:03:59.1320844Z * [new branch] gh/ankitageorge/21/head -> origin/gh/ankitageorge/21/head 2025-08-14T21:03:59.1321845Z * [new branch] gh/ankitageorge/21/orig -> origin/gh/ankitageorge/21/orig 2025-08-14T21:03:59.1323748Z * [new branch] gh/anshul-si/1/base -> origin/gh/anshul-si/1/base 2025-08-14T21:03:59.1324779Z * [new branch] gh/anshul-si/1/head -> origin/gh/anshul-si/1/head 2025-08-14T21:03:59.1326493Z * [new branch] gh/anshul-si/10/base -> origin/gh/anshul-si/10/base 2025-08-14T21:03:59.1327309Z * [new branch] gh/anshul-si/10/head -> origin/gh/anshul-si/10/head 2025-08-14T21:03:59.1328395Z * [new branch] gh/anshul-si/10/orig -> origin/gh/anshul-si/10/orig 2025-08-14T21:03:59.1329929Z * [new branch] gh/anshul-si/11/base -> origin/gh/anshul-si/11/base 2025-08-14T21:03:59.1330909Z * [new branch] gh/anshul-si/11/head -> origin/gh/anshul-si/11/head 2025-08-14T21:03:59.1331930Z * [new branch] gh/anshul-si/11/orig -> origin/gh/anshul-si/11/orig 2025-08-14T21:03:59.1333231Z * [new branch] gh/anshul-si/12/base -> origin/gh/anshul-si/12/base 2025-08-14T21:03:59.1334294Z * [new branch] gh/anshul-si/12/head -> origin/gh/anshul-si/12/head 2025-08-14T21:03:59.1335239Z * [new branch] gh/anshul-si/12/orig -> origin/gh/anshul-si/12/orig 2025-08-14T21:03:59.1336787Z * [new branch] gh/anshul-si/13/base -> origin/gh/anshul-si/13/base 2025-08-14T21:03:59.1337794Z * [new branch] gh/anshul-si/13/head -> origin/gh/anshul-si/13/head 2025-08-14T21:03:59.1338800Z * [new branch] gh/anshul-si/13/orig -> origin/gh/anshul-si/13/orig 2025-08-14T21:03:59.1340155Z * [new branch] gh/anshul-si/14/base -> origin/gh/anshul-si/14/base 2025-08-14T21:03:59.1341122Z * [new branch] gh/anshul-si/14/head -> origin/gh/anshul-si/14/head 2025-08-14T21:03:59.1342119Z * [new branch] gh/anshul-si/14/orig -> origin/gh/anshul-si/14/orig 2025-08-14T21:03:59.1343332Z * [new branch] gh/anshul-si/15/base -> origin/gh/anshul-si/15/base 2025-08-14T21:03:59.1344319Z * [new branch] gh/anshul-si/15/head -> origin/gh/anshul-si/15/head 2025-08-14T21:03:59.1345845Z * [new branch] gh/anshul-si/15/orig -> origin/gh/anshul-si/15/orig 2025-08-14T21:03:59.1347402Z * [new branch] gh/anshul-si/16/base -> origin/gh/anshul-si/16/base 2025-08-14T21:03:59.1348408Z * [new branch] gh/anshul-si/16/head -> origin/gh/anshul-si/16/head 2025-08-14T21:03:59.1349477Z * [new branch] gh/anshul-si/16/orig -> origin/gh/anshul-si/16/orig 2025-08-14T21:03:59.1351189Z * [new branch] gh/anshul-si/17/base -> origin/gh/anshul-si/17/base 2025-08-14T21:03:59.1351856Z * [new branch] gh/anshul-si/17/head -> origin/gh/anshul-si/17/head 2025-08-14T21:03:59.1352922Z * [new branch] gh/anshul-si/17/orig -> origin/gh/anshul-si/17/orig 2025-08-14T21:03:59.1354408Z * [new branch] gh/anshul-si/18/base -> origin/gh/anshul-si/18/base 2025-08-14T21:03:59.1355459Z * [new branch] gh/anshul-si/18/head -> origin/gh/anshul-si/18/head 2025-08-14T21:03:59.1356447Z * [new branch] gh/anshul-si/18/orig -> origin/gh/anshul-si/18/orig 2025-08-14T21:03:59.1357935Z * [new branch] gh/anshul-si/19/base -> origin/gh/anshul-si/19/base 2025-08-14T21:03:59.1359059Z * [new branch] gh/anshul-si/19/head -> origin/gh/anshul-si/19/head 2025-08-14T21:03:59.1360049Z * [new branch] gh/anshul-si/19/orig -> origin/gh/anshul-si/19/orig 2025-08-14T21:03:59.1361289Z * [new branch] gh/anshul-si/2/base -> origin/gh/anshul-si/2/base 2025-08-14T21:03:59.1362226Z * [new branch] gh/anshul-si/2/head -> origin/gh/anshul-si/2/head 2025-08-14T21:03:59.1363529Z * [new branch] gh/anshul-si/20/base -> origin/gh/anshul-si/20/base 2025-08-14T21:03:59.1364633Z * [new branch] gh/anshul-si/20/head -> origin/gh/anshul-si/20/head 2025-08-14T21:03:59.1365570Z * [new branch] gh/anshul-si/20/orig -> origin/gh/anshul-si/20/orig 2025-08-14T21:03:59.1366869Z * [new branch] gh/anshul-si/21/base -> origin/gh/anshul-si/21/base 2025-08-14T21:03:59.1367811Z * [new branch] gh/anshul-si/21/head -> origin/gh/anshul-si/21/head 2025-08-14T21:03:59.1368843Z * [new branch] gh/anshul-si/21/orig -> origin/gh/anshul-si/21/orig 2025-08-14T21:03:59.1370162Z * [new branch] gh/anshul-si/22/base -> origin/gh/anshul-si/22/base 2025-08-14T21:03:59.1371195Z * [new branch] gh/anshul-si/22/head -> origin/gh/anshul-si/22/head 2025-08-14T21:03:59.1372194Z * [new branch] gh/anshul-si/22/orig -> origin/gh/anshul-si/22/orig 2025-08-14T21:03:59.1373478Z * [new branch] gh/anshul-si/23/base -> origin/gh/anshul-si/23/base 2025-08-14T21:03:59.1374457Z * [new branch] gh/anshul-si/23/head -> origin/gh/anshul-si/23/head 2025-08-14T21:03:59.1375508Z * [new branch] gh/anshul-si/23/orig -> origin/gh/anshul-si/23/orig 2025-08-14T21:03:59.1377056Z * [new branch] gh/anshul-si/24/base -> origin/gh/anshul-si/24/base 2025-08-14T21:03:59.1378261Z * [new branch] gh/anshul-si/24/head -> origin/gh/anshul-si/24/head 2025-08-14T21:03:59.1379245Z * [new branch] gh/anshul-si/24/orig -> origin/gh/anshul-si/24/orig 2025-08-14T21:03:59.1380739Z * [new branch] gh/anshul-si/25/base -> origin/gh/anshul-si/25/base 2025-08-14T21:03:59.1381711Z * [new branch] gh/anshul-si/25/head -> origin/gh/anshul-si/25/head 2025-08-14T21:03:59.1382746Z * [new branch] gh/anshul-si/25/orig -> origin/gh/anshul-si/25/orig 2025-08-14T21:03:59.1384365Z * [new branch] gh/anshul-si/26/base -> origin/gh/anshul-si/26/base 2025-08-14T21:03:59.1385375Z * [new branch] gh/anshul-si/26/head -> origin/gh/anshul-si/26/head 2025-08-14T21:03:59.1386514Z * [new branch] gh/anshul-si/26/orig -> origin/gh/anshul-si/26/orig 2025-08-14T21:03:59.1387722Z * [new branch] gh/anshul-si/27/base -> origin/gh/anshul-si/27/base 2025-08-14T21:03:59.1388715Z * [new branch] gh/anshul-si/27/head -> origin/gh/anshul-si/27/head 2025-08-14T21:03:59.1389693Z * [new branch] gh/anshul-si/27/orig -> origin/gh/anshul-si/27/orig 2025-08-14T21:03:59.1391097Z * [new branch] gh/anshul-si/3/base -> origin/gh/anshul-si/3/base 2025-08-14T21:03:59.1392035Z * [new branch] gh/anshul-si/3/head -> origin/gh/anshul-si/3/head 2025-08-14T21:03:59.1393268Z * [new branch] gh/anshul-si/4/base -> origin/gh/anshul-si/4/base 2025-08-14T21:03:59.1394163Z * [new branch] gh/anshul-si/4/head -> origin/gh/anshul-si/4/head 2025-08-14T21:03:59.1395389Z * [new branch] gh/anshul-si/5/base -> origin/gh/anshul-si/5/base 2025-08-14T21:03:59.1396375Z * [new branch] gh/anshul-si/5/head -> origin/gh/anshul-si/5/head 2025-08-14T21:03:59.1398091Z * [new branch] gh/anshul-si/6/base -> origin/gh/anshul-si/6/base 2025-08-14T21:03:59.1399084Z * [new branch] gh/anshul-si/6/head -> origin/gh/anshul-si/6/head 2025-08-14T21:03:59.1400086Z * [new branch] gh/anshul-si/6/orig -> origin/gh/anshul-si/6/orig 2025-08-14T21:03:59.1401469Z * [new branch] gh/anshul-si/7/base -> origin/gh/anshul-si/7/base 2025-08-14T21:03:59.1402637Z * [new branch] gh/anshul-si/7/head -> origin/gh/anshul-si/7/head 2025-08-14T21:03:59.1403682Z * [new branch] gh/anshul-si/7/orig -> origin/gh/anshul-si/7/orig 2025-08-14T21:03:59.1405128Z * [new branch] gh/anshul-si/8/base -> origin/gh/anshul-si/8/base 2025-08-14T21:03:59.1406187Z * [new branch] gh/anshul-si/8/head -> origin/gh/anshul-si/8/head 2025-08-14T21:03:59.1407196Z * [new branch] gh/anshul-si/8/orig -> origin/gh/anshul-si/8/orig 2025-08-14T21:03:59.1408588Z * [new branch] gh/anshul-si/9/base -> origin/gh/anshul-si/9/base 2025-08-14T21:03:59.1409711Z * [new branch] gh/anshul-si/9/head -> origin/gh/anshul-si/9/head 2025-08-14T21:03:59.1410731Z * [new branch] gh/anshul-si/9/orig -> origin/gh/anshul-si/9/orig 2025-08-14T21:03:59.1412521Z * [new branch] gh/aorenste/132/base -> origin/gh/aorenste/132/base 2025-08-14T21:03:59.1413516Z * [new branch] gh/aorenste/132/head -> origin/gh/aorenste/132/head 2025-08-14T21:03:59.1415399Z * [new branch] gh/aorenste/235/base -> origin/gh/aorenste/235/base 2025-08-14T21:03:59.1416496Z * [new branch] gh/aorenste/235/head -> origin/gh/aorenste/235/head 2025-08-14T21:03:59.1417724Z * [new branch] gh/aorenste/235/orig -> origin/gh/aorenste/235/orig 2025-08-14T21:03:59.1419441Z * [new branch] gh/aorenste/236/base -> origin/gh/aorenste/236/base 2025-08-14T21:03:59.1420466Z * [new branch] gh/aorenste/236/head -> origin/gh/aorenste/236/head 2025-08-14T21:03:59.1421558Z * [new branch] gh/aorenste/236/orig -> origin/gh/aorenste/236/orig 2025-08-14T21:03:59.1422925Z * [new branch] gh/aorenste/237/base -> origin/gh/aorenste/237/base 2025-08-14T21:03:59.1423930Z * [new branch] gh/aorenste/237/head -> origin/gh/aorenste/237/head 2025-08-14T21:03:59.1424953Z * [new branch] gh/aorenste/237/orig -> origin/gh/aorenste/237/orig 2025-08-14T21:03:59.1426533Z * [new branch] gh/aorenste/238/base -> origin/gh/aorenste/238/base 2025-08-14T21:03:59.1427502Z * [new branch] gh/aorenste/238/head -> origin/gh/aorenste/238/head 2025-08-14T21:03:59.1428508Z * [new branch] gh/aorenste/238/orig -> origin/gh/aorenste/238/orig 2025-08-14T21:03:59.1430189Z * [new branch] gh/bdhirsh/650/base -> origin/gh/bdhirsh/650/base 2025-08-14T21:03:59.1431432Z * [new branch] gh/bdhirsh/650/head -> origin/gh/bdhirsh/650/head 2025-08-14T21:03:59.1432418Z * [new branch] gh/bdhirsh/650/orig -> origin/gh/bdhirsh/650/orig 2025-08-14T21:03:59.1433998Z * [new branch] gh/bdhirsh/656/base -> origin/gh/bdhirsh/656/base 2025-08-14T21:03:59.1434973Z * [new branch] gh/bdhirsh/656/head -> origin/gh/bdhirsh/656/head 2025-08-14T21:03:59.1436229Z * [new branch] gh/bdhirsh/657/base -> origin/gh/bdhirsh/657/base 2025-08-14T21:03:59.1437129Z * [new branch] gh/bdhirsh/657/head -> origin/gh/bdhirsh/657/head 2025-08-14T21:03:59.1438331Z * [new branch] gh/bdhirsh/659/base -> origin/gh/bdhirsh/659/base 2025-08-14T21:03:59.1439334Z * [new branch] gh/bdhirsh/659/head -> origin/gh/bdhirsh/659/head 2025-08-14T21:03:59.1440326Z * [new branch] gh/bdhirsh/659/orig -> origin/gh/bdhirsh/659/orig 2025-08-14T21:03:59.1441600Z * [new branch] gh/bdhirsh/663/base -> origin/gh/bdhirsh/663/base 2025-08-14T21:03:59.1442581Z * [new branch] gh/bdhirsh/663/head -> origin/gh/bdhirsh/663/head 2025-08-14T21:03:59.1443575Z * [new branch] gh/bdhirsh/663/orig -> origin/gh/bdhirsh/663/orig 2025-08-14T21:03:59.1445003Z * [new branch] gh/bdhirsh/665/base -> origin/gh/bdhirsh/665/base 2025-08-14T21:03:59.1446083Z * [new branch] gh/bdhirsh/665/head -> origin/gh/bdhirsh/665/head 2025-08-14T21:03:59.1447079Z * [new branch] gh/bdhirsh/665/orig -> origin/gh/bdhirsh/665/orig 2025-08-14T21:03:59.1448421Z * [new branch] gh/bdhirsh/666/base -> origin/gh/bdhirsh/666/base 2025-08-14T21:03:59.1449505Z * [new branch] gh/bdhirsh/666/head -> origin/gh/bdhirsh/666/head 2025-08-14T21:03:59.1450477Z * [new branch] gh/bdhirsh/666/orig -> origin/gh/bdhirsh/666/orig 2025-08-14T21:03:59.1452082Z * [new branch] gh/benjaminglass1/79/base -> origin/gh/benjaminglass1/79/base 2025-08-14T21:03:59.1453081Z * [new branch] gh/benjaminglass1/79/head -> origin/gh/benjaminglass1/79/head 2025-08-14T21:03:59.1454062Z * [new branch] gh/benjaminglass1/79/orig -> origin/gh/benjaminglass1/79/orig 2025-08-14T21:03:59.1455364Z * [new branch] gh/benjaminglass1/86/base -> origin/gh/benjaminglass1/86/base 2025-08-14T21:03:59.1456331Z * [new branch] gh/benjaminglass1/86/head -> origin/gh/benjaminglass1/86/head 2025-08-14T21:03:59.1457389Z * [new branch] gh/benjaminglass1/86/orig -> origin/gh/benjaminglass1/86/orig 2025-08-14T21:03:59.1458820Z * [new branch] gh/benjaminglass1/89/base -> origin/gh/benjaminglass1/89/base 2025-08-14T21:03:59.1459783Z * [new branch] gh/benjaminglass1/89/head -> origin/gh/benjaminglass1/89/head 2025-08-14T21:03:59.1460791Z * [new branch] gh/benjaminglass1/89/orig -> origin/gh/benjaminglass1/89/orig 2025-08-14T21:03:59.1462047Z * [new branch] gh/benjaminglass1/91/base -> origin/gh/benjaminglass1/91/base 2025-08-14T21:03:59.1463046Z * [new branch] gh/benjaminglass1/91/head -> origin/gh/benjaminglass1/91/head 2025-08-14T21:03:59.1464013Z * [new branch] gh/benjaminglass1/91/orig -> origin/gh/benjaminglass1/91/orig 2025-08-14T21:03:59.1465376Z * [new branch] gh/benjaminglass1/93/base -> origin/gh/benjaminglass1/93/base 2025-08-14T21:03:59.1466528Z * [new branch] gh/benjaminglass1/93/head -> origin/gh/benjaminglass1/93/head 2025-08-14T21:03:59.1467562Z * [new branch] gh/benjaminglass1/93/orig -> origin/gh/benjaminglass1/93/orig 2025-08-14T21:03:59.1468947Z * [new branch] gh/benjaminglass1/94/base -> origin/gh/benjaminglass1/94/base 2025-08-14T21:03:59.1469921Z * [new branch] gh/benjaminglass1/94/head -> origin/gh/benjaminglass1/94/head 2025-08-14T21:03:59.1470982Z * [new branch] gh/benjaminglass1/94/orig -> origin/gh/benjaminglass1/94/orig 2025-08-14T21:03:59.1472448Z * [new branch] gh/benjaminglass1/95/base -> origin/gh/benjaminglass1/95/base 2025-08-14T21:03:59.1473437Z * [new branch] gh/benjaminglass1/95/head -> origin/gh/benjaminglass1/95/head 2025-08-14T21:03:59.1474262Z * [new branch] gh/benjaminglass1/95/orig -> origin/gh/benjaminglass1/95/orig 2025-08-14T21:03:59.1476253Z * [new branch] gh/benjaminglass1/96/base -> origin/gh/benjaminglass1/96/base 2025-08-14T21:03:59.1477317Z * [new branch] gh/benjaminglass1/96/head -> origin/gh/benjaminglass1/96/head 2025-08-14T21:03:59.1478337Z * [new branch] gh/benjaminglass1/96/orig -> origin/gh/benjaminglass1/96/orig 2025-08-14T21:03:59.1479713Z * [new branch] gh/benjaminglass1/97/base -> origin/gh/benjaminglass1/97/base 2025-08-14T21:03:59.1480672Z * [new branch] gh/benjaminglass1/97/head -> origin/gh/benjaminglass1/97/head 2025-08-14T21:03:59.1481688Z * [new branch] gh/benjaminglass1/97/orig -> origin/gh/benjaminglass1/97/orig 2025-08-14T21:03:59.1483065Z * [new branch] gh/benjaminglass1/98/base -> origin/gh/benjaminglass1/98/base 2025-08-14T21:03:59.1484027Z * [new branch] gh/benjaminglass1/98/head -> origin/gh/benjaminglass1/98/head 2025-08-14T21:03:59.1485060Z * [new branch] gh/benjaminglass1/98/orig -> origin/gh/benjaminglass1/98/orig 2025-08-14T21:03:59.1486698Z * [new branch] gh/bobrenjc93/478/base -> origin/gh/bobrenjc93/478/base 2025-08-14T21:03:59.1487682Z * [new branch] gh/bobrenjc93/478/head -> origin/gh/bobrenjc93/478/head 2025-08-14T21:03:59.1488675Z * [new branch] gh/bobrenjc93/478/orig -> origin/gh/bobrenjc93/478/orig 2025-08-14T21:03:59.1489978Z * [new branch] gh/bobrenjc93/514/base -> origin/gh/bobrenjc93/514/base 2025-08-14T21:03:59.1491011Z * [new branch] gh/bobrenjc93/514/head -> origin/gh/bobrenjc93/514/head 2025-08-14T21:03:59.1491998Z * [new branch] gh/bobrenjc93/514/orig -> origin/gh/bobrenjc93/514/orig 2025-08-14T21:03:59.1493318Z * [new branch] gh/bobrenjc93/521/base -> origin/gh/bobrenjc93/521/base 2025-08-14T21:03:59.1494263Z * [new branch] gh/bobrenjc93/521/head -> origin/gh/bobrenjc93/521/head 2025-08-14T21:03:59.1495307Z * [new branch] gh/bobrenjc93/521/orig -> origin/gh/bobrenjc93/521/orig 2025-08-14T21:03:59.1496587Z * [new branch] gh/bobrenjc93/522/base -> origin/gh/bobrenjc93/522/base 2025-08-14T21:03:59.1497976Z * [new branch] gh/bobrenjc93/522/head -> origin/gh/bobrenjc93/522/head 2025-08-14T21:03:59.1498996Z * [new branch] gh/bobrenjc93/522/orig -> origin/gh/bobrenjc93/522/orig 2025-08-14T21:03:59.1500401Z * [new branch] gh/bobrenjc93/525/base -> origin/gh/bobrenjc93/525/base 2025-08-14T21:03:59.1501410Z * [new branch] gh/bobrenjc93/525/head -> origin/gh/bobrenjc93/525/head 2025-08-14T21:03:59.1502444Z * [new branch] gh/bobrenjc93/525/orig -> origin/gh/bobrenjc93/525/orig 2025-08-14T21:03:59.1503764Z * [new branch] gh/bobrenjc93/526/base -> origin/gh/bobrenjc93/526/base 2025-08-14T21:03:59.1504717Z * [new branch] gh/bobrenjc93/526/head -> origin/gh/bobrenjc93/526/head 2025-08-14T21:03:59.1505749Z * [new branch] gh/bobrenjc93/526/orig -> origin/gh/bobrenjc93/526/orig 2025-08-14T21:03:59.1507207Z * [new branch] gh/bobrenjc93/527/base -> origin/gh/bobrenjc93/527/base 2025-08-14T21:03:59.1508186Z * [new branch] gh/bobrenjc93/527/head -> origin/gh/bobrenjc93/527/head 2025-08-14T21:03:59.1509183Z * [new branch] gh/bobrenjc93/527/orig -> origin/gh/bobrenjc93/527/orig 2025-08-14T21:03:59.1510460Z * [new branch] gh/bobrenjc93/528/base -> origin/gh/bobrenjc93/528/base 2025-08-14T21:03:59.1511536Z * [new branch] gh/bobrenjc93/528/head -> origin/gh/bobrenjc93/528/head 2025-08-14T21:03:59.1512347Z * [new branch] gh/bobrenjc93/528/orig -> origin/gh/bobrenjc93/528/orig 2025-08-14T21:03:59.1513816Z * [new branch] gh/bobrenjc93/529/base -> origin/gh/bobrenjc93/529/base 2025-08-14T21:03:59.1514808Z * [new branch] gh/bobrenjc93/529/head -> origin/gh/bobrenjc93/529/head 2025-08-14T21:03:59.1515772Z * [new branch] gh/bobrenjc93/529/orig -> origin/gh/bobrenjc93/529/orig 2025-08-14T21:03:59.1517089Z * [new branch] gh/bobrenjc93/534/base -> origin/gh/bobrenjc93/534/base 2025-08-14T21:03:59.1518029Z * [new branch] gh/bobrenjc93/534/head -> origin/gh/bobrenjc93/534/head 2025-08-14T21:03:59.1519020Z * [new branch] gh/bobrenjc93/534/orig -> origin/gh/bobrenjc93/534/orig 2025-08-14T21:03:59.1520299Z * [new branch] gh/bobrenjc93/535/base -> origin/gh/bobrenjc93/535/base 2025-08-14T21:03:59.1521264Z * [new branch] gh/bobrenjc93/535/head -> origin/gh/bobrenjc93/535/head 2025-08-14T21:03:59.1522283Z * [new branch] gh/bobrenjc93/535/orig -> origin/gh/bobrenjc93/535/orig 2025-08-14T21:03:59.1523613Z * [new branch] gh/bobrenjc93/536/base -> origin/gh/bobrenjc93/536/base 2025-08-14T21:03:59.1524660Z * [new branch] gh/bobrenjc93/536/head -> origin/gh/bobrenjc93/536/head 2025-08-14T21:03:59.1525665Z * [new branch] gh/bobrenjc93/536/orig -> origin/gh/bobrenjc93/536/orig 2025-08-14T21:03:59.1527174Z * [new branch] gh/bobrenjc93/537/base -> origin/gh/bobrenjc93/537/base 2025-08-14T21:03:59.1528211Z * [new branch] gh/bobrenjc93/537/head -> origin/gh/bobrenjc93/537/head 2025-08-14T21:03:59.1529197Z * [new branch] gh/bobrenjc93/537/orig -> origin/gh/bobrenjc93/537/orig 2025-08-14T21:03:59.1530435Z * [new branch] gh/bobrenjc93/538/base -> origin/gh/bobrenjc93/538/base 2025-08-14T21:03:59.1531411Z * [new branch] gh/bobrenjc93/538/head -> origin/gh/bobrenjc93/538/head 2025-08-14T21:03:59.1532395Z * [new branch] gh/bobrenjc93/538/orig -> origin/gh/bobrenjc93/538/orig 2025-08-14T21:03:59.1533957Z * [new branch] gh/bobrenjc93/539/base -> origin/gh/bobrenjc93/539/base 2025-08-14T21:03:59.1535709Z * [new branch] gh/bobrenjc93/539/head -> origin/gh/bobrenjc93/539/head 2025-08-14T21:03:59.1536153Z * [new branch] gh/bobrenjc93/539/orig -> origin/gh/bobrenjc93/539/orig 2025-08-14T21:03:59.1537612Z * [new branch] gh/bobrenjc93/540/base -> origin/gh/bobrenjc93/540/base 2025-08-14T21:03:59.1538634Z * [new branch] gh/bobrenjc93/540/head -> origin/gh/bobrenjc93/540/head 2025-08-14T21:03:59.1539638Z * [new branch] gh/bobrenjc93/540/orig -> origin/gh/bobrenjc93/540/orig 2025-08-14T21:03:59.1541614Z * [new branch] gh/bobrenjc93/541/base -> origin/gh/bobrenjc93/541/base 2025-08-14T21:03:59.1542570Z * [new branch] gh/bobrenjc93/541/head -> origin/gh/bobrenjc93/541/head 2025-08-14T21:03:59.1543577Z * [new branch] gh/bobrenjc93/541/orig -> origin/gh/bobrenjc93/541/orig 2025-08-14T21:03:59.1544832Z * [new branch] gh/bobrenjc93/542/base -> origin/gh/bobrenjc93/542/base 2025-08-14T21:03:59.1545868Z * [new branch] gh/bobrenjc93/542/head -> origin/gh/bobrenjc93/542/head 2025-08-14T21:03:59.1546950Z * [new branch] gh/bobrenjc93/542/orig -> origin/gh/bobrenjc93/542/orig 2025-08-14T21:03:59.1548280Z * [new branch] gh/bobrenjc93/543/base -> origin/gh/bobrenjc93/543/base 2025-08-14T21:03:59.1549265Z * [new branch] gh/bobrenjc93/543/head -> origin/gh/bobrenjc93/543/head 2025-08-14T21:03:59.1550259Z * [new branch] gh/bobrenjc93/543/orig -> origin/gh/bobrenjc93/543/orig 2025-08-14T21:03:59.1551594Z * [new branch] gh/bobrenjc93/544/base -> origin/gh/bobrenjc93/544/base 2025-08-14T21:03:59.1552563Z * [new branch] gh/bobrenjc93/544/head -> origin/gh/bobrenjc93/544/head 2025-08-14T21:03:59.1553549Z * [new branch] gh/bobrenjc93/544/orig -> origin/gh/bobrenjc93/544/orig 2025-08-14T21:03:59.1554889Z * [new branch] gh/bobrenjc93/545/base -> origin/gh/bobrenjc93/545/base 2025-08-14T21:03:59.1555976Z * [new branch] gh/bobrenjc93/545/head -> origin/gh/bobrenjc93/545/head 2025-08-14T21:03:59.1557025Z * [new branch] gh/bobrenjc93/545/orig -> origin/gh/bobrenjc93/545/orig 2025-08-14T21:03:59.1558476Z * [new branch] gh/bobrenjc93/546/base -> origin/gh/bobrenjc93/546/base 2025-08-14T21:03:59.1559485Z * [new branch] gh/bobrenjc93/546/head -> origin/gh/bobrenjc93/546/head 2025-08-14T21:03:59.1560494Z * [new branch] gh/bobrenjc93/546/orig -> origin/gh/bobrenjc93/546/orig 2025-08-14T21:03:59.1562432Z * [new branch] gh/bobrenjc93/547/base -> origin/gh/bobrenjc93/547/base 2025-08-14T21:03:59.1563472Z * [new branch] gh/bobrenjc93/547/head -> origin/gh/bobrenjc93/547/head 2025-08-14T21:03:59.1564500Z * [new branch] gh/bobrenjc93/547/orig -> origin/gh/bobrenjc93/547/orig 2025-08-14T21:03:59.1565739Z * [new branch] gh/bobrenjc93/548/base -> origin/gh/bobrenjc93/548/base 2025-08-14T21:03:59.1566630Z * [new branch] gh/bobrenjc93/548/head -> origin/gh/bobrenjc93/548/head 2025-08-14T21:03:59.1567688Z * [new branch] gh/bobrenjc93/548/orig -> origin/gh/bobrenjc93/548/orig 2025-08-14T21:03:59.1569017Z * [new branch] gh/bobrenjc93/549/base -> origin/gh/bobrenjc93/549/base 2025-08-14T21:03:59.1570148Z * [new branch] gh/bobrenjc93/549/head -> origin/gh/bobrenjc93/549/head 2025-08-14T21:03:59.1571237Z * [new branch] gh/bobrenjc93/549/orig -> origin/gh/bobrenjc93/549/orig 2025-08-14T21:03:59.1573103Z * [new branch] gh/briancoutinho/2/base -> origin/gh/briancoutinho/2/base 2025-08-14T21:03:59.1573813Z * [new branch] gh/briancoutinho/2/head -> origin/gh/briancoutinho/2/head 2025-08-14T21:03:59.1575472Z * [new branch] gh/c00w/23/base -> origin/gh/c00w/23/base 2025-08-14T21:03:59.1576690Z * [new branch] gh/c00w/23/head -> origin/gh/c00w/23/head 2025-08-14T21:03:59.1581592Z * [new branch] gh/c00w/38/base -> origin/gh/c00w/38/base 2025-08-14T21:03:59.1582277Z * [new branch] gh/c00w/38/head -> origin/gh/c00w/38/head 2025-08-14T21:03:59.1583372Z * [new branch] gh/c00w/38/orig -> origin/gh/c00w/38/orig 2025-08-14T21:03:59.1584823Z * [new branch] gh/c00w/48/base -> origin/gh/c00w/48/base 2025-08-14T21:03:59.1585957Z * [new branch] gh/c00w/48/head -> origin/gh/c00w/48/head 2025-08-14T21:03:59.1587007Z * [new branch] gh/c00w/48/orig -> origin/gh/c00w/48/orig 2025-08-14T21:03:59.1588510Z * [new branch] gh/c00w/50/base -> origin/gh/c00w/50/base 2025-08-14T21:03:59.1589618Z * [new branch] gh/c00w/50/head -> origin/gh/c00w/50/head 2025-08-14T21:03:59.1590670Z * [new branch] gh/c00w/50/orig -> origin/gh/c00w/50/orig 2025-08-14T21:03:59.1592353Z * [new branch] gh/c00w/51/base -> origin/gh/c00w/51/base 2025-08-14T21:03:59.1593534Z * [new branch] gh/c00w/51/head -> origin/gh/c00w/51/head 2025-08-14T21:03:59.1594692Z * [new branch] gh/c00w/51/orig -> origin/gh/c00w/51/orig 2025-08-14T21:03:59.1596066Z * [new branch] gh/c00w/52/base -> origin/gh/c00w/52/base 2025-08-14T21:03:59.1597189Z * [new branch] gh/c00w/52/head -> origin/gh/c00w/52/head 2025-08-14T21:03:59.1598142Z * [new branch] gh/c00w/52/orig -> origin/gh/c00w/52/orig 2025-08-14T21:03:59.1599631Z * [new branch] gh/c00w/53/base -> origin/gh/c00w/53/base 2025-08-14T21:03:59.1600569Z * [new branch] gh/c00w/53/head -> origin/gh/c00w/53/head 2025-08-14T21:03:59.1601517Z * [new branch] gh/c00w/53/orig -> origin/gh/c00w/53/orig 2025-08-14T21:03:59.1602690Z * [new branch] gh/c00w/54/base -> origin/gh/c00w/54/base 2025-08-14T21:03:59.1603703Z * [new branch] gh/c00w/54/head -> origin/gh/c00w/54/head 2025-08-14T21:03:59.1604769Z * [new branch] gh/c00w/54/orig -> origin/gh/c00w/54/orig 2025-08-14T21:03:59.1606571Z * [new branch] gh/chenmillie/1/base -> origin/gh/chenmillie/1/base 2025-08-14T21:03:59.1607739Z * [new branch] gh/chenmillie/1/head -> origin/gh/chenmillie/1/head 2025-08-14T21:03:59.1608875Z * [new branch] gh/chenmillie/1/orig -> origin/gh/chenmillie/1/orig 2025-08-14T21:03:59.1610567Z * [new branch] gh/clee2000/1/base -> origin/gh/clee2000/1/base 2025-08-14T21:03:59.1611642Z * [new branch] gh/clee2000/1/head -> origin/gh/clee2000/1/head 2025-08-14T21:03:59.1613280Z * [new branch] gh/clee2000/1/orig -> origin/gh/clee2000/1/orig 2025-08-14T21:03:59.1615035Z * [new branch] gh/coconutruben/1/base -> origin/gh/coconutruben/1/base 2025-08-14T21:03:59.1616079Z * [new branch] gh/coconutruben/1/head -> origin/gh/coconutruben/1/head 2025-08-14T21:03:59.1617684Z * [new branch] gh/coconutruben/11/base -> origin/gh/coconutruben/11/base 2025-08-14T21:03:59.1618675Z * [new branch] gh/coconutruben/11/head -> origin/gh/coconutruben/11/head 2025-08-14T21:03:59.1619653Z * [new branch] gh/coconutruben/11/orig -> origin/gh/coconutruben/11/orig 2025-08-14T21:03:59.1621703Z * [new branch] gh/coconutruben/12/base -> origin/gh/coconutruben/12/base 2025-08-14T21:03:59.1622902Z * [new branch] gh/coconutruben/12/head -> origin/gh/coconutruben/12/head 2025-08-14T21:03:59.1624168Z * [new branch] gh/coconutruben/12/orig -> origin/gh/coconutruben/12/orig 2025-08-14T21:03:59.1625743Z * [new branch] gh/coconutruben/13/base -> origin/gh/coconutruben/13/base 2025-08-14T21:03:59.1627404Z * [new branch] gh/coconutruben/13/head -> origin/gh/coconutruben/13/head 2025-08-14T21:03:59.1628392Z * [new branch] gh/coconutruben/13/orig -> origin/gh/coconutruben/13/orig 2025-08-14T21:03:59.1629950Z * [new branch] gh/coconutruben/14/base -> origin/gh/coconutruben/14/base 2025-08-14T21:03:59.1630879Z * [new branch] gh/coconutruben/14/head -> origin/gh/coconutruben/14/head 2025-08-14T21:03:59.1631877Z * [new branch] gh/coconutruben/14/orig -> origin/gh/coconutruben/14/orig 2025-08-14T21:03:59.1633634Z * [new branch] gh/coconutruben/15/base -> origin/gh/coconutruben/15/base 2025-08-14T21:03:59.1634653Z * [new branch] gh/coconutruben/15/head -> origin/gh/coconutruben/15/head 2025-08-14T21:03:59.1635714Z * [new branch] gh/coconutruben/15/orig -> origin/gh/coconutruben/15/orig 2025-08-14T21:03:59.1637215Z * [new branch] gh/coconutruben/16/base -> origin/gh/coconutruben/16/base 2025-08-14T21:03:59.1638097Z * [new branch] gh/coconutruben/16/head -> origin/gh/coconutruben/16/head 2025-08-14T21:03:59.1639082Z * [new branch] gh/coconutruben/16/orig -> origin/gh/coconutruben/16/orig 2025-08-14T21:03:59.1640840Z * [new branch] gh/coconutruben/17/base -> origin/gh/coconutruben/17/base 2025-08-14T21:03:59.1642069Z * [new branch] gh/coconutruben/17/head -> origin/gh/coconutruben/17/head 2025-08-14T21:03:59.1643022Z * [new branch] gh/coconutruben/17/orig -> origin/gh/coconutruben/17/orig 2025-08-14T21:03:59.1644562Z * [new branch] gh/coconutruben/18/base -> origin/gh/coconutruben/18/base 2025-08-14T21:03:59.1645523Z * [new branch] gh/coconutruben/18/head -> origin/gh/coconutruben/18/head 2025-08-14T21:03:59.1646473Z * [new branch] gh/coconutruben/18/orig -> origin/gh/coconutruben/18/orig 2025-08-14T21:03:59.1647987Z * [new branch] gh/coconutruben/19/base -> origin/gh/coconutruben/19/base 2025-08-14T21:03:59.1648972Z * [new branch] gh/coconutruben/19/head -> origin/gh/coconutruben/19/head 2025-08-14T21:03:59.1650001Z * [new branch] gh/coconutruben/19/orig -> origin/gh/coconutruben/19/orig 2025-08-14T21:03:59.1651599Z * [new branch] gh/coconutruben/20/base -> origin/gh/coconutruben/20/base 2025-08-14T21:03:59.1652581Z * [new branch] gh/coconutruben/20/head -> origin/gh/coconutruben/20/head 2025-08-14T21:03:59.1653614Z * [new branch] gh/coconutruben/20/orig -> origin/gh/coconutruben/20/orig 2025-08-14T21:03:59.1655127Z * [new branch] gh/coconutruben/21/base -> origin/gh/coconutruben/21/base 2025-08-14T21:03:59.1656058Z * [new branch] gh/coconutruben/21/head -> origin/gh/coconutruben/21/head 2025-08-14T21:03:59.1657141Z * [new branch] gh/coconutruben/21/orig -> origin/gh/coconutruben/21/orig 2025-08-14T21:03:59.1658589Z * [new branch] gh/coconutruben/22/base -> origin/gh/coconutruben/22/base 2025-08-14T21:03:59.1659469Z * [new branch] gh/coconutruben/22/head -> origin/gh/coconutruben/22/head 2025-08-14T21:03:59.1660614Z * [new branch] gh/coconutruben/22/orig -> origin/gh/coconutruben/22/orig 2025-08-14T21:03:59.1662231Z * [new branch] gh/coconutruben/23/base -> origin/gh/coconutruben/23/base 2025-08-14T21:03:59.1663114Z * [new branch] gh/coconutruben/23/head -> origin/gh/coconutruben/23/head 2025-08-14T21:03:59.1664051Z * [new branch] gh/coconutruben/23/orig -> origin/gh/coconutruben/23/orig 2025-08-14T21:03:59.1665745Z * [new branch] gh/coconutruben/24/base -> origin/gh/coconutruben/24/base 2025-08-14T21:03:59.1667210Z * [new branch] gh/coconutruben/24/head -> origin/gh/coconutruben/24/head 2025-08-14T21:03:59.1667573Z * [new branch] gh/coconutruben/24/orig -> origin/gh/coconutruben/24/orig 2025-08-14T21:03:59.1669617Z * [new branch] gh/coconutruben/25/base -> origin/gh/coconutruben/25/base 2025-08-14T21:03:59.1671065Z * [new branch] gh/coconutruben/25/head -> origin/gh/coconutruben/25/head 2025-08-14T21:03:59.1672383Z * [new branch] gh/coconutruben/25/orig -> origin/gh/coconutruben/25/orig 2025-08-14T21:03:59.1673969Z * [new branch] gh/coconutruben/26/base -> origin/gh/coconutruben/26/base 2025-08-14T21:03:59.1675046Z * [new branch] gh/coconutruben/26/head -> origin/gh/coconutruben/26/head 2025-08-14T21:03:59.1676191Z * [new branch] gh/coconutruben/26/orig -> origin/gh/coconutruben/26/orig 2025-08-14T21:03:59.1677457Z * [new branch] gh/coconutruben/27/base -> origin/gh/coconutruben/27/base 2025-08-14T21:03:59.1678598Z * [new branch] gh/coconutruben/27/head -> origin/gh/coconutruben/27/head 2025-08-14T21:03:59.1679744Z * [new branch] gh/coconutruben/27/orig -> origin/gh/coconutruben/27/orig 2025-08-14T21:03:59.1682237Z * [new branch] gh/codingwithsurya/10/base -> origin/gh/codingwithsurya/10/base 2025-08-14T21:03:59.1683507Z * [new branch] gh/codingwithsurya/10/head -> origin/gh/codingwithsurya/10/head 2025-08-14T21:03:59.1684742Z * [new branch] gh/codingwithsurya/10/orig -> origin/gh/codingwithsurya/10/orig 2025-08-14T21:03:59.1686204Z * [new branch] gh/codingwithsurya/11/base -> origin/gh/codingwithsurya/11/base 2025-08-14T21:03:59.1687430Z * [new branch] gh/codingwithsurya/11/head -> origin/gh/codingwithsurya/11/head 2025-08-14T21:03:59.1688253Z * [new branch] gh/codingwithsurya/11/orig -> origin/gh/codingwithsurya/11/orig 2025-08-14T21:03:59.1690160Z * [new branch] gh/codingwithsurya/12/base -> origin/gh/codingwithsurya/12/base 2025-08-14T21:03:59.1691430Z * [new branch] gh/codingwithsurya/12/head -> origin/gh/codingwithsurya/12/head 2025-08-14T21:03:59.1692596Z * [new branch] gh/codingwithsurya/12/orig -> origin/gh/codingwithsurya/12/orig 2025-08-14T21:03:59.1693979Z * [new branch] gh/codingwithsurya/13/base -> origin/gh/codingwithsurya/13/base 2025-08-14T21:03:59.1695022Z * [new branch] gh/codingwithsurya/13/head -> origin/gh/codingwithsurya/13/head 2025-08-14T21:03:59.1696176Z * [new branch] gh/codingwithsurya/13/orig -> origin/gh/codingwithsurya/13/orig 2025-08-14T21:03:59.1697848Z * [new branch] gh/codingwithsurya/14/base -> origin/gh/codingwithsurya/14/base 2025-08-14T21:03:59.1698879Z * [new branch] gh/codingwithsurya/14/head -> origin/gh/codingwithsurya/14/head 2025-08-14T21:03:59.1699861Z * [new branch] gh/codingwithsurya/14/orig -> origin/gh/codingwithsurya/14/orig 2025-08-14T21:03:59.1701559Z * [new branch] gh/codingwithsurya/15/base -> origin/gh/codingwithsurya/15/base 2025-08-14T21:03:59.1702648Z * [new branch] gh/codingwithsurya/15/head -> origin/gh/codingwithsurya/15/head 2025-08-14T21:03:59.1703695Z * [new branch] gh/codingwithsurya/15/orig -> origin/gh/codingwithsurya/15/orig 2025-08-14T21:03:59.1705200Z * [new branch] gh/codingwithsurya/16/base -> origin/gh/codingwithsurya/16/base 2025-08-14T21:03:59.1706375Z * [new branch] gh/codingwithsurya/16/head -> origin/gh/codingwithsurya/16/head 2025-08-14T21:03:59.1707388Z * [new branch] gh/codingwithsurya/16/orig -> origin/gh/codingwithsurya/16/orig 2025-08-14T21:03:59.1708949Z * [new branch] gh/codingwithsurya/17/base -> origin/gh/codingwithsurya/17/base 2025-08-14T21:03:59.1710051Z * [new branch] gh/codingwithsurya/17/head -> origin/gh/codingwithsurya/17/head 2025-08-14T21:03:59.1711023Z * [new branch] gh/codingwithsurya/17/orig -> origin/gh/codingwithsurya/17/orig 2025-08-14T21:03:59.1712437Z * [new branch] gh/codingwithsurya/18/base -> origin/gh/codingwithsurya/18/base 2025-08-14T21:03:59.1713470Z * [new branch] gh/codingwithsurya/18/head -> origin/gh/codingwithsurya/18/head 2025-08-14T21:03:59.1714467Z * [new branch] gh/codingwithsurya/18/orig -> origin/gh/codingwithsurya/18/orig 2025-08-14T21:03:59.1716007Z * [new branch] gh/codingwithsurya/19/base -> origin/gh/codingwithsurya/19/base 2025-08-14T21:03:59.1717008Z * [new branch] gh/codingwithsurya/19/head -> origin/gh/codingwithsurya/19/head 2025-08-14T21:03:59.1718031Z * [new branch] gh/codingwithsurya/19/orig -> origin/gh/codingwithsurya/19/orig 2025-08-14T21:03:59.1719421Z * [new branch] gh/codingwithsurya/20/base -> origin/gh/codingwithsurya/20/base 2025-08-14T21:03:59.1720403Z * [new branch] gh/codingwithsurya/20/head -> origin/gh/codingwithsurya/20/head 2025-08-14T21:03:59.1721400Z * [new branch] gh/codingwithsurya/20/orig -> origin/gh/codingwithsurya/20/orig 2025-08-14T21:03:59.1722893Z * [new branch] gh/codingwithsurya/21/base -> origin/gh/codingwithsurya/21/base 2025-08-14T21:03:59.1723941Z * [new branch] gh/codingwithsurya/21/head -> origin/gh/codingwithsurya/21/head 2025-08-14T21:03:59.1724987Z * [new branch] gh/codingwithsurya/21/orig -> origin/gh/codingwithsurya/21/orig 2025-08-14T21:03:59.1726426Z * [new branch] gh/codingwithsurya/8/base -> origin/gh/codingwithsurya/8/base 2025-08-14T21:03:59.1727425Z * [new branch] gh/codingwithsurya/8/head -> origin/gh/codingwithsurya/8/head 2025-08-14T21:03:59.1728408Z * [new branch] gh/codingwithsurya/8/orig -> origin/gh/codingwithsurya/8/orig 2025-08-14T21:03:59.1729998Z * [new branch] gh/codingwithsurya/9/base -> origin/gh/codingwithsurya/9/base 2025-08-14T21:03:59.1731066Z * [new branch] gh/codingwithsurya/9/head -> origin/gh/codingwithsurya/9/head 2025-08-14T21:03:59.1732051Z * [new branch] gh/codingwithsurya/9/orig -> origin/gh/codingwithsurya/9/orig 2025-08-14T21:03:59.1733743Z * [new branch] gh/colinchan15/1/base -> origin/gh/colinchan15/1/base 2025-08-14T21:03:59.1734728Z * [new branch] gh/colinchan15/1/head -> origin/gh/colinchan15/1/head 2025-08-14T21:03:59.1735916Z * [new branch] gh/colinchan15/2/base -> origin/gh/colinchan15/2/base 2025-08-14T21:03:59.1736811Z * [new branch] gh/colinchan15/2/head -> origin/gh/colinchan15/2/head 2025-08-14T21:03:59.1738046Z * [new branch] gh/colinchan15/3/base -> origin/gh/colinchan15/3/base 2025-08-14T21:03:59.1738853Z * [new branch] gh/colinchan15/3/head -> origin/gh/colinchan15/3/head 2025-08-14T21:03:59.1740177Z * [new branch] gh/colinchan15/4/base -> origin/gh/colinchan15/4/base 2025-08-14T21:03:59.1741249Z * [new branch] gh/colinchan15/4/head -> origin/gh/colinchan15/4/head 2025-08-14T21:03:59.1742350Z * [new branch] gh/colinchan15/5/base -> origin/gh/colinchan15/5/base 2025-08-14T21:03:59.1743318Z * [new branch] gh/colinchan15/5/head -> origin/gh/colinchan15/5/head 2025-08-14T21:03:59.1744486Z * [new branch] gh/colinchan15/6/base -> origin/gh/colinchan15/6/base 2025-08-14T21:03:59.1745515Z * [new branch] gh/colinchan15/6/head -> origin/gh/colinchan15/6/head 2025-08-14T21:03:59.1747518Z * [new branch] gh/davidberard98/351/base -> origin/gh/davidberard98/351/base 2025-08-14T21:03:59.1748571Z * [new branch] gh/davidberard98/351/head -> origin/gh/davidberard98/351/head 2025-08-14T21:03:59.1749469Z * [new branch] gh/davidberard98/351/orig -> origin/gh/davidberard98/351/orig 2025-08-14T21:03:59.1750767Z * [new branch] gh/davidberard98/353/base -> origin/gh/davidberard98/353/base 2025-08-14T21:03:59.1751754Z * [new branch] gh/davidberard98/353/head -> origin/gh/davidberard98/353/head 2025-08-14T21:03:59.1752725Z * [new branch] gh/davidberard98/353/orig -> origin/gh/davidberard98/353/orig 2025-08-14T21:03:59.1754144Z * [new branch] gh/davidberard98/356/base -> origin/gh/davidberard98/356/base 2025-08-14T21:03:59.1755137Z * [new branch] gh/davidberard98/356/head -> origin/gh/davidberard98/356/head 2025-08-14T21:03:59.1756137Z * [new branch] gh/davidberard98/356/orig -> origin/gh/davidberard98/356/orig 2025-08-14T21:03:59.1757586Z * [new branch] gh/davidberard98/382/base -> origin/gh/davidberard98/382/base 2025-08-14T21:03:59.1758770Z * [new branch] gh/davidberard98/382/head -> origin/gh/davidberard98/382/head 2025-08-14T21:03:59.1759805Z * [new branch] gh/davidberard98/382/orig -> origin/gh/davidberard98/382/orig 2025-08-14T21:03:59.1761073Z * [new branch] gh/davidberard98/386/base -> origin/gh/davidberard98/386/base 2025-08-14T21:03:59.1762144Z * [new branch] gh/davidberard98/386/head -> origin/gh/davidberard98/386/head 2025-08-14T21:03:59.1763145Z * [new branch] gh/davidberard98/386/orig -> origin/gh/davidberard98/386/orig 2025-08-14T21:03:59.1764592Z * [new branch] gh/davidberard98/389/base -> origin/gh/davidberard98/389/base 2025-08-14T21:03:59.1765388Z * [new branch] gh/davidberard98/389/head -> origin/gh/davidberard98/389/head 2025-08-14T21:03:59.1766474Z * [new branch] gh/davidberard98/389/orig -> origin/gh/davidberard98/389/orig 2025-08-14T21:03:59.1767942Z * [new branch] gh/davidberard98/390/base -> origin/gh/davidberard98/390/base 2025-08-14T21:03:59.1769021Z * [new branch] gh/davidberard98/390/head -> origin/gh/davidberard98/390/head 2025-08-14T21:03:59.1770075Z * [new branch] gh/davidberard98/390/orig -> origin/gh/davidberard98/390/orig 2025-08-14T21:03:59.1771373Z * [new branch] gh/davidberard98/391/base -> origin/gh/davidberard98/391/base 2025-08-14T21:03:59.1772410Z * [new branch] gh/davidberard98/391/head -> origin/gh/davidberard98/391/head 2025-08-14T21:03:59.1773224Z * [new branch] gh/davidberard98/391/orig -> origin/gh/davidberard98/391/orig 2025-08-14T21:03:59.1774662Z * [new branch] gh/davidberard98/392/base -> origin/gh/davidberard98/392/base 2025-08-14T21:03:59.1775645Z * [new branch] gh/davidberard98/392/head -> origin/gh/davidberard98/392/head 2025-08-14T21:03:59.1776777Z * [new branch] gh/davidberard98/392/orig -> origin/gh/davidberard98/392/orig 2025-08-14T21:03:59.1778100Z * [new branch] gh/davidberard98/393/base -> origin/gh/davidberard98/393/base 2025-08-14T21:03:59.1779074Z * [new branch] gh/davidberard98/393/head -> origin/gh/davidberard98/393/head 2025-08-14T21:03:59.1780051Z * [new branch] gh/davidberard98/393/orig -> origin/gh/davidberard98/393/orig 2025-08-14T21:03:59.1781646Z * [new branch] gh/davidberard98/394/base -> origin/gh/davidberard98/394/base 2025-08-14T21:03:59.1782674Z * [new branch] gh/davidberard98/394/head -> origin/gh/davidberard98/394/head 2025-08-14T21:03:59.1783720Z * [new branch] gh/davidberard98/394/orig -> origin/gh/davidberard98/394/orig 2025-08-14T21:03:59.1785210Z * [new branch] gh/davidberard98/395/base -> origin/gh/davidberard98/395/base 2025-08-14T21:03:59.1786517Z * [new branch] gh/davidberard98/395/head -> origin/gh/davidberard98/395/head 2025-08-14T21:03:59.1787631Z * [new branch] gh/davidberard98/395/orig -> origin/gh/davidberard98/395/orig 2025-08-14T21:03:59.1788947Z * [new branch] gh/davidberard98/396/base -> origin/gh/davidberard98/396/base 2025-08-14T21:03:59.1789930Z * [new branch] gh/davidberard98/396/head -> origin/gh/davidberard98/396/head 2025-08-14T21:03:59.1790921Z * [new branch] gh/davidberard98/396/orig -> origin/gh/davidberard98/396/orig 2025-08-14T21:03:59.1792513Z * [new branch] gh/davidberard98/397/base -> origin/gh/davidberard98/397/base 2025-08-14T21:03:59.1793495Z * [new branch] gh/davidberard98/397/head -> origin/gh/davidberard98/397/head 2025-08-14T21:03:59.1794698Z * [new branch] gh/davidberard98/397/orig -> origin/gh/davidberard98/397/orig 2025-08-14T21:03:59.1796235Z * [new branch] gh/davidberard98/398/base -> origin/gh/davidberard98/398/base 2025-08-14T21:03:59.1797050Z * [new branch] gh/davidberard98/398/head -> origin/gh/davidberard98/398/head 2025-08-14T21:03:59.1798064Z * [new branch] gh/davidberard98/398/orig -> origin/gh/davidberard98/398/orig 2025-08-14T21:03:59.1799736Z * [new branch] gh/desertfire/570/base -> origin/gh/desertfire/570/base 2025-08-14T21:03:59.1800843Z * [new branch] gh/desertfire/570/head -> origin/gh/desertfire/570/head 2025-08-14T21:03:59.1801881Z * [new branch] gh/desertfire/570/orig -> origin/gh/desertfire/570/orig 2025-08-14T21:03:59.1803083Z * [new branch] gh/desertfire/572/base -> origin/gh/desertfire/572/base 2025-08-14T21:03:59.1804272Z * [new branch] gh/desertfire/572/head -> origin/gh/desertfire/572/head 2025-08-14T21:03:59.1805310Z * [new branch] gh/desertfire/572/orig -> origin/gh/desertfire/572/orig 2025-08-14T21:03:59.1806658Z * [new branch] gh/desertfire/589/base -> origin/gh/desertfire/589/base 2025-08-14T21:03:59.1807749Z * [new branch] gh/desertfire/589/head -> origin/gh/desertfire/589/head 2025-08-14T21:03:59.1808791Z * [new branch] gh/desertfire/589/orig -> origin/gh/desertfire/589/orig 2025-08-14T21:03:59.1810392Z * [new branch] gh/desertfire/590/base -> origin/gh/desertfire/590/base 2025-08-14T21:03:59.1811300Z * [new branch] gh/desertfire/590/head -> origin/gh/desertfire/590/head 2025-08-14T21:03:59.1812278Z * [new branch] gh/desertfire/590/orig -> origin/gh/desertfire/590/orig 2025-08-14T21:03:59.1813613Z * [new branch] gh/desertfire/591/base -> origin/gh/desertfire/591/base 2025-08-14T21:03:59.1814576Z * [new branch] gh/desertfire/591/head -> origin/gh/desertfire/591/head 2025-08-14T21:03:59.1815667Z * [new branch] gh/desertfire/591/orig -> origin/gh/desertfire/591/orig 2025-08-14T21:03:59.1816995Z * [new branch] gh/desertfire/592/base -> origin/gh/desertfire/592/base 2025-08-14T21:03:59.1817954Z * [new branch] gh/desertfire/592/head -> origin/gh/desertfire/592/head 2025-08-14T21:03:59.1819122Z * [new branch] gh/desertfire/592/orig -> origin/gh/desertfire/592/orig 2025-08-14T21:03:59.1820337Z * [new branch] gh/desertfire/593/base -> origin/gh/desertfire/593/base 2025-08-14T21:03:59.1821310Z * [new branch] gh/desertfire/593/head -> origin/gh/desertfire/593/head 2025-08-14T21:03:59.1822420Z * [new branch] gh/desertfire/593/orig -> origin/gh/desertfire/593/orig 2025-08-14T21:03:59.1823831Z * [new branch] gh/desertfire/594/base -> origin/gh/desertfire/594/base 2025-08-14T21:03:59.1824809Z * [new branch] gh/desertfire/594/head -> origin/gh/desertfire/594/head 2025-08-14T21:03:59.1825889Z * [new branch] gh/desertfire/594/orig -> origin/gh/desertfire/594/orig 2025-08-14T21:03:59.1827295Z * [new branch] gh/desertfire/595/base -> origin/gh/desertfire/595/base 2025-08-14T21:03:59.1828169Z * [new branch] gh/desertfire/595/head -> origin/gh/desertfire/595/head 2025-08-14T21:03:59.1829280Z * [new branch] gh/desertfire/595/orig -> origin/gh/desertfire/595/orig 2025-08-14T21:03:59.1830607Z * [new branch] gh/desertfire/596/base -> origin/gh/desertfire/596/base 2025-08-14T21:03:59.1831550Z * [new branch] gh/desertfire/596/head -> origin/gh/desertfire/596/head 2025-08-14T21:03:59.1832639Z * [new branch] gh/desertfire/596/orig -> origin/gh/desertfire/596/orig 2025-08-14T21:03:59.1833945Z * [new branch] gh/desertfire/597/base -> origin/gh/desertfire/597/base 2025-08-14T21:03:59.1834969Z * [new branch] gh/desertfire/597/head -> origin/gh/desertfire/597/head 2025-08-14T21:03:59.1835928Z * [new branch] gh/desertfire/597/orig -> origin/gh/desertfire/597/orig 2025-08-14T21:03:59.1837576Z * [new branch] gh/dharakk/1/base -> origin/gh/dharakk/1/base 2025-08-14T21:03:59.1838631Z * [new branch] gh/dharakk/1/head -> origin/gh/dharakk/1/head 2025-08-14T21:03:59.1840439Z * [new branch] gh/dharakk/4/base -> origin/gh/dharakk/4/base 2025-08-14T21:03:59.1841248Z * [new branch] gh/dharakk/4/head -> origin/gh/dharakk/4/head 2025-08-14T21:03:59.1842078Z * [new branch] gh/dharakk/4/orig -> origin/gh/dharakk/4/orig 2025-08-14T21:03:59.1843870Z * [new branch] gh/drisspg/140/base -> origin/gh/drisspg/140/base 2025-08-14T21:03:59.1844657Z * [new branch] gh/drisspg/140/head -> origin/gh/drisspg/140/head 2025-08-14T21:03:59.1845732Z * [new branch] gh/drisspg/140/orig -> origin/gh/drisspg/140/orig 2025-08-14T21:03:59.1847020Z * [new branch] gh/drisspg/149/base -> origin/gh/drisspg/149/base 2025-08-14T21:03:59.1847999Z * [new branch] gh/drisspg/149/head -> origin/gh/drisspg/149/head 2025-08-14T21:03:59.1849077Z * [new branch] gh/drisspg/149/orig -> origin/gh/drisspg/149/orig 2025-08-14T21:03:59.1850357Z * [new branch] gh/drisspg/150/base -> origin/gh/drisspg/150/base 2025-08-14T21:03:59.1851317Z * [new branch] gh/drisspg/150/head -> origin/gh/drisspg/150/head 2025-08-14T21:03:59.1852299Z * [new branch] gh/drisspg/150/orig -> origin/gh/drisspg/150/orig 2025-08-14T21:03:59.1853599Z * [new branch] gh/drisspg/151/base -> origin/gh/drisspg/151/base 2025-08-14T21:03:59.1854571Z * [new branch] gh/drisspg/151/head -> origin/gh/drisspg/151/head 2025-08-14T21:03:59.1855571Z * [new branch] gh/drisspg/151/orig -> origin/gh/drisspg/151/orig 2025-08-14T21:03:59.1856877Z * [new branch] gh/drisspg/158/base -> origin/gh/drisspg/158/base 2025-08-14T21:03:59.1857876Z * [new branch] gh/drisspg/158/head -> origin/gh/drisspg/158/head 2025-08-14T21:03:59.1858832Z * [new branch] gh/drisspg/158/orig -> origin/gh/drisspg/158/orig 2025-08-14T21:03:59.1860144Z * [new branch] gh/drisspg/159/base -> origin/gh/drisspg/159/base 2025-08-14T21:03:59.1861101Z * [new branch] gh/drisspg/159/head -> origin/gh/drisspg/159/head 2025-08-14T21:03:59.1862203Z * [new branch] gh/drisspg/159/orig -> origin/gh/drisspg/159/orig 2025-08-14T21:03:59.1863548Z * [new branch] gh/drisspg/166/base -> origin/gh/drisspg/166/base 2025-08-14T21:03:59.1864460Z * [new branch] gh/drisspg/166/head -> origin/gh/drisspg/166/head 2025-08-14T21:03:59.1865517Z * [new branch] gh/drisspg/166/orig -> origin/gh/drisspg/166/orig 2025-08-14T21:03:59.1866988Z * [new branch] gh/drisspg/168/base -> origin/gh/drisspg/168/base 2025-08-14T21:03:59.1867983Z * [new branch] gh/drisspg/168/head -> origin/gh/drisspg/168/head 2025-08-14T21:03:59.1868988Z * [new branch] gh/drisspg/168/orig -> origin/gh/drisspg/168/orig 2025-08-14T21:03:59.1870290Z * [new branch] gh/drisspg/169/base -> origin/gh/drisspg/169/base 2025-08-14T21:03:59.1871303Z * [new branch] gh/drisspg/169/head -> origin/gh/drisspg/169/head 2025-08-14T21:03:59.1872269Z * [new branch] gh/drisspg/169/orig -> origin/gh/drisspg/169/orig 2025-08-14T21:03:59.1873589Z * [new branch] gh/drisspg/170/base -> origin/gh/drisspg/170/base 2025-08-14T21:03:59.1874488Z * [new branch] gh/drisspg/170/head -> origin/gh/drisspg/170/head 2025-08-14T21:03:59.1875711Z * [new branch] gh/drisspg/170/orig -> origin/gh/drisspg/170/orig 2025-08-14T21:03:59.1877217Z * [new branch] gh/drisspg/171/base -> origin/gh/drisspg/171/base 2025-08-14T21:03:59.1878206Z * [new branch] gh/drisspg/171/head -> origin/gh/drisspg/171/head 2025-08-14T21:03:59.1879214Z * [new branch] gh/drisspg/171/orig -> origin/gh/drisspg/171/orig 2025-08-14T21:03:59.1880530Z * [new branch] gh/drisspg/172/base -> origin/gh/drisspg/172/base 2025-08-14T21:03:59.1881496Z * [new branch] gh/drisspg/172/head -> origin/gh/drisspg/172/head 2025-08-14T21:03:59.1882464Z * [new branch] gh/drisspg/172/orig -> origin/gh/drisspg/172/orig 2025-08-14T21:03:59.1883947Z * [new branch] gh/drisspg/173/base -> origin/gh/drisspg/173/base 2025-08-14T21:03:59.1884654Z * [new branch] gh/drisspg/173/head -> origin/gh/drisspg/173/head 2025-08-14T21:03:59.1885744Z * [new branch] gh/drisspg/173/orig -> origin/gh/drisspg/173/orig 2025-08-14T21:03:59.1887026Z * [new branch] gh/drisspg/174/base -> origin/gh/drisspg/174/base 2025-08-14T21:03:59.1887974Z * [new branch] gh/drisspg/174/head -> origin/gh/drisspg/174/head 2025-08-14T21:03:59.1889090Z * [new branch] gh/drisspg/174/orig -> origin/gh/drisspg/174/orig 2025-08-14T21:03:59.1890715Z * [new branch] gh/drisspg/175/base -> origin/gh/drisspg/175/base 2025-08-14T21:03:59.1891698Z * [new branch] gh/drisspg/175/head -> origin/gh/drisspg/175/head 2025-08-14T21:03:59.1892695Z * [new branch] gh/drisspg/175/orig -> origin/gh/drisspg/175/orig 2025-08-14T21:03:59.1894030Z * [new branch] gh/drisspg/176/base -> origin/gh/drisspg/176/base 2025-08-14T21:03:59.1894939Z * [new branch] gh/drisspg/176/head -> origin/gh/drisspg/176/head 2025-08-14T21:03:59.1896005Z * [new branch] gh/drisspg/176/orig -> origin/gh/drisspg/176/orig 2025-08-14T21:03:59.1897838Z * [new branch] gh/drisspg/177/base -> origin/gh/drisspg/177/base 2025-08-14T21:03:59.1898798Z * [new branch] gh/drisspg/177/head -> origin/gh/drisspg/177/head 2025-08-14T21:03:59.1899784Z * [new branch] gh/drisspg/177/orig -> origin/gh/drisspg/177/orig 2025-08-14T21:03:59.1901154Z * [new branch] gh/drisspg/178/base -> origin/gh/drisspg/178/base 2025-08-14T21:03:59.1902118Z * [new branch] gh/drisspg/178/head -> origin/gh/drisspg/178/head 2025-08-14T21:03:59.1903112Z * [new branch] gh/drisspg/178/orig -> origin/gh/drisspg/178/orig 2025-08-14T21:03:59.1904442Z * [new branch] gh/drisspg/179/base -> origin/gh/drisspg/179/base 2025-08-14T21:03:59.1905407Z * [new branch] gh/drisspg/179/head -> origin/gh/drisspg/179/head 2025-08-14T21:03:59.1906513Z * [new branch] gh/drisspg/179/orig -> origin/gh/drisspg/179/orig 2025-08-14T21:03:59.1907918Z * [new branch] gh/drisspg/180/base -> origin/gh/drisspg/180/base 2025-08-14T21:03:59.1908897Z * [new branch] gh/drisspg/180/head -> origin/gh/drisspg/180/head 2025-08-14T21:03:59.1909873Z * [new branch] gh/drisspg/180/orig -> origin/gh/drisspg/180/orig 2025-08-14T21:03:59.1911193Z * [new branch] gh/drisspg/181/base -> origin/gh/drisspg/181/base 2025-08-14T21:03:59.1912142Z * [new branch] gh/drisspg/181/head -> origin/gh/drisspg/181/head 2025-08-14T21:03:59.1912921Z * [new branch] gh/drisspg/181/orig -> origin/gh/drisspg/181/orig 2025-08-14T21:03:59.1914455Z * [new branch] gh/drisspg/182/base -> origin/gh/drisspg/182/base 2025-08-14T21:03:59.1915499Z * [new branch] gh/drisspg/182/head -> origin/gh/drisspg/182/head 2025-08-14T21:03:59.1916868Z * [new branch] gh/drisspg/183/base -> origin/gh/drisspg/183/base 2025-08-14T21:03:59.1917665Z * [new branch] gh/drisspg/183/head -> origin/gh/drisspg/183/head 2025-08-14T21:03:59.1919012Z * [new branch] gh/drisspg/184/base -> origin/gh/drisspg/184/base 2025-08-14T21:03:59.1919806Z * [new branch] gh/drisspg/184/head -> origin/gh/drisspg/184/head 2025-08-14T21:03:59.1921296Z * [new branch] gh/drisspg/185/base -> origin/gh/drisspg/185/base 2025-08-14T21:03:59.1922293Z * [new branch] gh/drisspg/185/head -> origin/gh/drisspg/185/head 2025-08-14T21:03:59.1923970Z * [new branch] gh/dsjohns2/1/base -> origin/gh/dsjohns2/1/base 2025-08-14T21:03:59.1924784Z * [new branch] gh/dsjohns2/1/head -> origin/gh/dsjohns2/1/head 2025-08-14T21:03:59.1926456Z * [new branch] gh/eellison/784/base -> origin/gh/eellison/784/base 2025-08-14T21:03:59.1927564Z * [new branch] gh/eellison/784/head -> origin/gh/eellison/784/head 2025-08-14T21:03:59.1928570Z * [new branch] gh/eellison/784/orig -> origin/gh/eellison/784/orig 2025-08-14T21:03:59.1930136Z * [new branch] gh/eellison/785/base -> origin/gh/eellison/785/base 2025-08-14T21:03:59.1931163Z * [new branch] gh/eellison/785/head -> origin/gh/eellison/785/head 2025-08-14T21:03:59.1932161Z * [new branch] gh/eellison/785/orig -> origin/gh/eellison/785/orig 2025-08-14T21:03:59.1933471Z * [new branch] gh/eellison/789/base -> origin/gh/eellison/789/base 2025-08-14T21:03:59.1934436Z * [new branch] gh/eellison/789/head -> origin/gh/eellison/789/head 2025-08-14T21:03:59.1935407Z * [new branch] gh/eellison/789/orig -> origin/gh/eellison/789/orig 2025-08-14T21:03:59.1937115Z * [new branch] gh/eellison/800/base -> origin/gh/eellison/800/base 2025-08-14T21:03:59.1938123Z * [new branch] gh/eellison/800/head -> origin/gh/eellison/800/head 2025-08-14T21:03:59.1939089Z * [new branch] gh/eellison/800/orig -> origin/gh/eellison/800/orig 2025-08-14T21:03:59.1940402Z * [new branch] gh/eellison/801/base -> origin/gh/eellison/801/base 2025-08-14T21:03:59.1941483Z * [new branch] gh/eellison/801/head -> origin/gh/eellison/801/head 2025-08-14T21:03:59.1942431Z * [new branch] gh/eellison/801/orig -> origin/gh/eellison/801/orig 2025-08-14T21:03:59.1943784Z * [new branch] gh/eellison/802/base -> origin/gh/eellison/802/base 2025-08-14T21:03:59.1944759Z * [new branch] gh/eellison/802/head -> origin/gh/eellison/802/head 2025-08-14T21:03:59.1945790Z * [new branch] gh/eellison/802/orig -> origin/gh/eellison/802/orig 2025-08-14T21:03:59.1947220Z * [new branch] gh/eellison/805/base -> origin/gh/eellison/805/base 2025-08-14T21:03:59.1948108Z * [new branch] gh/eellison/805/head -> origin/gh/eellison/805/head 2025-08-14T21:03:59.1949214Z * [new branch] gh/eellison/805/orig -> origin/gh/eellison/805/orig 2025-08-14T21:03:59.1950595Z * [new branch] gh/eellison/808/base -> origin/gh/eellison/808/base 2025-08-14T21:03:59.1951752Z * [new branch] gh/eellison/808/head -> origin/gh/eellison/808/head 2025-08-14T21:03:59.1952306Z * [new branch] gh/eellison/808/orig -> origin/gh/eellison/808/orig 2025-08-14T21:03:59.1953823Z * [new branch] gh/eellison/809/base -> origin/gh/eellison/809/base 2025-08-14T21:03:59.1954863Z * [new branch] gh/eellison/809/head -> origin/gh/eellison/809/head 2025-08-14T21:03:59.1955834Z * [new branch] gh/eellison/809/orig -> origin/gh/eellison/809/orig 2025-08-14T21:03:59.1957196Z * [new branch] gh/eellison/810/base -> origin/gh/eellison/810/base 2025-08-14T21:03:59.1958168Z * [new branch] gh/eellison/810/head -> origin/gh/eellison/810/head 2025-08-14T21:03:59.1959181Z * [new branch] gh/eellison/810/orig -> origin/gh/eellison/810/orig 2025-08-14T21:03:59.1960644Z * [new branch] gh/eellison/811/base -> origin/gh/eellison/811/base 2025-08-14T21:03:59.1961324Z * [new branch] gh/eellison/811/head -> origin/gh/eellison/811/head 2025-08-14T21:03:59.1962398Z * [new branch] gh/eellison/811/orig -> origin/gh/eellison/811/orig 2025-08-14T21:03:59.1964252Z * [new branch] gh/eellison/812/base -> origin/gh/eellison/812/base 2025-08-14T21:03:59.1965239Z * [new branch] gh/eellison/812/head -> origin/gh/eellison/812/head 2025-08-14T21:03:59.1966140Z * [new branch] gh/eellison/812/orig -> origin/gh/eellison/812/orig 2025-08-14T21:03:59.1967476Z * [new branch] gh/eellison/813/base -> origin/gh/eellison/813/base 2025-08-14T21:03:59.1968532Z * [new branch] gh/eellison/813/head -> origin/gh/eellison/813/head 2025-08-14T21:03:59.1969799Z * [new branch] gh/eellison/813/orig -> origin/gh/eellison/813/orig 2025-08-14T21:03:59.1971920Z * [new branch] gh/etaf/132/base -> origin/gh/etaf/132/base 2025-08-14T21:03:59.1972918Z * [new branch] gh/etaf/132/head -> origin/gh/etaf/132/head 2025-08-14T21:03:59.1973930Z * [new branch] gh/etaf/132/orig -> origin/gh/etaf/132/orig 2025-08-14T21:03:59.1975365Z * [new branch] gh/etaf/138/base -> origin/gh/etaf/138/base 2025-08-14T21:03:59.1976522Z * [new branch] gh/etaf/138/head -> origin/gh/etaf/138/head 2025-08-14T21:03:59.1981161Z * [new branch] gh/etaf/138/orig -> origin/gh/etaf/138/orig 2025-08-14T21:03:59.1982556Z * [new branch] gh/etaf/140/base -> origin/gh/etaf/140/base 2025-08-14T21:03:59.1983557Z * [new branch] gh/etaf/140/head -> origin/gh/etaf/140/head 2025-08-14T21:03:59.1984530Z * [new branch] gh/etaf/140/orig -> origin/gh/etaf/140/orig 2025-08-14T21:03:59.1986077Z * [new branch] gh/etaf/143/base -> origin/gh/etaf/143/base 2025-08-14T21:03:59.1987261Z * [new branch] gh/etaf/143/head -> origin/gh/etaf/143/head 2025-08-14T21:03:59.1988293Z * [new branch] gh/etaf/143/orig -> origin/gh/etaf/143/orig 2025-08-14T21:03:59.1989642Z * [new branch] gh/etaf/147/base -> origin/gh/etaf/147/base 2025-08-14T21:03:59.1990633Z * [new branch] gh/etaf/147/head -> origin/gh/etaf/147/head 2025-08-14T21:03:59.1991991Z * [new branch] gh/etaf/148/base -> origin/gh/etaf/148/base 2025-08-14T21:03:59.1992958Z * [new branch] gh/etaf/148/head -> origin/gh/etaf/148/head 2025-08-14T21:03:59.1993844Z * [new branch] gh/etaf/148/orig -> origin/gh/etaf/148/orig 2025-08-14T21:03:59.1995243Z * [new branch] gh/etaf/149/base -> origin/gh/etaf/149/base 2025-08-14T21:03:59.1996288Z * [new branch] gh/etaf/149/head -> origin/gh/etaf/149/head 2025-08-14T21:03:59.1997268Z * [new branch] gh/etaf/149/orig -> origin/gh/etaf/149/orig 2025-08-14T21:03:59.1998711Z * [new branch] gh/etaf/150/base -> origin/gh/etaf/150/base 2025-08-14T21:03:59.2000384Z * [new branch] gh/etaf/150/head -> origin/gh/etaf/150/head 2025-08-14T21:03:59.2001040Z * [new branch] gh/etaf/150/orig -> origin/gh/etaf/150/orig 2025-08-14T21:03:59.2002250Z * [new branch] gh/etaf/151/base -> origin/gh/etaf/151/base 2025-08-14T21:03:59.2003338Z * [new branch] gh/etaf/151/head -> origin/gh/etaf/151/head 2025-08-14T21:03:59.2004384Z * [new branch] gh/etaf/151/orig -> origin/gh/etaf/151/orig 2025-08-14T21:03:59.2005742Z * [new branch] gh/etaf/152/base -> origin/gh/etaf/152/base 2025-08-14T21:03:59.2007190Z * [new branch] gh/etaf/152/head -> origin/gh/etaf/152/head 2025-08-14T21:03:59.2008210Z * [new branch] gh/etaf/152/orig -> origin/gh/etaf/152/orig 2025-08-14T21:03:59.2009561Z * [new branch] gh/etaf/153/base -> origin/gh/etaf/153/base 2025-08-14T21:03:59.2010718Z * [new branch] gh/etaf/153/head -> origin/gh/etaf/153/head 2025-08-14T21:03:59.2011458Z * [new branch] gh/etaf/153/orig -> origin/gh/etaf/153/orig 2025-08-14T21:03:59.2012688Z * [new branch] gh/etaf/154/base -> origin/gh/etaf/154/base 2025-08-14T21:03:59.2013747Z * [new branch] gh/etaf/154/head -> origin/gh/etaf/154/head 2025-08-14T21:03:59.2014770Z * [new branch] gh/etaf/154/orig -> origin/gh/etaf/154/orig 2025-08-14T21:03:59.2016171Z * [new branch] gh/etaf/155/base -> origin/gh/etaf/155/base 2025-08-14T21:03:59.2017111Z * [new branch] gh/etaf/155/head -> origin/gh/etaf/155/head 2025-08-14T21:03:59.2018034Z * [new branch] gh/etaf/155/orig -> origin/gh/etaf/155/orig 2025-08-14T21:03:59.2019728Z * [new branch] gh/ezyang/2374/base -> origin/gh/ezyang/2374/base 2025-08-14T21:03:59.2020739Z * [new branch] gh/ezyang/2374/head -> origin/gh/ezyang/2374/head 2025-08-14T21:03:59.2021713Z * [new branch] gh/ezyang/2374/orig -> origin/gh/ezyang/2374/orig 2025-08-14T21:03:59.2023101Z * [new branch] gh/ezyang/2973/base -> origin/gh/ezyang/2973/base 2025-08-14T21:03:59.2024504Z * [new branch] gh/ezyang/2973/head -> origin/gh/ezyang/2973/head 2025-08-14T21:03:59.2025533Z * [new branch] gh/ezyang/2973/orig -> origin/gh/ezyang/2973/orig 2025-08-14T21:03:59.2027055Z * [new branch] gh/ezyang/2974/base -> origin/gh/ezyang/2974/base 2025-08-14T21:03:59.2028045Z * [new branch] gh/ezyang/2974/head -> origin/gh/ezyang/2974/head 2025-08-14T21:03:59.2029018Z * [new branch] gh/ezyang/2974/orig -> origin/gh/ezyang/2974/orig 2025-08-14T21:03:59.2030350Z * [new branch] gh/ezyang/3068/base -> origin/gh/ezyang/3068/base 2025-08-14T21:03:59.2031332Z * [new branch] gh/ezyang/3068/head -> origin/gh/ezyang/3068/head 2025-08-14T21:03:59.2032357Z * [new branch] gh/ezyang/3068/orig -> origin/gh/ezyang/3068/orig 2025-08-14T21:03:59.2033737Z * [new branch] gh/ezyang/3071/base -> origin/gh/ezyang/3071/base 2025-08-14T21:03:59.2034705Z * [new branch] gh/ezyang/3071/head -> origin/gh/ezyang/3071/head 2025-08-14T21:03:59.2035790Z * [new branch] gh/ezyang/3071/orig -> origin/gh/ezyang/3071/orig 2025-08-14T21:03:59.2037085Z * [new branch] gh/ezyang/3074/base -> origin/gh/ezyang/3074/base 2025-08-14T21:03:59.2038050Z * [new branch] gh/ezyang/3074/head -> origin/gh/ezyang/3074/head 2025-08-14T21:03:59.2039046Z * [new branch] gh/ezyang/3074/orig -> origin/gh/ezyang/3074/orig 2025-08-14T21:03:59.2040457Z * [new branch] gh/ezyang/3088/base -> origin/gh/ezyang/3088/base 2025-08-14T21:03:59.2041427Z * [new branch] gh/ezyang/3088/head -> origin/gh/ezyang/3088/head 2025-08-14T21:03:59.2042401Z * [new branch] gh/ezyang/3088/orig -> origin/gh/ezyang/3088/orig 2025-08-14T21:03:59.2043744Z * [new branch] gh/ezyang/3092/base -> origin/gh/ezyang/3092/base 2025-08-14T21:03:59.2044795Z * [new branch] gh/ezyang/3092/head -> origin/gh/ezyang/3092/head 2025-08-14T21:03:59.2045812Z * [new branch] gh/ezyang/3092/orig -> origin/gh/ezyang/3092/orig 2025-08-14T21:03:59.2047181Z * [new branch] gh/ezyang/3097/base -> origin/gh/ezyang/3097/base 2025-08-14T21:03:59.2048114Z * [new branch] gh/ezyang/3097/head -> origin/gh/ezyang/3097/head 2025-08-14T21:03:59.2049217Z * [new branch] gh/ezyang/3097/orig -> origin/gh/ezyang/3097/orig 2025-08-14T21:03:59.2050544Z * [new branch] gh/ezyang/3098/base -> origin/gh/ezyang/3098/base 2025-08-14T21:03:59.2051636Z * [new branch] gh/ezyang/3098/head -> origin/gh/ezyang/3098/head 2025-08-14T21:03:59.2052600Z * [new branch] gh/ezyang/3098/orig -> origin/gh/ezyang/3098/orig 2025-08-14T21:03:59.2053920Z * [new branch] gh/ezyang/3099/base -> origin/gh/ezyang/3099/base 2025-08-14T21:03:59.2070003Z * [new branch] gh/ezyang/3099/head -> origin/gh/ezyang/3099/head 2025-08-14T21:03:59.2070509Z * [new branch] gh/ezyang/3099/orig -> origin/gh/ezyang/3099/orig 2025-08-14T21:03:59.2070732Z * [new branch] gh/ezyang/3100/base -> origin/gh/ezyang/3100/base 2025-08-14T21:03:59.2070958Z * [new branch] gh/ezyang/3100/head -> origin/gh/ezyang/3100/head 2025-08-14T21:03:59.2071165Z * [new branch] gh/ezyang/3100/orig -> origin/gh/ezyang/3100/orig 2025-08-14T21:03:59.2071384Z * [new branch] gh/ezyang/3101/base -> origin/gh/ezyang/3101/base 2025-08-14T21:03:59.2071605Z * [new branch] gh/ezyang/3101/head -> origin/gh/ezyang/3101/head 2025-08-14T21:03:59.2071812Z * [new branch] gh/ezyang/3101/orig -> origin/gh/ezyang/3101/orig 2025-08-14T21:03:59.2072032Z * [new branch] gh/ezyang/3102/base -> origin/gh/ezyang/3102/base 2025-08-14T21:03:59.2072247Z * [new branch] gh/ezyang/3102/head -> origin/gh/ezyang/3102/head 2025-08-14T21:03:59.2072453Z * [new branch] gh/ezyang/3102/orig -> origin/gh/ezyang/3102/orig 2025-08-14T21:03:59.2072673Z * [new branch] gh/ezyang/3103/base -> origin/gh/ezyang/3103/base 2025-08-14T21:03:59.2072891Z * [new branch] gh/ezyang/3103/head -> origin/gh/ezyang/3103/head 2025-08-14T21:03:59.2073107Z * [new branch] gh/ezyang/3103/orig -> origin/gh/ezyang/3103/orig 2025-08-14T21:03:59.2073316Z * [new branch] gh/ezyang/3104/base -> origin/gh/ezyang/3104/base 2025-08-14T21:03:59.2073524Z * [new branch] gh/ezyang/3104/head -> origin/gh/ezyang/3104/head 2025-08-14T21:03:59.2073859Z * [new branch] gh/ezyang/3104/orig -> origin/gh/ezyang/3104/orig 2025-08-14T21:03:59.2075337Z * [new branch] gh/ezyang/3105/base -> origin/gh/ezyang/3105/base 2025-08-14T21:03:59.2076407Z * [new branch] gh/ezyang/3105/head -> origin/gh/ezyang/3105/head 2025-08-14T21:03:59.2077471Z * [new branch] gh/ezyang/3105/orig -> origin/gh/ezyang/3105/orig 2025-08-14T21:03:59.2080409Z * [new branch] gh/ezyang/3106/base -> origin/gh/ezyang/3106/base 2025-08-14T21:03:59.2081428Z * [new branch] gh/ezyang/3106/head -> origin/gh/ezyang/3106/head 2025-08-14T21:03:59.2082428Z * [new branch] gh/ezyang/3106/orig -> origin/gh/ezyang/3106/orig 2025-08-14T21:03:59.2083949Z * [new branch] gh/ezyang/3107/base -> origin/gh/ezyang/3107/base 2025-08-14T21:03:59.2084913Z * [new branch] gh/ezyang/3107/head -> origin/gh/ezyang/3107/head 2025-08-14T21:03:59.2085917Z * [new branch] gh/ezyang/3107/orig -> origin/gh/ezyang/3107/orig 2025-08-14T21:03:59.2087250Z * [new branch] gh/ezyang/3108/base -> origin/gh/ezyang/3108/base 2025-08-14T21:03:59.2088231Z * [new branch] gh/ezyang/3108/head -> origin/gh/ezyang/3108/head 2025-08-14T21:03:59.2089270Z * [new branch] gh/ezyang/3108/orig -> origin/gh/ezyang/3108/orig 2025-08-14T21:03:59.2090627Z * [new branch] gh/ezyang/3109/base -> origin/gh/ezyang/3109/base 2025-08-14T21:03:59.2091632Z * [new branch] gh/ezyang/3109/head -> origin/gh/ezyang/3109/head 2025-08-14T21:03:59.2093014Z * [new branch] gh/ezyang/3109/orig -> origin/gh/ezyang/3109/orig 2025-08-14T21:03:59.2094471Z * [new branch] gh/ezyang/3110/base -> origin/gh/ezyang/3110/base 2025-08-14T21:03:59.2095369Z * [new branch] gh/ezyang/3110/head -> origin/gh/ezyang/3110/head 2025-08-14T21:03:59.2096571Z * [new branch] gh/ezyang/3110/orig -> origin/gh/ezyang/3110/orig 2025-08-14T21:03:59.2098019Z * [new branch] gh/ezyang/3111/base -> origin/gh/ezyang/3111/base 2025-08-14T21:03:59.2098988Z * [new branch] gh/ezyang/3111/head -> origin/gh/ezyang/3111/head 2025-08-14T21:03:59.2100020Z * [new branch] gh/ezyang/3111/orig -> origin/gh/ezyang/3111/orig 2025-08-14T21:03:59.2101382Z * [new branch] gh/ezyang/3112/base -> origin/gh/ezyang/3112/base 2025-08-14T21:03:59.2102392Z * [new branch] gh/ezyang/3112/head -> origin/gh/ezyang/3112/head 2025-08-14T21:03:59.2103433Z * [new branch] gh/ezyang/3112/orig -> origin/gh/ezyang/3112/orig 2025-08-14T21:03:59.2104740Z * [new branch] gh/ezyang/3113/base -> origin/gh/ezyang/3113/base 2025-08-14T21:03:59.2105791Z * [new branch] gh/ezyang/3113/head -> origin/gh/ezyang/3113/head 2025-08-14T21:03:59.2106838Z * [new branch] gh/ezyang/3113/orig -> origin/gh/ezyang/3113/orig 2025-08-14T21:03:59.2108682Z * [new branch] gh/ezyang/3114/base -> origin/gh/ezyang/3114/base 2025-08-14T21:03:59.2109781Z * [new branch] gh/ezyang/3114/head -> origin/gh/ezyang/3114/head 2025-08-14T21:03:59.2110752Z * [new branch] gh/ezyang/3114/orig -> origin/gh/ezyang/3114/orig 2025-08-14T21:03:59.2112251Z * [new branch] gh/ezyang/3115/base -> origin/gh/ezyang/3115/base 2025-08-14T21:03:59.2113250Z * [new branch] gh/ezyang/3115/head -> origin/gh/ezyang/3115/head 2025-08-14T21:03:59.2114340Z * [new branch] gh/ezyang/3115/orig -> origin/gh/ezyang/3115/orig 2025-08-14T21:03:59.2115703Z * [new branch] gh/ezyang/3116/base -> origin/gh/ezyang/3116/base 2025-08-14T21:03:59.2116688Z * [new branch] gh/ezyang/3116/head -> origin/gh/ezyang/3116/head 2025-08-14T21:03:59.2117694Z * [new branch] gh/ezyang/3116/orig -> origin/gh/ezyang/3116/orig 2025-08-14T21:03:59.2119085Z * [new branch] gh/ezyang/3117/base -> origin/gh/ezyang/3117/base 2025-08-14T21:03:59.2119887Z * [new branch] gh/ezyang/3117/head -> origin/gh/ezyang/3117/head 2025-08-14T21:03:59.2120998Z * [new branch] gh/ezyang/3117/orig -> origin/gh/ezyang/3117/orig 2025-08-14T21:03:59.2122325Z * [new branch] gh/ezyang/3118/base -> origin/gh/ezyang/3118/base 2025-08-14T21:03:59.2123787Z * [new branch] gh/ezyang/3118/head -> origin/gh/ezyang/3118/head 2025-08-14T21:03:59.2124809Z * [new branch] gh/ezyang/3118/orig -> origin/gh/ezyang/3118/orig 2025-08-14T21:03:59.2126319Z * [new branch] gh/ezyang/3119/base -> origin/gh/ezyang/3119/base 2025-08-14T21:03:59.2127636Z * [new branch] gh/ezyang/3119/head -> origin/gh/ezyang/3119/head 2025-08-14T21:03:59.2128672Z * [new branch] gh/ezyang/3119/orig -> origin/gh/ezyang/3119/orig 2025-08-14T21:03:59.2129941Z * [new branch] gh/ezyang/3120/base -> origin/gh/ezyang/3120/base 2025-08-14T21:03:59.2130940Z * [new branch] gh/ezyang/3120/head -> origin/gh/ezyang/3120/head 2025-08-14T21:03:59.2131903Z * [new branch] gh/ezyang/3120/orig -> origin/gh/ezyang/3120/orig 2025-08-14T21:03:59.2133640Z * [new branch] gh/ezyang/3121/base -> origin/gh/ezyang/3121/base 2025-08-14T21:03:59.2134699Z * [new branch] gh/ezyang/3121/head -> origin/gh/ezyang/3121/head 2025-08-14T21:03:59.2135748Z * [new branch] gh/ezyang/3121/orig -> origin/gh/ezyang/3121/orig 2025-08-14T21:03:59.2137010Z * [new branch] gh/ezyang/3122/base -> origin/gh/ezyang/3122/base 2025-08-14T21:03:59.2137967Z * [new branch] gh/ezyang/3122/head -> origin/gh/ezyang/3122/head 2025-08-14T21:03:59.2139034Z * [new branch] gh/ezyang/3122/orig -> origin/gh/ezyang/3122/orig 2025-08-14T21:03:59.2140423Z * [new branch] gh/ezyang/3123/base -> origin/gh/ezyang/3123/base 2025-08-14T21:03:59.2141401Z * [new branch] gh/ezyang/3123/head -> origin/gh/ezyang/3123/head 2025-08-14T21:03:59.2142395Z * [new branch] gh/ezyang/3123/orig -> origin/gh/ezyang/3123/orig 2025-08-14T21:03:59.2143913Z * [new branch] gh/ezyang/3124/base -> origin/gh/ezyang/3124/base 2025-08-14T21:03:59.2144872Z * [new branch] gh/ezyang/3124/head -> origin/gh/ezyang/3124/head 2025-08-14T21:03:59.2145675Z * [new branch] gh/ezyang/3124/orig -> origin/gh/ezyang/3124/orig 2025-08-14T21:03:59.2147141Z * [new branch] gh/ezyang/3125/base -> origin/gh/ezyang/3125/base 2025-08-14T21:03:59.2148037Z * [new branch] gh/ezyang/3125/head -> origin/gh/ezyang/3125/head 2025-08-14T21:03:59.2149065Z * [new branch] gh/ezyang/3125/orig -> origin/gh/ezyang/3125/orig 2025-08-14T21:03:59.2150439Z * [new branch] gh/ezyang/3126/base -> origin/gh/ezyang/3126/base 2025-08-14T21:03:59.2151332Z * [new branch] gh/ezyang/3126/head -> origin/gh/ezyang/3126/head 2025-08-14T21:03:59.2152384Z * [new branch] gh/ezyang/3126/orig -> origin/gh/ezyang/3126/orig 2025-08-14T21:03:59.2154119Z * [new branch] gh/ezyang/3127/base -> origin/gh/ezyang/3127/base 2025-08-14T21:03:59.2155095Z * [new branch] gh/ezyang/3127/head -> origin/gh/ezyang/3127/head 2025-08-14T21:03:59.2156099Z * [new branch] gh/ezyang/3127/orig -> origin/gh/ezyang/3127/orig 2025-08-14T21:03:59.2157460Z * [new branch] gh/ezyang/3128/base -> origin/gh/ezyang/3128/base 2025-08-14T21:03:59.2158409Z * [new branch] gh/ezyang/3128/head -> origin/gh/ezyang/3128/head 2025-08-14T21:03:59.2160357Z * [new branch] gh/ezyang/3128/orig -> origin/gh/ezyang/3128/orig 2025-08-14T21:03:59.2161050Z * [new branch] gh/ezyang/3129/base -> origin/gh/ezyang/3129/base 2025-08-14T21:03:59.2161615Z * [new branch] gh/ezyang/3129/head -> origin/gh/ezyang/3129/head 2025-08-14T21:03:59.2162864Z * [new branch] gh/ezyang/3129/orig -> origin/gh/ezyang/3129/orig 2025-08-14T21:03:59.2164005Z * [new branch] gh/ezyang/3130/base -> origin/gh/ezyang/3130/base 2025-08-14T21:03:59.2167261Z * [new branch] gh/ezyang/3130/head -> origin/gh/ezyang/3130/head 2025-08-14T21:03:59.2168671Z * [new branch] gh/ezyang/3130/orig -> origin/gh/ezyang/3130/orig 2025-08-14T21:03:59.2168880Z * [new branch] gh/ezyang/3131/base -> origin/gh/ezyang/3131/base 2025-08-14T21:03:59.2169106Z * [new branch] gh/ezyang/3131/head -> origin/gh/ezyang/3131/head 2025-08-14T21:03:59.2169324Z * [new branch] gh/ezyang/3131/orig -> origin/gh/ezyang/3131/orig 2025-08-14T21:03:59.2170708Z * [new branch] gh/ezyang/3132/base -> origin/gh/ezyang/3132/base 2025-08-14T21:03:59.2171650Z * [new branch] gh/ezyang/3132/head -> origin/gh/ezyang/3132/head 2025-08-14T21:03:59.2172637Z * [new branch] gh/ezyang/3132/orig -> origin/gh/ezyang/3132/orig 2025-08-14T21:03:59.2173906Z * [new branch] gh/ezyang/3133/base -> origin/gh/ezyang/3133/base 2025-08-14T21:03:59.2174848Z * [new branch] gh/ezyang/3133/head -> origin/gh/ezyang/3133/head 2025-08-14T21:03:59.2175905Z * [new branch] gh/ezyang/3133/orig -> origin/gh/ezyang/3133/orig 2025-08-14T21:03:59.2177355Z * [new branch] gh/ezyang/3134/base -> origin/gh/ezyang/3134/base 2025-08-14T21:03:59.2178329Z * [new branch] gh/ezyang/3134/head -> origin/gh/ezyang/3134/head 2025-08-14T21:03:59.2179280Z * [new branch] gh/ezyang/3134/orig -> origin/gh/ezyang/3134/orig 2025-08-14T21:03:59.2180730Z * [new branch] gh/ezyang/3135/base -> origin/gh/ezyang/3135/base 2025-08-14T21:03:59.2181805Z * [new branch] gh/ezyang/3135/head -> origin/gh/ezyang/3135/head 2025-08-14T21:03:59.2182803Z * [new branch] gh/ezyang/3135/orig -> origin/gh/ezyang/3135/orig 2025-08-14T21:03:59.2184079Z * [new branch] gh/ezyang/3136/base -> origin/gh/ezyang/3136/base 2025-08-14T21:03:59.2185048Z * [new branch] gh/ezyang/3136/head -> origin/gh/ezyang/3136/head 2025-08-14T21:03:59.2186120Z * [new branch] gh/ezyang/3136/orig -> origin/gh/ezyang/3136/orig 2025-08-14T21:03:59.2187787Z * [new branch] gh/fadara01/1/base -> origin/gh/fadara01/1/base 2025-08-14T21:03:59.2188764Z * [new branch] gh/fadara01/1/head -> origin/gh/fadara01/1/head 2025-08-14T21:03:59.2189768Z * [new branch] gh/fadara01/1/orig -> origin/gh/fadara01/1/orig 2025-08-14T21:03:59.2191496Z * [new branch] gh/fduwjj/168/base -> origin/gh/fduwjj/168/base 2025-08-14T21:03:59.2192550Z * [new branch] gh/fduwjj/168/head -> origin/gh/fduwjj/168/head 2025-08-14T21:03:59.2193651Z * [new branch] gh/fduwjj/168/orig -> origin/gh/fduwjj/168/orig 2025-08-14T21:03:59.2195100Z * [new branch] gh/fduwjj/169/base -> origin/gh/fduwjj/169/base 2025-08-14T21:03:59.2196152Z * [new branch] gh/fduwjj/169/head -> origin/gh/fduwjj/169/head 2025-08-14T21:03:59.2197270Z * [new branch] gh/fduwjj/169/orig -> origin/gh/fduwjj/169/orig 2025-08-14T21:03:59.2198845Z * [new branch] gh/fduwjj/170/base -> origin/gh/fduwjj/170/base 2025-08-14T21:03:59.2199786Z * [new branch] gh/fduwjj/170/head -> origin/gh/fduwjj/170/head 2025-08-14T21:03:59.2200690Z * [new branch] gh/fduwjj/170/orig -> origin/gh/fduwjj/170/orig 2025-08-14T21:03:59.2202749Z * [new branch] gh/fduwjj/171/base -> origin/gh/fduwjj/171/base 2025-08-14T21:03:59.2203988Z * [new branch] gh/fduwjj/171/head -> origin/gh/fduwjj/171/head 2025-08-14T21:03:59.2204707Z * [new branch] gh/fduwjj/171/orig -> origin/gh/fduwjj/171/orig 2025-08-14T21:03:59.2206180Z * [new branch] gh/fduwjj/172/base -> origin/gh/fduwjj/172/base 2025-08-14T21:03:59.2207553Z * [new branch] gh/fduwjj/172/head -> origin/gh/fduwjj/172/head 2025-08-14T21:03:59.2208639Z * [new branch] gh/fduwjj/172/orig -> origin/gh/fduwjj/172/orig 2025-08-14T21:03:59.2210031Z * [new branch] gh/fduwjj/173/base -> origin/gh/fduwjj/173/base 2025-08-14T21:03:59.2210734Z * [new branch] gh/fduwjj/173/head -> origin/gh/fduwjj/173/head 2025-08-14T21:03:59.2211799Z * [new branch] gh/fduwjj/173/orig -> origin/gh/fduwjj/173/orig 2025-08-14T21:03:59.2212982Z * [new branch] gh/fduwjj/174/base -> origin/gh/fduwjj/174/base 2025-08-14T21:03:59.2214001Z * [new branch] gh/fduwjj/174/head -> origin/gh/fduwjj/174/head 2025-08-14T21:03:59.2215039Z * [new branch] gh/fduwjj/174/orig -> origin/gh/fduwjj/174/orig 2025-08-14T21:03:59.2216511Z * [new branch] gh/fduwjj/175/base -> origin/gh/fduwjj/175/base 2025-08-14T21:03:59.2217821Z * [new branch] gh/fduwjj/175/head -> origin/gh/fduwjj/175/head 2025-08-14T21:03:59.2218772Z * [new branch] gh/fduwjj/175/orig -> origin/gh/fduwjj/175/orig 2025-08-14T21:03:59.2220040Z * [new branch] gh/fduwjj/176/base -> origin/gh/fduwjj/176/base 2025-08-14T21:03:59.2221047Z * [new branch] gh/fduwjj/176/head -> origin/gh/fduwjj/176/head 2025-08-14T21:03:59.2222138Z * [new branch] gh/fduwjj/176/orig -> origin/gh/fduwjj/176/orig 2025-08-14T21:03:59.2223450Z * [new branch] gh/fduwjj/177/base -> origin/gh/fduwjj/177/base 2025-08-14T21:03:59.2224420Z * [new branch] gh/fduwjj/177/head -> origin/gh/fduwjj/177/head 2025-08-14T21:03:59.2225395Z * [new branch] gh/fduwjj/177/orig -> origin/gh/fduwjj/177/orig 2025-08-14T21:03:59.2226963Z * [new branch] gh/fduwjj/178/base -> origin/gh/fduwjj/178/base 2025-08-14T21:03:59.2228042Z * [new branch] gh/fduwjj/178/head -> origin/gh/fduwjj/178/head 2025-08-14T21:03:59.2229093Z * [new branch] gh/fduwjj/178/orig -> origin/gh/fduwjj/178/orig 2025-08-14T21:03:59.2230446Z * [new branch] gh/fduwjj/179/base -> origin/gh/fduwjj/179/base 2025-08-14T21:03:59.2231393Z * [new branch] gh/fduwjj/179/head -> origin/gh/fduwjj/179/head 2025-08-14T21:03:59.2232364Z * [new branch] gh/fduwjj/179/orig -> origin/gh/fduwjj/179/orig 2025-08-14T21:03:59.2233811Z * [new branch] gh/fduwjj/180/base -> origin/gh/fduwjj/180/base 2025-08-14T21:03:59.2234747Z * [new branch] gh/fduwjj/180/head -> origin/gh/fduwjj/180/head 2025-08-14T21:03:59.2235839Z * [new branch] gh/fduwjj/180/orig -> origin/gh/fduwjj/180/orig 2025-08-14T21:03:59.2237186Z * [new branch] gh/fduwjj/181/base -> origin/gh/fduwjj/181/base 2025-08-14T21:03:59.2238228Z * [new branch] gh/fduwjj/181/head -> origin/gh/fduwjj/181/head 2025-08-14T21:03:59.2239109Z * [new branch] gh/fduwjj/181/orig -> origin/gh/fduwjj/181/orig 2025-08-14T21:03:59.2240735Z * [new branch] gh/fegin/306/base -> origin/gh/fegin/306/base 2025-08-14T21:03:59.2241786Z * [new branch] gh/fegin/306/head -> origin/gh/fegin/306/head 2025-08-14T21:03:59.2242743Z * [new branch] gh/fegin/306/orig -> origin/gh/fegin/306/orig 2025-08-14T21:03:59.2244061Z * [new branch] gh/fegin/307/base -> origin/gh/fegin/307/base 2025-08-14T21:03:59.2245028Z * [new branch] gh/fegin/307/head -> origin/gh/fegin/307/head 2025-08-14T21:03:59.2246058Z * [new branch] gh/fegin/307/orig -> origin/gh/fegin/307/orig 2025-08-14T21:03:59.2247672Z * [new branch] gh/fffrog/114/base -> origin/gh/fffrog/114/base 2025-08-14T21:03:59.2248635Z * [new branch] gh/fffrog/114/head -> origin/gh/fffrog/114/head 2025-08-14T21:03:59.2250218Z * [new branch] gh/fffrog/114/orig -> origin/gh/fffrog/114/orig 2025-08-14T21:03:59.2250920Z * [new branch] gh/fffrog/117/base -> origin/gh/fffrog/117/base 2025-08-14T21:03:59.2252000Z * [new branch] gh/fffrog/117/head -> origin/gh/fffrog/117/head 2025-08-14T21:03:59.2253211Z * [new branch] gh/fffrog/117/orig -> origin/gh/fffrog/117/orig 2025-08-14T21:03:59.2254539Z * [new branch] gh/fffrog/119/base -> origin/gh/fffrog/119/base 2025-08-14T21:03:59.2255515Z * [new branch] gh/fffrog/119/head -> origin/gh/fffrog/119/head 2025-08-14T21:03:59.2256538Z * [new branch] gh/fffrog/119/orig -> origin/gh/fffrog/119/orig 2025-08-14T21:03:59.2257841Z * [new branch] gh/fffrog/120/base -> origin/gh/fffrog/120/base 2025-08-14T21:03:59.2259318Z * [new branch] gh/fffrog/120/head -> origin/gh/fffrog/120/head 2025-08-14T21:03:59.2260269Z * [new branch] gh/fffrog/120/orig -> origin/gh/fffrog/120/orig 2025-08-14T21:03:59.2261657Z * [new branch] gh/fffrog/121/base -> origin/gh/fffrog/121/base 2025-08-14T21:03:59.2262614Z * [new branch] gh/fffrog/121/head -> origin/gh/fffrog/121/head 2025-08-14T21:03:59.2263630Z * [new branch] gh/fffrog/121/orig -> origin/gh/fffrog/121/orig 2025-08-14T21:03:59.2264841Z * [new branch] gh/fffrog/122/base -> origin/gh/fffrog/122/base 2025-08-14T21:03:59.2265857Z * [new branch] gh/fffrog/122/head -> origin/gh/fffrog/122/head 2025-08-14T21:03:59.2266923Z * [new branch] gh/fffrog/122/orig -> origin/gh/fffrog/122/orig 2025-08-14T21:03:59.2268254Z * [new branch] gh/fffrog/123/base -> origin/gh/fffrog/123/base 2025-08-14T21:03:59.2269246Z * [new branch] gh/fffrog/123/head -> origin/gh/fffrog/123/head 2025-08-14T21:03:59.2270413Z * [new branch] gh/fffrog/123/orig -> origin/gh/fffrog/123/orig 2025-08-14T21:03:59.2271736Z * [new branch] gh/fffrog/124/base -> origin/gh/fffrog/124/base 2025-08-14T21:03:59.2272709Z * [new branch] gh/fffrog/124/head -> origin/gh/fffrog/124/head 2025-08-14T21:03:59.2273737Z * [new branch] gh/fffrog/124/orig -> origin/gh/fffrog/124/orig 2025-08-14T21:03:59.2275125Z * [new branch] gh/fffrog/125/base -> origin/gh/fffrog/125/base 2025-08-14T21:03:59.2276278Z * [new branch] gh/fffrog/125/head -> origin/gh/fffrog/125/head 2025-08-14T21:03:59.2277322Z * [new branch] gh/fffrog/125/orig -> origin/gh/fffrog/125/orig 2025-08-14T21:03:59.2278649Z * [new branch] gh/fffrog/126/base -> origin/gh/fffrog/126/base 2025-08-14T21:03:59.2279644Z * [new branch] gh/fffrog/126/head -> origin/gh/fffrog/126/head 2025-08-14T21:03:59.2280629Z * [new branch] gh/fffrog/126/orig -> origin/gh/fffrog/126/orig 2025-08-14T21:03:59.2281945Z * [new branch] gh/fffrog/127/base -> origin/gh/fffrog/127/base 2025-08-14T21:03:59.2282815Z * [new branch] gh/fffrog/127/head -> origin/gh/fffrog/127/head 2025-08-14T21:03:59.2283952Z * [new branch] gh/fffrog/127/orig -> origin/gh/fffrog/127/orig 2025-08-14T21:03:59.2285272Z * [new branch] gh/fffrog/128/base -> origin/gh/fffrog/128/base 2025-08-14T21:03:59.2286244Z * [new branch] gh/fffrog/128/head -> origin/gh/fffrog/128/head 2025-08-14T21:03:59.2287230Z * [new branch] gh/fffrog/128/orig -> origin/gh/fffrog/128/orig 2025-08-14T21:03:59.2288661Z * [new branch] gh/fffrog/129/base -> origin/gh/fffrog/129/base 2025-08-14T21:03:59.2289647Z * [new branch] gh/fffrog/129/head -> origin/gh/fffrog/129/head 2025-08-14T21:03:59.2290628Z * [new branch] gh/fffrog/129/orig -> origin/gh/fffrog/129/orig 2025-08-14T21:03:59.2291952Z * [new branch] gh/fffrog/130/base -> origin/gh/fffrog/130/base 2025-08-14T21:03:59.2292891Z * [new branch] gh/fffrog/130/head -> origin/gh/fffrog/130/head 2025-08-14T21:03:59.2293904Z * [new branch] gh/fffrog/130/orig -> origin/gh/fffrog/130/orig 2025-08-14T21:03:59.2295255Z * [new branch] gh/fffrog/131/base -> origin/gh/fffrog/131/base 2025-08-14T21:03:59.2296187Z * [new branch] gh/fffrog/131/head -> origin/gh/fffrog/131/head 2025-08-14T21:03:59.2297256Z * [new branch] gh/fffrog/131/orig -> origin/gh/fffrog/131/orig 2025-08-14T21:03:59.2298624Z * [new branch] gh/fffrog/132/base -> origin/gh/fffrog/132/base 2025-08-14T21:03:59.2299420Z * [new branch] gh/fffrog/132/head -> origin/gh/fffrog/132/head 2025-08-14T21:03:59.2300488Z * [new branch] gh/fffrog/132/orig -> origin/gh/fffrog/132/orig 2025-08-14T21:03:59.2302254Z * [new branch] gh/fffrog/133/base -> origin/gh/fffrog/133/base 2025-08-14T21:03:59.2303256Z * [new branch] gh/fffrog/133/head -> origin/gh/fffrog/133/head 2025-08-14T21:03:59.2304250Z * [new branch] gh/fffrog/133/orig -> origin/gh/fffrog/133/orig 2025-08-14T21:03:59.2305683Z * [new branch] gh/fffrog/134/base -> origin/gh/fffrog/134/base 2025-08-14T21:03:59.2306694Z * [new branch] gh/fffrog/134/head -> origin/gh/fffrog/134/head 2025-08-14T21:03:59.2307717Z * [new branch] gh/fffrog/134/orig -> origin/gh/fffrog/134/orig 2025-08-14T21:03:59.2309055Z * [new branch] gh/fffrog/135/base -> origin/gh/fffrog/135/base 2025-08-14T21:03:59.2309999Z * [new branch] gh/fffrog/135/head -> origin/gh/fffrog/135/head 2025-08-14T21:03:59.2311006Z * [new branch] gh/fffrog/135/orig -> origin/gh/fffrog/135/orig 2025-08-14T21:03:59.2312425Z * [new branch] gh/fffrog/136/base -> origin/gh/fffrog/136/base 2025-08-14T21:03:59.2313420Z * [new branch] gh/fffrog/136/head -> origin/gh/fffrog/136/head 2025-08-14T21:03:59.2314878Z * [new branch] gh/fffrog/136/orig -> origin/gh/fffrog/136/orig 2025-08-14T21:03:59.2316222Z * [new branch] gh/fffrog/137/base -> origin/gh/fffrog/137/base 2025-08-14T21:03:59.2317177Z * [new branch] gh/fffrog/137/head -> origin/gh/fffrog/137/head 2025-08-14T21:03:59.2318129Z * [new branch] gh/fffrog/137/orig -> origin/gh/fffrog/137/orig 2025-08-14T21:03:59.2319455Z * [new branch] gh/fffrog/138/base -> origin/gh/fffrog/138/base 2025-08-14T21:03:59.2320441Z * [new branch] gh/fffrog/138/head -> origin/gh/fffrog/138/head 2025-08-14T21:03:59.2321494Z * [new branch] gh/fffrog/138/orig -> origin/gh/fffrog/138/orig 2025-08-14T21:03:59.2323102Z * [new branch] gh/gmagogsfm/1/base -> origin/gh/gmagogsfm/1/base 2025-08-14T21:03:59.2323936Z * [new branch] gh/gmagogsfm/1/head -> origin/gh/gmagogsfm/1/head 2025-08-14T21:03:59.2325029Z * [new branch] gh/gmagogsfm/1/orig -> origin/gh/gmagogsfm/1/orig 2025-08-14T21:03:59.2326215Z * [new branch] gh/gmagogsfm/2/base -> origin/gh/gmagogsfm/2/base 2025-08-14T21:03:59.2327032Z * [new branch] gh/gmagogsfm/2/head -> origin/gh/gmagogsfm/2/head 2025-08-14T21:03:59.2328083Z * [new branch] gh/gmagogsfm/2/orig -> origin/gh/gmagogsfm/2/orig 2025-08-14T21:03:59.2329802Z * [new branch] gh/gmagogsfm/3/base -> origin/gh/gmagogsfm/3/base 2025-08-14T21:03:59.2330655Z * [new branch] gh/gmagogsfm/3/head -> origin/gh/gmagogsfm/3/head 2025-08-14T21:03:59.2331726Z * [new branch] gh/gmagogsfm/3/orig -> origin/gh/gmagogsfm/3/orig 2025-08-14T21:03:59.2333062Z * [new branch] gh/gmagogsfm/4/base -> origin/gh/gmagogsfm/4/base 2025-08-14T21:03:59.2334019Z * [new branch] gh/gmagogsfm/4/head -> origin/gh/gmagogsfm/4/head 2025-08-14T21:03:59.2334996Z * [new branch] gh/gmagogsfm/4/orig -> origin/gh/gmagogsfm/4/orig 2025-08-14T21:03:59.2336541Z * [new branch] gh/guangyey/130/base -> origin/gh/guangyey/130/base 2025-08-14T21:03:59.2337527Z * [new branch] gh/guangyey/130/head -> origin/gh/guangyey/130/head 2025-08-14T21:03:59.2338517Z * [new branch] gh/guangyey/130/orig -> origin/gh/guangyey/130/orig 2025-08-14T21:03:59.2339867Z * [new branch] gh/guangyey/133/base -> origin/gh/guangyey/133/base 2025-08-14T21:03:59.2340681Z * [new branch] gh/guangyey/133/head -> origin/gh/guangyey/133/head 2025-08-14T21:03:59.2341846Z * [new branch] gh/guangyey/133/orig -> origin/gh/guangyey/133/orig 2025-08-14T21:03:59.2343187Z * [new branch] gh/guangyey/134/base -> origin/gh/guangyey/134/base 2025-08-14T21:03:59.2344156Z * [new branch] gh/guangyey/134/head -> origin/gh/guangyey/134/head 2025-08-14T21:03:59.2345177Z * [new branch] gh/guangyey/134/orig -> origin/gh/guangyey/134/orig 2025-08-14T21:03:59.2346567Z * [new branch] gh/guangyey/135/base -> origin/gh/guangyey/135/base 2025-08-14T21:03:59.2347640Z * [new branch] gh/guangyey/135/head -> origin/gh/guangyey/135/head 2025-08-14T21:03:59.2348640Z * [new branch] gh/guangyey/135/orig -> origin/gh/guangyey/135/orig 2025-08-14T21:03:59.2349906Z * [new branch] gh/guangyey/139/base -> origin/gh/guangyey/139/base 2025-08-14T21:03:59.2350895Z * [new branch] gh/guangyey/139/head -> origin/gh/guangyey/139/head 2025-08-14T21:03:59.2351830Z * [new branch] gh/guangyey/139/orig -> origin/gh/guangyey/139/orig 2025-08-14T21:03:59.2353153Z * [new branch] gh/guangyey/140/base -> origin/gh/guangyey/140/base 2025-08-14T21:03:59.2354129Z * [new branch] gh/guangyey/140/head -> origin/gh/guangyey/140/head 2025-08-14T21:03:59.2355269Z * [new branch] gh/guangyey/140/orig -> origin/gh/guangyey/140/orig 2025-08-14T21:03:59.2356565Z * [new branch] gh/guangyey/142/base -> origin/gh/guangyey/142/base 2025-08-14T21:03:59.2357514Z * [new branch] gh/guangyey/142/head -> origin/gh/guangyey/142/head 2025-08-14T21:03:59.2358553Z * [new branch] gh/guangyey/142/orig -> origin/gh/guangyey/142/orig 2025-08-14T21:03:59.2359850Z * [new branch] gh/guangyey/145/base -> origin/gh/guangyey/145/base 2025-08-14T21:03:59.2360821Z * [new branch] gh/guangyey/145/head -> origin/gh/guangyey/145/head 2025-08-14T21:03:59.2361793Z * [new branch] gh/guangyey/145/orig -> origin/gh/guangyey/145/orig 2025-08-14T21:03:59.2363091Z * [new branch] gh/guangyey/153/base -> origin/gh/guangyey/153/base 2025-08-14T21:03:59.2364074Z * [new branch] gh/guangyey/153/head -> origin/gh/guangyey/153/head 2025-08-14T21:03:59.2365031Z * [new branch] gh/guangyey/153/orig -> origin/gh/guangyey/153/orig 2025-08-14T21:03:59.2366342Z * [new branch] gh/guangyey/158/base -> origin/gh/guangyey/158/base 2025-08-14T21:03:59.2367298Z * [new branch] gh/guangyey/158/head -> origin/gh/guangyey/158/head 2025-08-14T21:03:59.2368374Z * [new branch] gh/guangyey/158/orig -> origin/gh/guangyey/158/orig 2025-08-14T21:03:59.2369650Z * [new branch] gh/guangyey/159/base -> origin/gh/guangyey/159/base 2025-08-14T21:03:59.2370652Z * [new branch] gh/guangyey/159/head -> origin/gh/guangyey/159/head 2025-08-14T21:03:59.2371684Z * [new branch] gh/guangyey/159/orig -> origin/gh/guangyey/159/orig 2025-08-14T21:03:59.2372915Z * [new branch] gh/guangyey/163/base -> origin/gh/guangyey/163/base 2025-08-14T21:03:59.2373897Z * [new branch] gh/guangyey/163/head -> origin/gh/guangyey/163/head 2025-08-14T21:03:59.2374886Z * [new branch] gh/guangyey/163/orig -> origin/gh/guangyey/163/orig 2025-08-14T21:03:59.2376261Z * [new branch] gh/guangyey/165/base -> origin/gh/guangyey/165/base 2025-08-14T21:03:59.2380327Z * [new branch] gh/guangyey/165/head -> origin/gh/guangyey/165/head 2025-08-14T21:03:59.2381487Z * [new branch] gh/guangyey/165/orig -> origin/gh/guangyey/165/orig 2025-08-14T21:03:59.2382716Z * [new branch] gh/guangyey/168/base -> origin/gh/guangyey/168/base 2025-08-14T21:03:59.2383693Z * [new branch] gh/guangyey/168/head -> origin/gh/guangyey/168/head 2025-08-14T21:03:59.2384862Z * [new branch] gh/guangyey/168/orig -> origin/gh/guangyey/168/orig 2025-08-14T21:03:59.2386720Z * [new branch] gh/guangyey/169/base -> origin/gh/guangyey/169/base 2025-08-14T21:03:59.2387721Z * [new branch] gh/guangyey/169/head -> origin/gh/guangyey/169/head 2025-08-14T21:03:59.2388771Z * [new branch] gh/guangyey/169/orig -> origin/gh/guangyey/169/orig 2025-08-14T21:03:59.2390073Z * [new branch] gh/guangyey/170/base -> origin/gh/guangyey/170/base 2025-08-14T21:03:59.2391383Z * [new branch] gh/guangyey/170/head -> origin/gh/guangyey/170/head 2025-08-14T21:03:59.2391912Z * [new branch] gh/guangyey/170/orig -> origin/gh/guangyey/170/orig 2025-08-14T21:03:59.2393753Z * [new branch] gh/guangyey/171/base -> origin/gh/guangyey/171/base 2025-08-14T21:03:59.2394731Z * [new branch] gh/guangyey/171/head -> origin/gh/guangyey/171/head 2025-08-14T21:03:59.2395737Z * [new branch] gh/guangyey/171/orig -> origin/gh/guangyey/171/orig 2025-08-14T21:03:59.2397120Z * [new branch] gh/guangyey/172/base -> origin/gh/guangyey/172/base 2025-08-14T21:03:59.2398066Z * [new branch] gh/guangyey/172/head -> origin/gh/guangyey/172/head 2025-08-14T21:03:59.2399168Z * [new branch] gh/guangyey/172/orig -> origin/gh/guangyey/172/orig 2025-08-14T21:03:59.2400595Z * [new branch] gh/guangyey/173/base -> origin/gh/guangyey/173/base 2025-08-14T21:03:59.2401599Z * [new branch] gh/guangyey/173/head -> origin/gh/guangyey/173/head 2025-08-14T21:03:59.2402822Z * [new branch] gh/guangyey/173/orig -> origin/gh/guangyey/173/orig 2025-08-14T21:03:59.2403883Z * [new branch] gh/guangyey/174/base -> origin/gh/guangyey/174/base 2025-08-14T21:03:59.2404862Z * [new branch] gh/guangyey/174/head -> origin/gh/guangyey/174/head 2025-08-14T21:03:59.2405736Z * [new branch] gh/guangyey/174/orig -> origin/gh/guangyey/174/orig 2025-08-14T21:03:59.2407180Z * [new branch] gh/guangyey/175/base -> origin/gh/guangyey/175/base 2025-08-14T21:03:59.2408565Z * [new branch] gh/guangyey/175/head -> origin/gh/guangyey/175/head 2025-08-14T21:03:59.2409617Z * [new branch] gh/guangyey/175/orig -> origin/gh/guangyey/175/orig 2025-08-14T21:03:59.2410965Z * [new branch] gh/guangyey/176/base -> origin/gh/guangyey/176/base 2025-08-14T21:03:59.2412025Z * [new branch] gh/guangyey/176/head -> origin/gh/guangyey/176/head 2025-08-14T21:03:59.2413140Z * [new branch] gh/guangyey/176/orig -> origin/gh/guangyey/176/orig 2025-08-14T21:03:59.2414473Z * [new branch] gh/guangyey/177/base -> origin/gh/guangyey/177/base 2025-08-14T21:03:59.2415431Z * [new branch] gh/guangyey/177/head -> origin/gh/guangyey/177/head 2025-08-14T21:03:59.2416458Z * [new branch] gh/guangyey/177/orig -> origin/gh/guangyey/177/orig 2025-08-14T21:03:59.2417773Z * [new branch] gh/guangyey/178/base -> origin/gh/guangyey/178/base 2025-08-14T21:03:59.2418746Z * [new branch] gh/guangyey/178/head -> origin/gh/guangyey/178/head 2025-08-14T21:03:59.2419748Z * [new branch] gh/guangyey/178/orig -> origin/gh/guangyey/178/orig 2025-08-14T21:03:59.2421191Z * [new branch] gh/guangyey/179/base -> origin/gh/guangyey/179/base 2025-08-14T21:03:59.2422175Z * [new branch] gh/guangyey/179/head -> origin/gh/guangyey/179/head 2025-08-14T21:03:59.2423103Z * [new branch] gh/guangyey/179/orig -> origin/gh/guangyey/179/orig 2025-08-14T21:03:59.2424426Z * [new branch] gh/guangyey/180/base -> origin/gh/guangyey/180/base 2025-08-14T21:03:59.2425938Z * [new branch] gh/guangyey/180/head -> origin/gh/guangyey/180/head 2025-08-14T21:03:59.2427063Z * [new branch] gh/guangyey/180/orig -> origin/gh/guangyey/180/orig 2025-08-14T21:03:59.2428544Z * [new branch] gh/guangyey/181/base -> origin/gh/guangyey/181/base 2025-08-14T21:03:59.2429434Z * [new branch] gh/guangyey/181/head -> origin/gh/guangyey/181/head 2025-08-14T21:03:59.2430464Z * [new branch] gh/guangyey/181/orig -> origin/gh/guangyey/181/orig 2025-08-14T21:03:59.2431794Z * [new branch] gh/guangyey/182/base -> origin/gh/guangyey/182/base 2025-08-14T21:03:59.2432736Z * [new branch] gh/guangyey/182/head -> origin/gh/guangyey/182/head 2025-08-14T21:03:59.2433744Z * [new branch] gh/guangyey/182/orig -> origin/gh/guangyey/182/orig 2025-08-14T21:03:59.2435313Z * [new branch] gh/guangyey/183/base -> origin/gh/guangyey/183/base 2025-08-14T21:03:59.2436037Z * [new branch] gh/guangyey/183/head -> origin/gh/guangyey/183/head 2025-08-14T21:03:59.2437203Z * [new branch] gh/guangyey/183/orig -> origin/gh/guangyey/183/orig 2025-08-14T21:03:59.2438542Z * [new branch] gh/guangyey/184/base -> origin/gh/guangyey/184/base 2025-08-14T21:03:59.2439542Z * [new branch] gh/guangyey/184/head -> origin/gh/guangyey/184/head 2025-08-14T21:03:59.2440559Z * [new branch] gh/guangyey/184/orig -> origin/gh/guangyey/184/orig 2025-08-14T21:03:59.2441920Z * [new branch] gh/guangyey/185/base -> origin/gh/guangyey/185/base 2025-08-14T21:03:59.2442907Z * [new branch] gh/guangyey/185/head -> origin/gh/guangyey/185/head 2025-08-14T21:03:59.2443844Z * [new branch] gh/guangyey/185/orig -> origin/gh/guangyey/185/orig 2025-08-14T21:03:59.2445212Z * [new branch] gh/guangyey/79/base -> origin/gh/guangyey/79/base 2025-08-14T21:03:59.2446087Z * [new branch] gh/guangyey/79/head -> origin/gh/guangyey/79/head 2025-08-14T21:03:59.2447175Z * [new branch] gh/guangyey/79/orig -> origin/gh/guangyey/79/orig 2025-08-14T21:03:59.2448487Z * [new branch] gh/guangyey/89/base -> origin/gh/guangyey/89/base 2025-08-14T21:03:59.2449451Z * [new branch] gh/guangyey/89/head -> origin/gh/guangyey/89/head 2025-08-14T21:03:59.2450466Z * [new branch] gh/guangyey/89/orig -> origin/gh/guangyey/89/orig 2025-08-14T21:03:59.2452218Z * [new branch] gh/guilhermeleobas/107/base -> origin/gh/guilhermeleobas/107/base 2025-08-14T21:03:59.2453290Z * [new branch] gh/guilhermeleobas/107/head -> origin/gh/guilhermeleobas/107/head 2025-08-14T21:03:59.2454096Z * [new branch] gh/guilhermeleobas/107/orig -> origin/gh/guilhermeleobas/107/orig 2025-08-14T21:03:59.2455522Z * [new branch] gh/guilhermeleobas/108/base -> origin/gh/guilhermeleobas/108/base 2025-08-14T21:03:59.2456574Z * [new branch] gh/guilhermeleobas/108/head -> origin/gh/guilhermeleobas/108/head 2025-08-14T21:03:59.2457810Z * [new branch] gh/guilhermeleobas/108/orig -> origin/gh/guilhermeleobas/108/orig 2025-08-14T21:03:59.2458879Z * [new branch] gh/guilhermeleobas/124/base -> origin/gh/guilhermeleobas/124/base 2025-08-14T21:03:59.2459812Z * [new branch] gh/guilhermeleobas/124/head -> origin/gh/guilhermeleobas/124/head 2025-08-14T21:03:59.2461003Z * [new branch] gh/guilhermeleobas/124/orig -> origin/gh/guilhermeleobas/124/orig 2025-08-14T21:03:59.2462216Z * [new branch] gh/guilhermeleobas/147/base -> origin/gh/guilhermeleobas/147/base 2025-08-14T21:03:59.2463255Z * [new branch] gh/guilhermeleobas/147/head -> origin/gh/guilhermeleobas/147/head 2025-08-14T21:03:59.2464039Z * [new branch] gh/guilhermeleobas/147/orig -> origin/gh/guilhermeleobas/147/orig 2025-08-14T21:03:59.2465487Z * [new branch] gh/guilhermeleobas/150/base -> origin/gh/guilhermeleobas/150/base 2025-08-14T21:03:59.2466731Z * [new branch] gh/guilhermeleobas/150/head -> origin/gh/guilhermeleobas/150/head 2025-08-14T21:03:59.2467670Z * [new branch] gh/guilhermeleobas/150/orig -> origin/gh/guilhermeleobas/150/orig 2025-08-14T21:03:59.2469036Z * [new branch] gh/guilhermeleobas/163/base -> origin/gh/guilhermeleobas/163/base 2025-08-14T21:03:59.2470025Z * [new branch] gh/guilhermeleobas/163/head -> origin/gh/guilhermeleobas/163/head 2025-08-14T21:03:59.2471033Z * [new branch] gh/guilhermeleobas/163/orig -> origin/gh/guilhermeleobas/163/orig 2025-08-14T21:03:59.2472303Z * [new branch] gh/guilhermeleobas/164/base -> origin/gh/guilhermeleobas/164/base 2025-08-14T21:03:59.2473340Z * [new branch] gh/guilhermeleobas/164/head -> origin/gh/guilhermeleobas/164/head 2025-08-14T21:03:59.2474350Z * [new branch] gh/guilhermeleobas/164/orig -> origin/gh/guilhermeleobas/164/orig 2025-08-14T21:03:59.2475617Z * [new branch] gh/guilhermeleobas/165/base -> origin/gh/guilhermeleobas/165/base 2025-08-14T21:03:59.2476792Z * [new branch] gh/guilhermeleobas/165/head -> origin/gh/guilhermeleobas/165/head 2025-08-14T21:03:59.2477767Z * [new branch] gh/guilhermeleobas/165/orig -> origin/gh/guilhermeleobas/165/orig 2025-08-14T21:03:59.2479096Z * [new branch] gh/guilhermeleobas/166/base -> origin/gh/guilhermeleobas/166/base 2025-08-14T21:03:59.2480146Z * [new branch] gh/guilhermeleobas/166/head -> origin/gh/guilhermeleobas/166/head 2025-08-14T21:03:59.2481125Z * [new branch] gh/guilhermeleobas/166/orig -> origin/gh/guilhermeleobas/166/orig 2025-08-14T21:03:59.2482519Z * [new branch] gh/guilhermeleobas/167/base -> origin/gh/guilhermeleobas/167/base 2025-08-14T21:03:59.2483441Z * [new branch] gh/guilhermeleobas/167/head -> origin/gh/guilhermeleobas/167/head 2025-08-14T21:03:59.2484504Z * [new branch] gh/guilhermeleobas/167/orig -> origin/gh/guilhermeleobas/167/orig 2025-08-14T21:03:59.2485812Z * [new branch] gh/guilhermeleobas/168/base -> origin/gh/guilhermeleobas/168/base 2025-08-14T21:03:59.2486806Z * [new branch] gh/guilhermeleobas/168/head -> origin/gh/guilhermeleobas/168/head 2025-08-14T21:03:59.2487801Z * [new branch] gh/guilhermeleobas/168/orig -> origin/gh/guilhermeleobas/168/orig 2025-08-14T21:03:59.2489116Z * [new branch] gh/guilhermeleobas/169/base -> origin/gh/guilhermeleobas/169/base 2025-08-14T21:03:59.2490099Z * [new branch] gh/guilhermeleobas/169/head -> origin/gh/guilhermeleobas/169/head 2025-08-14T21:03:59.2491083Z * [new branch] gh/guilhermeleobas/169/orig -> origin/gh/guilhermeleobas/169/orig 2025-08-14T21:03:59.2492390Z * [new branch] gh/guilhermeleobas/170/base -> origin/gh/guilhermeleobas/170/base 2025-08-14T21:03:59.2493454Z * [new branch] gh/guilhermeleobas/170/head -> origin/gh/guilhermeleobas/170/head 2025-08-14T21:03:59.2494396Z * [new branch] gh/guilhermeleobas/170/orig -> origin/gh/guilhermeleobas/170/orig 2025-08-14T21:03:59.2495758Z * [new branch] gh/guilhermeleobas/171/base -> origin/gh/guilhermeleobas/171/base 2025-08-14T21:03:59.2496731Z * [new branch] gh/guilhermeleobas/171/head -> origin/gh/guilhermeleobas/171/head 2025-08-14T21:03:59.2497822Z * [new branch] gh/guilhermeleobas/171/orig -> origin/gh/guilhermeleobas/171/orig 2025-08-14T21:03:59.2498994Z * [new branch] gh/guilhermeleobas/173/base -> origin/gh/guilhermeleobas/173/base 2025-08-14T21:03:59.2499994Z * [new branch] gh/guilhermeleobas/173/head -> origin/gh/guilhermeleobas/173/head 2025-08-14T21:03:59.2500983Z * [new branch] gh/guilhermeleobas/173/orig -> origin/gh/guilhermeleobas/173/orig 2025-08-14T21:03:59.2502316Z * [new branch] gh/guilhermeleobas/181/base -> origin/gh/guilhermeleobas/181/base 2025-08-14T21:03:59.2503291Z * [new branch] gh/guilhermeleobas/181/head -> origin/gh/guilhermeleobas/181/head 2025-08-14T21:03:59.2504299Z * [new branch] gh/guilhermeleobas/181/orig -> origin/gh/guilhermeleobas/181/orig 2025-08-14T21:03:59.2506287Z * [new branch] gh/guilhermeleobas/182/base -> origin/gh/guilhermeleobas/182/base 2025-08-14T21:03:59.2507417Z * [new branch] gh/guilhermeleobas/182/head -> origin/gh/guilhermeleobas/182/head 2025-08-14T21:03:59.2508438Z * [new branch] gh/guilhermeleobas/182/orig -> origin/gh/guilhermeleobas/182/orig 2025-08-14T21:03:59.2509801Z * [new branch] gh/guilhermeleobas/183/base -> origin/gh/guilhermeleobas/183/base 2025-08-14T21:03:59.2510821Z * [new branch] gh/guilhermeleobas/183/head -> origin/gh/guilhermeleobas/183/head 2025-08-14T21:03:59.2511642Z * [new branch] gh/guilhermeleobas/183/orig -> origin/gh/guilhermeleobas/183/orig 2025-08-14T21:03:59.2513071Z * [new branch] gh/guilhermeleobas/184/base -> origin/gh/guilhermeleobas/184/base 2025-08-14T21:03:59.2514064Z * [new branch] gh/guilhermeleobas/184/head -> origin/gh/guilhermeleobas/184/head 2025-08-14T21:03:59.2514996Z * [new branch] gh/guilhermeleobas/184/orig -> origin/gh/guilhermeleobas/184/orig 2025-08-14T21:03:59.2516349Z * [new branch] gh/guilhermeleobas/185/base -> origin/gh/guilhermeleobas/185/base 2025-08-14T21:03:59.2517741Z * [new branch] gh/guilhermeleobas/185/head -> origin/gh/guilhermeleobas/185/head 2025-08-14T21:03:59.2518806Z * [new branch] gh/guilhermeleobas/185/orig -> origin/gh/guilhermeleobas/185/orig 2025-08-14T21:03:59.2520242Z * [new branch] gh/guilhermeleobas/188/base -> origin/gh/guilhermeleobas/188/base 2025-08-14T21:03:59.2522297Z * [new branch] gh/guilhermeleobas/188/head -> origin/gh/guilhermeleobas/188/head 2025-08-14T21:03:59.2523296Z * [new branch] gh/guilhermeleobas/188/orig -> origin/gh/guilhermeleobas/188/orig 2025-08-14T21:03:59.2524700Z * [new branch] gh/guilhermeleobas/189/base -> origin/gh/guilhermeleobas/189/base 2025-08-14T21:03:59.2525744Z * [new branch] gh/guilhermeleobas/189/head -> origin/gh/guilhermeleobas/189/head 2025-08-14T21:03:59.2526572Z * [new branch] gh/guilhermeleobas/189/orig -> origin/gh/guilhermeleobas/189/orig 2025-08-14T21:03:59.2528019Z * [new branch] gh/guilhermeleobas/190/base -> origin/gh/guilhermeleobas/190/base 2025-08-14T21:03:59.2529349Z * [new branch] gh/guilhermeleobas/190/head -> origin/gh/guilhermeleobas/190/head 2025-08-14T21:03:59.2529842Z * [new branch] gh/guilhermeleobas/190/orig -> origin/gh/guilhermeleobas/190/orig 2025-08-14T21:03:59.2531241Z * [new branch] gh/guilhermeleobas/192/base -> origin/gh/guilhermeleobas/192/base 2025-08-14T21:03:59.2532304Z * [new branch] gh/guilhermeleobas/192/head -> origin/gh/guilhermeleobas/192/head 2025-08-14T21:03:59.2533095Z * [new branch] gh/guilhermeleobas/192/orig -> origin/gh/guilhermeleobas/192/orig 2025-08-14T21:03:59.2534493Z * [new branch] gh/guilhermeleobas/193/base -> origin/gh/guilhermeleobas/193/base 2025-08-14T21:03:59.2535582Z * [new branch] gh/guilhermeleobas/193/head -> origin/gh/guilhermeleobas/193/head 2025-08-14T21:03:59.2536810Z * [new branch] gh/guilhermeleobas/193/orig -> origin/gh/guilhermeleobas/193/orig 2025-08-14T21:03:59.2537992Z * [new branch] gh/guilhermeleobas/194/base -> origin/gh/guilhermeleobas/194/base 2025-08-14T21:03:59.2539020Z * [new branch] gh/guilhermeleobas/194/head -> origin/gh/guilhermeleobas/194/head 2025-08-14T21:03:59.2539838Z * [new branch] gh/guilhermeleobas/194/orig -> origin/gh/guilhermeleobas/194/orig 2025-08-14T21:03:59.2541381Z * [new branch] gh/guilhermeleobas/203/base -> origin/gh/guilhermeleobas/203/base 2025-08-14T21:03:59.2542166Z * [new branch] gh/guilhermeleobas/203/head -> origin/gh/guilhermeleobas/203/head 2025-08-14T21:03:59.2543285Z * [new branch] gh/guilhermeleobas/203/orig -> origin/gh/guilhermeleobas/203/orig 2025-08-14T21:03:59.2544609Z * [new branch] gh/guilhermeleobas/204/base -> origin/gh/guilhermeleobas/204/base 2025-08-14T21:03:59.2545706Z * [new branch] gh/guilhermeleobas/204/head -> origin/gh/guilhermeleobas/204/head 2025-08-14T21:03:59.2546713Z * [new branch] gh/guilhermeleobas/204/orig -> origin/gh/guilhermeleobas/204/orig 2025-08-14T21:03:59.2548052Z * [new branch] gh/guilhermeleobas/205/base -> origin/gh/guilhermeleobas/205/base 2025-08-14T21:03:59.2549136Z * [new branch] gh/guilhermeleobas/205/head -> origin/gh/guilhermeleobas/205/head 2025-08-14T21:03:59.2550131Z * [new branch] gh/guilhermeleobas/205/orig -> origin/gh/guilhermeleobas/205/orig 2025-08-14T21:03:59.2551608Z * [new branch] gh/guilhermeleobas/206/base -> origin/gh/guilhermeleobas/206/base 2025-08-14T21:03:59.2552361Z * [new branch] gh/guilhermeleobas/206/head -> origin/gh/guilhermeleobas/206/head 2025-08-14T21:03:59.2553440Z * [new branch] gh/guilhermeleobas/206/orig -> origin/gh/guilhermeleobas/206/orig 2025-08-14T21:03:59.2554881Z * [new branch] gh/guilhermeleobas/207/base -> origin/gh/guilhermeleobas/207/base 2025-08-14T21:03:59.2555874Z * [new branch] gh/guilhermeleobas/207/head -> origin/gh/guilhermeleobas/207/head 2025-08-14T21:03:59.2556890Z * [new branch] gh/guilhermeleobas/207/orig -> origin/gh/guilhermeleobas/207/orig 2025-08-14T21:03:59.2558109Z * [new branch] gh/guilhermeleobas/208/base -> origin/gh/guilhermeleobas/208/base 2025-08-14T21:03:59.2559014Z * [new branch] gh/guilhermeleobas/208/head -> origin/gh/guilhermeleobas/208/head 2025-08-14T21:03:59.2560072Z * [new branch] gh/guilhermeleobas/208/orig -> origin/gh/guilhermeleobas/208/orig 2025-08-14T21:03:59.2561411Z * [new branch] gh/guilhermeleobas/209/base -> origin/gh/guilhermeleobas/209/base 2025-08-14T21:03:59.2562506Z * [new branch] gh/guilhermeleobas/209/head -> origin/gh/guilhermeleobas/209/head 2025-08-14T21:03:59.2563563Z * [new branch] gh/guilhermeleobas/209/orig -> origin/gh/guilhermeleobas/209/orig 2025-08-14T21:03:59.2564959Z * [new branch] gh/guilhermeleobas/210/base -> origin/gh/guilhermeleobas/210/base 2025-08-14T21:03:59.2565796Z * [new branch] gh/guilhermeleobas/210/head -> origin/gh/guilhermeleobas/210/head 2025-08-14T21:03:59.2566861Z * [new branch] gh/guilhermeleobas/210/orig -> origin/gh/guilhermeleobas/210/orig 2025-08-14T21:03:59.2568106Z * [new branch] gh/guilhermeleobas/211/base -> origin/gh/guilhermeleobas/211/base 2025-08-14T21:03:59.2569112Z * [new branch] gh/guilhermeleobas/211/head -> origin/gh/guilhermeleobas/211/head 2025-08-14T21:03:59.2570070Z * [new branch] gh/guilhermeleobas/211/orig -> origin/gh/guilhermeleobas/211/orig 2025-08-14T21:03:59.2571442Z * [new branch] gh/guilhermeleobas/212/base -> origin/gh/guilhermeleobas/212/base 2025-08-14T21:03:59.2572389Z * [new branch] gh/guilhermeleobas/212/head -> origin/gh/guilhermeleobas/212/head 2025-08-14T21:03:59.2573527Z * [new branch] gh/guilhermeleobas/212/orig -> origin/gh/guilhermeleobas/212/orig 2025-08-14T21:03:59.2574954Z * [new branch] gh/guilhermeleobas/213/base -> origin/gh/guilhermeleobas/213/base 2025-08-14T21:03:59.2575903Z * [new branch] gh/guilhermeleobas/213/head -> origin/gh/guilhermeleobas/213/head 2025-08-14T21:03:59.2577033Z * [new branch] gh/guilhermeleobas/213/orig -> origin/gh/guilhermeleobas/213/orig 2025-08-14T21:03:59.2578455Z * [new branch] gh/guilhermeleobas/214/base -> origin/gh/guilhermeleobas/214/base 2025-08-14T21:03:59.2579472Z * [new branch] gh/guilhermeleobas/214/head -> origin/gh/guilhermeleobas/214/head 2025-08-14T21:03:59.2580525Z * [new branch] gh/guilhermeleobas/214/orig -> origin/gh/guilhermeleobas/214/orig 2025-08-14T21:03:59.2581784Z * [new branch] gh/guilhermeleobas/215/base -> origin/gh/guilhermeleobas/215/base 2025-08-14T21:03:59.2582772Z * [new branch] gh/guilhermeleobas/215/head -> origin/gh/guilhermeleobas/215/head 2025-08-14T21:03:59.2583742Z * [new branch] gh/guilhermeleobas/215/orig -> origin/gh/guilhermeleobas/215/orig 2025-08-14T21:03:59.2585108Z * [new branch] gh/guilhermeleobas/216/base -> origin/gh/guilhermeleobas/216/base 2025-08-14T21:03:59.2586191Z * [new branch] gh/guilhermeleobas/216/head -> origin/gh/guilhermeleobas/216/head 2025-08-14T21:03:59.2587001Z * [new branch] gh/guilhermeleobas/216/orig -> origin/gh/guilhermeleobas/216/orig 2025-08-14T21:03:59.2588544Z * [new branch] gh/guilhermeleobas/217/base -> origin/gh/guilhermeleobas/217/base 2025-08-14T21:03:59.2589693Z * [new branch] gh/guilhermeleobas/217/head -> origin/gh/guilhermeleobas/217/head 2025-08-14T21:03:59.2590469Z * [new branch] gh/guilhermeleobas/217/orig -> origin/gh/guilhermeleobas/217/orig 2025-08-14T21:03:59.2591924Z * [new branch] gh/guilhermeleobas/218/base -> origin/gh/guilhermeleobas/218/base 2025-08-14T21:03:59.2592921Z * [new branch] gh/guilhermeleobas/218/head -> origin/gh/guilhermeleobas/218/head 2025-08-14T21:03:59.2593912Z * [new branch] gh/guilhermeleobas/218/orig -> origin/gh/guilhermeleobas/218/orig 2025-08-14T21:03:59.2595200Z * [new branch] gh/guilhermeleobas/219/base -> origin/gh/guilhermeleobas/219/base 2025-08-14T21:03:59.2596080Z * [new branch] gh/guilhermeleobas/219/head -> origin/gh/guilhermeleobas/219/head 2025-08-14T21:03:59.2597168Z * [new branch] gh/guilhermeleobas/219/orig -> origin/gh/guilhermeleobas/219/orig 2025-08-14T21:03:59.2598513Z * [new branch] gh/guilhermeleobas/220/base -> origin/gh/guilhermeleobas/220/base 2025-08-14T21:03:59.2599488Z * [new branch] gh/guilhermeleobas/220/head -> origin/gh/guilhermeleobas/220/head 2025-08-14T21:03:59.2600536Z * [new branch] gh/guilhermeleobas/220/orig -> origin/gh/guilhermeleobas/220/orig 2025-08-14T21:03:59.2601908Z * [new branch] gh/guilhermeleobas/221/base -> origin/gh/guilhermeleobas/221/base 2025-08-14T21:03:59.2603022Z * [new branch] gh/guilhermeleobas/221/head -> origin/gh/guilhermeleobas/221/head 2025-08-14T21:03:59.2604038Z * [new branch] gh/guilhermeleobas/221/orig -> origin/gh/guilhermeleobas/221/orig 2025-08-14T21:03:59.2605299Z * [new branch] gh/guilhermeleobas/222/base -> origin/gh/guilhermeleobas/222/base 2025-08-14T21:03:59.2606295Z * [new branch] gh/guilhermeleobas/222/head -> origin/gh/guilhermeleobas/222/head 2025-08-14T21:03:59.2607241Z * [new branch] gh/guilhermeleobas/222/orig -> origin/gh/guilhermeleobas/222/orig 2025-08-14T21:03:59.2608652Z * [new branch] gh/guilhermeleobas/223/base -> origin/gh/guilhermeleobas/223/base 2025-08-14T21:03:59.2609497Z * [new branch] gh/guilhermeleobas/223/head -> origin/gh/guilhermeleobas/223/head 2025-08-14T21:03:59.2610673Z * [new branch] gh/guilhermeleobas/223/orig -> origin/gh/guilhermeleobas/223/orig 2025-08-14T21:03:59.2612100Z * [new branch] gh/guilhermeleobas/224/base -> origin/gh/guilhermeleobas/224/base 2025-08-14T21:03:59.2612862Z * [new branch] gh/guilhermeleobas/224/head -> origin/gh/guilhermeleobas/224/head 2025-08-14T21:03:59.2613934Z * [new branch] gh/guilhermeleobas/224/orig -> origin/gh/guilhermeleobas/224/orig 2025-08-14T21:03:59.2615246Z * [new branch] gh/guilhermeleobas/225/base -> origin/gh/guilhermeleobas/225/base 2025-08-14T21:03:59.2616342Z * [new branch] gh/guilhermeleobas/225/head -> origin/gh/guilhermeleobas/225/head 2025-08-14T21:03:59.2617719Z * [new branch] gh/guilhermeleobas/225/orig -> origin/gh/guilhermeleobas/225/orig 2025-08-14T21:03:59.2619136Z * [new branch] gh/guilhermeleobas/226/base -> origin/gh/guilhermeleobas/226/base 2025-08-14T21:03:59.2620161Z * [new branch] gh/guilhermeleobas/226/head -> origin/gh/guilhermeleobas/226/head 2025-08-14T21:03:59.2621162Z * [new branch] gh/guilhermeleobas/226/orig -> origin/gh/guilhermeleobas/226/orig 2025-08-14T21:03:59.2622551Z * [new branch] gh/guilhermeleobas/227/base -> origin/gh/guilhermeleobas/227/base 2025-08-14T21:03:59.2623548Z * [new branch] gh/guilhermeleobas/227/head -> origin/gh/guilhermeleobas/227/head 2025-08-14T21:03:59.2624601Z * [new branch] gh/guilhermeleobas/227/orig -> origin/gh/guilhermeleobas/227/orig 2025-08-14T21:03:59.2625957Z * [new branch] gh/guilhermeleobas/228/base -> origin/gh/guilhermeleobas/228/base 2025-08-14T21:03:59.2626981Z * [new branch] gh/guilhermeleobas/228/head -> origin/gh/guilhermeleobas/228/head 2025-08-14T21:03:59.2627811Z * [new branch] gh/guilhermeleobas/228/orig -> origin/gh/guilhermeleobas/228/orig 2025-08-14T21:03:59.2629281Z * [new branch] gh/guilhermeleobas/229/base -> origin/gh/guilhermeleobas/229/base 2025-08-14T21:03:59.2630359Z * [new branch] gh/guilhermeleobas/229/head -> origin/gh/guilhermeleobas/229/head 2025-08-14T21:03:59.2631292Z * [new branch] gh/guilhermeleobas/229/orig -> origin/gh/guilhermeleobas/229/orig 2025-08-14T21:03:59.2632667Z * [new branch] gh/guilhermeleobas/230/base -> origin/gh/guilhermeleobas/230/base 2025-08-14T21:03:59.2633672Z * [new branch] gh/guilhermeleobas/230/head -> origin/gh/guilhermeleobas/230/head 2025-08-14T21:03:59.2634446Z * [new branch] gh/guilhermeleobas/230/orig -> origin/gh/guilhermeleobas/230/orig 2025-08-14T21:03:59.2635938Z * [new branch] gh/guilhermeleobas/231/base -> origin/gh/guilhermeleobas/231/base 2025-08-14T21:03:59.2636881Z * [new branch] gh/guilhermeleobas/231/head -> origin/gh/guilhermeleobas/231/head 2025-08-14T21:03:59.2637959Z * [new branch] gh/guilhermeleobas/231/orig -> origin/gh/guilhermeleobas/231/orig 2025-08-14T21:03:59.2639271Z * [new branch] gh/guilhermeleobas/232/base -> origin/gh/guilhermeleobas/232/base 2025-08-14T21:03:59.2640262Z * [new branch] gh/guilhermeleobas/232/head -> origin/gh/guilhermeleobas/232/head 2025-08-14T21:03:59.2641092Z * [new branch] gh/guilhermeleobas/232/orig -> origin/gh/guilhermeleobas/232/orig 2025-08-14T21:03:59.2642609Z * [new branch] gh/guilhermeleobas/233/base -> origin/gh/guilhermeleobas/233/base 2025-08-14T21:03:59.2643623Z * [new branch] gh/guilhermeleobas/233/head -> origin/gh/guilhermeleobas/233/head 2025-08-14T21:03:59.2644915Z * [new branch] gh/guilhermeleobas/233/orig -> origin/gh/guilhermeleobas/233/orig 2025-08-14T21:03:59.2646232Z * [new branch] gh/guilhermeleobas/73/base -> origin/gh/guilhermeleobas/73/base 2025-08-14T21:03:59.2647196Z * [new branch] gh/guilhermeleobas/73/head -> origin/gh/guilhermeleobas/73/head 2025-08-14T21:03:59.2648039Z * [new branch] gh/guilhermeleobas/73/orig -> origin/gh/guilhermeleobas/73/orig 2025-08-14T21:03:59.2649903Z * [new branch] gh/henrylhtsang/103/base -> origin/gh/henrylhtsang/103/base 2025-08-14T21:03:59.2650905Z * [new branch] gh/henrylhtsang/103/head -> origin/gh/henrylhtsang/103/head 2025-08-14T21:03:59.2651914Z * [new branch] gh/henrylhtsang/103/orig -> origin/gh/henrylhtsang/103/orig 2025-08-14T21:03:59.2653416Z * [new branch] gh/henrylhtsang/108/base -> origin/gh/henrylhtsang/108/base 2025-08-14T21:03:59.2654463Z * [new branch] gh/henrylhtsang/108/head -> origin/gh/henrylhtsang/108/head 2025-08-14T21:03:59.2655473Z * [new branch] gh/henrylhtsang/108/orig -> origin/gh/henrylhtsang/108/orig 2025-08-14T21:03:59.2657255Z * [new branch] gh/henrylhtsang/118/base -> origin/gh/henrylhtsang/118/base 2025-08-14T21:03:59.2658169Z * [new branch] gh/henrylhtsang/118/head -> origin/gh/henrylhtsang/118/head 2025-08-14T21:03:59.2659191Z * [new branch] gh/henrylhtsang/118/orig -> origin/gh/henrylhtsang/118/orig 2025-08-14T21:03:59.2660637Z * [new branch] gh/henrylhtsang/123/base -> origin/gh/henrylhtsang/123/base 2025-08-14T21:03:59.2661714Z * [new branch] gh/henrylhtsang/123/head -> origin/gh/henrylhtsang/123/head 2025-08-14T21:03:59.2662733Z * [new branch] gh/henrylhtsang/123/orig -> origin/gh/henrylhtsang/123/orig 2025-08-14T21:03:59.2664181Z * [new branch] gh/henrylhtsang/124/base -> origin/gh/henrylhtsang/124/base 2025-08-14T21:03:59.2665308Z * [new branch] gh/henrylhtsang/124/head -> origin/gh/henrylhtsang/124/head 2025-08-14T21:03:59.2666925Z * [new branch] gh/henrylhtsang/124/orig -> origin/gh/henrylhtsang/124/orig 2025-08-14T21:03:59.2668280Z * [new branch] gh/henrylhtsang/125/base -> origin/gh/henrylhtsang/125/base 2025-08-14T21:03:59.2669269Z * [new branch] gh/henrylhtsang/125/head -> origin/gh/henrylhtsang/125/head 2025-08-14T21:03:59.2670663Z * [new branch] gh/henrylhtsang/125/orig -> origin/gh/henrylhtsang/125/orig 2025-08-14T21:03:59.2671974Z * [new branch] gh/henrylhtsang/126/base -> origin/gh/henrylhtsang/126/base 2025-08-14T21:03:59.2672958Z * [new branch] gh/henrylhtsang/126/head -> origin/gh/henrylhtsang/126/head 2025-08-14T21:03:59.2673993Z * [new branch] gh/henrylhtsang/126/orig -> origin/gh/henrylhtsang/126/orig 2025-08-14T21:03:59.2675286Z * [new branch] gh/henrylhtsang/127/base -> origin/gh/henrylhtsang/127/base 2025-08-14T21:03:59.2676514Z * [new branch] gh/henrylhtsang/127/head -> origin/gh/henrylhtsang/127/head 2025-08-14T21:03:59.2677546Z * [new branch] gh/henrylhtsang/127/orig -> origin/gh/henrylhtsang/127/orig 2025-08-14T21:03:59.2678814Z * [new branch] gh/henrylhtsang/128/base -> origin/gh/henrylhtsang/128/base 2025-08-14T21:03:59.2679753Z * [new branch] gh/henrylhtsang/128/head -> origin/gh/henrylhtsang/128/head 2025-08-14T21:03:59.2680749Z * [new branch] gh/henrylhtsang/128/orig -> origin/gh/henrylhtsang/128/orig 2025-08-14T21:03:59.2682269Z * [new branch] gh/henrylhtsang/129/base -> origin/gh/henrylhtsang/129/base 2025-08-14T21:03:59.2683621Z * [new branch] gh/henrylhtsang/129/head -> origin/gh/henrylhtsang/129/head 2025-08-14T21:03:59.2685089Z * [new branch] gh/henrylhtsang/129/orig -> origin/gh/henrylhtsang/129/orig 2025-08-14T21:03:59.2686643Z * [new branch] gh/henrylhtsang/130/base -> origin/gh/henrylhtsang/130/base 2025-08-14T21:03:59.2687687Z * [new branch] gh/henrylhtsang/130/head -> origin/gh/henrylhtsang/130/head 2025-08-14T21:03:59.2688858Z * [new branch] gh/henrylhtsang/131/base -> origin/gh/henrylhtsang/131/base 2025-08-14T21:03:59.2689972Z * [new branch] gh/henrylhtsang/131/head -> origin/gh/henrylhtsang/131/head 2025-08-14T21:03:59.2690773Z * [new branch] gh/henrylhtsang/131/orig -> origin/gh/henrylhtsang/131/orig 2025-08-14T21:03:59.2692190Z * [new branch] gh/henrylhtsang/132/base -> origin/gh/henrylhtsang/132/base 2025-08-14T21:03:59.2693170Z * [new branch] gh/henrylhtsang/132/head -> origin/gh/henrylhtsang/132/head 2025-08-14T21:03:59.2694163Z * [new branch] gh/henrylhtsang/132/orig -> origin/gh/henrylhtsang/132/orig 2025-08-14T21:03:59.2695495Z * [new branch] gh/henrylhtsang/133/base -> origin/gh/henrylhtsang/133/base 2025-08-14T21:03:59.2696564Z * [new branch] gh/henrylhtsang/133/head -> origin/gh/henrylhtsang/133/head 2025-08-14T21:03:59.2697542Z * [new branch] gh/henrylhtsang/133/orig -> origin/gh/henrylhtsang/133/orig 2025-08-14T21:03:59.2698909Z * [new branch] gh/henrylhtsang/134/base -> origin/gh/henrylhtsang/134/base 2025-08-14T21:03:59.2699995Z * [new branch] gh/henrylhtsang/134/head -> origin/gh/henrylhtsang/134/head 2025-08-14T21:03:59.2700978Z * [new branch] gh/henrylhtsang/134/orig -> origin/gh/henrylhtsang/134/orig 2025-08-14T21:03:59.2702355Z * [new branch] gh/henrylhtsang/135/base -> origin/gh/henrylhtsang/135/base 2025-08-14T21:03:59.2703448Z * [new branch] gh/henrylhtsang/135/head -> origin/gh/henrylhtsang/135/head 2025-08-14T21:03:59.2704429Z * [new branch] gh/henrylhtsang/135/orig -> origin/gh/henrylhtsang/135/orig 2025-08-14T21:03:59.2706226Z * [new branch] gh/henrylhtsang/136/base -> origin/gh/henrylhtsang/136/base 2025-08-14T21:03:59.2707376Z * [new branch] gh/henrylhtsang/136/head -> origin/gh/henrylhtsang/136/head 2025-08-14T21:03:59.2708464Z * [new branch] gh/henrylhtsang/136/orig -> origin/gh/henrylhtsang/136/orig 2025-08-14T21:03:59.2709750Z * [new branch] gh/henrylhtsang/137/base -> origin/gh/henrylhtsang/137/base 2025-08-14T21:03:59.2710587Z * [new branch] gh/henrylhtsang/137/head -> origin/gh/henrylhtsang/137/head 2025-08-14T21:03:59.2711641Z * [new branch] gh/henrylhtsang/137/orig -> origin/gh/henrylhtsang/137/orig 2025-08-14T21:03:59.2712971Z * [new branch] gh/henrylhtsang/138/base -> origin/gh/henrylhtsang/138/base 2025-08-14T21:03:59.2714037Z * [new branch] gh/henrylhtsang/138/head -> origin/gh/henrylhtsang/138/head 2025-08-14T21:03:59.2715014Z * [new branch] gh/henrylhtsang/138/orig -> origin/gh/henrylhtsang/138/orig 2025-08-14T21:03:59.2716398Z * [new branch] gh/henrylhtsang/139/base -> origin/gh/henrylhtsang/139/base 2025-08-14T21:03:59.2717357Z * [new branch] gh/henrylhtsang/139/head -> origin/gh/henrylhtsang/139/head 2025-08-14T21:03:59.2718445Z * [new branch] gh/henrylhtsang/139/orig -> origin/gh/henrylhtsang/139/orig 2025-08-14T21:03:59.2719843Z * [new branch] gh/henrylhtsang/140/base -> origin/gh/henrylhtsang/140/base 2025-08-14T21:03:59.2720975Z * [new branch] gh/henrylhtsang/140/head -> origin/gh/henrylhtsang/140/head 2025-08-14T21:03:59.2721948Z * [new branch] gh/henrylhtsang/140/orig -> origin/gh/henrylhtsang/140/orig 2025-08-14T21:03:59.2723229Z * [new branch] gh/henrylhtsang/141/base -> origin/gh/henrylhtsang/141/base 2025-08-14T21:03:59.2724255Z * [new branch] gh/henrylhtsang/141/head -> origin/gh/henrylhtsang/141/head 2025-08-14T21:03:59.2725261Z * [new branch] gh/henrylhtsang/141/orig -> origin/gh/henrylhtsang/141/orig 2025-08-14T21:03:59.2726822Z * [new branch] gh/henrylhtsang/142/base -> origin/gh/henrylhtsang/142/base 2025-08-14T21:03:59.2728099Z * [new branch] gh/henrylhtsang/142/head -> origin/gh/henrylhtsang/142/head 2025-08-14T21:03:59.2729197Z * [new branch] gh/henrylhtsang/142/orig -> origin/gh/henrylhtsang/142/orig 2025-08-14T21:03:59.2730520Z * [new branch] gh/henrylhtsang/143/base -> origin/gh/henrylhtsang/143/base 2025-08-14T21:03:59.2731499Z * [new branch] gh/henrylhtsang/143/head -> origin/gh/henrylhtsang/143/head 2025-08-14T21:03:59.2732514Z * [new branch] gh/henrylhtsang/143/orig -> origin/gh/henrylhtsang/143/orig 2025-08-14T21:03:59.2734565Z * [new branch] gh/henrylhtsang/144/base -> origin/gh/henrylhtsang/144/base 2025-08-14T21:03:59.2735410Z * [new branch] gh/henrylhtsang/144/head -> origin/gh/henrylhtsang/144/head 2025-08-14T21:03:59.2736168Z * [new branch] gh/henrylhtsang/144/orig -> origin/gh/henrylhtsang/144/orig 2025-08-14T21:03:59.2738059Z * [new branch] gh/henrylhtsang/145/base -> origin/gh/henrylhtsang/145/base 2025-08-14T21:03:59.2739046Z * [new branch] gh/henrylhtsang/145/head -> origin/gh/henrylhtsang/145/head 2025-08-14T21:03:59.2740002Z * [new branch] gh/henrylhtsang/145/orig -> origin/gh/henrylhtsang/145/orig 2025-08-14T21:03:59.2741890Z * [new branch] gh/henrylhtsang/146/base -> origin/gh/henrylhtsang/146/base 2025-08-14T21:03:59.2743037Z * [new branch] gh/henrylhtsang/146/head -> origin/gh/henrylhtsang/146/head 2025-08-14T21:03:59.2743975Z * [new branch] gh/henrylhtsang/146/orig -> origin/gh/henrylhtsang/146/orig 2025-08-14T21:03:59.2745546Z * [new branch] gh/huydhn/1/head -> origin/gh/huydhn/1/head 2025-08-14T21:03:59.2746523Z * [new branch] gh/huydhn/1/next -> origin/gh/huydhn/1/next 2025-08-14T21:03:59.2747765Z * [new branch] gh/huydhn/2/head -> origin/gh/huydhn/2/head 2025-08-14T21:03:59.2748544Z * [new branch] gh/huydhn/2/next -> origin/gh/huydhn/2/next 2025-08-14T21:03:59.2749604Z * [new branch] gh/huydhn/2/orig -> origin/gh/huydhn/2/orig 2025-08-14T21:03:59.2750881Z * [new branch] gh/huydhn/3/head -> origin/gh/huydhn/3/head 2025-08-14T21:03:59.2751654Z * [new branch] gh/huydhn/3/next -> origin/gh/huydhn/3/next 2025-08-14T21:03:59.2752835Z * [new branch] gh/huydhn/3/orig -> origin/gh/huydhn/3/orig 2025-08-14T21:03:59.2754117Z * [new branch] gh/huydhn/4/head -> origin/gh/huydhn/4/head 2025-08-14T21:03:59.2755154Z * [new branch] gh/huydhn/4/next -> origin/gh/huydhn/4/next 2025-08-14T21:03:59.2756184Z * [new branch] gh/huydhn/4/orig -> origin/gh/huydhn/4/orig 2025-08-14T21:03:59.2757452Z * [new branch] gh/huydhn/5/head -> origin/gh/huydhn/5/head 2025-08-14T21:03:59.2758172Z * [new branch] gh/huydhn/5/next -> origin/gh/huydhn/5/next 2025-08-14T21:03:59.2759284Z * [new branch] gh/huydhn/5/orig -> origin/gh/huydhn/5/orig 2025-08-14T21:03:59.2760541Z * [new branch] gh/huydhn/6/head -> origin/gh/huydhn/6/head 2025-08-14T21:03:59.2761517Z * [new branch] gh/huydhn/6/next -> origin/gh/huydhn/6/next 2025-08-14T21:03:59.2762247Z * [new branch] gh/huydhn/6/orig -> origin/gh/huydhn/6/orig 2025-08-14T21:03:59.2763891Z * [new branch] gh/int3/97/base -> origin/gh/int3/97/base 2025-08-14T21:03:59.2764839Z * [new branch] gh/int3/97/head -> origin/gh/int3/97/head 2025-08-14T21:03:59.2766473Z * [new branch] gh/isuruf/101/base -> origin/gh/isuruf/101/base 2025-08-14T21:03:59.2767452Z * [new branch] gh/isuruf/101/head -> origin/gh/isuruf/101/head 2025-08-14T21:03:59.2769208Z * [new branch] gh/isuruf/116/base -> origin/gh/isuruf/116/base 2025-08-14T21:03:59.2770232Z * [new branch] gh/isuruf/116/head -> origin/gh/isuruf/116/head 2025-08-14T21:03:59.2771335Z * [new branch] gh/isuruf/116/orig -> origin/gh/isuruf/116/orig 2025-08-14T21:03:59.2772562Z * [new branch] gh/isuruf/141/base -> origin/gh/isuruf/141/base 2025-08-14T21:03:59.2773555Z * [new branch] gh/isuruf/141/head -> origin/gh/isuruf/141/head 2025-08-14T21:03:59.2774548Z * [new branch] gh/isuruf/141/orig -> origin/gh/isuruf/141/orig 2025-08-14T21:03:59.2775850Z * [new branch] gh/isuruf/142/base -> origin/gh/isuruf/142/base 2025-08-14T21:03:59.2780101Z * [new branch] gh/isuruf/142/head -> origin/gh/isuruf/142/head 2025-08-14T21:03:59.2781092Z * [new branch] gh/isuruf/142/orig -> origin/gh/isuruf/142/orig 2025-08-14T21:03:59.2782470Z * [new branch] gh/isuruf/81/base -> origin/gh/isuruf/81/base 2025-08-14T21:03:59.2783556Z * [new branch] gh/isuruf/81/head -> origin/gh/isuruf/81/head 2025-08-14T21:03:59.2784554Z * [new branch] gh/isuruf/81/orig -> origin/gh/isuruf/81/orig 2025-08-14T21:03:59.2786204Z * [new branch] gh/jamesjwu/140/base -> origin/gh/jamesjwu/140/base 2025-08-14T21:03:59.2787258Z * [new branch] gh/jamesjwu/140/head -> origin/gh/jamesjwu/140/head 2025-08-14T21:03:59.2788236Z * [new branch] gh/jamesjwu/140/orig -> origin/gh/jamesjwu/140/orig 2025-08-14T21:03:59.2789515Z * [new branch] gh/jamesjwu/150/base -> origin/gh/jamesjwu/150/base 2025-08-14T21:03:59.2790460Z * [new branch] gh/jamesjwu/150/head -> origin/gh/jamesjwu/150/head 2025-08-14T21:03:59.2791434Z * [new branch] gh/jamesjwu/150/orig -> origin/gh/jamesjwu/150/orig 2025-08-14T21:03:59.2793001Z * [new branch] gh/jamesjwu/154/base -> origin/gh/jamesjwu/154/base 2025-08-14T21:03:59.2793963Z * [new branch] gh/jamesjwu/154/head -> origin/gh/jamesjwu/154/head 2025-08-14T21:03:59.2794776Z * [new branch] gh/jamesjwu/154/orig -> origin/gh/jamesjwu/154/orig 2025-08-14T21:03:59.2796253Z * [new branch] gh/jamesjwu/155/base -> origin/gh/jamesjwu/155/base 2025-08-14T21:03:59.2797220Z * [new branch] gh/jamesjwu/155/head -> origin/gh/jamesjwu/155/head 2025-08-14T21:03:59.2798109Z * [new branch] gh/jamesjwu/155/orig -> origin/gh/jamesjwu/155/orig 2025-08-14T21:03:59.2799519Z * [new branch] gh/jamesjwu/159/base -> origin/gh/jamesjwu/159/base 2025-08-14T21:03:59.2800514Z * [new branch] gh/jamesjwu/159/head -> origin/gh/jamesjwu/159/head 2025-08-14T21:03:59.2801496Z * [new branch] gh/jamesjwu/159/orig -> origin/gh/jamesjwu/159/orig 2025-08-14T21:03:59.2803144Z * [new branch] gh/jamesjwu/163/base -> origin/gh/jamesjwu/163/base 2025-08-14T21:03:59.2804131Z * [new branch] gh/jamesjwu/163/head -> origin/gh/jamesjwu/163/head 2025-08-14T21:03:59.2805095Z * [new branch] gh/jamesjwu/163/orig -> origin/gh/jamesjwu/163/orig 2025-08-14T21:03:59.2806360Z * [new branch] gh/jamesjwu/171/base -> origin/gh/jamesjwu/171/base 2025-08-14T21:03:59.2807306Z * [new branch] gh/jamesjwu/171/head -> origin/gh/jamesjwu/171/head 2025-08-14T21:03:59.2808289Z * [new branch] gh/jamesjwu/171/orig -> origin/gh/jamesjwu/171/orig 2025-08-14T21:03:59.2810224Z * [new branch] gh/jamesjwu/174/base -> origin/gh/jamesjwu/174/base 2025-08-14T21:03:59.2811201Z * [new branch] gh/jamesjwu/174/head -> origin/gh/jamesjwu/174/head 2025-08-14T21:03:59.2812097Z * [new branch] gh/jamesjwu/174/orig -> origin/gh/jamesjwu/174/orig 2025-08-14T21:03:59.2813432Z * [new branch] gh/jamesjwu/175/base -> origin/gh/jamesjwu/175/base 2025-08-14T21:03:59.2814534Z * [new branch] gh/jamesjwu/175/head -> origin/gh/jamesjwu/175/head 2025-08-14T21:03:59.2815290Z * [new branch] gh/jamesjwu/175/orig -> origin/gh/jamesjwu/175/orig 2025-08-14T21:03:59.2816731Z * [new branch] gh/jamesjwu/176/base -> origin/gh/jamesjwu/176/base 2025-08-14T21:03:59.2817746Z * [new branch] gh/jamesjwu/176/head -> origin/gh/jamesjwu/176/head 2025-08-14T21:03:59.2818763Z * [new branch] gh/jamesjwu/176/orig -> origin/gh/jamesjwu/176/orig 2025-08-14T21:03:59.2820300Z * [new branch] gh/jamesjwu/177/base -> origin/gh/jamesjwu/177/base 2025-08-14T21:03:59.2822064Z * [new branch] gh/jamesjwu/177/head -> origin/gh/jamesjwu/177/head 2025-08-14T21:03:59.2823043Z * [new branch] gh/jamesjwu/177/orig -> origin/gh/jamesjwu/177/orig 2025-08-14T21:03:59.2824543Z * [new branch] gh/jamesjwu/178/base -> origin/gh/jamesjwu/178/base 2025-08-14T21:03:59.2825514Z * [new branch] gh/jamesjwu/178/head -> origin/gh/jamesjwu/178/head 2025-08-14T21:03:59.2826613Z * [new branch] gh/jamesjwu/178/orig -> origin/gh/jamesjwu/178/orig 2025-08-14T21:03:59.2827978Z * [new branch] gh/jamesjwu/179/base -> origin/gh/jamesjwu/179/base 2025-08-14T21:03:59.2828966Z * [new branch] gh/jamesjwu/179/head -> origin/gh/jamesjwu/179/head 2025-08-14T21:03:59.2829782Z * [new branch] gh/jamesjwu/179/orig -> origin/gh/jamesjwu/179/orig 2025-08-14T21:03:59.2831189Z * [new branch] gh/jamesjwu/180/base -> origin/gh/jamesjwu/180/base 2025-08-14T21:03:59.2832145Z * [new branch] gh/jamesjwu/180/head -> origin/gh/jamesjwu/180/head 2025-08-14T21:03:59.2833156Z * [new branch] gh/jamesjwu/180/orig -> origin/gh/jamesjwu/180/orig 2025-08-14T21:03:59.2834417Z * [new branch] gh/jamesjwu/181/base -> origin/gh/jamesjwu/181/base 2025-08-14T21:03:59.2835874Z * [new branch] gh/jamesjwu/181/head -> origin/gh/jamesjwu/181/head 2025-08-14T21:03:59.2836775Z * [new branch] gh/jamesjwu/181/orig -> origin/gh/jamesjwu/181/orig 2025-08-14T21:03:59.2838244Z * [new branch] gh/jamesjwu/182/base -> origin/gh/jamesjwu/182/base 2025-08-14T21:03:59.2839112Z * [new branch] gh/jamesjwu/182/head -> origin/gh/jamesjwu/182/head 2025-08-14T21:03:59.2840219Z * [new branch] gh/jamesjwu/182/orig -> origin/gh/jamesjwu/182/orig 2025-08-14T21:03:59.2841893Z * [new branch] gh/jamesjwu/183/base -> origin/gh/jamesjwu/183/base 2025-08-14T21:03:59.2842870Z * [new branch] gh/jamesjwu/183/head -> origin/gh/jamesjwu/183/head 2025-08-14T21:03:59.2843839Z * [new branch] gh/jamesjwu/183/orig -> origin/gh/jamesjwu/183/orig 2025-08-14T21:03:59.2845177Z * [new branch] gh/jamesjwu/184/base -> origin/gh/jamesjwu/184/base 2025-08-14T21:03:59.2846135Z * [new branch] gh/jamesjwu/184/head -> origin/gh/jamesjwu/184/head 2025-08-14T21:03:59.2847126Z * [new branch] gh/jamesjwu/184/orig -> origin/gh/jamesjwu/184/orig 2025-08-14T21:03:59.2848571Z * [new branch] gh/jamesjwu/52/base -> origin/gh/jamesjwu/52/base 2025-08-14T21:03:59.2849621Z * [new branch] gh/jamesjwu/52/head -> origin/gh/jamesjwu/52/head 2025-08-14T21:03:59.2850851Z * [new branch] gh/jamesjwu/53/base -> origin/gh/jamesjwu/53/base 2025-08-14T21:03:59.2851913Z * [new branch] gh/jamesjwu/53/head -> origin/gh/jamesjwu/53/head 2025-08-14T21:03:59.2853113Z * [new branch] gh/jamesjwu/54/base -> origin/gh/jamesjwu/54/base 2025-08-14T21:03:59.2854001Z * [new branch] gh/jamesjwu/54/head -> origin/gh/jamesjwu/54/head 2025-08-14T21:03:59.2855341Z * [new branch] gh/jamesjwu/55/base -> origin/gh/jamesjwu/55/base 2025-08-14T21:03:59.2856083Z * [new branch] gh/jamesjwu/55/head -> origin/gh/jamesjwu/55/head 2025-08-14T21:03:59.2857396Z * [new branch] gh/jamesjwu/56/base -> origin/gh/jamesjwu/56/base 2025-08-14T21:03:59.2858403Z * [new branch] gh/jamesjwu/56/head -> origin/gh/jamesjwu/56/head 2025-08-14T21:03:59.2859644Z * [new branch] gh/jamesjwu/57/base -> origin/gh/jamesjwu/57/base 2025-08-14T21:03:59.2860616Z * [new branch] gh/jamesjwu/57/head -> origin/gh/jamesjwu/57/head 2025-08-14T21:03:59.2862048Z * [new branch] gh/jamesjwu/58/base -> origin/gh/jamesjwu/58/base 2025-08-14T21:03:59.2862960Z * [new branch] gh/jamesjwu/58/head -> origin/gh/jamesjwu/58/head 2025-08-14T21:03:59.2864273Z * [new branch] gh/jamesjwu/59/base -> origin/gh/jamesjwu/59/base 2025-08-14T21:03:59.2865185Z * [new branch] gh/jamesjwu/59/head -> origin/gh/jamesjwu/59/head 2025-08-14T21:03:59.2866541Z * [new branch] gh/jamesjwu/60/base -> origin/gh/jamesjwu/60/base 2025-08-14T21:03:59.2867358Z * [new branch] gh/jamesjwu/60/head -> origin/gh/jamesjwu/60/head 2025-08-14T21:03:59.2868648Z * [new branch] gh/jamesjwu/61/base -> origin/gh/jamesjwu/61/base 2025-08-14T21:03:59.2869621Z * [new branch] gh/jamesjwu/61/head -> origin/gh/jamesjwu/61/head 2025-08-14T21:03:59.2870862Z * [new branch] gh/jamesjwu/62/base -> origin/gh/jamesjwu/62/base 2025-08-14T21:03:59.2871635Z * [new branch] gh/jamesjwu/62/head -> origin/gh/jamesjwu/62/head 2025-08-14T21:03:59.2872995Z * [new branch] gh/jamesjwu/63/base -> origin/gh/jamesjwu/63/base 2025-08-14T21:03:59.2873975Z * [new branch] gh/jamesjwu/63/head -> origin/gh/jamesjwu/63/head 2025-08-14T21:03:59.2875446Z * [new branch] gh/jamesjwu/64/base -> origin/gh/jamesjwu/64/base 2025-08-14T21:03:59.2876408Z * [new branch] gh/jamesjwu/64/head -> origin/gh/jamesjwu/64/head 2025-08-14T21:03:59.2877790Z * [new branch] gh/jamesjwu/65/base -> origin/gh/jamesjwu/65/base 2025-08-14T21:03:59.2878597Z * [new branch] gh/jamesjwu/65/head -> origin/gh/jamesjwu/65/head 2025-08-14T21:03:59.2880267Z * [new branch] gh/janeyx99/165/base -> origin/gh/janeyx99/165/base 2025-08-14T21:03:59.2881310Z * [new branch] gh/janeyx99/165/head -> origin/gh/janeyx99/165/head 2025-08-14T21:03:59.2882273Z * [new branch] gh/janeyx99/165/orig -> origin/gh/janeyx99/165/orig 2025-08-14T21:03:59.2883480Z * [new branch] gh/janeyx99/201/base -> origin/gh/janeyx99/201/base 2025-08-14T21:03:59.2884465Z * [new branch] gh/janeyx99/201/head -> origin/gh/janeyx99/201/head 2025-08-14T21:03:59.2885457Z * [new branch] gh/janeyx99/201/orig -> origin/gh/janeyx99/201/orig 2025-08-14T21:03:59.2886967Z * [new branch] gh/janeyx99/225/base -> origin/gh/janeyx99/225/base 2025-08-14T21:03:59.2888147Z * [new branch] gh/janeyx99/225/head -> origin/gh/janeyx99/225/head 2025-08-14T21:03:59.2889125Z * [new branch] gh/janeyx99/225/orig -> origin/gh/janeyx99/225/orig 2025-08-14T21:03:59.2890488Z * [new branch] gh/janeyx99/256/base -> origin/gh/janeyx99/256/base 2025-08-14T21:03:59.2891507Z * [new branch] gh/janeyx99/256/head -> origin/gh/janeyx99/256/head 2025-08-14T21:03:59.2892517Z * [new branch] gh/janeyx99/256/orig -> origin/gh/janeyx99/256/orig 2025-08-14T21:03:59.2893949Z * [new branch] gh/janeyx99/268/base -> origin/gh/janeyx99/268/base 2025-08-14T21:03:59.2895087Z * [new branch] gh/janeyx99/268/head -> origin/gh/janeyx99/268/head 2025-08-14T21:03:59.2896018Z * [new branch] gh/janeyx99/268/orig -> origin/gh/janeyx99/268/orig 2025-08-14T21:03:59.2897362Z * [new branch] gh/janeyx99/269/base -> origin/gh/janeyx99/269/base 2025-08-14T21:03:59.2898059Z * [new branch] gh/janeyx99/269/head -> origin/gh/janeyx99/269/head 2025-08-14T21:03:59.2899119Z * [new branch] gh/janeyx99/269/orig -> origin/gh/janeyx99/269/orig 2025-08-14T21:03:59.2900439Z * [new branch] gh/janeyx99/274/base -> origin/gh/janeyx99/274/base 2025-08-14T21:03:59.2901448Z * [new branch] gh/janeyx99/274/head -> origin/gh/janeyx99/274/head 2025-08-14T21:03:59.2902448Z * [new branch] gh/janeyx99/274/orig -> origin/gh/janeyx99/274/orig 2025-08-14T21:03:59.2903775Z * [new branch] gh/janeyx99/276/base -> origin/gh/janeyx99/276/base 2025-08-14T21:03:59.2904833Z * [new branch] gh/janeyx99/276/head -> origin/gh/janeyx99/276/head 2025-08-14T21:03:59.2905865Z * [new branch] gh/janeyx99/276/orig -> origin/gh/janeyx99/276/orig 2025-08-14T21:03:59.2907177Z * [new branch] gh/janeyx99/277/base -> origin/gh/janeyx99/277/base 2025-08-14T21:03:59.2908240Z * [new branch] gh/janeyx99/277/head -> origin/gh/janeyx99/277/head 2025-08-14T21:03:59.2909249Z * [new branch] gh/janeyx99/277/orig -> origin/gh/janeyx99/277/orig 2025-08-14T21:03:59.2910613Z * [new branch] gh/janeyx99/278/base -> origin/gh/janeyx99/278/base 2025-08-14T21:03:59.2911697Z * [new branch] gh/janeyx99/278/head -> origin/gh/janeyx99/278/head 2025-08-14T21:03:59.2912697Z * [new branch] gh/janeyx99/278/orig -> origin/gh/janeyx99/278/orig 2025-08-14T21:03:59.2914075Z * [new branch] gh/janeyx99/279/base -> origin/gh/janeyx99/279/base 2025-08-14T21:03:59.2915035Z * [new branch] gh/janeyx99/279/head -> origin/gh/janeyx99/279/head 2025-08-14T21:03:59.2916042Z * [new branch] gh/janeyx99/279/orig -> origin/gh/janeyx99/279/orig 2025-08-14T21:03:59.2917396Z * [new branch] gh/janeyx99/280/base -> origin/gh/janeyx99/280/base 2025-08-14T21:03:59.2918291Z * [new branch] gh/janeyx99/280/head -> origin/gh/janeyx99/280/head 2025-08-14T21:03:59.2919779Z * [new branch] gh/janeyx99/280/orig -> origin/gh/janeyx99/280/orig 2025-08-14T21:03:59.2920959Z * [new branch] gh/janeyx99/281/base -> origin/gh/janeyx99/281/base 2025-08-14T21:03:59.2921931Z * [new branch] gh/janeyx99/281/head -> origin/gh/janeyx99/281/head 2025-08-14T21:03:59.2922880Z * [new branch] gh/janeyx99/281/orig -> origin/gh/janeyx99/281/orig 2025-08-14T21:03:59.2924661Z * [new branch] gh/janeyx99/282/base -> origin/gh/janeyx99/282/base 2025-08-14T21:03:59.2925672Z * [new branch] gh/janeyx99/282/head -> origin/gh/janeyx99/282/head 2025-08-14T21:03:59.2926648Z * [new branch] gh/janeyx99/282/orig -> origin/gh/janeyx99/282/orig 2025-08-14T21:03:59.2927998Z * [new branch] gh/janeyx99/283/base -> origin/gh/janeyx99/283/base 2025-08-14T21:03:59.2929096Z * [new branch] gh/janeyx99/283/head -> origin/gh/janeyx99/283/head 2025-08-14T21:03:59.2930148Z * [new branch] gh/janeyx99/283/orig -> origin/gh/janeyx99/283/orig 2025-08-14T21:03:59.2931718Z * [new branch] gh/janeyx99/284/base -> origin/gh/janeyx99/284/base 2025-08-14T21:03:59.2932918Z * [new branch] gh/janeyx99/284/head -> origin/gh/janeyx99/284/head 2025-08-14T21:03:59.2933466Z * [new branch] gh/janeyx99/284/orig -> origin/gh/janeyx99/284/orig 2025-08-14T21:03:59.2935397Z * [new branch] gh/janeyx99/285/base -> origin/gh/janeyx99/285/base 2025-08-14T21:03:59.2936192Z * [new branch] gh/janeyx99/285/head -> origin/gh/janeyx99/285/head 2025-08-14T21:03:59.2937295Z * [new branch] gh/janeyx99/285/orig -> origin/gh/janeyx99/285/orig 2025-08-14T21:03:59.2938752Z * [new branch] gh/janeyx99/286/base -> origin/gh/janeyx99/286/base 2025-08-14T21:03:59.2939740Z * [new branch] gh/janeyx99/286/head -> origin/gh/janeyx99/286/head 2025-08-14T21:03:59.2940743Z * [new branch] gh/janeyx99/286/orig -> origin/gh/janeyx99/286/orig 2025-08-14T21:03:59.2942088Z * [new branch] gh/janeyx99/287/base -> origin/gh/janeyx99/287/base 2025-08-14T21:03:59.2943191Z * [new branch] gh/janeyx99/287/head -> origin/gh/janeyx99/287/head 2025-08-14T21:03:59.2944175Z * [new branch] gh/janeyx99/287/orig -> origin/gh/janeyx99/287/orig 2025-08-14T21:03:59.2945497Z * [new branch] gh/janeyx99/288/base -> origin/gh/janeyx99/288/base 2025-08-14T21:03:59.2946661Z * [new branch] gh/janeyx99/288/head -> origin/gh/janeyx99/288/head 2025-08-14T21:03:59.2947519Z * [new branch] gh/janeyx99/288/orig -> origin/gh/janeyx99/288/orig 2025-08-14T21:03:59.2949027Z * [new branch] gh/janeyx99/289/base -> origin/gh/janeyx99/289/base 2025-08-14T21:03:59.2949988Z * [new branch] gh/janeyx99/289/head -> origin/gh/janeyx99/289/head 2025-08-14T21:03:59.2951051Z * [new branch] gh/janeyx99/289/orig -> origin/gh/janeyx99/289/orig 2025-08-14T21:03:59.2952613Z * [new branch] gh/janeyx99/290/base -> origin/gh/janeyx99/290/base 2025-08-14T21:03:59.2953549Z * [new branch] gh/janeyx99/290/head -> origin/gh/janeyx99/290/head 2025-08-14T21:03:59.2954546Z * [new branch] gh/janeyx99/290/orig -> origin/gh/janeyx99/290/orig 2025-08-14T21:03:59.2955961Z * [new branch] gh/janeyx99/291/base -> origin/gh/janeyx99/291/base 2025-08-14T21:03:59.2957034Z * [new branch] gh/janeyx99/291/head -> origin/gh/janeyx99/291/head 2025-08-14T21:03:59.2957970Z * [new branch] gh/janeyx99/291/orig -> origin/gh/janeyx99/291/orig 2025-08-14T21:03:59.2959475Z * [new branch] gh/janeyx99/292/base -> origin/gh/janeyx99/292/base 2025-08-14T21:03:59.2960890Z * [new branch] gh/janeyx99/292/head -> origin/gh/janeyx99/292/head 2025-08-14T21:03:59.2961912Z * [new branch] gh/janeyx99/292/orig -> origin/gh/janeyx99/292/orig 2025-08-14T21:03:59.2963292Z * [new branch] gh/janeyx99/293/base -> origin/gh/janeyx99/293/base 2025-08-14T21:03:59.2964289Z * [new branch] gh/janeyx99/293/head -> origin/gh/janeyx99/293/head 2025-08-14T21:03:59.2965248Z * [new branch] gh/janeyx99/293/orig -> origin/gh/janeyx99/293/orig 2025-08-14T21:03:59.2966669Z * [new branch] gh/janeyx99/294/base -> origin/gh/janeyx99/294/base 2025-08-14T21:03:59.2967646Z * [new branch] gh/janeyx99/294/head -> origin/gh/janeyx99/294/head 2025-08-14T21:03:59.2968608Z * [new branch] gh/janeyx99/294/orig -> origin/gh/janeyx99/294/orig 2025-08-14T21:03:59.2969946Z * [new branch] gh/janeyx99/295/base -> origin/gh/janeyx99/295/base 2025-08-14T21:03:59.2971032Z * [new branch] gh/janeyx99/295/head -> origin/gh/janeyx99/295/head 2025-08-14T21:03:59.2972002Z * [new branch] gh/janeyx99/295/orig -> origin/gh/janeyx99/295/orig 2025-08-14T21:03:59.2973401Z * [new branch] gh/janeyx99/296/base -> origin/gh/janeyx99/296/base 2025-08-14T21:03:59.2974381Z * [new branch] gh/janeyx99/296/head -> origin/gh/janeyx99/296/head 2025-08-14T21:03:59.2975441Z * [new branch] gh/janeyx99/296/orig -> origin/gh/janeyx99/296/orig 2025-08-14T21:03:59.2976890Z * [new branch] gh/janeyx99/297/base -> origin/gh/janeyx99/297/base 2025-08-14T21:03:59.2977875Z * [new branch] gh/janeyx99/297/head -> origin/gh/janeyx99/297/head 2025-08-14T21:03:59.2978865Z * [new branch] gh/janeyx99/297/orig -> origin/gh/janeyx99/297/orig 2025-08-14T21:03:59.2980178Z * [new branch] gh/janeyx99/298/base -> origin/gh/janeyx99/298/base 2025-08-14T21:03:59.2981136Z * [new branch] gh/janeyx99/298/head -> origin/gh/janeyx99/298/head 2025-08-14T21:03:59.2982083Z * [new branch] gh/janeyx99/298/orig -> origin/gh/janeyx99/298/orig 2025-08-14T21:03:59.2983477Z * [new branch] gh/janeyx99/299/base -> origin/gh/janeyx99/299/base 2025-08-14T21:03:59.2984515Z * [new branch] gh/janeyx99/299/head -> origin/gh/janeyx99/299/head 2025-08-14T21:03:59.2985491Z * [new branch] gh/janeyx99/299/orig -> origin/gh/janeyx99/299/orig 2025-08-14T21:03:59.2987016Z * [new branch] gh/janeyx99/300/base -> origin/gh/janeyx99/300/base 2025-08-14T21:03:59.2988034Z * [new branch] gh/janeyx99/300/head -> origin/gh/janeyx99/300/head 2025-08-14T21:03:59.2989130Z * [new branch] gh/janeyx99/300/orig -> origin/gh/janeyx99/300/orig 2025-08-14T21:03:59.2990522Z * [new branch] gh/janeyx99/88/base -> origin/gh/janeyx99/88/base 2025-08-14T21:03:59.2991526Z * [new branch] gh/janeyx99/88/head -> origin/gh/janeyx99/88/head 2025-08-14T21:03:59.2992489Z * [new branch] gh/janeyx99/88/orig -> origin/gh/janeyx99/88/orig 2025-08-14T21:03:59.2994088Z * [new branch] gh/jansel/360/base -> origin/gh/jansel/360/base 2025-08-14T21:03:59.2995058Z * [new branch] gh/jansel/360/head -> origin/gh/jansel/360/head 2025-08-14T21:03:59.2996344Z * [new branch] gh/jansel/451/base -> origin/gh/jansel/451/base 2025-08-14T21:03:59.2997504Z * [new branch] gh/jansel/451/head -> origin/gh/jansel/451/head 2025-08-14T21:03:59.2998502Z * [new branch] gh/jansel/451/orig -> origin/gh/jansel/451/orig 2025-08-14T21:03:59.2999820Z * [new branch] gh/jansel/462/base -> origin/gh/jansel/462/base 2025-08-14T21:03:59.3000809Z * [new branch] gh/jansel/462/head -> origin/gh/jansel/462/head 2025-08-14T21:03:59.3001701Z * [new branch] gh/jansel/462/orig -> origin/gh/jansel/462/orig 2025-08-14T21:03:59.3003047Z * [new branch] gh/jansel/531/base -> origin/gh/jansel/531/base 2025-08-14T21:03:59.3004017Z * [new branch] gh/jansel/531/head -> origin/gh/jansel/531/head 2025-08-14T21:03:59.3004983Z * [new branch] gh/jansel/531/orig -> origin/gh/jansel/531/orig 2025-08-14T21:03:59.3006244Z * [new branch] gh/jansel/534/base -> origin/gh/jansel/534/base 2025-08-14T21:03:59.3007174Z * [new branch] gh/jansel/534/head -> origin/gh/jansel/534/head 2025-08-14T21:03:59.3008201Z * [new branch] gh/jansel/534/orig -> origin/gh/jansel/534/orig 2025-08-14T21:03:59.3010873Z * [new branch] gh/jbschlosser/226/base -> origin/gh/jbschlosser/226/base 2025-08-14T21:03:59.3011867Z * [new branch] gh/jbschlosser/226/head -> origin/gh/jbschlosser/226/head 2025-08-14T21:03:59.3012824Z * [new branch] gh/jbschlosser/226/orig -> origin/gh/jbschlosser/226/orig 2025-08-14T21:03:59.3014294Z * [new branch] gh/jbschlosser/239/base -> origin/gh/jbschlosser/239/base 2025-08-14T21:03:59.3015279Z * [new branch] gh/jbschlosser/239/head -> origin/gh/jbschlosser/239/head 2025-08-14T21:03:59.3016419Z * [new branch] gh/jbschlosser/239/orig -> origin/gh/jbschlosser/239/orig 2025-08-14T21:03:59.3017711Z * [new branch] gh/jbschlosser/247/base -> origin/gh/jbschlosser/247/base 2025-08-14T21:03:59.3018714Z * [new branch] gh/jbschlosser/247/head -> origin/gh/jbschlosser/247/head 2025-08-14T21:03:59.3019694Z * [new branch] gh/jbschlosser/247/orig -> origin/gh/jbschlosser/247/orig 2025-08-14T21:03:59.3021016Z * [new branch] gh/jbschlosser/248/base -> origin/gh/jbschlosser/248/base 2025-08-14T21:03:59.3022006Z * [new branch] gh/jbschlosser/248/head -> origin/gh/jbschlosser/248/head 2025-08-14T21:03:59.3023013Z * [new branch] gh/jbschlosser/248/orig -> origin/gh/jbschlosser/248/orig 2025-08-14T21:03:59.3024513Z * [new branch] gh/jbschlosser/249/base -> origin/gh/jbschlosser/249/base 2025-08-14T21:03:59.3025724Z * [new branch] gh/jbschlosser/249/head -> origin/gh/jbschlosser/249/head 2025-08-14T21:03:59.3026753Z * [new branch] gh/jbschlosser/249/orig -> origin/gh/jbschlosser/249/orig 2025-08-14T21:03:59.3028201Z * [new branch] gh/jbschlosser/250/base -> origin/gh/jbschlosser/250/base 2025-08-14T21:03:59.3029199Z * [new branch] gh/jbschlosser/250/head -> origin/gh/jbschlosser/250/head 2025-08-14T21:03:59.3030172Z * [new branch] gh/jbschlosser/250/orig -> origin/gh/jbschlosser/250/orig 2025-08-14T21:03:59.3031752Z * [new branch] gh/jiayisunx/57/base -> origin/gh/jiayisunx/57/base 2025-08-14T21:03:59.3032751Z * [new branch] gh/jiayisunx/57/head -> origin/gh/jiayisunx/57/head 2025-08-14T21:03:59.3033741Z * [new branch] gh/jiayisunx/57/orig -> origin/gh/jiayisunx/57/orig 2025-08-14T21:03:59.3035039Z * [new branch] gh/jiayisunx/59/base -> origin/gh/jiayisunx/59/base 2025-08-14T21:03:59.3036022Z * [new branch] gh/jiayisunx/59/head -> origin/gh/jiayisunx/59/head 2025-08-14T21:03:59.3037028Z * [new branch] gh/jiayisunx/59/orig -> origin/gh/jiayisunx/59/orig 2025-08-14T21:03:59.3038631Z * [new branch] gh/jiayisunx/61/base -> origin/gh/jiayisunx/61/base 2025-08-14T21:03:59.3039597Z * [new branch] gh/jiayisunx/61/head -> origin/gh/jiayisunx/61/head 2025-08-14T21:03:59.3040474Z * [new branch] gh/jiayisunx/61/orig -> origin/gh/jiayisunx/61/orig 2025-08-14T21:03:59.3041882Z * [new branch] gh/jiayisunx/63/base -> origin/gh/jiayisunx/63/base 2025-08-14T21:03:59.3042840Z * [new branch] gh/jiayisunx/63/head -> origin/gh/jiayisunx/63/head 2025-08-14T21:03:59.3043861Z * [new branch] gh/jiayisunx/63/orig -> origin/gh/jiayisunx/63/orig 2025-08-14T21:03:59.3045175Z * [new branch] gh/jiayisunx/64/base -> origin/gh/jiayisunx/64/base 2025-08-14T21:03:59.3046182Z * [new branch] gh/jiayisunx/64/head -> origin/gh/jiayisunx/64/head 2025-08-14T21:03:59.3047160Z * [new branch] gh/jiayisunx/64/orig -> origin/gh/jiayisunx/64/orig 2025-08-14T21:03:59.3048892Z * [new branch] gh/jiayisunx/65/base -> origin/gh/jiayisunx/65/base 2025-08-14T21:03:59.3049887Z * [new branch] gh/jiayisunx/65/head -> origin/gh/jiayisunx/65/head 2025-08-14T21:03:59.3050850Z * [new branch] gh/jiayisunx/65/orig -> origin/gh/jiayisunx/65/orig 2025-08-14T21:03:59.3052273Z * [new branch] gh/jiayisunx/66/base -> origin/gh/jiayisunx/66/base 2025-08-14T21:03:59.3053166Z * [new branch] gh/jiayisunx/66/head -> origin/gh/jiayisunx/66/head 2025-08-14T21:03:59.3054185Z * [new branch] gh/jiayisunx/66/orig -> origin/gh/jiayisunx/66/orig 2025-08-14T21:03:59.3055540Z * [new branch] gh/jiayisunx/67/base -> origin/gh/jiayisunx/67/base 2025-08-14T21:03:59.3056581Z * [new branch] gh/jiayisunx/67/head -> origin/gh/jiayisunx/67/head 2025-08-14T21:03:59.3057594Z * [new branch] gh/jiayisunx/67/orig -> origin/gh/jiayisunx/67/orig 2025-08-14T21:03:59.3058904Z * [new branch] gh/jiayisunx/68/base -> origin/gh/jiayisunx/68/base 2025-08-14T21:03:59.3059854Z * [new branch] gh/jiayisunx/68/head -> origin/gh/jiayisunx/68/head 2025-08-14T21:03:59.3060792Z * [new branch] gh/jiayisunx/68/orig -> origin/gh/jiayisunx/68/orig 2025-08-14T21:03:59.3062241Z * [new branch] gh/jjwu@meta.com/1/base -> origin/gh/jjwu@meta.com/1/base 2025-08-14T21:03:59.3063201Z * [new branch] gh/jjwu@meta.com/1/head -> origin/gh/jjwu@meta.com/1/head 2025-08-14T21:03:59.3064864Z * [new branch] gh/justinchuby/111/base -> origin/gh/justinchuby/111/base 2025-08-14T21:03:59.3065919Z * [new branch] gh/justinchuby/111/head -> origin/gh/justinchuby/111/head 2025-08-14T21:03:59.3067012Z * [new branch] gh/justinchuby/111/orig -> origin/gh/justinchuby/111/orig 2025-08-14T21:03:59.3068633Z * [new branch] gh/kurtamohler/32/base -> origin/gh/kurtamohler/32/base 2025-08-14T21:03:59.3069618Z * [new branch] gh/kurtamohler/32/head -> origin/gh/kurtamohler/32/head 2025-08-14T21:03:59.3070577Z * [new branch] gh/kurtamohler/32/orig -> origin/gh/kurtamohler/32/orig 2025-08-14T21:03:59.3071896Z * [new branch] gh/kurtamohler/33/base -> origin/gh/kurtamohler/33/base 2025-08-14T21:03:59.3072874Z * [new branch] gh/kurtamohler/33/head -> origin/gh/kurtamohler/33/head 2025-08-14T21:03:59.3073796Z * [new branch] gh/kurtamohler/33/orig -> origin/gh/kurtamohler/33/orig 2025-08-14T21:03:59.3075585Z * [new branch] gh/kurtamohler/34/base -> origin/gh/kurtamohler/34/base 2025-08-14T21:03:59.3076882Z * [new branch] gh/kurtamohler/34/head -> origin/gh/kurtamohler/34/head 2025-08-14T21:03:59.3077882Z * [new branch] gh/kurtamohler/34/orig -> origin/gh/kurtamohler/34/orig 2025-08-14T21:03:59.3079176Z * [new branch] gh/kurtamohler/40/base -> origin/gh/kurtamohler/40/base 2025-08-14T21:03:59.3080226Z * [new branch] gh/kurtamohler/40/head -> origin/gh/kurtamohler/40/head 2025-08-14T21:03:59.3081077Z * [new branch] gh/kurtamohler/40/orig -> origin/gh/kurtamohler/40/orig 2025-08-14T21:03:59.3082505Z * [new branch] gh/kurtamohler/41/base -> origin/gh/kurtamohler/41/base 2025-08-14T21:03:59.3083308Z * [new branch] gh/kurtamohler/41/head -> origin/gh/kurtamohler/41/head 2025-08-14T21:03:59.3084373Z * [new branch] gh/kurtamohler/41/orig -> origin/gh/kurtamohler/41/orig 2025-08-14T21:03:59.3085661Z * [new branch] gh/kurtamohler/42/base -> origin/gh/kurtamohler/42/base 2025-08-14T21:03:59.3086648Z * [new branch] gh/kurtamohler/42/head -> origin/gh/kurtamohler/42/head 2025-08-14T21:03:59.3087607Z * [new branch] gh/kurtamohler/42/orig -> origin/gh/kurtamohler/42/orig 2025-08-14T21:03:59.3089270Z * [new branch] gh/kurtamohler/43/base -> origin/gh/kurtamohler/43/base 2025-08-14T21:03:59.3090339Z * [new branch] gh/kurtamohler/43/head -> origin/gh/kurtamohler/43/head 2025-08-14T21:03:59.3091353Z * [new branch] gh/kurtamohler/43/orig -> origin/gh/kurtamohler/43/orig 2025-08-14T21:03:59.3092671Z * [new branch] gh/kurtamohler/44/base -> origin/gh/kurtamohler/44/base 2025-08-14T21:03:59.3093681Z * [new branch] gh/kurtamohler/44/head -> origin/gh/kurtamohler/44/head 2025-08-14T21:03:59.3095067Z * [new branch] gh/kurtamohler/44/orig -> origin/gh/kurtamohler/44/orig 2025-08-14T21:03:59.3096508Z * [new branch] gh/kurtamohler/45/base -> origin/gh/kurtamohler/45/base 2025-08-14T21:03:59.3097260Z * [new branch] gh/kurtamohler/45/head -> origin/gh/kurtamohler/45/head 2025-08-14T21:03:59.3098333Z * [new branch] gh/kurtamohler/45/orig -> origin/gh/kurtamohler/45/orig 2025-08-14T21:03:59.3099656Z * [new branch] gh/kurtamohler/46/base -> origin/gh/kurtamohler/46/base 2025-08-14T21:03:59.3100635Z * [new branch] gh/kurtamohler/46/head -> origin/gh/kurtamohler/46/head 2025-08-14T21:03:59.3101544Z * [new branch] gh/kurtamohler/46/orig -> origin/gh/kurtamohler/46/orig 2025-08-14T21:03:59.3103365Z * [new branch] gh/kwen2501/130/base -> origin/gh/kwen2501/130/base 2025-08-14T21:03:59.3104529Z * [new branch] gh/kwen2501/130/head -> origin/gh/kwen2501/130/head 2025-08-14T21:03:59.3105559Z * [new branch] gh/kwen2501/130/orig -> origin/gh/kwen2501/130/orig 2025-08-14T21:03:59.3107041Z * [new branch] gh/kwen2501/142/base -> origin/gh/kwen2501/142/base 2025-08-14T21:03:59.3107818Z * [new branch] gh/kwen2501/142/head -> origin/gh/kwen2501/142/head 2025-08-14T21:03:59.3108922Z * [new branch] gh/kwen2501/142/orig -> origin/gh/kwen2501/142/orig 2025-08-14T21:03:59.3110238Z * [new branch] gh/kwen2501/15/base -> origin/gh/kwen2501/15/base 2025-08-14T21:03:59.3111204Z * [new branch] gh/kwen2501/15/head -> origin/gh/kwen2501/15/head 2025-08-14T21:03:59.3112523Z * [new branch] gh/kwen2501/156/base -> origin/gh/kwen2501/156/base 2025-08-14T21:03:59.3113928Z * [new branch] gh/kwen2501/156/head -> origin/gh/kwen2501/156/head 2025-08-14T21:03:59.3114542Z * [new branch] gh/kwen2501/156/orig -> origin/gh/kwen2501/156/orig 2025-08-14T21:03:59.3115636Z * [new branch] gh/kwen2501/170/base -> origin/gh/kwen2501/170/base 2025-08-14T21:03:59.3116807Z * [new branch] gh/kwen2501/170/head -> origin/gh/kwen2501/170/head 2025-08-14T21:03:59.3118116Z * [new branch] gh/kwen2501/179/base -> origin/gh/kwen2501/179/base 2025-08-14T21:03:59.3119064Z * [new branch] gh/kwen2501/179/head -> origin/gh/kwen2501/179/head 2025-08-14T21:03:59.3120552Z * [new branch] gh/kwen2501/179/orig -> origin/gh/kwen2501/179/orig 2025-08-14T21:03:59.3121874Z * [new branch] gh/kwen2501/181/base -> origin/gh/kwen2501/181/base 2025-08-14T21:03:59.3122749Z * [new branch] gh/kwen2501/181/head -> origin/gh/kwen2501/181/head 2025-08-14T21:03:59.3123869Z * [new branch] gh/kwen2501/181/orig -> origin/gh/kwen2501/181/orig 2025-08-14T21:03:59.3125285Z * [new branch] gh/kwen2501/183/base -> origin/gh/kwen2501/183/base 2025-08-14T21:03:59.3126082Z * [new branch] gh/kwen2501/183/head -> origin/gh/kwen2501/183/head 2025-08-14T21:03:59.3127201Z * [new branch] gh/kwen2501/183/orig -> origin/gh/kwen2501/183/orig 2025-08-14T21:03:59.3128387Z * [new branch] gh/kwen2501/184/base -> origin/gh/kwen2501/184/base 2025-08-14T21:03:59.3129364Z * [new branch] gh/kwen2501/184/head -> origin/gh/kwen2501/184/head 2025-08-14T21:03:59.3130444Z * [new branch] gh/kwen2501/184/orig -> origin/gh/kwen2501/184/orig 2025-08-14T21:03:59.3131958Z * [new branch] gh/kwen2501/186/base -> origin/gh/kwen2501/186/base 2025-08-14T21:03:59.3132801Z * [new branch] gh/kwen2501/186/head -> origin/gh/kwen2501/186/head 2025-08-14T21:03:59.3133789Z * [new branch] gh/kwen2501/186/orig -> origin/gh/kwen2501/186/orig 2025-08-14T21:03:59.3135125Z * [new branch] gh/kwen2501/187/base -> origin/gh/kwen2501/187/base 2025-08-14T21:03:59.3136153Z * [new branch] gh/kwen2501/187/head -> origin/gh/kwen2501/187/head 2025-08-14T21:03:59.3137026Z * [new branch] gh/kwen2501/187/orig -> origin/gh/kwen2501/187/orig 2025-08-14T21:03:59.3138489Z * [new branch] gh/kwen2501/188/base -> origin/gh/kwen2501/188/base 2025-08-14T21:03:59.3139325Z * [new branch] gh/kwen2501/188/head -> origin/gh/kwen2501/188/head 2025-08-14T21:03:59.3140349Z * [new branch] gh/kwen2501/188/orig -> origin/gh/kwen2501/188/orig 2025-08-14T21:03:59.3141817Z * [new branch] gh/kwen2501/194/base -> origin/gh/kwen2501/194/base 2025-08-14T21:03:59.3142663Z * [new branch] gh/kwen2501/194/head -> origin/gh/kwen2501/194/head 2025-08-14T21:03:59.3143790Z * [new branch] gh/kwen2501/194/orig -> origin/gh/kwen2501/194/orig 2025-08-14T21:03:59.3145352Z * [new branch] gh/kwen2501/195/base -> origin/gh/kwen2501/195/base 2025-08-14T21:03:59.3146318Z * [new branch] gh/kwen2501/195/head -> origin/gh/kwen2501/195/head 2025-08-14T21:03:59.3147275Z * [new branch] gh/kwen2501/195/orig -> origin/gh/kwen2501/195/orig 2025-08-14T21:03:59.3148701Z * [new branch] gh/kwen2501/196/base -> origin/gh/kwen2501/196/base 2025-08-14T21:03:59.3149557Z * [new branch] gh/kwen2501/196/head -> origin/gh/kwen2501/196/head 2025-08-14T21:03:59.3151125Z * [new branch] gh/kwen2501/196/orig -> origin/gh/kwen2501/196/orig 2025-08-14T21:03:59.3152414Z * [new branch] gh/kwen2501/197/base -> origin/gh/kwen2501/197/base 2025-08-14T21:03:59.3153249Z * [new branch] gh/kwen2501/197/head -> origin/gh/kwen2501/197/head 2025-08-14T21:03:59.3154206Z * [new branch] gh/kwen2501/197/orig -> origin/gh/kwen2501/197/orig 2025-08-14T21:03:59.3155602Z * [new branch] gh/kwen2501/198/base -> origin/gh/kwen2501/198/base 2025-08-14T21:03:59.3156525Z * [new branch] gh/kwen2501/198/head -> origin/gh/kwen2501/198/head 2025-08-14T21:03:59.3157563Z * [new branch] gh/kwen2501/198/orig -> origin/gh/kwen2501/198/orig 2025-08-14T21:03:59.3159753Z * [new branch] gh/kwen2501/199/base -> origin/gh/kwen2501/199/base 2025-08-14T21:03:59.3160667Z * [new branch] gh/kwen2501/199/head -> origin/gh/kwen2501/199/head 2025-08-14T21:03:59.3161675Z * [new branch] gh/kwen2501/199/orig -> origin/gh/kwen2501/199/orig 2025-08-14T21:03:59.3163092Z * [new branch] gh/kwen2501/200/base -> origin/gh/kwen2501/200/base 2025-08-14T21:03:59.3163961Z * [new branch] gh/kwen2501/200/head -> origin/gh/kwen2501/200/head 2025-08-14T21:03:59.3164927Z * [new branch] gh/kwen2501/200/orig -> origin/gh/kwen2501/200/orig 2025-08-14T21:03:59.3166366Z * [new branch] gh/kwen2501/201/base -> origin/gh/kwen2501/201/base 2025-08-14T21:03:59.3167241Z * [new branch] gh/kwen2501/201/head -> origin/gh/kwen2501/201/head 2025-08-14T21:03:59.3168186Z * [new branch] gh/kwen2501/201/orig -> origin/gh/kwen2501/201/orig 2025-08-14T21:03:59.3169610Z * [new branch] gh/kwen2501/202/base -> origin/gh/kwen2501/202/base 2025-08-14T21:03:59.3170452Z * [new branch] gh/kwen2501/202/head -> origin/gh/kwen2501/202/head 2025-08-14T21:03:59.3171537Z * [new branch] gh/kwen2501/202/orig -> origin/gh/kwen2501/202/orig 2025-08-14T21:03:59.3173098Z * [new branch] gh/kwen2501/203/base -> origin/gh/kwen2501/203/base 2025-08-14T21:03:59.3173952Z * [new branch] gh/kwen2501/203/head -> origin/gh/kwen2501/203/head 2025-08-14T21:03:59.3174965Z * [new branch] gh/kwen2501/203/orig -> origin/gh/kwen2501/203/orig 2025-08-14T21:03:59.3179884Z * [new branch] gh/laithsakka/152/base -> origin/gh/laithsakka/152/base 2025-08-14T21:03:59.3180783Z * [new branch] gh/laithsakka/152/head -> origin/gh/laithsakka/152/head 2025-08-14T21:03:59.3181760Z * [new branch] gh/laithsakka/152/orig -> origin/gh/laithsakka/152/orig 2025-08-14T21:03:59.3183345Z * [new branch] gh/laithsakka/156/base -> origin/gh/laithsakka/156/base 2025-08-14T21:03:59.3184214Z * [new branch] gh/laithsakka/156/head -> origin/gh/laithsakka/156/head 2025-08-14T21:03:59.3185192Z * [new branch] gh/laithsakka/156/orig -> origin/gh/laithsakka/156/orig 2025-08-14T21:03:59.3186780Z * [new branch] gh/laithsakka/159/base -> origin/gh/laithsakka/159/base 2025-08-14T21:03:59.3187728Z * [new branch] gh/laithsakka/159/head -> origin/gh/laithsakka/159/head 2025-08-14T21:03:59.3188706Z * [new branch] gh/laithsakka/159/orig -> origin/gh/laithsakka/159/orig 2025-08-14T21:03:59.3190359Z * [new branch] gh/laithsakka/160/base -> origin/gh/laithsakka/160/base 2025-08-14T21:03:59.3191155Z * [new branch] gh/laithsakka/160/head -> origin/gh/laithsakka/160/head 2025-08-14T21:03:59.3192122Z * [new branch] gh/laithsakka/160/orig -> origin/gh/laithsakka/160/orig 2025-08-14T21:03:59.3193666Z * [new branch] gh/laithsakka/178/base -> origin/gh/laithsakka/178/base 2025-08-14T21:03:59.3194624Z * [new branch] gh/laithsakka/178/head -> origin/gh/laithsakka/178/head 2025-08-14T21:03:59.3195601Z * [new branch] gh/laithsakka/178/orig -> origin/gh/laithsakka/178/orig 2025-08-14T21:03:59.3197052Z * [new branch] gh/laithsakka/191/base -> origin/gh/laithsakka/191/base 2025-08-14T21:03:59.3197951Z * [new branch] gh/laithsakka/191/head -> origin/gh/laithsakka/191/head 2025-08-14T21:03:59.3198885Z * [new branch] gh/laithsakka/191/orig -> origin/gh/laithsakka/191/orig 2025-08-14T21:03:59.3200308Z * [new branch] gh/laithsakka/234/base -> origin/gh/laithsakka/234/base 2025-08-14T21:03:59.3201249Z * [new branch] gh/laithsakka/234/head -> origin/gh/laithsakka/234/head 2025-08-14T21:03:59.3202235Z * [new branch] gh/laithsakka/234/orig -> origin/gh/laithsakka/234/orig 2025-08-14T21:03:59.3204071Z * [new branch] gh/laithsakka/237/base -> origin/gh/laithsakka/237/base 2025-08-14T21:03:59.3204945Z * [new branch] gh/laithsakka/237/head -> origin/gh/laithsakka/237/head 2025-08-14T21:03:59.3205946Z * [new branch] gh/laithsakka/237/orig -> origin/gh/laithsakka/237/orig 2025-08-14T21:03:59.3207426Z * [new branch] gh/laithsakka/238/base -> origin/gh/laithsakka/238/base 2025-08-14T21:03:59.3208290Z * [new branch] gh/laithsakka/238/head -> origin/gh/laithsakka/238/head 2025-08-14T21:03:59.3209286Z * [new branch] gh/laithsakka/238/orig -> origin/gh/laithsakka/238/orig 2025-08-14T21:03:59.3210744Z * [new branch] gh/laithsakka/239/base -> origin/gh/laithsakka/239/base 2025-08-14T21:03:59.3211585Z * [new branch] gh/laithsakka/239/head -> origin/gh/laithsakka/239/head 2025-08-14T21:03:59.3212514Z * [new branch] gh/laithsakka/239/orig -> origin/gh/laithsakka/239/orig 2025-08-14T21:03:59.3213911Z * [new branch] gh/laithsakka/240/base -> origin/gh/laithsakka/240/base 2025-08-14T21:03:59.3214887Z * [new branch] gh/laithsakka/240/head -> origin/gh/laithsakka/240/head 2025-08-14T21:03:59.3215837Z * [new branch] gh/laithsakka/240/orig -> origin/gh/laithsakka/240/orig 2025-08-14T21:03:59.3217559Z * [new branch] gh/laithsakka/242/base -> origin/gh/laithsakka/242/base 2025-08-14T21:03:59.3218412Z * [new branch] gh/laithsakka/242/head -> origin/gh/laithsakka/242/head 2025-08-14T21:03:59.3219463Z * [new branch] gh/laithsakka/242/orig -> origin/gh/laithsakka/242/orig 2025-08-14T21:03:59.3220855Z * [new branch] gh/laithsakka/243/base -> origin/gh/laithsakka/243/base 2025-08-14T21:03:59.3221683Z * [new branch] gh/laithsakka/243/head -> origin/gh/laithsakka/243/head 2025-08-14T21:03:59.3222650Z * [new branch] gh/laithsakka/243/orig -> origin/gh/laithsakka/243/orig 2025-08-14T21:03:59.3224072Z * [new branch] gh/laithsakka/244/base -> origin/gh/laithsakka/244/base 2025-08-14T21:03:59.3224918Z * [new branch] gh/laithsakka/244/head -> origin/gh/laithsakka/244/head 2025-08-14T21:03:59.3226004Z * [new branch] gh/laithsakka/244/orig -> origin/gh/laithsakka/244/orig 2025-08-14T21:03:59.3227558Z * [new branch] gh/laithsakka/245/base -> origin/gh/laithsakka/245/base 2025-08-14T21:03:59.3228497Z * [new branch] gh/laithsakka/245/head -> origin/gh/laithsakka/245/head 2025-08-14T21:03:59.3229459Z * [new branch] gh/laithsakka/245/orig -> origin/gh/laithsakka/245/orig 2025-08-14T21:03:59.3230911Z * [new branch] gh/laithsakka/246/base -> origin/gh/laithsakka/246/base 2025-08-14T21:03:59.3231800Z * [new branch] gh/laithsakka/246/head -> origin/gh/laithsakka/246/head 2025-08-14T21:03:59.3232779Z * [new branch] gh/laithsakka/246/orig -> origin/gh/laithsakka/246/orig 2025-08-14T21:03:59.3234610Z * [new branch] gh/laithsakka/247/base -> origin/gh/laithsakka/247/base 2025-08-14T21:03:59.3235515Z * [new branch] gh/laithsakka/247/head -> origin/gh/laithsakka/247/head 2025-08-14T21:03:59.3236468Z * [new branch] gh/laithsakka/247/orig -> origin/gh/laithsakka/247/orig 2025-08-14T21:03:59.3238371Z * [new branch] gh/laithsakka/248/base -> origin/gh/laithsakka/248/base 2025-08-14T21:03:59.3239261Z * [new branch] gh/laithsakka/248/head -> origin/gh/laithsakka/248/head 2025-08-14T21:03:59.3240225Z * [new branch] gh/laithsakka/248/orig -> origin/gh/laithsakka/248/orig 2025-08-14T21:03:59.3241766Z * [new branch] gh/laithsakka/249/base -> origin/gh/laithsakka/249/base 2025-08-14T21:03:59.3242836Z * [new branch] gh/laithsakka/249/head -> origin/gh/laithsakka/249/head 2025-08-14T21:03:59.3244060Z * [new branch] gh/laithsakka/249/orig -> origin/gh/laithsakka/249/orig 2025-08-14T21:03:59.3245121Z * [new branch] gh/laithsakka/250/base -> origin/gh/laithsakka/250/base 2025-08-14T21:03:59.3246013Z * [new branch] gh/laithsakka/250/head -> origin/gh/laithsakka/250/head 2025-08-14T21:03:59.3247029Z * [new branch] gh/laithsakka/250/orig -> origin/gh/laithsakka/250/orig 2025-08-14T21:03:59.3248491Z * [new branch] gh/laithsakka/251/base -> origin/gh/laithsakka/251/base 2025-08-14T21:03:59.3249620Z * [new branch] gh/laithsakka/251/head -> origin/gh/laithsakka/251/head 2025-08-14T21:03:59.3250331Z * [new branch] gh/laithsakka/251/orig -> origin/gh/laithsakka/251/orig 2025-08-14T21:03:59.3254188Z * [new branch] gh/laithsakka/252/base -> origin/gh/laithsakka/252/base 2025-08-14T21:03:59.3255621Z * [new branch] gh/laithsakka/252/head -> origin/gh/laithsakka/252/head 2025-08-14T21:03:59.3256216Z * [new branch] gh/laithsakka/252/orig -> origin/gh/laithsakka/252/orig 2025-08-14T21:03:59.3256800Z * [new branch] gh/laithsakka/253/base -> origin/gh/laithsakka/253/base 2025-08-14T21:03:59.3257362Z * [new branch] gh/laithsakka/253/head -> origin/gh/laithsakka/253/head 2025-08-14T21:03:59.3257945Z * [new branch] gh/laithsakka/253/orig -> origin/gh/laithsakka/253/orig 2025-08-14T21:03:59.3258600Z * [new branch] gh/laithsakka/254/base -> origin/gh/laithsakka/254/base 2025-08-14T21:03:59.3259370Z * [new branch] gh/laithsakka/254/head -> origin/gh/laithsakka/254/head 2025-08-14T21:03:59.3260330Z * [new branch] gh/laithsakka/254/orig -> origin/gh/laithsakka/254/orig 2025-08-14T21:03:59.3261785Z * [new branch] gh/laithsakka/255/base -> origin/gh/laithsakka/255/base 2025-08-14T21:03:59.3262651Z * [new branch] gh/laithsakka/255/head -> origin/gh/laithsakka/255/head 2025-08-14T21:03:59.3263648Z * [new branch] gh/laithsakka/255/orig -> origin/gh/laithsakka/255/orig 2025-08-14T21:03:59.3265098Z * [new branch] gh/laithsakka/256/base -> origin/gh/laithsakka/256/base 2025-08-14T21:03:59.3266109Z * [new branch] gh/laithsakka/256/head -> origin/gh/laithsakka/256/head 2025-08-14T21:03:59.3267135Z * [new branch] gh/laithsakka/256/orig -> origin/gh/laithsakka/256/orig 2025-08-14T21:03:59.3268636Z * [new branch] gh/laithsakka/257/base -> origin/gh/laithsakka/257/base 2025-08-14T21:03:59.3269594Z * [new branch] gh/laithsakka/257/head -> origin/gh/laithsakka/257/head 2025-08-14T21:03:59.3270580Z * [new branch] gh/laithsakka/257/orig -> origin/gh/laithsakka/257/orig 2025-08-14T21:03:59.3272052Z * [new branch] gh/laithsakka/258/base -> origin/gh/laithsakka/258/base 2025-08-14T21:03:59.3272942Z * [new branch] gh/laithsakka/258/head -> origin/gh/laithsakka/258/head 2025-08-14T21:03:59.3273920Z * [new branch] gh/laithsakka/258/orig -> origin/gh/laithsakka/258/orig 2025-08-14T21:03:59.3275425Z * [new branch] gh/laithsakka/259/base -> origin/gh/laithsakka/259/base 2025-08-14T21:03:59.3276431Z * [new branch] gh/laithsakka/259/head -> origin/gh/laithsakka/259/head 2025-08-14T21:03:59.3277479Z * [new branch] gh/laithsakka/259/orig -> origin/gh/laithsakka/259/orig 2025-08-14T21:03:59.3279025Z * [new branch] gh/laithsakka/260/base -> origin/gh/laithsakka/260/base 2025-08-14T21:03:59.3279840Z * [new branch] gh/laithsakka/260/head -> origin/gh/laithsakka/260/head 2025-08-14T21:03:59.3280821Z * [new branch] gh/laithsakka/260/orig -> origin/gh/laithsakka/260/orig 2025-08-14T21:03:59.3282305Z * [new branch] gh/laithsakka/261/base -> origin/gh/laithsakka/261/base 2025-08-14T21:03:59.3283381Z * [new branch] gh/laithsakka/261/head -> origin/gh/laithsakka/261/head 2025-08-14T21:03:59.3284302Z * [new branch] gh/laithsakka/261/orig -> origin/gh/laithsakka/261/orig 2025-08-14T21:03:59.3285655Z * [new branch] gh/laithsakka/262/base -> origin/gh/laithsakka/262/base 2025-08-14T21:03:59.3286524Z * [new branch] gh/laithsakka/262/head -> origin/gh/laithsakka/262/head 2025-08-14T21:03:59.3287528Z * [new branch] gh/laithsakka/262/orig -> origin/gh/laithsakka/262/orig 2025-08-14T21:03:59.3289182Z * [new branch] gh/laithsakka/28/base -> origin/gh/laithsakka/28/base 2025-08-14T21:03:59.3290275Z * [new branch] gh/laithsakka/29/base -> origin/gh/laithsakka/29/base 2025-08-14T21:03:59.3292070Z * [new branch] gh/laithsakka/30/base -> origin/gh/laithsakka/30/base 2025-08-14T21:03:59.3293014Z * [new branch] gh/laithsakka/30/head -> origin/gh/laithsakka/30/head 2025-08-14T21:03:59.3294415Z * [new branch] gh/laithsakka/31/base -> origin/gh/laithsakka/31/base 2025-08-14T21:03:59.3295248Z * [new branch] gh/laithsakka/31/head -> origin/gh/laithsakka/31/head 2025-08-14T21:03:59.3296698Z * [new branch] gh/laithsakka/32/base -> origin/gh/laithsakka/32/base 2025-08-14T21:03:59.3297547Z * [new branch] gh/laithsakka/32/head -> origin/gh/laithsakka/32/head 2025-08-14T21:03:59.3301256Z * [new branch] gh/lucaskabela/1/base -> origin/gh/lucaskabela/1/base 2025-08-14T21:03:59.3302048Z * [new branch] gh/lucaskabela/1/head -> origin/gh/lucaskabela/1/head 2025-08-14T21:03:59.3303585Z * [new branch] gh/lucaskabela/10/base -> origin/gh/lucaskabela/10/base 2025-08-14T21:03:59.3304461Z * [new branch] gh/lucaskabela/10/head -> origin/gh/lucaskabela/10/head 2025-08-14T21:03:59.3305468Z * [new branch] gh/lucaskabela/10/orig -> origin/gh/lucaskabela/10/orig 2025-08-14T21:03:59.3306966Z * [new branch] gh/lucaskabela/11/base -> origin/gh/lucaskabela/11/base 2025-08-14T21:03:59.3307826Z * [new branch] gh/lucaskabela/11/head -> origin/gh/lucaskabela/11/head 2025-08-14T21:03:59.3308844Z * [new branch] gh/lucaskabela/11/orig -> origin/gh/lucaskabela/11/orig 2025-08-14T21:03:59.3310273Z * [new branch] gh/lucaskabela/12/base -> origin/gh/lucaskabela/12/base 2025-08-14T21:03:59.3311149Z * [new branch] gh/lucaskabela/12/head -> origin/gh/lucaskabela/12/head 2025-08-14T21:03:59.3312120Z * [new branch] gh/lucaskabela/12/orig -> origin/gh/lucaskabela/12/orig 2025-08-14T21:03:59.3313497Z * [new branch] gh/lucaskabela/13/base -> origin/gh/lucaskabela/13/base 2025-08-14T21:03:59.3314366Z * [new branch] gh/lucaskabela/13/head -> origin/gh/lucaskabela/13/head 2025-08-14T21:03:59.3315400Z * [new branch] gh/lucaskabela/13/orig -> origin/gh/lucaskabela/13/orig 2025-08-14T21:03:59.3316654Z * [new branch] gh/lucaskabela/14/base -> origin/gh/lucaskabela/14/base 2025-08-14T21:03:59.3317529Z * [new branch] gh/lucaskabela/14/head -> origin/gh/lucaskabela/14/head 2025-08-14T21:03:59.3318531Z * [new branch] gh/lucaskabela/14/orig -> origin/gh/lucaskabela/14/orig 2025-08-14T21:03:59.3319855Z * [new branch] gh/lucaskabela/15/base -> origin/gh/lucaskabela/15/base 2025-08-14T21:03:59.3320728Z * [new branch] gh/lucaskabela/15/head -> origin/gh/lucaskabela/15/head 2025-08-14T21:03:59.3321683Z * [new branch] gh/lucaskabela/15/orig -> origin/gh/lucaskabela/15/orig 2025-08-14T21:03:59.3323108Z * [new branch] gh/lucaskabela/16/base -> origin/gh/lucaskabela/16/base 2025-08-14T21:03:59.3323949Z * [new branch] gh/lucaskabela/16/head -> origin/gh/lucaskabela/16/head 2025-08-14T21:03:59.3325013Z * [new branch] gh/lucaskabela/16/orig -> origin/gh/lucaskabela/16/orig 2025-08-14T21:03:59.3326331Z * [new branch] gh/lucaskabela/17/base -> origin/gh/lucaskabela/17/base 2025-08-14T21:03:59.3327245Z * [new branch] gh/lucaskabela/17/head -> origin/gh/lucaskabela/17/head 2025-08-14T21:03:59.3328218Z * [new branch] gh/lucaskabela/17/orig -> origin/gh/lucaskabela/17/orig 2025-08-14T21:03:59.3329690Z * [new branch] gh/lucaskabela/2/base -> origin/gh/lucaskabela/2/base 2025-08-14T21:03:59.3330566Z * [new branch] gh/lucaskabela/2/head -> origin/gh/lucaskabela/2/head 2025-08-14T21:03:59.3331490Z * [new branch] gh/lucaskabela/2/orig -> origin/gh/lucaskabela/2/orig 2025-08-14T21:03:59.3333027Z * [new branch] gh/lucaskabela/3/base -> origin/gh/lucaskabela/3/base 2025-08-14T21:03:59.3333903Z * [new branch] gh/lucaskabela/3/head -> origin/gh/lucaskabela/3/head 2025-08-14T21:03:59.3334859Z * [new branch] gh/lucaskabela/3/orig -> origin/gh/lucaskabela/3/orig 2025-08-14T21:03:59.3336293Z * [new branch] gh/lucaskabela/4/base -> origin/gh/lucaskabela/4/base 2025-08-14T21:03:59.3337200Z * [new branch] gh/lucaskabela/4/head -> origin/gh/lucaskabela/4/head 2025-08-14T21:03:59.3338273Z * [new branch] gh/lucaskabela/4/orig -> origin/gh/lucaskabela/4/orig 2025-08-14T21:03:59.3340140Z * [new branch] gh/lucaskabela/5/base -> origin/gh/lucaskabela/5/base 2025-08-14T21:03:59.3340941Z * [new branch] gh/lucaskabela/5/head -> origin/gh/lucaskabela/5/head 2025-08-14T21:03:59.3341901Z * [new branch] gh/lucaskabela/5/orig -> origin/gh/lucaskabela/5/orig 2025-08-14T21:03:59.3343337Z * [new branch] gh/lucaskabela/6/base -> origin/gh/lucaskabela/6/base 2025-08-14T21:03:59.3344202Z * [new branch] gh/lucaskabela/6/head -> origin/gh/lucaskabela/6/head 2025-08-14T21:03:59.3345090Z * [new branch] gh/lucaskabela/6/orig -> origin/gh/lucaskabela/6/orig 2025-08-14T21:03:59.3346764Z * [new branch] gh/lucaskabela/7/base -> origin/gh/lucaskabela/7/base 2025-08-14T21:03:59.3347651Z * [new branch] gh/lucaskabela/7/head -> origin/gh/lucaskabela/7/head 2025-08-14T21:03:59.3348638Z * [new branch] gh/lucaskabela/7/orig -> origin/gh/lucaskabela/7/orig 2025-08-14T21:03:59.3350103Z * [new branch] gh/lucaskabela/8/base -> origin/gh/lucaskabela/8/base 2025-08-14T21:03:59.3350938Z * [new branch] gh/lucaskabela/8/head -> origin/gh/lucaskabela/8/head 2025-08-14T21:03:59.3351863Z * [new branch] gh/lucaskabela/8/orig -> origin/gh/lucaskabela/8/orig 2025-08-14T21:03:59.3353723Z * [new branch] gh/lucaskabela/9/base -> origin/gh/lucaskabela/9/base 2025-08-14T21:03:59.3354667Z * [new branch] gh/lucaskabela/9/head -> origin/gh/lucaskabela/9/head 2025-08-14T21:03:59.3355660Z * [new branch] gh/lucaskabela/9/orig -> origin/gh/lucaskabela/9/orig 2025-08-14T21:03:59.3357341Z * [new branch] gh/lw/1/base -> origin/gh/lw/1/base 2025-08-14T21:03:59.3358293Z * [new branch] gh/lw/1/head -> origin/gh/lw/1/head 2025-08-14T21:03:59.3359264Z * [new branch] gh/lw/1/orig -> origin/gh/lw/1/orig 2025-08-14T21:03:59.3360709Z * [new branch] gh/lw/2/base -> origin/gh/lw/2/base 2025-08-14T21:03:59.3361554Z * [new branch] gh/lw/2/head -> origin/gh/lw/2/head 2025-08-14T21:03:59.3362580Z * [new branch] gh/lw/2/orig -> origin/gh/lw/2/orig 2025-08-14T21:03:59.3364088Z * [new branch] gh/lw/3/base -> origin/gh/lw/3/base 2025-08-14T21:03:59.3364927Z * [new branch] gh/lw/3/head -> origin/gh/lw/3/head 2025-08-14T21:03:59.3365873Z * [new branch] gh/lw/3/orig -> origin/gh/lw/3/orig 2025-08-14T21:03:59.3367579Z * [new branch] gh/malfet/14/base -> origin/gh/malfet/14/base 2025-08-14T21:03:59.3368948Z * [new branch] gh/malfet/330/base -> origin/gh/malfet/330/base 2025-08-14T21:03:59.3369825Z * [new branch] gh/malfet/330/head -> origin/gh/malfet/330/head 2025-08-14T21:03:59.3370786Z * [new branch] gh/malfet/330/orig -> origin/gh/malfet/330/orig 2025-08-14T21:03:59.3372221Z * [new branch] gh/malfet/396/base -> origin/gh/malfet/396/base 2025-08-14T21:03:59.3373110Z * [new branch] gh/malfet/396/head -> origin/gh/malfet/396/head 2025-08-14T21:03:59.3374133Z * [new branch] gh/malfet/396/orig -> origin/gh/malfet/396/orig 2025-08-14T21:03:59.3375631Z * [new branch] gh/malfet/397/base -> origin/gh/malfet/397/base 2025-08-14T21:03:59.3376705Z * [new branch] gh/malfet/397/head -> origin/gh/malfet/397/head 2025-08-14T21:03:59.3377666Z * [new branch] gh/malfet/397/orig -> origin/gh/malfet/397/orig 2025-08-14T21:03:59.3379085Z * [new branch] gh/malfet/398/base -> origin/gh/malfet/398/base 2025-08-14T21:03:59.3380001Z * [new branch] gh/malfet/398/head -> origin/gh/malfet/398/head 2025-08-14T21:03:59.3380840Z * [new branch] gh/malfet/398/orig -> origin/gh/malfet/398/orig 2025-08-14T21:03:59.3382287Z * [new branch] gh/malfet/399/base -> origin/gh/malfet/399/base 2025-08-14T21:03:59.3383197Z * [new branch] gh/malfet/399/head -> origin/gh/malfet/399/head 2025-08-14T21:03:59.3384169Z * [new branch] gh/malfet/399/orig -> origin/gh/malfet/399/orig 2025-08-14T21:03:59.3385516Z * [new branch] gh/malfet/414/base -> origin/gh/malfet/414/base 2025-08-14T21:03:59.3386506Z * [new branch] gh/malfet/414/head -> origin/gh/malfet/414/head 2025-08-14T21:03:59.3387475Z * [new branch] gh/malfet/414/orig -> origin/gh/malfet/414/orig 2025-08-14T21:03:59.3388976Z * [new branch] gh/malfet/417/base -> origin/gh/malfet/417/base 2025-08-14T21:03:59.3389826Z * [new branch] gh/malfet/417/head -> origin/gh/malfet/417/head 2025-08-14T21:03:59.3390801Z * [new branch] gh/malfet/417/orig -> origin/gh/malfet/417/orig 2025-08-14T21:03:59.3392265Z * [new branch] gh/malfet/418/base -> origin/gh/malfet/418/base 2025-08-14T21:03:59.3393632Z * [new branch] gh/malfet/418/head -> origin/gh/malfet/418/head 2025-08-14T21:03:59.3394502Z * [new branch] gh/malfet/418/orig -> origin/gh/malfet/418/orig 2025-08-14T21:03:59.3395931Z * [new branch] gh/malfet/422/base -> origin/gh/malfet/422/base 2025-08-14T21:03:59.3396808Z * [new branch] gh/malfet/422/head -> origin/gh/malfet/422/head 2025-08-14T21:03:59.3397787Z * [new branch] gh/malfet/422/orig -> origin/gh/malfet/422/orig 2025-08-14T21:03:59.3399196Z * [new branch] gh/malfet/438/base -> origin/gh/malfet/438/base 2025-08-14T21:03:59.3400054Z * [new branch] gh/malfet/438/head -> origin/gh/malfet/438/head 2025-08-14T21:03:59.3401069Z * [new branch] gh/malfet/438/orig -> origin/gh/malfet/438/orig 2025-08-14T21:03:59.3402536Z * [new branch] gh/malfet/439/base -> origin/gh/malfet/439/base 2025-08-14T21:03:59.3403444Z * [new branch] gh/malfet/439/head -> origin/gh/malfet/439/head 2025-08-14T21:03:59.3404439Z * [new branch] gh/malfet/439/orig -> origin/gh/malfet/439/orig 2025-08-14T21:03:59.3405903Z * [new branch] gh/malfet/440/base -> origin/gh/malfet/440/base 2025-08-14T21:03:59.3406719Z * [new branch] gh/malfet/440/head -> origin/gh/malfet/440/head 2025-08-14T21:03:59.3407799Z * [new branch] gh/malfet/440/orig -> origin/gh/malfet/440/orig 2025-08-14T21:03:59.3409609Z * [new branch] gh/malfet/441/base -> origin/gh/malfet/441/base 2025-08-14T21:03:59.3410521Z * [new branch] gh/malfet/441/head -> origin/gh/malfet/441/head 2025-08-14T21:03:59.3411527Z * [new branch] gh/malfet/441/orig -> origin/gh/malfet/441/orig 2025-08-14T21:03:59.3412965Z * [new branch] gh/malfet/442/base -> origin/gh/malfet/442/base 2025-08-14T21:03:59.3413833Z * [new branch] gh/malfet/442/head -> origin/gh/malfet/442/head 2025-08-14T21:03:59.3414905Z * [new branch] gh/malfet/442/orig -> origin/gh/malfet/442/orig 2025-08-14T21:03:59.3416351Z * [new branch] gh/malfet/443/base -> origin/gh/malfet/443/base 2025-08-14T21:03:59.3417224Z * [new branch] gh/malfet/443/head -> origin/gh/malfet/443/head 2025-08-14T21:03:59.3418190Z * [new branch] gh/malfet/443/orig -> origin/gh/malfet/443/orig 2025-08-14T21:03:59.3419799Z * [new branch] gh/malfet/444/base -> origin/gh/malfet/444/base 2025-08-14T21:03:59.3420597Z * [new branch] gh/malfet/444/head -> origin/gh/malfet/444/head 2025-08-14T21:03:59.3421630Z * [new branch] gh/malfet/444/orig -> origin/gh/malfet/444/orig 2025-08-14T21:03:59.3423437Z * [new branch] gh/malfet/445/base -> origin/gh/malfet/445/base 2025-08-14T21:03:59.3424344Z * [new branch] gh/malfet/445/head -> origin/gh/malfet/445/head 2025-08-14T21:03:59.3425327Z * [new branch] gh/malfet/445/orig -> origin/gh/malfet/445/orig 2025-08-14T21:03:59.3426879Z * [new branch] gh/malfet/446/base -> origin/gh/malfet/446/base 2025-08-14T21:03:59.3427799Z * [new branch] gh/malfet/446/head -> origin/gh/malfet/446/head 2025-08-14T21:03:59.3429218Z * [new branch] gh/malfet/446/orig -> origin/gh/malfet/446/orig 2025-08-14T21:03:59.3430799Z * [new branch] gh/malfet/447/base -> origin/gh/malfet/447/base 2025-08-14T21:03:59.3431631Z * [new branch] gh/malfet/447/head -> origin/gh/malfet/447/head 2025-08-14T21:03:59.3433072Z * [new branch] gh/malfet/448/base -> origin/gh/malfet/448/base 2025-08-14T21:03:59.3433966Z * [new branch] gh/malfet/448/head -> origin/gh/malfet/448/head 2025-08-14T21:03:59.3435340Z * [new branch] gh/malfet/449/base -> origin/gh/malfet/449/base 2025-08-14T21:03:59.3436185Z * [new branch] gh/malfet/449/head -> origin/gh/malfet/449/head 2025-08-14T21:03:59.3437589Z * [new branch] gh/malfet/450/base -> origin/gh/malfet/450/base 2025-08-14T21:03:59.3438422Z * [new branch] gh/malfet/450/head -> origin/gh/malfet/450/head 2025-08-14T21:03:59.3439806Z * [new branch] gh/malfet/451/base -> origin/gh/malfet/451/base 2025-08-14T21:03:59.3440678Z * [new branch] gh/malfet/451/head -> origin/gh/malfet/451/head 2025-08-14T21:03:59.3442128Z * [new branch] gh/malfet/452/base -> origin/gh/malfet/452/base 2025-08-14T21:03:59.3443042Z * [new branch] gh/malfet/452/head -> origin/gh/malfet/452/head 2025-08-14T21:03:59.3443989Z * [new branch] gh/malfet/452/orig -> origin/gh/malfet/452/orig 2025-08-14T21:03:59.3445425Z * [new branch] gh/malfet/453/base -> origin/gh/malfet/453/base 2025-08-14T21:03:59.3446274Z * [new branch] gh/malfet/453/head -> origin/gh/malfet/453/head 2025-08-14T21:03:59.3447266Z * [new branch] gh/malfet/453/orig -> origin/gh/malfet/453/orig 2025-08-14T21:03:59.3448692Z * [new branch] gh/malfet/454/base -> origin/gh/malfet/454/base 2025-08-14T21:03:59.3449500Z * [new branch] gh/malfet/454/head -> origin/gh/malfet/454/head 2025-08-14T21:03:59.3450439Z * [new branch] gh/malfet/454/orig -> origin/gh/malfet/454/orig 2025-08-14T21:03:59.3451799Z * [new branch] gh/malfet/455/base -> origin/gh/malfet/455/base 2025-08-14T21:03:59.3452706Z * [new branch] gh/malfet/455/head -> origin/gh/malfet/455/head 2025-08-14T21:03:59.3453681Z * [new branch] gh/malfet/455/orig -> origin/gh/malfet/455/orig 2025-08-14T21:03:59.3455142Z * [new branch] gh/malfet/456/base -> origin/gh/malfet/456/base 2025-08-14T21:03:59.3456059Z * [new branch] gh/malfet/456/head -> origin/gh/malfet/456/head 2025-08-14T21:03:59.3457054Z * [new branch] gh/malfet/456/orig -> origin/gh/malfet/456/orig 2025-08-14T21:03:59.3458577Z * [new branch] gh/malfet/457/base -> origin/gh/malfet/457/base 2025-08-14T21:03:59.3459415Z * [new branch] gh/malfet/457/head -> origin/gh/malfet/457/head 2025-08-14T21:03:59.3460443Z * [new branch] gh/malfet/457/orig -> origin/gh/malfet/457/orig 2025-08-14T21:03:59.3461904Z * [new branch] gh/malfet/458/base -> origin/gh/malfet/458/base 2025-08-14T21:03:59.3462773Z * [new branch] gh/malfet/458/head -> origin/gh/malfet/458/head 2025-08-14T21:03:59.3463773Z * [new branch] gh/malfet/458/orig -> origin/gh/malfet/458/orig 2025-08-14T21:03:59.3465213Z * [new branch] gh/malfet/459/base -> origin/gh/malfet/459/base 2025-08-14T21:03:59.3466152Z * [new branch] gh/malfet/459/head -> origin/gh/malfet/459/head 2025-08-14T21:03:59.3467203Z * [new branch] gh/malfet/459/orig -> origin/gh/malfet/459/orig 2025-08-14T21:03:59.3468570Z * [new branch] gh/malfet/460/base -> origin/gh/malfet/460/base 2025-08-14T21:03:59.3469522Z * [new branch] gh/malfet/460/head -> origin/gh/malfet/460/head 2025-08-14T21:03:59.3470558Z * [new branch] gh/malfet/460/orig -> origin/gh/malfet/460/orig 2025-08-14T21:03:59.3472021Z * [new branch] gh/malfet/461/base -> origin/gh/malfet/461/base 2025-08-14T21:03:59.3472879Z * [new branch] gh/malfet/461/head -> origin/gh/malfet/461/head 2025-08-14T21:03:59.3473830Z * [new branch] gh/malfet/461/orig -> origin/gh/malfet/461/orig 2025-08-14T21:03:59.3475233Z * [new branch] gh/malfet/462/base -> origin/gh/malfet/462/base 2025-08-14T21:03:59.3476209Z * [new branch] gh/malfet/462/head -> origin/gh/malfet/462/head 2025-08-14T21:03:59.3477226Z * [new branch] gh/malfet/462/orig -> origin/gh/malfet/462/orig 2025-08-14T21:03:59.3478662Z * [new branch] gh/malfet/463/base -> origin/gh/malfet/463/base 2025-08-14T21:03:59.3479505Z * [new branch] gh/malfet/463/head -> origin/gh/malfet/463/head 2025-08-14T21:03:59.3480500Z * [new branch] gh/malfet/463/orig -> origin/gh/malfet/463/orig 2025-08-14T21:03:59.3481842Z * [new branch] gh/malfet/464/base -> origin/gh/malfet/464/base 2025-08-14T21:03:59.3497115Z * [new branch] gh/malfet/464/head -> origin/gh/malfet/464/head 2025-08-14T21:03:59.3497672Z * [new branch] gh/malfet/464/orig -> origin/gh/malfet/464/orig 2025-08-14T21:03:59.3498381Z * [new branch] gh/malfet/465/base -> origin/gh/malfet/465/base 2025-08-14T21:03:59.3498911Z * [new branch] gh/malfet/465/head -> origin/gh/malfet/465/head 2025-08-14T21:03:59.3499448Z * [new branch] gh/malfet/465/orig -> origin/gh/malfet/465/orig 2025-08-14T21:03:59.3499978Z * [new branch] gh/malfet/466/base -> origin/gh/malfet/466/base 2025-08-14T21:03:59.3500507Z * [new branch] gh/malfet/466/head -> origin/gh/malfet/466/head 2025-08-14T21:03:59.3501045Z * [new branch] gh/malfet/466/orig -> origin/gh/malfet/466/orig 2025-08-14T21:03:59.3501561Z * [new branch] gh/malfet/467/base -> origin/gh/malfet/467/base 2025-08-14T21:03:59.3502090Z * [new branch] gh/malfet/467/head -> origin/gh/malfet/467/head 2025-08-14T21:03:59.3502626Z * [new branch] gh/malfet/467/orig -> origin/gh/malfet/467/orig 2025-08-14T21:03:59.3503153Z * [new branch] gh/malfet/468/base -> origin/gh/malfet/468/base 2025-08-14T21:03:59.3503667Z * [new branch] gh/malfet/468/head -> origin/gh/malfet/468/head 2025-08-14T21:03:59.3504193Z * [new branch] gh/malfet/468/orig -> origin/gh/malfet/468/orig 2025-08-14T21:03:59.3504720Z * [new branch] gh/malfet/469/base -> origin/gh/malfet/469/base 2025-08-14T21:03:59.3505255Z * [new branch] gh/malfet/469/head -> origin/gh/malfet/469/head 2025-08-14T21:03:59.3505952Z * [new branch] gh/malfet/469/orig -> origin/gh/malfet/469/orig 2025-08-14T21:03:59.3506488Z * [new branch] gh/malfet/470/base -> origin/gh/malfet/470/base 2025-08-14T21:03:59.3507018Z * [new branch] gh/malfet/470/head -> origin/gh/malfet/470/head 2025-08-14T21:03:59.3507539Z * [new branch] gh/malfet/470/orig -> origin/gh/malfet/470/orig 2025-08-14T21:03:59.3508071Z * [new branch] gh/malfet/471/base -> origin/gh/malfet/471/base 2025-08-14T21:03:59.3508599Z * [new branch] gh/malfet/471/head -> origin/gh/malfet/471/head 2025-08-14T21:03:59.3509129Z * [new branch] gh/malfet/471/orig -> origin/gh/malfet/471/orig 2025-08-14T21:03:59.3509658Z * [new branch] gh/malfet/472/base -> origin/gh/malfet/472/base 2025-08-14T21:03:59.3510614Z * [new branch] gh/malfet/472/head -> origin/gh/malfet/472/head 2025-08-14T21:03:59.3511556Z * [new branch] gh/malfet/472/orig -> origin/gh/malfet/472/orig 2025-08-14T21:03:59.3512941Z * [new branch] gh/malfet/473/base -> origin/gh/malfet/473/base 2025-08-14T21:03:59.3513801Z * [new branch] gh/malfet/473/head -> origin/gh/malfet/473/head 2025-08-14T21:03:59.3514760Z * [new branch] gh/malfet/473/orig -> origin/gh/malfet/473/orig 2025-08-14T21:03:59.3516128Z * [new branch] gh/malfet/474/base -> origin/gh/malfet/474/base 2025-08-14T21:03:59.3517014Z * [new branch] gh/malfet/474/head -> origin/gh/malfet/474/head 2025-08-14T21:03:59.3518015Z * [new branch] gh/malfet/474/orig -> origin/gh/malfet/474/orig 2025-08-14T21:03:59.3519417Z * [new branch] gh/malfet/475/base -> origin/gh/malfet/475/base 2025-08-14T21:03:59.3520361Z * [new branch] gh/malfet/475/head -> origin/gh/malfet/475/head 2025-08-14T21:03:59.3521361Z * [new branch] gh/malfet/475/orig -> origin/gh/malfet/475/orig 2025-08-14T21:03:59.3522782Z * [new branch] gh/malfet/476/base -> origin/gh/malfet/476/base 2025-08-14T21:03:59.3523817Z * [new branch] gh/malfet/476/head -> origin/gh/malfet/476/head 2025-08-14T21:03:59.3524827Z * [new branch] gh/malfet/476/orig -> origin/gh/malfet/476/orig 2025-08-14T21:03:59.3526614Z * [new branch] gh/malfet/477/base -> origin/gh/malfet/477/base 2025-08-14T21:03:59.3527535Z * [new branch] gh/malfet/477/head -> origin/gh/malfet/477/head 2025-08-14T21:03:59.3528580Z * [new branch] gh/malfet/477/orig -> origin/gh/malfet/477/orig 2025-08-14T21:03:59.3529850Z * [new branch] gh/malfet/478/base -> origin/gh/malfet/478/base 2025-08-14T21:03:59.3530741Z * [new branch] gh/malfet/478/head -> origin/gh/malfet/478/head 2025-08-14T21:03:59.3531772Z * [new branch] gh/malfet/478/orig -> origin/gh/malfet/478/orig 2025-08-14T21:03:59.3533060Z * [new branch] gh/malfet/479/base -> origin/gh/malfet/479/base 2025-08-14T21:03:59.3533989Z * [new branch] gh/malfet/479/head -> origin/gh/malfet/479/head 2025-08-14T21:03:59.3534969Z * [new branch] gh/malfet/479/orig -> origin/gh/malfet/479/orig 2025-08-14T21:03:59.3536404Z * [new branch] gh/malfet/480/base -> origin/gh/malfet/480/base 2025-08-14T21:03:59.3537390Z * [new branch] gh/malfet/480/head -> origin/gh/malfet/480/head 2025-08-14T21:03:59.3538373Z * [new branch] gh/malfet/480/orig -> origin/gh/malfet/480/orig 2025-08-14T21:03:59.3540175Z * [new branch] gh/malfet/481/base -> origin/gh/malfet/481/base 2025-08-14T21:03:59.3541165Z * [new branch] gh/malfet/481/head -> origin/gh/malfet/481/head 2025-08-14T21:03:59.3542090Z * [new branch] gh/malfet/481/orig -> origin/gh/malfet/481/orig 2025-08-14T21:03:59.3543467Z * [new branch] gh/malfet/482/base -> origin/gh/malfet/482/base 2025-08-14T21:03:59.3544321Z * [new branch] gh/malfet/482/head -> origin/gh/malfet/482/head 2025-08-14T21:03:59.3545339Z * [new branch] gh/malfet/482/orig -> origin/gh/malfet/482/orig 2025-08-14T21:03:59.3546897Z * [new branch] gh/malfet/483/base -> origin/gh/malfet/483/base 2025-08-14T21:03:59.3547799Z * [new branch] gh/malfet/483/head -> origin/gh/malfet/483/head 2025-08-14T21:03:59.3548748Z * [new branch] gh/malfet/483/orig -> origin/gh/malfet/483/orig 2025-08-14T21:03:59.3550163Z * [new branch] gh/malfet/484/base -> origin/gh/malfet/484/base 2025-08-14T21:03:59.3551143Z * [new branch] gh/malfet/484/head -> origin/gh/malfet/484/head 2025-08-14T21:03:59.3552142Z * [new branch] gh/malfet/484/orig -> origin/gh/malfet/484/orig 2025-08-14T21:03:59.3553495Z * [new branch] gh/malfet/485/base -> origin/gh/malfet/485/base 2025-08-14T21:03:59.3554391Z * [new branch] gh/malfet/485/head -> origin/gh/malfet/485/head 2025-08-14T21:03:59.3555431Z * [new branch] gh/malfet/485/orig -> origin/gh/malfet/485/orig 2025-08-14T21:03:59.3556909Z * [new branch] gh/malfet/486/base -> origin/gh/malfet/486/base 2025-08-14T21:03:59.3557764Z * [new branch] gh/malfet/486/head -> origin/gh/malfet/486/head 2025-08-14T21:03:59.3558766Z * [new branch] gh/malfet/486/orig -> origin/gh/malfet/486/orig 2025-08-14T21:03:59.3560139Z * [new branch] gh/malfet/487/base -> origin/gh/malfet/487/base 2025-08-14T21:03:59.3561020Z * [new branch] gh/malfet/487/head -> origin/gh/malfet/487/head 2025-08-14T21:03:59.3562000Z * [new branch] gh/malfet/487/orig -> origin/gh/malfet/487/orig 2025-08-14T21:03:59.3563405Z * [new branch] gh/malfet/488/base -> origin/gh/malfet/488/base 2025-08-14T21:03:59.3564401Z * [new branch] gh/malfet/488/head -> origin/gh/malfet/488/head 2025-08-14T21:03:59.3565326Z * [new branch] gh/malfet/488/orig -> origin/gh/malfet/488/orig 2025-08-14T21:03:59.3566995Z * [new branch] gh/malfet/489/base -> origin/gh/malfet/489/base 2025-08-14T21:03:59.3567877Z * [new branch] gh/malfet/489/head -> origin/gh/malfet/489/head 2025-08-14T21:03:59.3569163Z * [new branch] gh/malfet/489/orig -> origin/gh/malfet/489/orig 2025-08-14T21:03:59.3570465Z * [new branch] gh/malfet/490/base -> origin/gh/malfet/490/base 2025-08-14T21:03:59.3571331Z * [new branch] gh/malfet/490/head -> origin/gh/malfet/490/head 2025-08-14T21:03:59.3572338Z * [new branch] gh/malfet/490/orig -> origin/gh/malfet/490/orig 2025-08-14T21:03:59.3573800Z * [new branch] gh/malfet/64/base -> origin/gh/malfet/64/base 2025-08-14T21:03:59.3574649Z * [new branch] gh/malfet/64/head -> origin/gh/malfet/64/head 2025-08-14T21:03:59.3576720Z * [new branch] gh/manuelcandales/10/base -> origin/gh/manuelcandales/10/base 2025-08-14T21:03:59.3577579Z * [new branch] gh/manuelcandales/10/head -> origin/gh/manuelcandales/10/head 2025-08-14T21:03:59.3578607Z * [new branch] gh/manuelcandales/10/orig -> origin/gh/manuelcandales/10/orig 2025-08-14T21:03:59.3579956Z * [new branch] gh/manuelcandales/9/base -> origin/gh/manuelcandales/9/base 2025-08-14T21:03:59.3580868Z * [new branch] gh/manuelcandales/9/head -> origin/gh/manuelcandales/9/head 2025-08-14T21:03:59.3581926Z * [new branch] gh/manuelcandales/9/orig -> origin/gh/manuelcandales/9/orig 2025-08-14T21:03:59.3583625Z * [new branch] gh/markkm/1/base -> origin/gh/markkm/1/base 2025-08-14T21:03:59.3585295Z * [new branch] gh/masnesral/204/base -> origin/gh/masnesral/204/base 2025-08-14T21:03:59.3586465Z * [new branch] gh/masnesral/204/head -> origin/gh/masnesral/204/head 2025-08-14T21:03:59.3587546Z * [new branch] gh/masnesral/204/orig -> origin/gh/masnesral/204/orig 2025-08-14T21:03:59.3589089Z * [new branch] gh/masnesral/223/base -> origin/gh/masnesral/223/base 2025-08-14T21:03:59.3590171Z * [new branch] gh/masnesral/223/head -> origin/gh/masnesral/223/head 2025-08-14T21:03:59.3591657Z * [new branch] gh/masnesral/223/orig -> origin/gh/masnesral/223/orig 2025-08-14T21:03:59.3592906Z * [new branch] gh/masnesral/224/base -> origin/gh/masnesral/224/base 2025-08-14T21:03:59.3593806Z * [new branch] gh/masnesral/224/head -> origin/gh/masnesral/224/head 2025-08-14T21:03:59.3594854Z * [new branch] gh/masnesral/224/orig -> origin/gh/masnesral/224/orig 2025-08-14T21:03:59.3595997Z * [new branch] gh/masnesral/225/base -> origin/gh/masnesral/225/base 2025-08-14T21:03:59.3597008Z * [new branch] gh/masnesral/225/head -> origin/gh/masnesral/225/head 2025-08-14T21:03:59.3598064Z * [new branch] gh/masnesral/225/orig -> origin/gh/masnesral/225/orig 2025-08-14T21:03:59.3599437Z * [new branch] gh/masnesral/226/base -> origin/gh/masnesral/226/base 2025-08-14T21:03:59.3600388Z * [new branch] gh/masnesral/226/head -> origin/gh/masnesral/226/head 2025-08-14T21:03:59.3601335Z * [new branch] gh/masnesral/226/orig -> origin/gh/masnesral/226/orig 2025-08-14T21:03:59.3602795Z * [new branch] gh/masnesral/227/base -> origin/gh/masnesral/227/base 2025-08-14T21:03:59.3604369Z * [new branch] gh/masnesral/227/head -> origin/gh/masnesral/227/head 2025-08-14T21:03:59.3605339Z * [new branch] gh/masnesral/227/orig -> origin/gh/masnesral/227/orig 2025-08-14T21:03:59.3606701Z * [new branch] gh/masnesral/228/base -> origin/gh/masnesral/228/base 2025-08-14T21:03:59.3607667Z * [new branch] gh/masnesral/228/head -> origin/gh/masnesral/228/head 2025-08-14T21:03:59.3608628Z * [new branch] gh/masnesral/228/orig -> origin/gh/masnesral/228/orig 2025-08-14T21:03:59.3610159Z * [new branch] gh/masnesral/229/base -> origin/gh/masnesral/229/base 2025-08-14T21:03:59.3611131Z * [new branch] gh/masnesral/229/head -> origin/gh/masnesral/229/head 2025-08-14T21:03:59.3612155Z * [new branch] gh/masnesral/229/orig -> origin/gh/masnesral/229/orig 2025-08-14T21:03:59.3613413Z * [new branch] gh/masnesral/230/base -> origin/gh/masnesral/230/base 2025-08-14T21:03:59.3614380Z * [new branch] gh/masnesral/230/head -> origin/gh/masnesral/230/head 2025-08-14T21:03:59.3615475Z * [new branch] gh/masnesral/230/orig -> origin/gh/masnesral/230/orig 2025-08-14T21:03:59.3616935Z * [new branch] gh/masnesral/231/base -> origin/gh/masnesral/231/base 2025-08-14T21:03:59.3618003Z * [new branch] gh/masnesral/231/head -> origin/gh/masnesral/231/head 2025-08-14T21:03:59.3619018Z * [new branch] gh/masnesral/231/orig -> origin/gh/masnesral/231/orig 2025-08-14T21:03:59.3620531Z * [new branch] gh/masnesral/232/base -> origin/gh/masnesral/232/base 2025-08-14T21:03:59.3621532Z * [new branch] gh/masnesral/232/head -> origin/gh/masnesral/232/head 2025-08-14T21:03:59.3622600Z * [new branch] gh/masnesral/232/orig -> origin/gh/masnesral/232/orig 2025-08-14T21:03:59.3624372Z * [new branch] gh/masnesral/233/base -> origin/gh/masnesral/233/base 2025-08-14T21:03:59.3625370Z * [new branch] gh/masnesral/233/head -> origin/gh/masnesral/233/head 2025-08-14T21:03:59.3626469Z * [new branch] gh/masnesral/233/orig -> origin/gh/masnesral/233/orig 2025-08-14T21:03:59.3627926Z * [new branch] gh/masnesral/234/base -> origin/gh/masnesral/234/base 2025-08-14T21:03:59.3628873Z * [new branch] gh/masnesral/234/head -> origin/gh/masnesral/234/head 2025-08-14T21:03:59.3629908Z * [new branch] gh/masnesral/234/orig -> origin/gh/masnesral/234/orig 2025-08-14T21:03:59.3631348Z * [new branch] gh/masnesral/235/base -> origin/gh/masnesral/235/base 2025-08-14T21:03:59.3632380Z * [new branch] gh/masnesral/235/head -> origin/gh/masnesral/235/head 2025-08-14T21:03:59.3633379Z * [new branch] gh/masnesral/235/orig -> origin/gh/masnesral/235/orig 2025-08-14T21:03:59.3634761Z * [new branch] gh/masnesral/236/base -> origin/gh/masnesral/236/base 2025-08-14T21:03:59.3635715Z * [new branch] gh/masnesral/236/head -> origin/gh/masnesral/236/head 2025-08-14T21:03:59.3636677Z * [new branch] gh/masnesral/236/orig -> origin/gh/masnesral/236/orig 2025-08-14T21:03:59.3638132Z * [new branch] gh/masnesral/34/base -> origin/gh/masnesral/34/base 2025-08-14T21:03:59.3639750Z * [new branch] gh/mhorowitz/0/base -> origin/gh/mhorowitz/0/base 2025-08-14T21:03:59.3640746Z * [new branch] gh/mhorowitz/0/head -> origin/gh/mhorowitz/0/head 2025-08-14T21:03:59.3642001Z * [new branch] gh/mhorowitz/1/base -> origin/gh/mhorowitz/1/base 2025-08-14T21:03:59.3642897Z * [new branch] gh/mhorowitz/1/head -> origin/gh/mhorowitz/1/head 2025-08-14T21:03:59.3644251Z * [new branch] gh/mhorowitz/2/base -> origin/gh/mhorowitz/2/base 2025-08-14T21:03:59.3645164Z * [new branch] gh/mhorowitz/2/head -> origin/gh/mhorowitz/2/head 2025-08-14T21:03:59.3646402Z * [new branch] gh/mhorowitz/3/base -> origin/gh/mhorowitz/3/base 2025-08-14T21:03:59.3647232Z * [new branch] gh/mhorowitz/3/head -> origin/gh/mhorowitz/3/head 2025-08-14T21:03:59.3648478Z * [new branch] gh/mhorowitz/4/base -> origin/gh/mhorowitz/4/base 2025-08-14T21:03:59.3649349Z * [new branch] gh/mhorowitz/4/head -> origin/gh/mhorowitz/4/head 2025-08-14T21:03:59.3650604Z * [new branch] gh/mhorowitz/5/base -> origin/gh/mhorowitz/5/base 2025-08-14T21:03:59.3651408Z * [new branch] gh/mhorowitz/5/head -> origin/gh/mhorowitz/5/head 2025-08-14T21:03:59.3652661Z * [new branch] gh/mhorowitz/6/base -> origin/gh/mhorowitz/6/base 2025-08-14T21:03:59.3653479Z * [new branch] gh/mhorowitz/6/head -> origin/gh/mhorowitz/6/head 2025-08-14T21:03:59.3655353Z * [new branch] gh/mikaylagawarecki/234/base -> origin/gh/mikaylagawarecki/234/base 2025-08-14T21:03:59.3656304Z * [new branch] gh/mikaylagawarecki/234/head -> origin/gh/mikaylagawarecki/234/head 2025-08-14T21:03:59.3657662Z * [new branch] gh/mikaylagawarecki/235/base -> origin/gh/mikaylagawarecki/235/base 2025-08-14T21:03:59.3658510Z * [new branch] gh/mikaylagawarecki/235/head -> origin/gh/mikaylagawarecki/235/head 2025-08-14T21:03:59.3660225Z * [new branch] gh/mikaylagawarecki/236/base -> origin/gh/mikaylagawarecki/236/base 2025-08-14T21:03:59.3661076Z * [new branch] gh/mikaylagawarecki/236/head -> origin/gh/mikaylagawarecki/236/head 2025-08-14T21:03:59.3662284Z * [new branch] gh/mikaylagawarecki/237/base -> origin/gh/mikaylagawarecki/237/base 2025-08-14T21:03:59.3663768Z * [new branch] gh/mikaylagawarecki/237/head -> origin/gh/mikaylagawarecki/237/head 2025-08-14T21:03:59.3664966Z * [new branch] gh/mikaylagawarecki/238/base -> origin/gh/mikaylagawarecki/238/base 2025-08-14T21:03:59.3666588Z * [new branch] gh/mikaylagawarecki/238/head -> origin/gh/mikaylagawarecki/238/head 2025-08-14T21:03:59.3668033Z * [new branch] gh/mikaylagawarecki/313/base -> origin/gh/mikaylagawarecki/313/base 2025-08-14T21:03:59.3668970Z * [new branch] gh/mikaylagawarecki/313/head -> origin/gh/mikaylagawarecki/313/head 2025-08-14T21:03:59.3669969Z * [new branch] gh/mikaylagawarecki/313/orig -> origin/gh/mikaylagawarecki/313/orig 2025-08-14T21:03:59.3671779Z * [new branch] gh/mikaylagawarecki/317/base -> origin/gh/mikaylagawarecki/317/base 2025-08-14T21:03:59.3672674Z * [new branch] gh/mikaylagawarecki/317/head -> origin/gh/mikaylagawarecki/317/head 2025-08-14T21:03:59.3673687Z * [new branch] gh/mikaylagawarecki/317/orig -> origin/gh/mikaylagawarecki/317/orig 2025-08-14T21:03:59.3675095Z * [new branch] gh/mikaylagawarecki/318/base -> origin/gh/mikaylagawarecki/318/base 2025-08-14T21:03:59.3676103Z * [new branch] gh/mikaylagawarecki/318/head -> origin/gh/mikaylagawarecki/318/head 2025-08-14T21:03:59.3680460Z * [new branch] gh/mikaylagawarecki/318/orig -> origin/gh/mikaylagawarecki/318/orig 2025-08-14T21:03:59.3681914Z * [new branch] gh/mikaylagawarecki/319/base -> origin/gh/mikaylagawarecki/319/base 2025-08-14T21:03:59.3682765Z * [new branch] gh/mikaylagawarecki/319/head -> origin/gh/mikaylagawarecki/319/head 2025-08-14T21:03:59.3683742Z * [new branch] gh/mikaylagawarecki/319/orig -> origin/gh/mikaylagawarecki/319/orig 2025-08-14T21:03:59.3685139Z * [new branch] gh/mikaylagawarecki/320/base -> origin/gh/mikaylagawarecki/320/base 2025-08-14T21:03:59.3686143Z * [new branch] gh/mikaylagawarecki/320/head -> origin/gh/mikaylagawarecki/320/head 2025-08-14T21:03:59.3687151Z * [new branch] gh/mikaylagawarecki/320/orig -> origin/gh/mikaylagawarecki/320/orig 2025-08-14T21:03:59.3688803Z * [new branch] gh/mikaylagawarecki/321/base -> origin/gh/mikaylagawarecki/321/base 2025-08-14T21:03:59.3689677Z * [new branch] gh/mikaylagawarecki/321/head -> origin/gh/mikaylagawarecki/321/head 2025-08-14T21:03:59.3690685Z * [new branch] gh/mikaylagawarecki/321/orig -> origin/gh/mikaylagawarecki/321/orig 2025-08-14T21:03:59.3692190Z * [new branch] gh/mikaylagawarecki/322/base -> origin/gh/mikaylagawarecki/322/base 2025-08-14T21:03:59.3693041Z * [new branch] gh/mikaylagawarecki/322/head -> origin/gh/mikaylagawarecki/322/head 2025-08-14T21:03:59.3693990Z * [new branch] gh/mikaylagawarecki/322/orig -> origin/gh/mikaylagawarecki/322/orig 2025-08-14T21:03:59.3695447Z * [new branch] gh/mikaylagawarecki/323/base -> origin/gh/mikaylagawarecki/323/base 2025-08-14T21:03:59.3696332Z * [new branch] gh/mikaylagawarecki/323/head -> origin/gh/mikaylagawarecki/323/head 2025-08-14T21:03:59.3697496Z * [new branch] gh/mikaylagawarecki/323/orig -> origin/gh/mikaylagawarecki/323/orig 2025-08-14T21:03:59.3698716Z * [new branch] gh/mikaylagawarecki/324/base -> origin/gh/mikaylagawarecki/324/base 2025-08-14T21:03:59.3700178Z * [new branch] gh/mikaylagawarecki/324/head -> origin/gh/mikaylagawarecki/324/head 2025-08-14T21:03:59.3700705Z * [new branch] gh/mikaylagawarecki/324/orig -> origin/gh/mikaylagawarecki/324/orig 2025-08-14T21:03:59.3701968Z * [new branch] gh/mikaylagawarecki/325/base -> origin/gh/mikaylagawarecki/325/base 2025-08-14T21:03:59.3702907Z * [new branch] gh/mikaylagawarecki/325/head -> origin/gh/mikaylagawarecki/325/head 2025-08-14T21:03:59.3704087Z * [new branch] gh/mikaylagawarecki/325/orig -> origin/gh/mikaylagawarecki/325/orig 2025-08-14T21:03:59.3705101Z * [new branch] gh/mikaylagawarecki/326/base -> origin/gh/mikaylagawarecki/326/base 2025-08-14T21:03:59.3705998Z * [new branch] gh/mikaylagawarecki/326/head -> origin/gh/mikaylagawarecki/326/head 2025-08-14T21:03:59.3707176Z * [new branch] gh/mikaylagawarecki/326/orig -> origin/gh/mikaylagawarecki/326/orig 2025-08-14T21:03:59.3708771Z * [new branch] gh/mikaylagawarecki/327/base -> origin/gh/mikaylagawarecki/327/base 2025-08-14T21:03:59.3709788Z * [new branch] gh/mikaylagawarecki/327/head -> origin/gh/mikaylagawarecki/327/head 2025-08-14T21:03:59.3710631Z * [new branch] gh/mikaylagawarecki/327/orig -> origin/gh/mikaylagawarecki/327/orig 2025-08-14T21:03:59.3712323Z * [new branch] gh/mikaylagawarecki/328/base -> origin/gh/mikaylagawarecki/328/base 2025-08-14T21:03:59.3713438Z * [new branch] gh/mikaylagawarecki/328/head -> origin/gh/mikaylagawarecki/328/head 2025-08-14T21:03:59.3714512Z * [new branch] gh/mikaylagawarecki/328/orig -> origin/gh/mikaylagawarecki/328/orig 2025-08-14T21:03:59.3715836Z * [new branch] gh/mikaylagawarecki/329/base -> origin/gh/mikaylagawarecki/329/base 2025-08-14T21:03:59.3716807Z * [new branch] gh/mikaylagawarecki/329/head -> origin/gh/mikaylagawarecki/329/head 2025-08-14T21:03:59.3717759Z * [new branch] gh/mikaylagawarecki/329/orig -> origin/gh/mikaylagawarecki/329/orig 2025-08-14T21:03:59.3719171Z * [new branch] gh/mikaylagawarecki/330/base -> origin/gh/mikaylagawarecki/330/base 2025-08-14T21:03:59.3720223Z * [new branch] gh/mikaylagawarecki/330/head -> origin/gh/mikaylagawarecki/330/head 2025-08-14T21:03:59.3721156Z * [new branch] gh/mikaylagawarecki/330/orig -> origin/gh/mikaylagawarecki/330/orig 2025-08-14T21:03:59.3722687Z * [new branch] gh/mikaylagawarecki/331/base -> origin/gh/mikaylagawarecki/331/base 2025-08-14T21:03:59.3723702Z * [new branch] gh/mikaylagawarecki/331/head -> origin/gh/mikaylagawarecki/331/head 2025-08-14T21:03:59.3724668Z * [new branch] gh/mikaylagawarecki/331/orig -> origin/gh/mikaylagawarecki/331/orig 2025-08-14T21:03:59.3726274Z * [new branch] gh/mikaylagawarecki/332/base -> origin/gh/mikaylagawarecki/332/base 2025-08-14T21:03:59.3727757Z * [new branch] gh/mikaylagawarecki/332/head -> origin/gh/mikaylagawarecki/332/head 2025-08-14T21:03:59.3728758Z * [new branch] gh/mikaylagawarecki/332/orig -> origin/gh/mikaylagawarecki/332/orig 2025-08-14T21:03:59.3730006Z * [new branch] gh/mikaylagawarecki/333/base -> origin/gh/mikaylagawarecki/333/base 2025-08-14T21:03:59.3730990Z * [new branch] gh/mikaylagawarecki/333/head -> origin/gh/mikaylagawarecki/333/head 2025-08-14T21:03:59.3731948Z * [new branch] gh/mikaylagawarecki/333/orig -> origin/gh/mikaylagawarecki/333/orig 2025-08-14T21:03:59.3733355Z * [new branch] gh/mikaylagawarecki/334/base -> origin/gh/mikaylagawarecki/334/base 2025-08-14T21:03:59.3734178Z * [new branch] gh/mikaylagawarecki/334/head -> origin/gh/mikaylagawarecki/334/head 2025-08-14T21:03:59.3735235Z * [new branch] gh/mikaylagawarecki/334/orig -> origin/gh/mikaylagawarecki/334/orig 2025-08-14T21:03:59.3736852Z * [new branch] gh/mlazos/1/base -> origin/gh/mlazos/1/base 2025-08-14T21:03:59.3737941Z * [new branch] gh/mlazos/1/head -> origin/gh/mlazos/1/head 2025-08-14T21:03:59.3738891Z * [new branch] gh/mlazos/1/orig -> origin/gh/mlazos/1/orig 2025-08-14T21:03:59.3740425Z * [new branch] gh/mlazos/10/base -> origin/gh/mlazos/10/base 2025-08-14T21:03:59.3741462Z * [new branch] gh/mlazos/10/head -> origin/gh/mlazos/10/head 2025-08-14T21:03:59.3742537Z * [new branch] gh/mlazos/10/orig -> origin/gh/mlazos/10/orig 2025-08-14T21:03:59.3743638Z * [new branch] gh/mlazos/11/base -> origin/gh/mlazos/11/base 2025-08-14T21:03:59.3744636Z * [new branch] gh/mlazos/11/head -> origin/gh/mlazos/11/head 2025-08-14T21:03:59.3745668Z * [new branch] gh/mlazos/11/orig -> origin/gh/mlazos/11/orig 2025-08-14T21:03:59.3747050Z * [new branch] gh/mlazos/12/base -> origin/gh/mlazos/12/base 2025-08-14T21:03:59.3748059Z * [new branch] gh/mlazos/12/head -> origin/gh/mlazos/12/head 2025-08-14T21:03:59.3749788Z * [new branch] gh/mlazos/12/orig -> origin/gh/mlazos/12/orig 2025-08-14T21:03:59.3751209Z * [new branch] gh/mlazos/13/base -> origin/gh/mlazos/13/base 2025-08-14T21:03:59.3752169Z * [new branch] gh/mlazos/13/head -> origin/gh/mlazos/13/head 2025-08-14T21:03:59.3753218Z * [new branch] gh/mlazos/13/orig -> origin/gh/mlazos/13/orig 2025-08-14T21:03:59.3754968Z * [new branch] gh/mlazos/2/base -> origin/gh/mlazos/2/base 2025-08-14T21:03:59.3756069Z * [new branch] gh/mlazos/2/head -> origin/gh/mlazos/2/head 2025-08-14T21:03:59.3757012Z * [new branch] gh/mlazos/2/orig -> origin/gh/mlazos/2/orig 2025-08-14T21:03:59.3758336Z * [new branch] gh/mlazos/3/base -> origin/gh/mlazos/3/base 2025-08-14T21:03:59.3759324Z * [new branch] gh/mlazos/3/head -> origin/gh/mlazos/3/head 2025-08-14T21:03:59.3760320Z * [new branch] gh/mlazos/3/orig -> origin/gh/mlazos/3/orig 2025-08-14T21:03:59.3761635Z * [new branch] gh/mlazos/4/base -> origin/gh/mlazos/4/base 2025-08-14T21:03:59.3762636Z * [new branch] gh/mlazos/4/head -> origin/gh/mlazos/4/head 2025-08-14T21:03:59.3763639Z * [new branch] gh/mlazos/4/orig -> origin/gh/mlazos/4/orig 2025-08-14T21:03:59.3765034Z * [new branch] gh/mlazos/5/base -> origin/gh/mlazos/5/base 2025-08-14T21:03:59.3765970Z * [new branch] gh/mlazos/5/head -> origin/gh/mlazos/5/head 2025-08-14T21:03:59.3766975Z * [new branch] gh/mlazos/5/orig -> origin/gh/mlazos/5/orig 2025-08-14T21:03:59.3768418Z * [new branch] gh/mlazos/6/base -> origin/gh/mlazos/6/base 2025-08-14T21:03:59.3769358Z * [new branch] gh/mlazos/6/head -> origin/gh/mlazos/6/head 2025-08-14T21:03:59.3770338Z * [new branch] gh/mlazos/6/orig -> origin/gh/mlazos/6/orig 2025-08-14T21:03:59.3771833Z * [new branch] gh/mlazos/7/base -> origin/gh/mlazos/7/base 2025-08-14T21:03:59.3772862Z * [new branch] gh/mlazos/7/head -> origin/gh/mlazos/7/head 2025-08-14T21:03:59.3773832Z * [new branch] gh/mlazos/7/orig -> origin/gh/mlazos/7/orig 2025-08-14T21:03:59.3775080Z * [new branch] gh/mlazos/8/base -> origin/gh/mlazos/8/base 2025-08-14T21:03:59.3776183Z * [new branch] gh/mlazos/8/head -> origin/gh/mlazos/8/head 2025-08-14T21:03:59.3777307Z * [new branch] gh/mlazos/8/orig -> origin/gh/mlazos/8/orig 2025-08-14T21:03:59.3778639Z * [new branch] gh/mlazos/9/base -> origin/gh/mlazos/9/base 2025-08-14T21:03:59.3779753Z * [new branch] gh/mlazos/9/head -> origin/gh/mlazos/9/head 2025-08-14T21:03:59.3780763Z * [new branch] gh/mlazos/9/orig -> origin/gh/mlazos/9/orig 2025-08-14T21:03:59.3782963Z * [new branch] gh/mrmiywj/1/base -> origin/gh/mrmiywj/1/base 2025-08-14T21:03:59.3784021Z * [new branch] gh/mrmiywj/1/head -> origin/gh/mrmiywj/1/head 2025-08-14T21:03:59.3785740Z * [new branch] gh/muchulee8/62/base -> origin/gh/muchulee8/62/base 2025-08-14T21:03:59.3787027Z * [new branch] gh/muchulee8/62/head -> origin/gh/muchulee8/62/head 2025-08-14T21:03:59.3787814Z * [new branch] gh/muchulee8/62/orig -> origin/gh/muchulee8/62/orig 2025-08-14T21:03:59.3789258Z * [new branch] gh/muchulee8/63/base -> origin/gh/muchulee8/63/base 2025-08-14T21:03:59.3790291Z * [new branch] gh/muchulee8/63/head -> origin/gh/muchulee8/63/head 2025-08-14T21:03:59.3791326Z * [new branch] gh/muchulee8/63/orig -> origin/gh/muchulee8/63/orig 2025-08-14T21:03:59.3792844Z * [new branch] gh/muchulee8/64/base -> origin/gh/muchulee8/64/base 2025-08-14T21:03:59.3793857Z * [new branch] gh/muchulee8/64/head -> origin/gh/muchulee8/64/head 2025-08-14T21:03:59.3794873Z * [new branch] gh/muchulee8/64/orig -> origin/gh/muchulee8/64/orig 2025-08-14T21:03:59.3796585Z * [new branch] gh/muchulee8/65/base -> origin/gh/muchulee8/65/base 2025-08-14T21:03:59.3798099Z * [new branch] gh/muchulee8/65/head -> origin/gh/muchulee8/65/head 2025-08-14T21:03:59.3799020Z * [new branch] gh/muchulee8/65/orig -> origin/gh/muchulee8/65/orig 2025-08-14T21:03:59.3800841Z * [new branch] gh/oulgen/35/base -> origin/gh/oulgen/35/base 2025-08-14T21:03:59.3801573Z * [new branch] gh/oulgen/35/head -> origin/gh/oulgen/35/head 2025-08-14T21:03:59.3802681Z * [new branch] gh/oulgen/35/orig -> origin/gh/oulgen/35/orig 2025-08-14T21:03:59.3803885Z * [new branch] gh/oulgen/44/base -> origin/gh/oulgen/44/base 2025-08-14T21:03:59.3804860Z * [new branch] gh/oulgen/44/head -> origin/gh/oulgen/44/head 2025-08-14T21:03:59.3805872Z * [new branch] gh/oulgen/44/orig -> origin/gh/oulgen/44/orig 2025-08-14T21:03:59.3807255Z * [new branch] gh/oulgen/45/base -> origin/gh/oulgen/45/base 2025-08-14T21:03:59.3808173Z * [new branch] gh/oulgen/45/head -> origin/gh/oulgen/45/head 2025-08-14T21:03:59.3809316Z * [new branch] gh/oulgen/45/orig -> origin/gh/oulgen/45/orig 2025-08-14T21:03:59.3810598Z * [new branch] gh/oulgen/46/base -> origin/gh/oulgen/46/base 2025-08-14T21:03:59.3811497Z * [new branch] gh/oulgen/46/head -> origin/gh/oulgen/46/head 2025-08-14T21:03:59.3812561Z * [new branch] gh/oulgen/46/orig -> origin/gh/oulgen/46/orig 2025-08-14T21:03:59.3813842Z * [new branch] gh/oulgen/47/base -> origin/gh/oulgen/47/base 2025-08-14T21:03:59.3814847Z * [new branch] gh/oulgen/47/head -> origin/gh/oulgen/47/head 2025-08-14T21:03:59.3815829Z * [new branch] gh/oulgen/47/orig -> origin/gh/oulgen/47/orig 2025-08-14T21:03:59.3817504Z * [new branch] gh/pearu/108/base -> origin/gh/pearu/108/base 2025-08-14T21:03:59.3818536Z * [new branch] gh/pearu/108/head -> origin/gh/pearu/108/head 2025-08-14T21:03:59.3819559Z * [new branch] gh/pearu/108/orig -> origin/gh/pearu/108/orig 2025-08-14T21:03:59.3821789Z * [new branch] gh/pearu/56/base -> origin/gh/pearu/56/base 2025-08-14T21:03:59.3823067Z * [new branch] gh/pearu/56/head -> origin/gh/pearu/56/head 2025-08-14T21:03:59.3824068Z * [new branch] gh/pearu/56/orig -> origin/gh/pearu/56/orig 2025-08-14T21:03:59.3825530Z * [new branch] gh/pearu/97/base -> origin/gh/pearu/97/base 2025-08-14T21:03:59.3827091Z * [new branch] gh/pearu/97/head -> origin/gh/pearu/97/head 2025-08-14T21:03:59.3828067Z * [new branch] gh/pearu/97/orig -> origin/gh/pearu/97/orig 2025-08-14T21:03:59.3829701Z * [new branch] gh/qqaatw/29/base -> origin/gh/qqaatw/29/base 2025-08-14T21:03:59.3830501Z * [new branch] gh/qqaatw/29/head -> origin/gh/qqaatw/29/head 2025-08-14T21:03:59.3831552Z * [new branch] gh/qqaatw/29/orig -> origin/gh/qqaatw/29/orig 2025-08-14T21:03:59.3833129Z * [new branch] gh/raymo/cleanup-dynamo-logging -> origin/gh/raymo/cleanup-dynamo-logging 2025-08-14T21:03:59.3833849Z * [new branch] gh/raymo/refresh-script -> origin/gh/raymo/refresh-script 2025-08-14T21:03:59.3835505Z * [new branch] gh/rec/141/base -> origin/gh/rec/141/base 2025-08-14T21:03:59.3836497Z * [new branch] gh/rec/141/head -> origin/gh/rec/141/head 2025-08-14T21:03:59.3837745Z * [new branch] gh/rec/153/base -> origin/gh/rec/153/base 2025-08-14T21:03:59.3838736Z * [new branch] gh/rec/153/head -> origin/gh/rec/153/head 2025-08-14T21:03:59.3839721Z * [new branch] gh/rec/153/orig -> origin/gh/rec/153/orig 2025-08-14T21:03:59.3841024Z * [new branch] gh/rec/154/base -> origin/gh/rec/154/base 2025-08-14T21:03:59.3841973Z * [new branch] gh/rec/154/head -> origin/gh/rec/154/head 2025-08-14T21:03:59.3842937Z * [new branch] gh/rec/154/orig -> origin/gh/rec/154/orig 2025-08-14T21:03:59.3844278Z * [new branch] gh/rec/156/base -> origin/gh/rec/156/base 2025-08-14T21:03:59.3845154Z * [new branch] gh/rec/156/head -> origin/gh/rec/156/head 2025-08-14T21:03:59.3846154Z * [new branch] gh/rec/156/orig -> origin/gh/rec/156/orig 2025-08-14T21:03:59.3847485Z * [new branch] gh/rec/158/base -> origin/gh/rec/158/base 2025-08-14T21:03:59.3848547Z * [new branch] gh/rec/158/head -> origin/gh/rec/158/head 2025-08-14T21:03:59.3849523Z * [new branch] gh/rec/158/orig -> origin/gh/rec/158/orig 2025-08-14T21:03:59.3850806Z * [new branch] gh/rec/159/base -> origin/gh/rec/159/base 2025-08-14T21:03:59.3851806Z * [new branch] gh/rec/159/head -> origin/gh/rec/159/head 2025-08-14T21:03:59.3853102Z * [new branch] gh/rec/160/base -> origin/gh/rec/160/base 2025-08-14T21:03:59.3854074Z * [new branch] gh/rec/160/head -> origin/gh/rec/160/head 2025-08-14T21:03:59.3855177Z * [new branch] gh/rec/160/orig -> origin/gh/rec/160/orig 2025-08-14T21:03:59.3856450Z * [new branch] gh/rec/161/base -> origin/gh/rec/161/base 2025-08-14T21:03:59.3857431Z * [new branch] gh/rec/161/head -> origin/gh/rec/161/head 2025-08-14T21:03:59.3858352Z * [new branch] gh/rec/161/orig -> origin/gh/rec/161/orig 2025-08-14T21:03:59.3859642Z * [new branch] gh/rec/162/base -> origin/gh/rec/162/base 2025-08-14T21:03:59.3860573Z * [new branch] gh/rec/162/head -> origin/gh/rec/162/head 2025-08-14T21:03:59.3861667Z * [new branch] gh/rec/162/orig -> origin/gh/rec/162/orig 2025-08-14T21:03:59.3862937Z * [new branch] gh/rec/163/base -> origin/gh/rec/163/base 2025-08-14T21:03:59.3863899Z * [new branch] gh/rec/163/head -> origin/gh/rec/163/head 2025-08-14T21:03:59.3864954Z * [new branch] gh/rec/163/orig -> origin/gh/rec/163/orig 2025-08-14T21:03:59.3866367Z * [new branch] gh/rec/164/base -> origin/gh/rec/164/base 2025-08-14T21:03:59.3867330Z * [new branch] gh/rec/164/head -> origin/gh/rec/164/head 2025-08-14T21:03:59.3868285Z * [new branch] gh/rec/164/orig -> origin/gh/rec/164/orig 2025-08-14T21:03:59.3869972Z * [new branch] gh/robert-hardwick/1/base -> origin/gh/robert-hardwick/1/base 2025-08-14T21:03:59.3870798Z * [new branch] gh/robert-hardwick/1/head -> origin/gh/robert-hardwick/1/head 2025-08-14T21:03:59.3871885Z * [new branch] gh/robert-hardwick/1/orig -> origin/gh/robert-hardwick/1/orig 2025-08-14T21:03:59.3873172Z * [new branch] gh/robert-hardwick/2/base -> origin/gh/robert-hardwick/2/base 2025-08-14T21:03:59.3874226Z * [new branch] gh/robert-hardwick/2/head -> origin/gh/robert-hardwick/2/head 2025-08-14T21:03:59.3875358Z * [new branch] gh/robert-hardwick/2/orig -> origin/gh/robert-hardwick/2/orig 2025-08-14T21:03:59.3876623Z * [new branch] gh/robert-hardwick/3/base -> origin/gh/robert-hardwick/3/base 2025-08-14T21:03:59.3877642Z * [new branch] gh/robert-hardwick/3/head -> origin/gh/robert-hardwick/3/head 2025-08-14T21:03:59.3879049Z * [new branch] gh/robert-hardwick/3/orig -> origin/gh/robert-hardwick/3/orig 2025-08-14T21:03:59.3880358Z * [new branch] gh/robert-hardwick/4/base -> origin/gh/robert-hardwick/4/base 2025-08-14T21:03:59.3881199Z * [new branch] gh/robert-hardwick/4/head -> origin/gh/robert-hardwick/4/head 2025-08-14T21:03:59.3882249Z * [new branch] gh/robert-hardwick/4/orig -> origin/gh/robert-hardwick/4/orig 2025-08-14T21:03:59.3883740Z * [new branch] gh/rtimpe/1/base -> origin/gh/rtimpe/1/base 2025-08-14T21:03:59.3884760Z * [new branch] gh/rtimpe/1/head -> origin/gh/rtimpe/1/head 2025-08-14T21:03:59.3886063Z * [new branch] gh/rtimpe/10/base -> origin/gh/rtimpe/10/base 2025-08-14T21:03:59.3887169Z * [new branch] gh/rtimpe/10/head -> origin/gh/rtimpe/10/head 2025-08-14T21:03:59.3888208Z * [new branch] gh/rtimpe/10/orig -> origin/gh/rtimpe/10/orig 2025-08-14T21:03:59.3889596Z * [new branch] gh/rtimpe/11/base -> origin/gh/rtimpe/11/base 2025-08-14T21:03:59.3890537Z * [new branch] gh/rtimpe/11/head -> origin/gh/rtimpe/11/head 2025-08-14T21:03:59.3891511Z * [new branch] gh/rtimpe/11/orig -> origin/gh/rtimpe/11/orig 2025-08-14T21:03:59.3892775Z * [new branch] gh/rtimpe/12/base -> origin/gh/rtimpe/12/base 2025-08-14T21:03:59.3893667Z * [new branch] gh/rtimpe/12/head -> origin/gh/rtimpe/12/head 2025-08-14T21:03:59.3894883Z * [new branch] gh/rtimpe/12/orig -> origin/gh/rtimpe/12/orig 2025-08-14T21:03:59.3896250Z * [new branch] gh/rtimpe/2/base -> origin/gh/rtimpe/2/base 2025-08-14T21:03:59.3896868Z * [new branch] gh/rtimpe/2/head -> origin/gh/rtimpe/2/head 2025-08-14T21:03:59.3898165Z * [new branch] gh/rtimpe/3/base -> origin/gh/rtimpe/3/base 2025-08-14T21:03:59.3899081Z * [new branch] gh/rtimpe/3/head -> origin/gh/rtimpe/3/head 2025-08-14T21:03:59.3900406Z * [new branch] gh/rtimpe/4/base -> origin/gh/rtimpe/4/base 2025-08-14T21:03:59.3901406Z * [new branch] gh/rtimpe/4/head -> origin/gh/rtimpe/4/head 2025-08-14T21:03:59.3902764Z * [new branch] gh/rtimpe/5/base -> origin/gh/rtimpe/5/base 2025-08-14T21:03:59.3903675Z * [new branch] gh/rtimpe/5/head -> origin/gh/rtimpe/5/head 2025-08-14T21:03:59.3904659Z * [new branch] gh/rtimpe/5/orig -> origin/gh/rtimpe/5/orig 2025-08-14T21:03:59.3906039Z * [new branch] gh/rtimpe/6/base -> origin/gh/rtimpe/6/base 2025-08-14T21:03:59.3907124Z * [new branch] gh/rtimpe/6/head -> origin/gh/rtimpe/6/head 2025-08-14T21:03:59.3908134Z * [new branch] gh/rtimpe/6/orig -> origin/gh/rtimpe/6/orig 2025-08-14T21:03:59.3909372Z * [new branch] gh/rtimpe/7/base -> origin/gh/rtimpe/7/base 2025-08-14T21:03:59.3910524Z * [new branch] gh/rtimpe/7/head -> origin/gh/rtimpe/7/head 2025-08-14T21:03:59.3911268Z * [new branch] gh/rtimpe/7/orig -> origin/gh/rtimpe/7/orig 2025-08-14T21:03:59.3912784Z * [new branch] gh/rtimpe/8/base -> origin/gh/rtimpe/8/base 2025-08-14T21:03:59.3914161Z * [new branch] gh/rtimpe/8/head -> origin/gh/rtimpe/8/head 2025-08-14T21:03:59.3915155Z * [new branch] gh/rtimpe/8/orig -> origin/gh/rtimpe/8/orig 2025-08-14T21:03:59.3916508Z * [new branch] gh/rtimpe/9/base -> origin/gh/rtimpe/9/base 2025-08-14T21:03:59.3917466Z * [new branch] gh/rtimpe/9/head -> origin/gh/rtimpe/9/head 2025-08-14T21:03:59.3918451Z * [new branch] gh/rtimpe/9/orig -> origin/gh/rtimpe/9/orig 2025-08-14T21:03:59.3920204Z * [new branch] gh/ruisizhang123/1/base -> origin/gh/ruisizhang123/1/base 2025-08-14T21:03:59.3921353Z * [new branch] gh/ruisizhang123/1/head -> origin/gh/ruisizhang123/1/head 2025-08-14T21:03:59.3922391Z * [new branch] gh/ruisizhang123/1/orig -> origin/gh/ruisizhang123/1/orig 2025-08-14T21:03:59.3923758Z * [new branch] gh/ruisizhang123/4/base -> origin/gh/ruisizhang123/4/base 2025-08-14T21:03:59.3924861Z * [new branch] gh/ruisizhang123/4/head -> origin/gh/ruisizhang123/4/head 2025-08-14T21:03:59.3925819Z * [new branch] gh/ruisizhang123/4/orig -> origin/gh/ruisizhang123/4/orig 2025-08-14T21:03:59.3927292Z * [new branch] gh/ruisizhang123/5/base -> origin/gh/ruisizhang123/5/base 2025-08-14T21:03:59.3928676Z * [new branch] gh/ruisizhang123/5/head -> origin/gh/ruisizhang123/5/head 2025-08-14T21:03:59.3929676Z * [new branch] gh/ruisizhang123/5/orig -> origin/gh/ruisizhang123/5/orig 2025-08-14T21:03:59.3931022Z * [new branch] gh/ruisizhang123/6/base -> origin/gh/ruisizhang123/6/base 2025-08-14T21:03:59.3932120Z * [new branch] gh/ruisizhang123/6/head -> origin/gh/ruisizhang123/6/head 2025-08-14T21:03:59.3933126Z * [new branch] gh/ruisizhang123/6/orig -> origin/gh/ruisizhang123/6/orig 2025-08-14T21:03:59.3935136Z * [new branch] gh/ruisizhang123/7/base -> origin/gh/ruisizhang123/7/base 2025-08-14T21:03:59.3936394Z * [new branch] gh/ruisizhang123/7/head -> origin/gh/ruisizhang123/7/head 2025-08-14T21:03:59.3937396Z * [new branch] gh/ruisizhang123/7/orig -> origin/gh/ruisizhang123/7/orig 2025-08-14T21:03:59.3938788Z * [new branch] gh/ruisizhang123/8/base -> origin/gh/ruisizhang123/8/base 2025-08-14T21:03:59.3939784Z * [new branch] gh/ruisizhang123/8/head -> origin/gh/ruisizhang123/8/head 2025-08-14T21:03:59.3940746Z * [new branch] gh/ruisizhang123/8/orig -> origin/gh/ruisizhang123/8/orig 2025-08-14T21:03:59.3942458Z * [new branch] gh/sarckk/2/base -> origin/gh/sarckk/2/base 2025-08-14T21:03:59.3943940Z * [new branch] gh/sarckk/2/head -> origin/gh/sarckk/2/head 2025-08-14T21:03:59.3945009Z * [new branch] gh/sarckk/2/orig -> origin/gh/sarckk/2/orig 2025-08-14T21:03:59.3946680Z * [new branch] gh/seemethere/23/head -> origin/gh/seemethere/23/head 2025-08-14T21:03:59.3948032Z * [new branch] gh/seemethere/24/base -> origin/gh/seemethere/24/base 2025-08-14T21:03:59.3948990Z * [new branch] gh/seemethere/24/head -> origin/gh/seemethere/24/head 2025-08-14T21:03:59.3950189Z * [new branch] gh/seemethere/24/orig -> origin/gh/seemethere/24/orig 2025-08-14T21:03:59.3951397Z * [new branch] gh/seemethere/30/base -> origin/gh/seemethere/30/base 2025-08-14T21:03:59.3952371Z * [new branch] gh/seemethere/30/head -> origin/gh/seemethere/30/head 2025-08-14T21:03:59.3953497Z * [new branch] gh/seemethere/30/orig -> origin/gh/seemethere/30/orig 2025-08-14T21:03:59.3954852Z * [new branch] gh/seemethere/32/base -> origin/gh/seemethere/32/base 2025-08-14T21:03:59.3955841Z * [new branch] gh/seemethere/32/head -> origin/gh/seemethere/32/head 2025-08-14T21:03:59.3956931Z * [new branch] gh/seemethere/32/orig -> origin/gh/seemethere/32/orig 2025-08-14T21:03:59.3958137Z * [new branch] gh/seemethere/33/base -> origin/gh/seemethere/33/base 2025-08-14T21:03:59.3959146Z * [new branch] gh/seemethere/33/head -> origin/gh/seemethere/33/head 2025-08-14T21:03:59.3960147Z * [new branch] gh/seemethere/33/orig -> origin/gh/seemethere/33/orig 2025-08-14T21:03:59.3961876Z * [new branch] gh/seemethere/34/base -> origin/gh/seemethere/34/base 2025-08-14T21:03:59.3962851Z * [new branch] gh/seemethere/34/head -> origin/gh/seemethere/34/head 2025-08-14T21:03:59.3963869Z * [new branch] gh/seemethere/34/orig -> origin/gh/seemethere/34/orig 2025-08-14T21:03:59.3965114Z * [new branch] gh/seemethere/35/base -> origin/gh/seemethere/35/base 2025-08-14T21:03:59.3966075Z * [new branch] gh/seemethere/35/head -> origin/gh/seemethere/35/head 2025-08-14T21:03:59.3967118Z * [new branch] gh/seemethere/35/orig -> origin/gh/seemethere/35/orig 2025-08-14T21:03:59.3968508Z * [new branch] gh/seemethere/37/base -> origin/gh/seemethere/37/base 2025-08-14T21:03:59.3969536Z * [new branch] gh/seemethere/37/head -> origin/gh/seemethere/37/head 2025-08-14T21:03:59.3970506Z * [new branch] gh/seemethere/37/orig -> origin/gh/seemethere/37/orig 2025-08-14T21:03:59.3971819Z * [new branch] gh/seemethere/39/base -> origin/gh/seemethere/39/base 2025-08-14T21:03:59.3972766Z * [new branch] gh/seemethere/39/head -> origin/gh/seemethere/39/head 2025-08-14T21:03:59.3973767Z * [new branch] gh/seemethere/39/orig -> origin/gh/seemethere/39/orig 2025-08-14T21:03:59.3975505Z * [new branch] gh/seemethere/40/base -> origin/gh/seemethere/40/base 2025-08-14T21:03:59.3976763Z * [new branch] gh/seemethere/40/head -> origin/gh/seemethere/40/head 2025-08-14T21:03:59.3977706Z * [new branch] gh/seemethere/40/orig -> origin/gh/seemethere/40/orig 2025-08-14T21:03:59.3979002Z * [new branch] gh/seemethere/41/base -> origin/gh/seemethere/41/base 2025-08-14T21:03:59.3979962Z * [new branch] gh/seemethere/41/head -> origin/gh/seemethere/41/head 2025-08-14T21:03:59.3980945Z * [new branch] gh/seemethere/41/orig -> origin/gh/seemethere/41/orig 2025-08-14T21:03:59.3982350Z * [new branch] gh/seemethere/42/base -> origin/gh/seemethere/42/base 2025-08-14T21:03:59.3983337Z * [new branch] gh/seemethere/42/head -> origin/gh/seemethere/42/head 2025-08-14T21:03:59.3984274Z * [new branch] gh/seemethere/42/orig -> origin/gh/seemethere/42/orig 2025-08-14T21:03:59.3985754Z * [new branch] gh/seemethere/43/base -> origin/gh/seemethere/43/base 2025-08-14T21:03:59.3986781Z * [new branch] gh/seemethere/43/head -> origin/gh/seemethere/43/head 2025-08-14T21:03:59.3987850Z * [new branch] gh/seemethere/43/orig -> origin/gh/seemethere/43/orig 2025-08-14T21:03:59.3989220Z * [new branch] gh/seemethere/44/base -> origin/gh/seemethere/44/base 2025-08-14T21:03:59.3990160Z * [new branch] gh/seemethere/44/head -> origin/gh/seemethere/44/head 2025-08-14T21:03:59.3991066Z * [new branch] gh/seemethere/44/orig -> origin/gh/seemethere/44/orig 2025-08-14T21:03:59.3992447Z * [new branch] gh/seemethere/45/base -> origin/gh/seemethere/45/base 2025-08-14T21:03:59.3993220Z * [new branch] gh/seemethere/45/head -> origin/gh/seemethere/45/head 2025-08-14T21:03:59.3994356Z * [new branch] gh/seemethere/45/orig -> origin/gh/seemethere/45/orig 2025-08-14T21:03:59.3995678Z * [new branch] gh/seemethere/46/base -> origin/gh/seemethere/46/base 2025-08-14T21:03:59.3996633Z * [new branch] gh/seemethere/46/head -> origin/gh/seemethere/46/head 2025-08-14T21:03:59.3997657Z * [new branch] gh/seemethere/46/orig -> origin/gh/seemethere/46/orig 2025-08-14T21:03:59.3998930Z * [new branch] gh/seemethere/47/base -> origin/gh/seemethere/47/base 2025-08-14T21:03:59.3999870Z * [new branch] gh/seemethere/47/head -> origin/gh/seemethere/47/head 2025-08-14T21:03:59.4000887Z * [new branch] gh/seemethere/47/orig -> origin/gh/seemethere/47/orig 2025-08-14T21:03:59.4002132Z * [new branch] gh/seemethere/48/base -> origin/gh/seemethere/48/base 2025-08-14T21:03:59.4003110Z * [new branch] gh/seemethere/48/head -> origin/gh/seemethere/48/head 2025-08-14T21:03:59.4004118Z * [new branch] gh/seemethere/48/orig -> origin/gh/seemethere/48/orig 2025-08-14T21:03:59.4005826Z * [new branch] gh/seemethere/49/base -> origin/gh/seemethere/49/base 2025-08-14T21:03:59.4006806Z * [new branch] gh/seemethere/49/head -> origin/gh/seemethere/49/head 2025-08-14T21:03:59.4007894Z * [new branch] gh/seemethere/49/orig -> origin/gh/seemethere/49/orig 2025-08-14T21:03:59.4009291Z * [new branch] gh/seemethere/50/base -> origin/gh/seemethere/50/base 2025-08-14T21:03:59.4010236Z * [new branch] gh/seemethere/50/head -> origin/gh/seemethere/50/head 2025-08-14T21:03:59.4011227Z * [new branch] gh/seemethere/50/orig -> origin/gh/seemethere/50/orig 2025-08-14T21:03:59.4012585Z * [new branch] gh/seemethere/51/base -> origin/gh/seemethere/51/base 2025-08-14T21:03:59.4013541Z * [new branch] gh/seemethere/51/head -> origin/gh/seemethere/51/head 2025-08-14T21:03:59.4014598Z * [new branch] gh/seemethere/51/orig -> origin/gh/seemethere/51/orig 2025-08-14T21:03:59.4015952Z * [new branch] gh/seemethere/52/base -> origin/gh/seemethere/52/base 2025-08-14T21:03:59.4016972Z * [new branch] gh/seemethere/52/head -> origin/gh/seemethere/52/head 2025-08-14T21:03:59.4017958Z * [new branch] gh/seemethere/52/orig -> origin/gh/seemethere/52/orig 2025-08-14T21:03:59.4019265Z * [new branch] gh/seemethere/53/base -> origin/gh/seemethere/53/base 2025-08-14T21:03:59.4020308Z * [new branch] gh/seemethere/53/head -> origin/gh/seemethere/53/head 2025-08-14T21:03:59.4021371Z * [new branch] gh/seemethere/53/orig -> origin/gh/seemethere/53/orig 2025-08-14T21:03:59.4023221Z * [new branch] gh/seemethere/54/base -> origin/gh/seemethere/54/base 2025-08-14T21:03:59.4024207Z * [new branch] gh/seemethere/54/head -> origin/gh/seemethere/54/head 2025-08-14T21:03:59.4025227Z * [new branch] gh/seemethere/54/orig -> origin/gh/seemethere/54/orig 2025-08-14T21:03:59.4026851Z * [new branch] gh/seemethere/55/base -> origin/gh/seemethere/55/base 2025-08-14T21:03:59.4027467Z * [new branch] gh/seemethere/55/head -> origin/gh/seemethere/55/head 2025-08-14T21:03:59.4028966Z * [new branch] gh/seemethere/55/orig -> origin/gh/seemethere/55/orig 2025-08-14T21:03:59.4030321Z * [new branch] gh/seemethere/56/base -> origin/gh/seemethere/56/base 2025-08-14T21:03:59.4031260Z * [new branch] gh/seemethere/56/head -> origin/gh/seemethere/56/head 2025-08-14T21:03:59.4032336Z * [new branch] gh/seemethere/56/orig -> origin/gh/seemethere/56/orig 2025-08-14T21:03:59.4033567Z * [new branch] gh/seemethere/57/base -> origin/gh/seemethere/57/base 2025-08-14T21:03:59.4034522Z * [new branch] gh/seemethere/57/head -> origin/gh/seemethere/57/head 2025-08-14T21:03:59.4035501Z * [new branch] gh/seemethere/57/orig -> origin/gh/seemethere/57/orig 2025-08-14T21:03:59.4037314Z * [new branch] gh/seemethere/58/base -> origin/gh/seemethere/58/base 2025-08-14T21:03:59.4038344Z * [new branch] gh/seemethere/58/head -> origin/gh/seemethere/58/head 2025-08-14T21:03:59.4039335Z * [new branch] gh/seemethere/58/orig -> origin/gh/seemethere/58/orig 2025-08-14T21:03:59.4040672Z * [new branch] gh/seemethere/59/base -> origin/gh/seemethere/59/base 2025-08-14T21:03:59.4041641Z * [new branch] gh/seemethere/59/head -> origin/gh/seemethere/59/head 2025-08-14T21:03:59.4042643Z * [new branch] gh/seemethere/59/orig -> origin/gh/seemethere/59/orig 2025-08-14T21:03:59.4043980Z * [new branch] gh/seemethere/7/head -> origin/gh/seemethere/7/head 2025-08-14T21:03:59.4045717Z * [new branch] gh/shunting314/145/base -> origin/gh/shunting314/145/base 2025-08-14T21:03:59.4046859Z * [new branch] gh/shunting314/145/head -> origin/gh/shunting314/145/head 2025-08-14T21:03:59.4047926Z * [new branch] gh/shunting314/145/orig -> origin/gh/shunting314/145/orig 2025-08-14T21:03:59.4049640Z * [new branch] gh/shunting314/176/base -> origin/gh/shunting314/176/base 2025-08-14T21:03:59.4050724Z * [new branch] gh/shunting314/176/head -> origin/gh/shunting314/176/head 2025-08-14T21:03:59.4051713Z * [new branch] gh/shunting314/176/orig -> origin/gh/shunting314/176/orig 2025-08-14T21:03:59.4053048Z * [new branch] gh/shunting314/211/base -> origin/gh/shunting314/211/base 2025-08-14T21:03:59.4054061Z * [new branch] gh/shunting314/211/head -> origin/gh/shunting314/211/head 2025-08-14T21:03:59.4055027Z * [new branch] gh/shunting314/211/orig -> origin/gh/shunting314/211/orig 2025-08-14T21:03:59.4056199Z * [new branch] gh/shunting314/212/base -> origin/gh/shunting314/212/base 2025-08-14T21:03:59.4057080Z * [new branch] gh/shunting314/212/head -> origin/gh/shunting314/212/head 2025-08-14T21:03:59.4058136Z * [new branch] gh/shunting314/212/orig -> origin/gh/shunting314/212/orig 2025-08-14T21:03:59.4059960Z * [new branch] gh/shunting314/213/base -> origin/gh/shunting314/213/base 2025-08-14T21:03:59.4060975Z * [new branch] gh/shunting314/213/head -> origin/gh/shunting314/213/head 2025-08-14T21:03:59.4061970Z * [new branch] gh/shunting314/213/orig -> origin/gh/shunting314/213/orig 2025-08-14T21:03:59.4063711Z * [new branch] gh/silverguo/1/base -> origin/gh/silverguo/1/base 2025-08-14T21:03:59.4064702Z * [new branch] gh/silverguo/1/head -> origin/gh/silverguo/1/head 2025-08-14T21:03:59.4066408Z * [new branch] gh/silverguo/2/base -> origin/gh/silverguo/2/base 2025-08-14T21:03:59.4067358Z * [new branch] gh/silverguo/2/head -> origin/gh/silverguo/2/head 2025-08-14T21:03:59.4068534Z * [new branch] gh/silverguo/3/base -> origin/gh/silverguo/3/base 2025-08-14T21:03:59.4069501Z * [new branch] gh/silverguo/3/head -> origin/gh/silverguo/3/head 2025-08-14T21:03:59.4070676Z * [new branch] gh/silverguo/4/base -> origin/gh/silverguo/4/base 2025-08-14T21:03:59.4071712Z * [new branch] gh/silverguo/4/head -> origin/gh/silverguo/4/head 2025-08-14T21:03:59.4073298Z * [new branch] gh/sinhaanhsul/1/base -> origin/gh/sinhaanhsul/1/base 2025-08-14T21:03:59.4074396Z * [new branch] gh/sinhaanhsul/1/head -> origin/gh/sinhaanhsul/1/head 2025-08-14T21:03:59.4076112Z * [new branch] gh/skarjala/11/base -> origin/gh/skarjala/11/base 2025-08-14T21:03:59.4077012Z * [new branch] gh/skarjala/11/head -> origin/gh/skarjala/11/head 2025-08-14T21:03:59.4078140Z * [new branch] gh/skarjala/11/orig -> origin/gh/skarjala/11/orig 2025-08-14T21:03:59.4079411Z * [new branch] gh/skarjala/13/base -> origin/gh/skarjala/13/base 2025-08-14T21:03:59.4080373Z * [new branch] gh/skarjala/13/head -> origin/gh/skarjala/13/head 2025-08-14T21:03:59.4081421Z * [new branch] gh/skarjala/13/orig -> origin/gh/skarjala/13/orig 2025-08-14T21:03:59.4082665Z * [new branch] gh/skarjala/14/base -> origin/gh/skarjala/14/base 2025-08-14T21:03:59.4083670Z * [new branch] gh/skarjala/14/head -> origin/gh/skarjala/14/head 2025-08-14T21:03:59.4084634Z * [new branch] gh/skarjala/14/orig -> origin/gh/skarjala/14/orig 2025-08-14T21:03:59.4085964Z * [new branch] gh/skarjala/15/base -> origin/gh/skarjala/15/base 2025-08-14T21:03:59.4086987Z * [new branch] gh/skarjala/15/head -> origin/gh/skarjala/15/head 2025-08-14T21:03:59.4088111Z * [new branch] gh/skarjala/15/orig -> origin/gh/skarjala/15/orig 2025-08-14T21:03:59.4089473Z * [new branch] gh/skarjala/16/base -> origin/gh/skarjala/16/base 2025-08-14T21:03:59.4090421Z * [new branch] gh/skarjala/16/head -> origin/gh/skarjala/16/head 2025-08-14T21:03:59.4091417Z * [new branch] gh/skarjala/16/orig -> origin/gh/skarjala/16/orig 2025-08-14T21:03:59.4092700Z * [new branch] gh/skarjala/17/base -> origin/gh/skarjala/17/base 2025-08-14T21:03:59.4093722Z * [new branch] gh/skarjala/17/head -> origin/gh/skarjala/17/head 2025-08-14T21:03:59.4094733Z * [new branch] gh/skarjala/17/orig -> origin/gh/skarjala/17/orig 2025-08-14T21:03:59.4096032Z * [new branch] gh/skarjala/18/base -> origin/gh/skarjala/18/base 2025-08-14T21:03:59.4097015Z * [new branch] gh/skarjala/18/head -> origin/gh/skarjala/18/head 2025-08-14T21:03:59.4097915Z * [new branch] gh/skarjala/18/orig -> origin/gh/skarjala/18/orig 2025-08-14T21:03:59.4099258Z * [new branch] gh/skarjala/19/base -> origin/gh/skarjala/19/base 2025-08-14T21:03:59.4100214Z * [new branch] gh/skarjala/19/head -> origin/gh/skarjala/19/head 2025-08-14T21:03:59.4101275Z * [new branch] gh/skarjala/19/orig -> origin/gh/skarjala/19/orig 2025-08-14T21:03:59.4102996Z * [new branch] gh/soulitzer/269/base -> origin/gh/soulitzer/269/base 2025-08-14T21:03:59.4103989Z * [new branch] gh/soulitzer/269/head -> origin/gh/soulitzer/269/head 2025-08-14T21:03:59.4104991Z * [new branch] gh/soulitzer/269/orig -> origin/gh/soulitzer/269/orig 2025-08-14T21:03:59.4106512Z * [new branch] gh/soulitzer/276/base -> origin/gh/soulitzer/276/base 2025-08-14T21:03:59.4107925Z * [new branch] gh/soulitzer/276/head -> origin/gh/soulitzer/276/head 2025-08-14T21:03:59.4108918Z * [new branch] gh/soulitzer/276/orig -> origin/gh/soulitzer/276/orig 2025-08-14T21:03:59.4110539Z * [new branch] gh/soulitzer/287/base -> origin/gh/soulitzer/287/base 2025-08-14T21:03:59.4111494Z * [new branch] gh/soulitzer/287/head -> origin/gh/soulitzer/287/head 2025-08-14T21:03:59.4112490Z * [new branch] gh/soulitzer/287/orig -> origin/gh/soulitzer/287/orig 2025-08-14T21:03:59.4113913Z * [new branch] gh/soulitzer/296/base -> origin/gh/soulitzer/296/base 2025-08-14T21:03:59.4115151Z * [new branch] gh/soulitzer/296/head -> origin/gh/soulitzer/296/head 2025-08-14T21:03:59.4116106Z * [new branch] gh/soulitzer/296/orig -> origin/gh/soulitzer/296/orig 2025-08-14T21:03:59.4117404Z * [new branch] gh/soulitzer/299/base -> origin/gh/soulitzer/299/base 2025-08-14T21:03:59.4118530Z * [new branch] gh/soulitzer/299/head -> origin/gh/soulitzer/299/head 2025-08-14T21:03:59.4119484Z * [new branch] gh/soulitzer/299/orig -> origin/gh/soulitzer/299/orig 2025-08-14T21:03:59.4120798Z * [new branch] gh/soulitzer/300/base -> origin/gh/soulitzer/300/base 2025-08-14T21:03:59.4121825Z * [new branch] gh/soulitzer/300/head -> origin/gh/soulitzer/300/head 2025-08-14T21:03:59.4122832Z * [new branch] gh/soulitzer/300/orig -> origin/gh/soulitzer/300/orig 2025-08-14T21:03:59.4124307Z * [new branch] gh/soulitzer/301/base -> origin/gh/soulitzer/301/base 2025-08-14T21:03:59.4125289Z * [new branch] gh/soulitzer/301/head -> origin/gh/soulitzer/301/head 2025-08-14T21:03:59.4126305Z * [new branch] gh/soulitzer/301/orig -> origin/gh/soulitzer/301/orig 2025-08-14T21:03:59.4127632Z * [new branch] gh/soulitzer/313/base -> origin/gh/soulitzer/313/base 2025-08-14T21:03:59.4128683Z * [new branch] gh/soulitzer/313/head -> origin/gh/soulitzer/313/head 2025-08-14T21:03:59.4129685Z * [new branch] gh/soulitzer/313/orig -> origin/gh/soulitzer/313/orig 2025-08-14T21:03:59.4131006Z * [new branch] gh/soulitzer/319/base -> origin/gh/soulitzer/319/base 2025-08-14T21:03:59.4131974Z * [new branch] gh/soulitzer/319/head -> origin/gh/soulitzer/319/head 2025-08-14T21:03:59.4132922Z * [new branch] gh/soulitzer/319/orig -> origin/gh/soulitzer/319/orig 2025-08-14T21:03:59.4134313Z * [new branch] gh/soulitzer/320/base -> origin/gh/soulitzer/320/base 2025-08-14T21:03:59.4135286Z * [new branch] gh/soulitzer/320/head -> origin/gh/soulitzer/320/head 2025-08-14T21:03:59.4136255Z * [new branch] gh/soulitzer/320/orig -> origin/gh/soulitzer/320/orig 2025-08-14T21:03:59.4137695Z * [new branch] gh/soulitzer/336/base -> origin/gh/soulitzer/336/base 2025-08-14T21:03:59.4138535Z * [new branch] gh/soulitzer/336/head -> origin/gh/soulitzer/336/head 2025-08-14T21:03:59.4139638Z * [new branch] gh/soulitzer/336/orig -> origin/gh/soulitzer/336/orig 2025-08-14T21:03:59.4140956Z * [new branch] gh/soulitzer/347/base -> origin/gh/soulitzer/347/base 2025-08-14T21:03:59.4142048Z * [new branch] gh/soulitzer/347/head -> origin/gh/soulitzer/347/head 2025-08-14T21:03:59.4142966Z * [new branch] gh/soulitzer/347/orig -> origin/gh/soulitzer/347/orig 2025-08-14T21:03:59.4144519Z * [new branch] gh/soulitzer/349/base -> origin/gh/soulitzer/349/base 2025-08-14T21:03:59.4145506Z * [new branch] gh/soulitzer/349/head -> origin/gh/soulitzer/349/head 2025-08-14T21:03:59.4146669Z * [new branch] gh/soulitzer/349/orig -> origin/gh/soulitzer/349/orig 2025-08-14T21:03:59.4147915Z * [new branch] gh/soulitzer/350/base -> origin/gh/soulitzer/350/base 2025-08-14T21:03:59.4148830Z * [new branch] gh/soulitzer/350/head -> origin/gh/soulitzer/350/head 2025-08-14T21:03:59.4149856Z * [new branch] gh/soulitzer/350/orig -> origin/gh/soulitzer/350/orig 2025-08-14T21:03:59.4151248Z * [new branch] gh/soulitzer/351/base -> origin/gh/soulitzer/351/base 2025-08-14T21:03:59.4152235Z * [new branch] gh/soulitzer/351/head -> origin/gh/soulitzer/351/head 2025-08-14T21:03:59.4153304Z * [new branch] gh/soulitzer/351/orig -> origin/gh/soulitzer/351/orig 2025-08-14T21:03:59.4154514Z * [new branch] gh/soulitzer/353/base -> origin/gh/soulitzer/353/base 2025-08-14T21:03:59.4155747Z * [new branch] gh/soulitzer/353/head -> origin/gh/soulitzer/353/head 2025-08-14T21:03:59.4157190Z * [new branch] gh/soulitzer/353/orig -> origin/gh/soulitzer/353/orig 2025-08-14T21:03:59.4159243Z * [new branch] gh/soulitzer/358/base -> origin/gh/soulitzer/358/base 2025-08-14T21:03:59.4160291Z * [new branch] gh/soulitzer/358/head -> origin/gh/soulitzer/358/head 2025-08-14T21:03:59.4161282Z * [new branch] gh/soulitzer/358/orig -> origin/gh/soulitzer/358/orig 2025-08-14T21:03:59.4163195Z * [new branch] gh/soulitzer/359/base -> origin/gh/soulitzer/359/base 2025-08-14T21:03:59.4164203Z * [new branch] gh/soulitzer/359/head -> origin/gh/soulitzer/359/head 2025-08-14T21:03:59.4165219Z * [new branch] gh/soulitzer/359/orig -> origin/gh/soulitzer/359/orig 2025-08-14T21:03:59.4166593Z * [new branch] gh/soulitzer/362/base -> origin/gh/soulitzer/362/base 2025-08-14T21:03:59.4167979Z * [new branch] gh/soulitzer/362/head -> origin/gh/soulitzer/362/head 2025-08-14T21:03:59.4168996Z * [new branch] gh/soulitzer/362/orig -> origin/gh/soulitzer/362/orig 2025-08-14T21:03:59.4170272Z * [new branch] gh/soulitzer/372/base -> origin/gh/soulitzer/372/base 2025-08-14T21:03:59.4171355Z * [new branch] gh/soulitzer/372/head -> origin/gh/soulitzer/372/head 2025-08-14T21:03:59.4172320Z * [new branch] gh/soulitzer/372/orig -> origin/gh/soulitzer/372/orig 2025-08-14T21:03:59.4173932Z * [new branch] gh/swolchok/728/next -> origin/gh/swolchok/728/next 2025-08-14T21:03:59.4175189Z * [new branch] gh/swolchok/758/base -> origin/gh/swolchok/758/base 2025-08-14T21:03:59.4176267Z * [new branch] gh/swolchok/758/head -> origin/gh/swolchok/758/head 2025-08-14T21:03:59.4180690Z * [new branch] gh/swolchok/758/orig -> origin/gh/swolchok/758/orig 2025-08-14T21:03:59.4182317Z * [new branch] gh/swolchok/767/base -> origin/gh/swolchok/767/base 2025-08-14T21:03:59.4183592Z * [new branch] gh/swolchok/767/head -> origin/gh/swolchok/767/head 2025-08-14T21:03:59.4184858Z * [new branch] gh/swolchok/767/orig -> origin/gh/swolchok/767/orig 2025-08-14T21:03:59.4186833Z * [new branch] gh/swolchok/768/base -> origin/gh/swolchok/768/base 2025-08-14T21:03:59.4187923Z * [new branch] gh/swolchok/768/head -> origin/gh/swolchok/768/head 2025-08-14T21:03:59.4189075Z * [new branch] gh/swolchok/768/orig -> origin/gh/swolchok/768/orig 2025-08-14T21:03:59.4190631Z * [new branch] gh/swolchok/769/base -> origin/gh/swolchok/769/base 2025-08-14T21:03:59.4191710Z * [new branch] gh/swolchok/769/head -> origin/gh/swolchok/769/head 2025-08-14T21:03:59.4192872Z * [new branch] gh/swolchok/769/orig -> origin/gh/swolchok/769/orig 2025-08-14T21:03:59.4194171Z * [new branch] gh/swolchok/771/base -> origin/gh/swolchok/771/base 2025-08-14T21:03:59.4195211Z * [new branch] gh/swolchok/771/head -> origin/gh/swolchok/771/head 2025-08-14T21:03:59.4196277Z * [new branch] gh/swolchok/771/orig -> origin/gh/swolchok/771/orig 2025-08-14T21:03:59.4197587Z * [new branch] gh/swolchok/772/base -> origin/gh/swolchok/772/base 2025-08-14T21:03:59.4198652Z * [new branch] gh/swolchok/772/head -> origin/gh/swolchok/772/head 2025-08-14T21:03:59.4199669Z * [new branch] gh/swolchok/772/orig -> origin/gh/swolchok/772/orig 2025-08-14T21:03:59.4201245Z * [new branch] gh/swolchok/773/base -> origin/gh/swolchok/773/base 2025-08-14T21:03:59.4202150Z * [new branch] gh/swolchok/773/head -> origin/gh/swolchok/773/head 2025-08-14T21:03:59.4203279Z * [new branch] gh/swolchok/773/orig -> origin/gh/swolchok/773/orig 2025-08-14T21:03:59.4204608Z * [new branch] gh/swolchok/786/base -> origin/gh/swolchok/786/base 2025-08-14T21:03:59.4205582Z * [new branch] gh/swolchok/786/head -> origin/gh/swolchok/786/head 2025-08-14T21:03:59.4206603Z * [new branch] gh/swolchok/786/orig -> origin/gh/swolchok/786/orig 2025-08-14T21:03:59.4208237Z * [new branch] gh/swolchok/787/base -> origin/gh/swolchok/787/base 2025-08-14T21:03:59.4209225Z * [new branch] gh/swolchok/787/head -> origin/gh/swolchok/787/head 2025-08-14T21:03:59.4210206Z * [new branch] gh/swolchok/787/orig -> origin/gh/swolchok/787/orig 2025-08-14T21:03:59.4211742Z * [new branch] gh/syed-ahmed/2/base -> origin/gh/syed-ahmed/2/base 2025-08-14T21:03:59.4212706Z * [new branch] gh/syed-ahmed/2/head -> origin/gh/syed-ahmed/2/head 2025-08-14T21:03:59.4214104Z * [new branch] gh/syed-ahmed/2/orig -> origin/gh/syed-ahmed/2/orig 2025-08-14T21:03:59.4215433Z * [new branch] gh/syed-ahmed/3/base -> origin/gh/syed-ahmed/3/base 2025-08-14T21:03:59.4216497Z * [new branch] gh/syed-ahmed/3/head -> origin/gh/syed-ahmed/3/head 2025-08-14T21:03:59.4217491Z * [new branch] gh/syed-ahmed/3/orig -> origin/gh/syed-ahmed/3/orig 2025-08-14T21:03:59.4218840Z * [new branch] gh/syed-ahmed/4/base -> origin/gh/syed-ahmed/4/base 2025-08-14T21:03:59.4219809Z * [new branch] gh/syed-ahmed/4/head -> origin/gh/syed-ahmed/4/head 2025-08-14T21:03:59.4220784Z * [new branch] gh/syed-ahmed/4/orig -> origin/gh/syed-ahmed/4/orig 2025-08-14T21:03:59.4222376Z * [new branch] gh/teja-rao/3/base -> origin/gh/teja-rao/3/base 2025-08-14T21:03:59.4224050Z * [new branch] gh/teja-rao/3/head -> origin/gh/teja-rao/3/head 2025-08-14T21:03:59.4225007Z * [new branch] gh/teja-rao/3/orig -> origin/gh/teja-rao/3/orig 2025-08-14T21:03:59.4226665Z * [new branch] gh/tianyu-l/2/base -> origin/gh/tianyu-l/2/base 2025-08-14T21:03:59.4227787Z * [new branch] gh/tianyu-l/2/head -> origin/gh/tianyu-l/2/head 2025-08-14T21:03:59.4228802Z * [new branch] gh/tianyu-l/2/orig -> origin/gh/tianyu-l/2/orig 2025-08-14T21:03:59.4230570Z * [new branch] gh/titaiwangms/1/base -> origin/gh/titaiwangms/1/base 2025-08-14T21:03:59.4231542Z * [new branch] gh/titaiwangms/1/head -> origin/gh/titaiwangms/1/head 2025-08-14T21:03:59.4232573Z * [new branch] gh/titaiwangms/1/orig -> origin/gh/titaiwangms/1/orig 2025-08-14T21:03:59.4233866Z * [new branch] gh/titaiwangms/2/base -> origin/gh/titaiwangms/2/base 2025-08-14T21:03:59.4234890Z * [new branch] gh/titaiwangms/2/head -> origin/gh/titaiwangms/2/head 2025-08-14T21:03:59.4235840Z * [new branch] gh/titaiwangms/2/orig -> origin/gh/titaiwangms/2/orig 2025-08-14T21:03:59.4237140Z * [new branch] gh/titaiwangms/3/base -> origin/gh/titaiwangms/3/base 2025-08-14T21:03:59.4238151Z * [new branch] gh/titaiwangms/3/head -> origin/gh/titaiwangms/3/head 2025-08-14T21:03:59.4239110Z * [new branch] gh/titaiwangms/3/orig -> origin/gh/titaiwangms/3/orig 2025-08-14T21:03:59.4240459Z * [new branch] gh/titaiwangms/4/base -> origin/gh/titaiwangms/4/base 2025-08-14T21:03:59.4241418Z * [new branch] gh/titaiwangms/4/head -> origin/gh/titaiwangms/4/head 2025-08-14T21:03:59.4242604Z * [new branch] gh/titaiwangms/4/orig -> origin/gh/titaiwangms/4/orig 2025-08-14T21:03:59.4243750Z * [new branch] gh/titaiwangms/5/base -> origin/gh/titaiwangms/5/base 2025-08-14T21:03:59.4244726Z * [new branch] gh/titaiwangms/5/head -> origin/gh/titaiwangms/5/head 2025-08-14T21:03:59.4245737Z * [new branch] gh/titaiwangms/5/orig -> origin/gh/titaiwangms/5/orig 2025-08-14T21:03:59.4246989Z * [new branch] gh/titaiwangms/6/base -> origin/gh/titaiwangms/6/base 2025-08-14T21:03:59.4247964Z * [new branch] gh/titaiwangms/6/head -> origin/gh/titaiwangms/6/head 2025-08-14T21:03:59.4248992Z * [new branch] gh/titaiwangms/6/orig -> origin/gh/titaiwangms/6/orig 2025-08-14T21:03:59.4250734Z * [new branch] gh/titaiwangms/7/base -> origin/gh/titaiwangms/7/base 2025-08-14T21:03:59.4251711Z * [new branch] gh/titaiwangms/7/head -> origin/gh/titaiwangms/7/head 2025-08-14T21:03:59.4252659Z * [new branch] gh/titaiwangms/7/orig -> origin/gh/titaiwangms/7/orig 2025-08-14T21:03:59.4253971Z * [new branch] gh/titaiwangms/8/base -> origin/gh/titaiwangms/8/base 2025-08-14T21:03:59.4254873Z * [new branch] gh/titaiwangms/8/head -> origin/gh/titaiwangms/8/head 2025-08-14T21:03:59.4255967Z * [new branch] gh/titaiwangms/8/orig -> origin/gh/titaiwangms/8/orig 2025-08-14T21:03:59.4257597Z * [new branch] gh/tugsbayasgalan/1/base -> origin/gh/tugsbayasgalan/1/base 2025-08-14T21:03:59.4258964Z * [new branch] gh/tugsbayasgalan/1/head -> origin/gh/tugsbayasgalan/1/head 2025-08-14T21:03:59.4259932Z * [new branch] gh/tugsbayasgalan/1/orig -> origin/gh/tugsbayasgalan/1/orig 2025-08-14T21:03:59.4261567Z * [new branch] gh/v0i0/1/base -> origin/gh/v0i0/1/base 2025-08-14T21:03:59.4262530Z * [new branch] gh/v0i0/1/head -> origin/gh/v0i0/1/head 2025-08-14T21:03:59.4263491Z * [new branch] gh/v0i0/1/orig -> origin/gh/v0i0/1/orig 2025-08-14T21:03:59.4264762Z * [new branch] gh/v0i0/2/base -> origin/gh/v0i0/2/base 2025-08-14T21:03:59.4265840Z * [new branch] gh/v0i0/2/head -> origin/gh/v0i0/2/head 2025-08-14T21:03:59.4266868Z * [new branch] gh/v0i0/2/orig -> origin/gh/v0i0/2/orig 2025-08-14T21:03:59.4268184Z * [new branch] gh/v0i0/3/base -> origin/gh/v0i0/3/base 2025-08-14T21:03:59.4269229Z * [new branch] gh/v0i0/3/head -> origin/gh/v0i0/3/head 2025-08-14T21:03:59.4270246Z * [new branch] gh/v0i0/3/orig -> origin/gh/v0i0/3/orig 2025-08-14T21:03:59.4271530Z * [new branch] gh/v0i0/4/base -> origin/gh/v0i0/4/base 2025-08-14T21:03:59.4272575Z * [new branch] gh/v0i0/4/head -> origin/gh/v0i0/4/head 2025-08-14T21:03:59.4273566Z * [new branch] gh/v0i0/4/orig -> origin/gh/v0i0/4/orig 2025-08-14T21:03:59.4274845Z * [new branch] gh/v0i0/5/base -> origin/gh/v0i0/5/base 2025-08-14T21:03:59.4275806Z * [new branch] gh/v0i0/5/head -> origin/gh/v0i0/5/head 2025-08-14T21:03:59.4277068Z * [new branch] gh/v0i0/5/orig -> origin/gh/v0i0/5/orig 2025-08-14T21:03:59.4278418Z * [new branch] gh/v0i0/6/base -> origin/gh/v0i0/6/base 2025-08-14T21:03:59.4279376Z * [new branch] gh/v0i0/6/head -> origin/gh/v0i0/6/head 2025-08-14T21:03:59.4280380Z * [new branch] gh/v0i0/6/orig -> origin/gh/v0i0/6/orig 2025-08-14T21:03:59.4282530Z * [new branch] gh/vkuzo/1/next -> origin/gh/vkuzo/1/next 2025-08-14T21:03:59.4283834Z * [new branch] gh/vkuzo/2/next -> origin/gh/vkuzo/2/next 2025-08-14T21:03:59.4285275Z * [new branch] gh/vkuzo/3/next -> origin/gh/vkuzo/3/next 2025-08-14T21:03:59.4286811Z * [new branch] gh/wconstab/392/base -> origin/gh/wconstab/392/base 2025-08-14T21:03:59.4287858Z * [new branch] gh/wconstab/392/head -> origin/gh/wconstab/392/head 2025-08-14T21:03:59.4288845Z * [new branch] gh/wconstab/392/orig -> origin/gh/wconstab/392/orig 2025-08-14T21:03:59.4290218Z * [new branch] gh/wconstab/419/base -> origin/gh/wconstab/419/base 2025-08-14T21:03:59.4291135Z * [new branch] gh/wconstab/419/head -> origin/gh/wconstab/419/head 2025-08-14T21:03:59.4292145Z * [new branch] gh/wconstab/419/orig -> origin/gh/wconstab/419/orig 2025-08-14T21:03:59.4293824Z * [new branch] gh/wconstab/424/base -> origin/gh/wconstab/424/base 2025-08-14T21:03:59.4294758Z * [new branch] gh/wconstab/424/head -> origin/gh/wconstab/424/head 2025-08-14T21:03:59.4295780Z * [new branch] gh/wconstab/424/orig -> origin/gh/wconstab/424/orig 2025-08-14T21:03:59.4297051Z * [new branch] gh/wconstab/425/base -> origin/gh/wconstab/425/base 2025-08-14T21:03:59.4298094Z * [new branch] gh/wconstab/425/head -> origin/gh/wconstab/425/head 2025-08-14T21:03:59.4299085Z * [new branch] gh/wconstab/425/orig -> origin/gh/wconstab/425/orig 2025-08-14T21:03:59.4300448Z * [new branch] gh/wconstab/426/base -> origin/gh/wconstab/426/base 2025-08-14T21:03:59.4301395Z * [new branch] gh/wconstab/426/head -> origin/gh/wconstab/426/head 2025-08-14T21:03:59.4302345Z * [new branch] gh/wconstab/426/orig -> origin/gh/wconstab/426/orig 2025-08-14T21:03:59.4303667Z * [new branch] gh/wconstab/427/base -> origin/gh/wconstab/427/base 2025-08-14T21:03:59.4304693Z * [new branch] gh/wconstab/427/head -> origin/gh/wconstab/427/head 2025-08-14T21:03:59.4305766Z * [new branch] gh/wconstab/427/orig -> origin/gh/wconstab/427/orig 2025-08-14T21:03:59.4307225Z * [new branch] gh/wconstab/428/base -> origin/gh/wconstab/428/base 2025-08-14T21:03:59.4308252Z * [new branch] gh/wconstab/428/head -> origin/gh/wconstab/428/head 2025-08-14T21:03:59.4309266Z * [new branch] gh/wconstab/428/orig -> origin/gh/wconstab/428/orig 2025-08-14T21:03:59.4310861Z * [new branch] gh/wconstab/429/base -> origin/gh/wconstab/429/base 2025-08-14T21:03:59.4311962Z * [new branch] gh/wconstab/429/head -> origin/gh/wconstab/429/head 2025-08-14T21:03:59.4312985Z * [new branch] gh/wconstab/429/orig -> origin/gh/wconstab/429/orig 2025-08-14T21:03:59.4314339Z * [new branch] gh/wconstab/430/base -> origin/gh/wconstab/430/base 2025-08-14T21:03:59.4315373Z * [new branch] gh/wconstab/430/head -> origin/gh/wconstab/430/head 2025-08-14T21:03:59.4316348Z * [new branch] gh/wconstab/430/orig -> origin/gh/wconstab/430/orig 2025-08-14T21:03:59.4317761Z * [new branch] gh/wconstab/431/base -> origin/gh/wconstab/431/base 2025-08-14T21:03:59.4318787Z * [new branch] gh/wconstab/431/head -> origin/gh/wconstab/431/head 2025-08-14T21:03:59.4320250Z * [new branch] gh/wconstab/431/orig -> origin/gh/wconstab/431/orig 2025-08-14T21:03:59.4321728Z * [new branch] gh/wconstab/432/base -> origin/gh/wconstab/432/base 2025-08-14T21:03:59.4322700Z * [new branch] gh/wconstab/432/head -> origin/gh/wconstab/432/head 2025-08-14T21:03:59.4323681Z * [new branch] gh/wconstab/432/orig -> origin/gh/wconstab/432/orig 2025-08-14T21:03:59.4324983Z * [new branch] gh/wconstab/433/base -> origin/gh/wconstab/433/base 2025-08-14T21:03:59.4326081Z * [new branch] gh/wconstab/433/head -> origin/gh/wconstab/433/head 2025-08-14T21:03:59.4326869Z * [new branch] gh/wconstab/433/orig -> origin/gh/wconstab/433/orig 2025-08-14T21:03:59.4328138Z * [new branch] gh/wconstab/434/base -> origin/gh/wconstab/434/base 2025-08-14T21:03:59.4329145Z * [new branch] gh/wconstab/434/head -> origin/gh/wconstab/434/head 2025-08-14T21:03:59.4330200Z * [new branch] gh/wconstab/434/orig -> origin/gh/wconstab/434/orig 2025-08-14T21:03:59.4331495Z * [new branch] gh/wconstab/435/base -> origin/gh/wconstab/435/base 2025-08-14T21:03:59.4332487Z * [new branch] gh/wconstab/435/head -> origin/gh/wconstab/435/head 2025-08-14T21:03:59.4333483Z * [new branch] gh/wconstab/435/orig -> origin/gh/wconstab/435/orig 2025-08-14T21:03:59.4334949Z * [new branch] gh/wconstab/436/base -> origin/gh/wconstab/436/base 2025-08-14T21:03:59.4335957Z * [new branch] gh/wconstab/436/head -> origin/gh/wconstab/436/head 2025-08-14T21:03:59.4336915Z * [new branch] gh/wconstab/436/orig -> origin/gh/wconstab/436/orig 2025-08-14T21:03:59.4338241Z * [new branch] gh/wconstab/437/base -> origin/gh/wconstab/437/base 2025-08-14T21:03:59.4339325Z * [new branch] gh/wconstab/437/head -> origin/gh/wconstab/437/head 2025-08-14T21:03:59.4340335Z * [new branch] gh/wconstab/437/orig -> origin/gh/wconstab/437/orig 2025-08-14T21:03:59.4341958Z * [new branch] gh/wconstab/438/base -> origin/gh/wconstab/438/base 2025-08-14T21:03:59.4342935Z * [new branch] gh/wconstab/438/head -> origin/gh/wconstab/438/head 2025-08-14T21:03:59.4343956Z * [new branch] gh/wconstab/438/orig -> origin/gh/wconstab/438/orig 2025-08-14T21:03:59.4345152Z * [new branch] gh/wconstab/439/base -> origin/gh/wconstab/439/base 2025-08-14T21:03:59.4346344Z * [new branch] gh/wconstab/439/head -> origin/gh/wconstab/439/head 2025-08-14T21:03:59.4347438Z * [new branch] gh/wconstab/439/orig -> origin/gh/wconstab/439/orig 2025-08-14T21:03:59.4348882Z * [new branch] gh/wconstab/440/base -> origin/gh/wconstab/440/base 2025-08-14T21:03:59.4350056Z * [new branch] gh/wconstab/440/head -> origin/gh/wconstab/440/head 2025-08-14T21:03:59.4351109Z * [new branch] gh/wconstab/440/orig -> origin/gh/wconstab/440/orig 2025-08-14T21:03:59.4352619Z * [new branch] gh/wconstab/441/base -> origin/gh/wconstab/441/base 2025-08-14T21:03:59.4353563Z * [new branch] gh/wconstab/441/head -> origin/gh/wconstab/441/head 2025-08-14T21:03:59.4354586Z * [new branch] gh/wconstab/441/orig -> origin/gh/wconstab/441/orig 2025-08-14T21:03:59.4355812Z * [new branch] gh/wconstab/442/base -> origin/gh/wconstab/442/base 2025-08-14T21:03:59.4356799Z * [new branch] gh/wconstab/442/head -> origin/gh/wconstab/442/head 2025-08-14T21:03:59.4357812Z * [new branch] gh/wconstab/442/orig -> origin/gh/wconstab/442/orig 2025-08-14T21:03:59.4359439Z * [new branch] gh/weifengpy/27/base -> origin/gh/weifengpy/27/base 2025-08-14T21:03:59.4360424Z * [new branch] gh/weifengpy/27/head -> origin/gh/weifengpy/27/head 2025-08-14T21:03:59.4361391Z * [new branch] gh/weifengpy/27/orig -> origin/gh/weifengpy/27/orig 2025-08-14T21:03:59.4362872Z * [new branch] gh/weifengpy/30/base -> origin/gh/weifengpy/30/base 2025-08-14T21:03:59.4363846Z * [new branch] gh/weifengpy/30/head -> origin/gh/weifengpy/30/head 2025-08-14T21:03:59.4364833Z * [new branch] gh/weifengpy/30/orig -> origin/gh/weifengpy/30/orig 2025-08-14T21:03:59.4366192Z * [new branch] gh/weifengpy/31/base -> origin/gh/weifengpy/31/base 2025-08-14T21:03:59.4366953Z * [new branch] gh/weifengpy/31/head -> origin/gh/weifengpy/31/head 2025-08-14T21:03:59.4367981Z * [new branch] gh/weifengpy/31/orig -> origin/gh/weifengpy/31/orig 2025-08-14T21:03:59.4369192Z * [new branch] gh/weifengpy/32/base -> origin/gh/weifengpy/32/base 2025-08-14T21:03:59.4370200Z * [new branch] gh/weifengpy/32/head -> origin/gh/weifengpy/32/head 2025-08-14T21:03:59.4373878Z * [new branch] gh/weifengpy/32/orig -> origin/gh/weifengpy/32/orig 2025-08-14T21:03:59.4374092Z * [new branch] gh/weifengpy/33/base -> origin/gh/weifengpy/33/base 2025-08-14T21:03:59.4374319Z * [new branch] gh/weifengpy/33/head -> origin/gh/weifengpy/33/head 2025-08-14T21:03:59.4374542Z * [new branch] gh/weifengpy/33/orig -> origin/gh/weifengpy/33/orig 2025-08-14T21:03:59.4376115Z * [new branch] gh/williamwen42/196/base -> origin/gh/williamwen42/196/base 2025-08-14T21:03:59.4377355Z * [new branch] gh/williamwen42/196/head -> origin/gh/williamwen42/196/head 2025-08-14T21:03:59.4378341Z * [new branch] gh/williamwen42/196/orig -> origin/gh/williamwen42/196/orig 2025-08-14T21:03:59.4379800Z * [new branch] gh/williamwen42/209/base -> origin/gh/williamwen42/209/base 2025-08-14T21:03:59.4380767Z * [new branch] gh/williamwen42/209/head -> origin/gh/williamwen42/209/head 2025-08-14T21:03:59.4381809Z * [new branch] gh/williamwen42/209/orig -> origin/gh/williamwen42/209/orig 2025-08-14T21:03:59.4383145Z * [new branch] gh/williamwen42/250/base -> origin/gh/williamwen42/250/base 2025-08-14T21:03:59.4384138Z * [new branch] gh/williamwen42/250/head -> origin/gh/williamwen42/250/head 2025-08-14T21:03:59.4385140Z * [new branch] gh/williamwen42/250/orig -> origin/gh/williamwen42/250/orig 2025-08-14T21:03:59.4386532Z * [new branch] gh/williamwen42/252/base -> origin/gh/williamwen42/252/base 2025-08-14T21:03:59.4387519Z * [new branch] gh/williamwen42/252/head -> origin/gh/williamwen42/252/head 2025-08-14T21:03:59.4388562Z * [new branch] gh/williamwen42/252/orig -> origin/gh/williamwen42/252/orig 2025-08-14T21:03:59.4389912Z * [new branch] gh/williamwen42/256/base -> origin/gh/williamwen42/256/base 2025-08-14T21:03:59.4390901Z * [new branch] gh/williamwen42/256/head -> origin/gh/williamwen42/256/head 2025-08-14T21:03:59.4391867Z * [new branch] gh/williamwen42/256/orig -> origin/gh/williamwen42/256/orig 2025-08-14T21:03:59.4393201Z * [new branch] gh/williamwen42/258/base -> origin/gh/williamwen42/258/base 2025-08-14T21:03:59.4394251Z * [new branch] gh/williamwen42/258/head -> origin/gh/williamwen42/258/head 2025-08-14T21:03:59.4395244Z * [new branch] gh/williamwen42/258/orig -> origin/gh/williamwen42/258/orig 2025-08-14T21:03:59.4396567Z * [new branch] gh/williamwen42/260/base -> origin/gh/williamwen42/260/base 2025-08-14T21:03:59.4397622Z * [new branch] gh/williamwen42/260/head -> origin/gh/williamwen42/260/head 2025-08-14T21:03:59.4398583Z * [new branch] gh/williamwen42/260/orig -> origin/gh/williamwen42/260/orig 2025-08-14T21:03:59.4399973Z * [new branch] gh/williamwen42/261/base -> origin/gh/williamwen42/261/base 2025-08-14T21:03:59.4401356Z * [new branch] gh/williamwen42/261/head -> origin/gh/williamwen42/261/head 2025-08-14T21:03:59.4402458Z * [new branch] gh/williamwen42/261/orig -> origin/gh/williamwen42/261/orig 2025-08-14T21:03:59.4404060Z * [new branch] gh/williamwen42/262/base -> origin/gh/williamwen42/262/base 2025-08-14T21:03:59.4405091Z * [new branch] gh/williamwen42/262/head -> origin/gh/williamwen42/262/head 2025-08-14T21:03:59.4406033Z * [new branch] gh/williamwen42/262/orig -> origin/gh/williamwen42/262/orig 2025-08-14T21:03:59.4407296Z * [new branch] gh/williamwen42/263/base -> origin/gh/williamwen42/263/base 2025-08-14T21:03:59.4408316Z * [new branch] gh/williamwen42/263/head -> origin/gh/williamwen42/263/head 2025-08-14T21:03:59.4409275Z * [new branch] gh/williamwen42/263/orig -> origin/gh/williamwen42/263/orig 2025-08-14T21:03:59.4410611Z * [new branch] gh/williamwen42/264/base -> origin/gh/williamwen42/264/base 2025-08-14T21:03:59.4411705Z * [new branch] gh/williamwen42/264/head -> origin/gh/williamwen42/264/head 2025-08-14T21:03:59.4412704Z * [new branch] gh/williamwen42/264/orig -> origin/gh/williamwen42/264/orig 2025-08-14T21:03:59.4414084Z * [new branch] gh/williamwen42/265/base -> origin/gh/williamwen42/265/base 2025-08-14T21:03:59.4415127Z * [new branch] gh/williamwen42/265/head -> origin/gh/williamwen42/265/head 2025-08-14T21:03:59.4416193Z * [new branch] gh/williamwen42/265/orig -> origin/gh/williamwen42/265/orig 2025-08-14T21:03:59.4417474Z * [new branch] gh/williamwen42/266/base -> origin/gh/williamwen42/266/base 2025-08-14T21:03:59.4418287Z * [new branch] gh/williamwen42/266/head -> origin/gh/williamwen42/266/head 2025-08-14T21:03:59.4419495Z * [new branch] gh/williamwen42/266/orig -> origin/gh/williamwen42/266/orig 2025-08-14T21:03:59.4420725Z * [new branch] gh/williamwen42/267/base -> origin/gh/williamwen42/267/base 2025-08-14T21:03:59.4421641Z * [new branch] gh/williamwen42/267/head -> origin/gh/williamwen42/267/head 2025-08-14T21:03:59.4422626Z * [new branch] gh/williamwen42/267/orig -> origin/gh/williamwen42/267/orig 2025-08-14T21:03:59.4423955Z * [new branch] gh/williamwen42/268/base -> origin/gh/williamwen42/268/base 2025-08-14T21:03:59.4424932Z * [new branch] gh/williamwen42/268/head -> origin/gh/williamwen42/268/head 2025-08-14T21:03:59.4425971Z * [new branch] gh/williamwen42/268/orig -> origin/gh/williamwen42/268/orig 2025-08-14T21:03:59.4427227Z * [new branch] gh/williamwen42/269/base -> origin/gh/williamwen42/269/base 2025-08-14T21:03:59.4428131Z * [new branch] gh/williamwen42/269/head -> origin/gh/williamwen42/269/head 2025-08-14T21:03:59.4429301Z * [new branch] gh/williamwen42/269/orig -> origin/gh/williamwen42/269/orig 2025-08-14T21:03:59.4431030Z * [new branch] gh/williamwen42/270/base -> origin/gh/williamwen42/270/base 2025-08-14T21:03:59.4432019Z * [new branch] gh/williamwen42/270/head -> origin/gh/williamwen42/270/head 2025-08-14T21:03:59.4432996Z * [new branch] gh/williamwen42/270/orig -> origin/gh/williamwen42/270/orig 2025-08-14T21:03:59.4434396Z * [new branch] gh/williamwen42/271/base -> origin/gh/williamwen42/271/base 2025-08-14T21:03:59.4435338Z * [new branch] gh/williamwen42/271/head -> origin/gh/williamwen42/271/head 2025-08-14T21:03:59.4436310Z * [new branch] gh/williamwen42/271/orig -> origin/gh/williamwen42/271/orig 2025-08-14T21:03:59.4437702Z * [new branch] gh/williamwen42/272/base -> origin/gh/williamwen42/272/base 2025-08-14T21:03:59.4438712Z * [new branch] gh/williamwen42/272/head -> origin/gh/williamwen42/272/head 2025-08-14T21:03:59.4439683Z * [new branch] gh/williamwen42/272/orig -> origin/gh/williamwen42/272/orig 2025-08-14T21:03:59.4441128Z * [new branch] gh/williamwen42/273/base -> origin/gh/williamwen42/273/base 2025-08-14T21:03:59.4442229Z * [new branch] gh/williamwen42/273/head -> origin/gh/williamwen42/273/head 2025-08-14T21:03:59.4443395Z * [new branch] gh/williamwen42/273/orig -> origin/gh/williamwen42/273/orig 2025-08-14T21:03:59.4444622Z * [new branch] gh/williamwen42/274/base -> origin/gh/williamwen42/274/base 2025-08-14T21:03:59.4445657Z * [new branch] gh/williamwen42/274/head -> origin/gh/williamwen42/274/head 2025-08-14T21:03:59.4446658Z * [new branch] gh/williamwen42/274/orig -> origin/gh/williamwen42/274/orig 2025-08-14T21:03:59.4447876Z * [new branch] gh/williamwen42/275/base -> origin/gh/williamwen42/275/base 2025-08-14T21:03:59.4449294Z * [new branch] gh/williamwen42/275/head -> origin/gh/williamwen42/275/head 2025-08-14T21:03:59.4450488Z * [new branch] gh/williamwen42/276/base -> origin/gh/williamwen42/276/base 2025-08-14T21:03:59.4451472Z * [new branch] gh/williamwen42/276/head -> origin/gh/williamwen42/276/head 2025-08-14T21:03:59.4452463Z * [new branch] gh/williamwen42/276/orig -> origin/gh/williamwen42/276/orig 2025-08-14T21:03:59.4453918Z * [new branch] gh/williamwen42/277/base -> origin/gh/williamwen42/277/base 2025-08-14T21:03:59.4454887Z * [new branch] gh/williamwen42/277/head -> origin/gh/williamwen42/277/head 2025-08-14T21:03:59.4455863Z * [new branch] gh/williamwen42/277/orig -> origin/gh/williamwen42/277/orig 2025-08-14T21:03:59.4457183Z * [new branch] gh/williamwen42/278/base -> origin/gh/williamwen42/278/base 2025-08-14T21:03:59.4458165Z * [new branch] gh/williamwen42/278/head -> origin/gh/williamwen42/278/head 2025-08-14T21:03:59.4459181Z * [new branch] gh/williamwen42/278/orig -> origin/gh/williamwen42/278/orig 2025-08-14T21:03:59.4460369Z * [new branch] gh/williamwen42/279/base -> origin/gh/williamwen42/279/base 2025-08-14T21:03:59.4461772Z * [new branch] gh/williamwen42/279/head -> origin/gh/williamwen42/279/head 2025-08-14T21:03:59.4462778Z * [new branch] gh/williamwen42/279/orig -> origin/gh/williamwen42/279/orig 2025-08-14T21:03:59.4464415Z * [new branch] gh/xmfan/169/base -> origin/gh/xmfan/169/base 2025-08-14T21:03:59.4465408Z * [new branch] gh/xmfan/169/head -> origin/gh/xmfan/169/head 2025-08-14T21:03:59.4466735Z * [new branch] gh/xmfan/170/base -> origin/gh/xmfan/170/base 2025-08-14T21:03:59.4467556Z * [new branch] gh/xmfan/170/head -> origin/gh/xmfan/170/head 2025-08-14T21:03:59.4469469Z * [new branch] gh/xmfan/18/base -> origin/gh/xmfan/18/base 2025-08-14T21:03:59.4470459Z * [new branch] gh/xmfan/18/head -> origin/gh/xmfan/18/head 2025-08-14T21:03:59.4471806Z * [new branch] gh/xmfan/228/base -> origin/gh/xmfan/228/base 2025-08-14T21:03:59.4473149Z * [new branch] gh/xmfan/228/head -> origin/gh/xmfan/228/head 2025-08-14T21:03:59.4474141Z * [new branch] gh/xmfan/228/orig -> origin/gh/xmfan/228/orig 2025-08-14T21:03:59.4475395Z * [new branch] gh/xmfan/229/base -> origin/gh/xmfan/229/base 2025-08-14T21:03:59.4476588Z * [new branch] gh/xmfan/229/head -> origin/gh/xmfan/229/head 2025-08-14T21:03:59.4477629Z * [new branch] gh/xmfan/229/orig -> origin/gh/xmfan/229/orig 2025-08-14T21:03:59.4478911Z * [new branch] gh/xmfan/237/base -> origin/gh/xmfan/237/base 2025-08-14T21:03:59.4479903Z * [new branch] gh/xmfan/237/head -> origin/gh/xmfan/237/head 2025-08-14T21:03:59.4480881Z * [new branch] gh/xmfan/237/orig -> origin/gh/xmfan/237/orig 2025-08-14T21:03:59.4482188Z * [new branch] gh/xmfan/244/base -> origin/gh/xmfan/244/base 2025-08-14T21:03:59.4483256Z * [new branch] gh/xmfan/244/head -> origin/gh/xmfan/244/head 2025-08-14T21:03:59.4484375Z * [new branch] gh/xmfan/244/orig -> origin/gh/xmfan/244/orig 2025-08-14T21:03:59.4485549Z * [new branch] gh/xmfan/246/base -> origin/gh/xmfan/246/base 2025-08-14T21:03:59.4486500Z * [new branch] gh/xmfan/246/head -> origin/gh/xmfan/246/head 2025-08-14T21:03:59.4487476Z * [new branch] gh/xmfan/246/orig -> origin/gh/xmfan/246/orig 2025-08-14T21:03:59.4488724Z * [new branch] gh/xmfan/253/base -> origin/gh/xmfan/253/base 2025-08-14T21:03:59.4489716Z * [new branch] gh/xmfan/253/head -> origin/gh/xmfan/253/head 2025-08-14T21:03:59.4490657Z * [new branch] gh/xmfan/253/orig -> origin/gh/xmfan/253/orig 2025-08-14T21:03:59.4491936Z * [new branch] gh/xmfan/254/base -> origin/gh/xmfan/254/base 2025-08-14T21:03:59.4492926Z * [new branch] gh/xmfan/254/head -> origin/gh/xmfan/254/head 2025-08-14T21:03:59.4493914Z * [new branch] gh/xmfan/254/orig -> origin/gh/xmfan/254/orig 2025-08-14T21:03:59.4495181Z * [new branch] gh/xmfan/260/base -> origin/gh/xmfan/260/base 2025-08-14T21:03:59.4496224Z * [new branch] gh/xmfan/260/head -> origin/gh/xmfan/260/head 2025-08-14T21:03:59.4497189Z * [new branch] gh/xmfan/260/orig -> origin/gh/xmfan/260/orig 2025-08-14T21:03:59.4498491Z * [new branch] gh/xmfan/262/base -> origin/gh/xmfan/262/base 2025-08-14T21:03:59.4499945Z * [new branch] gh/xmfan/262/head -> origin/gh/xmfan/262/head 2025-08-14T21:03:59.4500921Z * [new branch] gh/xmfan/262/orig -> origin/gh/xmfan/262/orig 2025-08-14T21:03:59.4502176Z * [new branch] gh/xmfan/263/base -> origin/gh/xmfan/263/base 2025-08-14T21:03:59.4503141Z * [new branch] gh/xmfan/263/head -> origin/gh/xmfan/263/head 2025-08-14T21:03:59.4504093Z * [new branch] gh/xmfan/263/orig -> origin/gh/xmfan/263/orig 2025-08-14T21:03:59.4505361Z * [new branch] gh/xmfan/264/base -> origin/gh/xmfan/264/base 2025-08-14T21:03:59.4506462Z * [new branch] gh/xmfan/264/head -> origin/gh/xmfan/264/head 2025-08-14T21:03:59.4507469Z * [new branch] gh/xmfan/264/orig -> origin/gh/xmfan/264/orig 2025-08-14T21:03:59.4508772Z * [new branch] gh/xmfan/268/base -> origin/gh/xmfan/268/base 2025-08-14T21:03:59.4509891Z * [new branch] gh/xmfan/268/head -> origin/gh/xmfan/268/head 2025-08-14T21:03:59.4510886Z * [new branch] gh/xmfan/268/orig -> origin/gh/xmfan/268/orig 2025-08-14T21:03:59.4512143Z * [new branch] gh/xmfan/269/base -> origin/gh/xmfan/269/base 2025-08-14T21:03:59.4516740Z * [new branch] gh/xmfan/269/head -> origin/gh/xmfan/269/head 2025-08-14T21:03:59.4517769Z * [new branch] gh/xmfan/269/orig -> origin/gh/xmfan/269/orig 2025-08-14T21:03:59.4519111Z * [new branch] gh/xmfan/270/base -> origin/gh/xmfan/270/base 2025-08-14T21:03:59.4520082Z * [new branch] gh/xmfan/270/head -> origin/gh/xmfan/270/head 2025-08-14T21:03:59.4521059Z * [new branch] gh/xmfan/270/orig -> origin/gh/xmfan/270/orig 2025-08-14T21:03:59.4522812Z * [new branch] gh/xmfan/271/base -> origin/gh/xmfan/271/base 2025-08-14T21:03:59.4523818Z * [new branch] gh/xmfan/271/head -> origin/gh/xmfan/271/head 2025-08-14T21:03:59.4524774Z * [new branch] gh/xmfan/271/orig -> origin/gh/xmfan/271/orig 2025-08-14T21:03:59.4526139Z * [new branch] gh/xmfan/272/base -> origin/gh/xmfan/272/base 2025-08-14T21:03:59.4527218Z * [new branch] gh/xmfan/272/head -> origin/gh/xmfan/272/head 2025-08-14T21:03:59.4528338Z * [new branch] gh/xmfan/272/orig -> origin/gh/xmfan/272/orig 2025-08-14T21:03:59.4529578Z * [new branch] gh/xmfan/273/base -> origin/gh/xmfan/273/base 2025-08-14T21:03:59.4530587Z * [new branch] gh/xmfan/273/head -> origin/gh/xmfan/273/head 2025-08-14T21:03:59.4531544Z * [new branch] gh/xmfan/273/orig -> origin/gh/xmfan/273/orig 2025-08-14T21:03:59.4532892Z * [new branch] gh/xmfan/274/base -> origin/gh/xmfan/274/base 2025-08-14T21:03:59.4533895Z * [new branch] gh/xmfan/274/head -> origin/gh/xmfan/274/head 2025-08-14T21:03:59.4534879Z * [new branch] gh/xmfan/274/orig -> origin/gh/xmfan/274/orig 2025-08-14T21:03:59.4536228Z * [new branch] gh/xmfan/275/base -> origin/gh/xmfan/275/base 2025-08-14T21:03:59.4537170Z * [new branch] gh/xmfan/275/head -> origin/gh/xmfan/275/head 2025-08-14T21:03:59.4538175Z * [new branch] gh/xmfan/275/orig -> origin/gh/xmfan/275/orig 2025-08-14T21:03:59.4539487Z * [new branch] gh/xmfan/276/base -> origin/gh/xmfan/276/base 2025-08-14T21:03:59.4540554Z * [new branch] gh/xmfan/276/head -> origin/gh/xmfan/276/head 2025-08-14T21:03:59.4541931Z * [new branch] gh/xmfan/276/orig -> origin/gh/xmfan/276/orig 2025-08-14T21:03:59.4543509Z * [new branch] gh/xuanzhang816/12/base -> origin/gh/xuanzhang816/12/base 2025-08-14T21:03:59.4544486Z * [new branch] gh/xuanzhang816/12/head -> origin/gh/xuanzhang816/12/head 2025-08-14T21:03:59.4545451Z * [new branch] gh/xuanzhang816/12/orig -> origin/gh/xuanzhang816/12/orig 2025-08-14T21:03:59.4546904Z * [new branch] gh/xuanzhang816/14/base -> origin/gh/xuanzhang816/14/base 2025-08-14T21:03:59.4547862Z * [new branch] gh/xuanzhang816/14/head -> origin/gh/xuanzhang816/14/head 2025-08-14T21:03:59.4548909Z * [new branch] gh/xuanzhang816/14/orig -> origin/gh/xuanzhang816/14/orig 2025-08-14T21:03:59.4550239Z * [new branch] gh/xuanzhang816/18/base -> origin/gh/xuanzhang816/18/base 2025-08-14T21:03:59.4551190Z * [new branch] gh/xuanzhang816/18/head -> origin/gh/xuanzhang816/18/head 2025-08-14T21:03:59.4552091Z * [new branch] gh/xuanzhang816/18/orig -> origin/gh/xuanzhang816/18/orig 2025-08-14T21:03:59.4553685Z * [new branch] gh/xuanzhang816/19/base -> origin/gh/xuanzhang816/19/base 2025-08-14T21:03:59.4554684Z * [new branch] gh/xuanzhang816/19/head -> origin/gh/xuanzhang816/19/head 2025-08-14T21:03:59.4555619Z * [new branch] gh/xuanzhang816/19/orig -> origin/gh/xuanzhang816/19/orig 2025-08-14T21:03:59.4556900Z * [new branch] gh/xuanzhang816/20/base -> origin/gh/xuanzhang816/20/base 2025-08-14T21:03:59.4557895Z * [new branch] gh/xuanzhang816/20/head -> origin/gh/xuanzhang816/20/head 2025-08-14T21:03:59.4558851Z * [new branch] gh/xuanzhang816/20/orig -> origin/gh/xuanzhang816/20/orig 2025-08-14T21:03:59.4560136Z * [new branch] gh/xuanzhang816/21/base -> origin/gh/xuanzhang816/21/base 2025-08-14T21:03:59.4561095Z * [new branch] gh/xuanzhang816/21/head -> origin/gh/xuanzhang816/21/head 2025-08-14T21:03:59.4562101Z * [new branch] gh/xuanzhang816/21/orig -> origin/gh/xuanzhang816/21/orig 2025-08-14T21:03:59.4563375Z * [new branch] gh/xuanzhang816/22/base -> origin/gh/xuanzhang816/22/base 2025-08-14T21:03:59.4564340Z * [new branch] gh/xuanzhang816/22/head -> origin/gh/xuanzhang816/22/head 2025-08-14T21:03:59.4565325Z * [new branch] gh/xuanzhang816/22/orig -> origin/gh/xuanzhang816/22/orig 2025-08-14T21:03:59.4566727Z * [new branch] gh/xuanzhang816/23/base -> origin/gh/xuanzhang816/23/base 2025-08-14T21:03:59.4567821Z * [new branch] gh/xuanzhang816/23/head -> origin/gh/xuanzhang816/23/head 2025-08-14T21:03:59.4568592Z * [new branch] gh/xuanzhang816/23/orig -> origin/gh/xuanzhang816/23/orig 2025-08-14T21:03:59.4569962Z * [new branch] gh/xuanzhang816/24/base -> origin/gh/xuanzhang816/24/base 2025-08-14T21:03:59.4570937Z * [new branch] gh/xuanzhang816/24/head -> origin/gh/xuanzhang816/24/head 2025-08-14T21:03:59.4571896Z * [new branch] gh/xuanzhang816/24/orig -> origin/gh/xuanzhang816/24/orig 2025-08-14T21:03:59.4573431Z * [new branch] gh/yanbing-j/11/base -> origin/gh/yanbing-j/11/base 2025-08-14T21:03:59.4574401Z * [new branch] gh/yanbing-j/11/head -> origin/gh/yanbing-j/11/head 2025-08-14T21:03:59.4575375Z * [new branch] gh/yanbing-j/11/orig -> origin/gh/yanbing-j/11/orig 2025-08-14T21:03:59.4580486Z * [new branch] gh/yanbing-j/12/base -> origin/gh/yanbing-j/12/base 2025-08-14T21:03:59.4582037Z * [new branch] gh/yanbing-j/12/head -> origin/gh/yanbing-j/12/head 2025-08-14T21:03:59.4583070Z * [new branch] gh/yanbing-j/12/orig -> origin/gh/yanbing-j/12/orig 2025-08-14T21:03:59.4584539Z * [new branch] gh/yanbing-j/13/base -> origin/gh/yanbing-j/13/base 2025-08-14T21:03:59.4585551Z * [new branch] gh/yanbing-j/13/head -> origin/gh/yanbing-j/13/head 2025-08-14T21:03:59.4586612Z * [new branch] gh/yanbing-j/13/orig -> origin/gh/yanbing-j/13/orig 2025-08-14T21:03:59.4588039Z * [new branch] gh/yanbing-j/14/base -> origin/gh/yanbing-j/14/base 2025-08-14T21:03:59.4589018Z * [new branch] gh/yanbing-j/14/head -> origin/gh/yanbing-j/14/head 2025-08-14T21:03:59.4590033Z * [new branch] gh/yanbing-j/14/orig -> origin/gh/yanbing-j/14/orig 2025-08-14T21:03:59.4591308Z * [new branch] gh/yanbing-j/15/base -> origin/gh/yanbing-j/15/base 2025-08-14T21:03:59.4592312Z * [new branch] gh/yanbing-j/15/head -> origin/gh/yanbing-j/15/head 2025-08-14T21:03:59.4593308Z * [new branch] gh/yanbing-j/15/orig -> origin/gh/yanbing-j/15/orig 2025-08-14T21:03:59.4594539Z * [new branch] gh/yanbing-j/18/base -> origin/gh/yanbing-j/18/base 2025-08-14T21:03:59.4595409Z * [new branch] gh/yanbing-j/18/head -> origin/gh/yanbing-j/18/head 2025-08-14T21:03:59.4596426Z * [new branch] gh/yanbing-j/18/orig -> origin/gh/yanbing-j/18/orig 2025-08-14T21:03:59.4597806Z * [new branch] gh/yanbing-j/19/base -> origin/gh/yanbing-j/19/base 2025-08-14T21:03:59.4598835Z * [new branch] gh/yanbing-j/19/head -> origin/gh/yanbing-j/19/head 2025-08-14T21:03:59.4599786Z * [new branch] gh/yanbing-j/19/orig -> origin/gh/yanbing-j/19/orig 2025-08-14T21:03:59.4601079Z * [new branch] gh/yanbing-j/20/base -> origin/gh/yanbing-j/20/base 2025-08-14T21:03:59.4602028Z * [new branch] gh/yanbing-j/20/head -> origin/gh/yanbing-j/20/head 2025-08-14T21:03:59.4603037Z * [new branch] gh/yanbing-j/20/orig -> origin/gh/yanbing-j/20/orig 2025-08-14T21:03:59.4604328Z * [new branch] gh/yanbing-j/21/base -> origin/gh/yanbing-j/21/base 2025-08-14T21:03:59.4605301Z * [new branch] gh/yanbing-j/21/head -> origin/gh/yanbing-j/21/head 2025-08-14T21:03:59.4606542Z * [new branch] gh/yanbing-j/22/base -> origin/gh/yanbing-j/22/base 2025-08-14T21:03:59.4607502Z * [new branch] gh/yanbing-j/22/head -> origin/gh/yanbing-j/22/head 2025-08-14T21:03:59.4608504Z * [new branch] gh/yanbing-j/22/orig -> origin/gh/yanbing-j/22/orig 2025-08-14T21:03:59.4609864Z * [new branch] gh/yanbing-j/23/base -> origin/gh/yanbing-j/23/base 2025-08-14T21:03:59.4610956Z * [new branch] gh/yanbing-j/23/head -> origin/gh/yanbing-j/23/head 2025-08-14T21:03:59.4611748Z * [new branch] gh/yanbing-j/23/orig -> origin/gh/yanbing-j/23/orig 2025-08-14T21:03:59.4613123Z * [new branch] gh/yanbing-j/24/base -> origin/gh/yanbing-j/24/base 2025-08-14T21:03:59.4614099Z * [new branch] gh/yanbing-j/24/head -> origin/gh/yanbing-j/24/head 2025-08-14T21:03:59.4615076Z * [new branch] gh/yanbing-j/24/orig -> origin/gh/yanbing-j/24/orig 2025-08-14T21:03:59.4616387Z * [new branch] gh/yanbing-j/25/base -> origin/gh/yanbing-j/25/base 2025-08-14T21:03:59.4617355Z * [new branch] gh/yanbing-j/25/head -> origin/gh/yanbing-j/25/head 2025-08-14T21:03:59.4618348Z * [new branch] gh/yanbing-j/25/orig -> origin/gh/yanbing-j/25/orig 2025-08-14T21:03:59.4620039Z * [new branch] gh/yanbing-j/26/base -> origin/gh/yanbing-j/26/base 2025-08-14T21:03:59.4621020Z * [new branch] gh/yanbing-j/26/head -> origin/gh/yanbing-j/26/head 2025-08-14T21:03:59.4622076Z * [new branch] gh/yanbing-j/26/orig -> origin/gh/yanbing-j/26/orig 2025-08-14T21:03:59.4623458Z * [new branch] gh/yanbing-j/36/base -> origin/gh/yanbing-j/36/base 2025-08-14T21:03:59.4624445Z * [new branch] gh/yanbing-j/36/head -> origin/gh/yanbing-j/36/head 2025-08-14T21:03:59.4625402Z * [new branch] gh/yanbing-j/36/orig -> origin/gh/yanbing-j/36/orig 2025-08-14T21:03:59.4626834Z * [new branch] gh/yanbing-j/37/base -> origin/gh/yanbing-j/37/base 2025-08-14T21:03:59.4627797Z * [new branch] gh/yanbing-j/37/head -> origin/gh/yanbing-j/37/head 2025-08-14T21:03:59.4628799Z * [new branch] gh/yanbing-j/37/orig -> origin/gh/yanbing-j/37/orig 2025-08-14T21:03:59.4630080Z * [new branch] gh/yanbing-j/39/base -> origin/gh/yanbing-j/39/base 2025-08-14T21:03:59.4631070Z * [new branch] gh/yanbing-j/39/head -> origin/gh/yanbing-j/39/head 2025-08-14T21:03:59.4632085Z * [new branch] gh/yanbing-j/39/orig -> origin/gh/yanbing-j/39/orig 2025-08-14T21:03:59.4633615Z * [new branch] gh/yangw-dev/1/base -> origin/gh/yangw-dev/1/base 2025-08-14T21:03:59.4634876Z * [new branch] gh/yangw-dev/10/base -> origin/gh/yangw-dev/10/base 2025-08-14T21:03:59.4635948Z * [new branch] gh/yangw-dev/10/head -> origin/gh/yangw-dev/10/head 2025-08-14T21:03:59.4636921Z * [new branch] gh/yangw-dev/10/orig -> origin/gh/yangw-dev/10/orig 2025-08-14T21:03:59.4638151Z * [new branch] gh/yangw-dev/11/base -> origin/gh/yangw-dev/11/base 2025-08-14T21:03:59.4639133Z * [new branch] gh/yangw-dev/11/head -> origin/gh/yangw-dev/11/head 2025-08-14T21:03:59.4640153Z * [new branch] gh/yangw-dev/11/orig -> origin/gh/yangw-dev/11/orig 2025-08-14T21:03:59.4641494Z * [new branch] gh/yangw-dev/12/base -> origin/gh/yangw-dev/12/base 2025-08-14T21:03:59.4642512Z * [new branch] gh/yangw-dev/12/head -> origin/gh/yangw-dev/12/head 2025-08-14T21:03:59.4643458Z * [new branch] gh/yangw-dev/12/orig -> origin/gh/yangw-dev/12/orig 2025-08-14T21:03:59.4644821Z * [new branch] gh/yangw-dev/13/base -> origin/gh/yangw-dev/13/base 2025-08-14T21:03:59.4645859Z * [new branch] gh/yangw-dev/13/head -> origin/gh/yangw-dev/13/head 2025-08-14T21:03:59.4646834Z * [new branch] gh/yangw-dev/13/orig -> origin/gh/yangw-dev/13/orig 2025-08-14T21:03:59.4648149Z * [new branch] gh/yangw-dev/14/base -> origin/gh/yangw-dev/14/base 2025-08-14T21:03:59.4649351Z * [new branch] gh/yangw-dev/14/head -> origin/gh/yangw-dev/14/head 2025-08-14T21:03:59.4650374Z * [new branch] gh/yangw-dev/14/orig -> origin/gh/yangw-dev/14/orig 2025-08-14T21:03:59.4651654Z * [new branch] gh/yangw-dev/15/base -> origin/gh/yangw-dev/15/base 2025-08-14T21:03:59.4652614Z * [new branch] gh/yangw-dev/15/head -> origin/gh/yangw-dev/15/head 2025-08-14T21:03:59.4653595Z * [new branch] gh/yangw-dev/15/orig -> origin/gh/yangw-dev/15/orig 2025-08-14T21:03:59.4654893Z * [new branch] gh/yangw-dev/16/base -> origin/gh/yangw-dev/16/base 2025-08-14T21:03:59.4655949Z * [new branch] gh/yangw-dev/16/head -> origin/gh/yangw-dev/16/head 2025-08-14T21:03:59.4656882Z * [new branch] gh/yangw-dev/16/orig -> origin/gh/yangw-dev/16/orig 2025-08-14T21:03:59.4658166Z * [new branch] gh/yangw-dev/17/base -> origin/gh/yangw-dev/17/base 2025-08-14T21:03:59.4659161Z * [new branch] gh/yangw-dev/17/head -> origin/gh/yangw-dev/17/head 2025-08-14T21:03:59.4660060Z * [new branch] gh/yangw-dev/17/orig -> origin/gh/yangw-dev/17/orig 2025-08-14T21:03:59.4661764Z * [new branch] gh/yangw-dev/18/base -> origin/gh/yangw-dev/18/base 2025-08-14T21:03:59.4662804Z * [new branch] gh/yangw-dev/18/head -> origin/gh/yangw-dev/18/head 2025-08-14T21:03:59.4663784Z * [new branch] gh/yangw-dev/18/orig -> origin/gh/yangw-dev/18/orig 2025-08-14T21:03:59.4665051Z * [new branch] gh/yangw-dev/19/base -> origin/gh/yangw-dev/19/base 2025-08-14T21:03:59.4666085Z * [new branch] gh/yangw-dev/19/head -> origin/gh/yangw-dev/19/head 2025-08-14T21:03:59.4667099Z * [new branch] gh/yangw-dev/19/orig -> origin/gh/yangw-dev/19/orig 2025-08-14T21:03:59.4668408Z * [new branch] gh/yangw-dev/2/base -> origin/gh/yangw-dev/2/base 2025-08-14T21:03:59.4669397Z * [new branch] gh/yangw-dev/2/head -> origin/gh/yangw-dev/2/head 2025-08-14T21:03:59.4670615Z * [new branch] gh/yangw-dev/3/base -> origin/gh/yangw-dev/3/base 2025-08-14T21:03:59.4671561Z * [new branch] gh/yangw-dev/3/head -> origin/gh/yangw-dev/3/head 2025-08-14T21:03:59.4672778Z * [new branch] gh/yangw-dev/4/base -> origin/gh/yangw-dev/4/base 2025-08-14T21:03:59.4673621Z * [new branch] gh/yangw-dev/4/head -> origin/gh/yangw-dev/4/head 2025-08-14T21:03:59.4675023Z * [new branch] gh/yangw-dev/5/base -> origin/gh/yangw-dev/5/base 2025-08-14T21:03:59.4676327Z * [new branch] gh/yangw-dev/5/head -> origin/gh/yangw-dev/5/head 2025-08-14T21:03:59.4677532Z * [new branch] gh/yangw-dev/6/base -> origin/gh/yangw-dev/6/base 2025-08-14T21:03:59.4678242Z * [new branch] gh/yangw-dev/6/head -> origin/gh/yangw-dev/6/head 2025-08-14T21:03:59.4679565Z * [new branch] gh/yangw-dev/7/base -> origin/gh/yangw-dev/7/base 2025-08-14T21:03:59.4680561Z * [new branch] gh/yangw-dev/7/head -> origin/gh/yangw-dev/7/head 2025-08-14T21:03:59.4682262Z * [new branch] gh/yangw-dev/8/base -> origin/gh/yangw-dev/8/base 2025-08-14T21:03:59.4683265Z * [new branch] gh/yangw-dev/8/head -> origin/gh/yangw-dev/8/head 2025-08-14T21:03:59.4684234Z * [new branch] gh/yangw-dev/8/orig -> origin/gh/yangw-dev/8/orig 2025-08-14T21:03:59.4685475Z * [new branch] gh/yangw-dev/9/base -> origin/gh/yangw-dev/9/base 2025-08-14T21:03:59.4686456Z * [new branch] gh/yangw-dev/9/head -> origin/gh/yangw-dev/9/head 2025-08-14T21:03:59.4687240Z * [new branch] gh/yangw-dev/9/orig -> origin/gh/yangw-dev/9/orig 2025-08-14T21:03:59.4688972Z * [new branch] gh/ydwu4/233/base -> origin/gh/ydwu4/233/base 2025-08-14T21:03:59.4690168Z * [new branch] gh/ydwu4/233/head -> origin/gh/ydwu4/233/head 2025-08-14T21:03:59.4690976Z * [new branch] gh/ydwu4/233/orig -> origin/gh/ydwu4/233/orig 2025-08-14T21:03:59.4692540Z * [new branch] gh/ydwu4/246/base -> origin/gh/ydwu4/246/base 2025-08-14T21:03:59.4693526Z * [new branch] gh/ydwu4/246/head -> origin/gh/ydwu4/246/head 2025-08-14T21:03:59.4694475Z * [new branch] gh/ydwu4/246/orig -> origin/gh/ydwu4/246/orig 2025-08-14T21:03:59.4695946Z * [new branch] gh/ydwu4/253/base -> origin/gh/ydwu4/253/base 2025-08-14T21:03:59.4696982Z * [new branch] gh/ydwu4/253/head -> origin/gh/ydwu4/253/head 2025-08-14T21:03:59.4698352Z * [new branch] gh/ydwu4/253/orig -> origin/gh/ydwu4/253/orig 2025-08-14T21:03:59.4699720Z * [new branch] gh/ydwu4/255/base -> origin/gh/ydwu4/255/base 2025-08-14T21:03:59.4700723Z * [new branch] gh/ydwu4/255/head -> origin/gh/ydwu4/255/head 2025-08-14T21:03:59.4701792Z * [new branch] gh/ydwu4/255/orig -> origin/gh/ydwu4/255/orig 2025-08-14T21:03:59.4703582Z * [new branch] gh/ydwu4/259/base -> origin/gh/ydwu4/259/base 2025-08-14T21:03:59.4704600Z * [new branch] gh/ydwu4/259/head -> origin/gh/ydwu4/259/head 2025-08-14T21:03:59.4705703Z * [new branch] gh/ydwu4/259/orig -> origin/gh/ydwu4/259/orig 2025-08-14T21:03:59.4707083Z * [new branch] gh/ydwu4/262/base -> origin/gh/ydwu4/262/base 2025-08-14T21:03:59.4708095Z * [new branch] gh/ydwu4/262/head -> origin/gh/ydwu4/262/head 2025-08-14T21:03:59.4709094Z * [new branch] gh/ydwu4/262/orig -> origin/gh/ydwu4/262/orig 2025-08-14T21:03:59.4710871Z * [new branch] gh/ydwu4/263/base -> origin/gh/ydwu4/263/base 2025-08-14T21:03:59.4711836Z * [new branch] gh/ydwu4/263/head -> origin/gh/ydwu4/263/head 2025-08-14T21:03:59.4712782Z * [new branch] gh/ydwu4/263/orig -> origin/gh/ydwu4/263/orig 2025-08-14T21:03:59.4714219Z * [new branch] gh/ydwu4/269/base -> origin/gh/ydwu4/269/base 2025-08-14T21:03:59.4715121Z * [new branch] gh/ydwu4/269/head -> origin/gh/ydwu4/269/head 2025-08-14T21:03:59.4716211Z * [new branch] gh/ydwu4/269/orig -> origin/gh/ydwu4/269/orig 2025-08-14T21:03:59.4717520Z * [new branch] gh/ydwu4/270/base -> origin/gh/ydwu4/270/base 2025-08-14T21:03:59.4718516Z * [new branch] gh/ydwu4/270/head -> origin/gh/ydwu4/270/head 2025-08-14T21:03:59.4719541Z * [new branch] gh/ydwu4/270/orig -> origin/gh/ydwu4/270/orig 2025-08-14T21:03:59.4720922Z * [new branch] gh/ydwu4/272/base -> origin/gh/ydwu4/272/base 2025-08-14T21:03:59.4722018Z * [new branch] gh/ydwu4/272/head -> origin/gh/ydwu4/272/head 2025-08-14T21:03:59.4722977Z * [new branch] gh/ydwu4/272/orig -> origin/gh/ydwu4/272/orig 2025-08-14T21:03:59.4724205Z * [new branch] gh/ydwu4/275/base -> origin/gh/ydwu4/275/base 2025-08-14T21:03:59.4725158Z * [new branch] gh/ydwu4/275/head -> origin/gh/ydwu4/275/head 2025-08-14T21:03:59.4726135Z * [new branch] gh/ydwu4/275/orig -> origin/gh/ydwu4/275/orig 2025-08-14T21:03:59.4727344Z * [new branch] gh/ydwu4/276/base -> origin/gh/ydwu4/276/base 2025-08-14T21:03:59.4728357Z * [new branch] gh/ydwu4/276/head -> origin/gh/ydwu4/276/head 2025-08-14T21:03:59.4729428Z * [new branch] gh/ydwu4/276/orig -> origin/gh/ydwu4/276/orig 2025-08-14T21:03:59.4730774Z * [new branch] gh/ydwu4/277/base -> origin/gh/ydwu4/277/base 2025-08-14T21:03:59.4731858Z * [new branch] gh/ydwu4/277/head -> origin/gh/ydwu4/277/head 2025-08-14T21:03:59.4732728Z * [new branch] gh/ydwu4/277/orig -> origin/gh/ydwu4/277/orig 2025-08-14T21:03:59.4733980Z * [new branch] gh/ydwu4/278/base -> origin/gh/ydwu4/278/base 2025-08-14T21:03:59.4734993Z * [new branch] gh/ydwu4/278/head -> origin/gh/ydwu4/278/head 2025-08-14T21:03:59.4735961Z * [new branch] gh/ydwu4/278/orig -> origin/gh/ydwu4/278/orig 2025-08-14T21:03:59.4737498Z * [new branch] gh/ydwu4/279/base -> origin/gh/ydwu4/279/base 2025-08-14T21:03:59.4738569Z * [new branch] gh/ydwu4/279/head -> origin/gh/ydwu4/279/head 2025-08-14T21:03:59.4739572Z * [new branch] gh/ydwu4/279/orig -> origin/gh/ydwu4/279/orig 2025-08-14T21:03:59.4741152Z * [new branch] gh/ydwu4/280/base -> origin/gh/ydwu4/280/base 2025-08-14T21:03:59.4742130Z * [new branch] gh/ydwu4/280/head -> origin/gh/ydwu4/280/head 2025-08-14T21:03:59.4743241Z * [new branch] gh/ydwu4/280/orig -> origin/gh/ydwu4/280/orig 2025-08-14T21:03:59.4745184Z * [new branch] gh/ydwu4/281/base -> origin/gh/ydwu4/281/base 2025-08-14T21:03:59.4746330Z * [new branch] gh/ydwu4/281/head -> origin/gh/ydwu4/281/head 2025-08-14T21:03:59.4747386Z * [new branch] gh/ydwu4/281/orig -> origin/gh/ydwu4/281/orig 2025-08-14T21:03:59.4748653Z * [new branch] gh/ydwu4/282/base -> origin/gh/ydwu4/282/base 2025-08-14T21:03:59.4749745Z * [new branch] gh/ydwu4/282/head -> origin/gh/ydwu4/282/head 2025-08-14T21:03:59.4750783Z * [new branch] gh/ydwu4/282/orig -> origin/gh/ydwu4/282/orig 2025-08-14T21:03:59.4752006Z * [new branch] gh/ydwu4/283/base -> origin/gh/ydwu4/283/base 2025-08-14T21:03:59.4752966Z * [new branch] gh/ydwu4/283/head -> origin/gh/ydwu4/283/head 2025-08-14T21:03:59.4753973Z * [new branch] gh/ydwu4/283/orig -> origin/gh/ydwu4/283/orig 2025-08-14T21:03:59.4755233Z * [new branch] gh/ydwu4/284/base -> origin/gh/ydwu4/284/base 2025-08-14T21:03:59.4756185Z * [new branch] gh/ydwu4/284/head -> origin/gh/ydwu4/284/head 2025-08-14T21:03:59.4757273Z * [new branch] gh/ydwu4/284/orig -> origin/gh/ydwu4/284/orig 2025-08-14T21:03:59.4758494Z * [new branch] gh/ydwu4/285/base -> origin/gh/ydwu4/285/base 2025-08-14T21:03:59.4759532Z * [new branch] gh/ydwu4/285/head -> origin/gh/ydwu4/285/head 2025-08-14T21:03:59.4760452Z * [new branch] gh/ydwu4/285/orig -> origin/gh/ydwu4/285/orig 2025-08-14T21:03:59.4761883Z * [new branch] gh/ydwu4/286/base -> origin/gh/ydwu4/286/base 2025-08-14T21:03:59.4762673Z * [new branch] gh/ydwu4/286/head -> origin/gh/ydwu4/286/head 2025-08-14T21:03:59.4763750Z * [new branch] gh/ydwu4/286/orig -> origin/gh/ydwu4/286/orig 2025-08-14T21:03:59.4765109Z * [new branch] gh/ydwu4/287/base -> origin/gh/ydwu4/287/base 2025-08-14T21:03:59.4766088Z * [new branch] gh/ydwu4/287/head -> origin/gh/ydwu4/287/head 2025-08-14T21:03:59.4767085Z * [new branch] gh/ydwu4/287/orig -> origin/gh/ydwu4/287/orig 2025-08-14T21:03:59.4768468Z * [new branch] gh/ydwu4/288/base -> origin/gh/ydwu4/288/base 2025-08-14T21:03:59.4769422Z * [new branch] gh/ydwu4/288/head -> origin/gh/ydwu4/288/head 2025-08-14T21:03:59.4770542Z * [new branch] gh/ydwu4/288/orig -> origin/gh/ydwu4/288/orig 2025-08-14T21:03:59.4771858Z * [new branch] gh/ydwu4/289/base -> origin/gh/ydwu4/289/base 2025-08-14T21:03:59.4773467Z * [new branch] gh/ydwu4/289/head -> origin/gh/ydwu4/289/head 2025-08-14T21:03:59.4774218Z * [new branch] gh/ydwu4/289/orig -> origin/gh/ydwu4/289/orig 2025-08-14T21:03:59.4775724Z * [new branch] gh/ydwu4/290/base -> origin/gh/ydwu4/290/base 2025-08-14T21:03:59.4777057Z * [new branch] gh/ydwu4/290/head -> origin/gh/ydwu4/290/head 2025-08-14T21:03:59.4778096Z * [new branch] gh/ydwu4/290/orig -> origin/gh/ydwu4/290/orig 2025-08-14T21:03:59.4779416Z * [new branch] gh/ydwu4/291/base -> origin/gh/ydwu4/291/base 2025-08-14T21:03:59.4780439Z * [new branch] gh/ydwu4/291/head -> origin/gh/ydwu4/291/head 2025-08-14T21:03:59.4781463Z * [new branch] gh/ydwu4/291/orig -> origin/gh/ydwu4/291/orig 2025-08-14T21:03:59.4782850Z * [new branch] gh/ydwu4/292/base -> origin/gh/ydwu4/292/base 2025-08-14T21:03:59.4783839Z * [new branch] gh/ydwu4/292/head -> origin/gh/ydwu4/292/head 2025-08-14T21:03:59.4784879Z * [new branch] gh/ydwu4/292/orig -> origin/gh/ydwu4/292/orig 2025-08-14T21:03:59.4786251Z * [new branch] gh/ydwu4/293/base -> origin/gh/ydwu4/293/base 2025-08-14T21:03:59.4787398Z * [new branch] gh/ydwu4/293/head -> origin/gh/ydwu4/293/head 2025-08-14T21:03:59.4788337Z * [new branch] gh/ydwu4/293/orig -> origin/gh/ydwu4/293/orig 2025-08-14T21:03:59.4789779Z * [new branch] gh/ydwu4/294/base -> origin/gh/ydwu4/294/base 2025-08-14T21:03:59.4790734Z * [new branch] gh/ydwu4/294/head -> origin/gh/ydwu4/294/head 2025-08-14T21:03:59.4791734Z * [new branch] gh/ydwu4/294/orig -> origin/gh/ydwu4/294/orig 2025-08-14T21:03:59.4793104Z * [new branch] gh/ydwu4/295/base -> origin/gh/ydwu4/295/base 2025-08-14T21:03:59.4794563Z * [new branch] gh/ydwu4/295/head -> origin/gh/ydwu4/295/head 2025-08-14T21:03:59.4795543Z * [new branch] gh/ydwu4/295/orig -> origin/gh/ydwu4/295/orig 2025-08-14T21:03:59.4796828Z * [new branch] gh/ydwu4/296/base -> origin/gh/ydwu4/296/base 2025-08-14T21:03:59.4797689Z * [new branch] gh/ydwu4/296/head -> origin/gh/ydwu4/296/head 2025-08-14T21:03:59.4798814Z * [new branch] gh/ydwu4/296/orig -> origin/gh/ydwu4/296/orig 2025-08-14T21:03:59.4800203Z * [new branch] gh/ydwu4/297/base -> origin/gh/ydwu4/297/base 2025-08-14T21:03:59.4801159Z * [new branch] gh/ydwu4/297/head -> origin/gh/ydwu4/297/head 2025-08-14T21:03:59.4802116Z * [new branch] gh/ydwu4/297/orig -> origin/gh/ydwu4/297/orig 2025-08-14T21:03:59.4803344Z * [new branch] gh/ydwu4/298/base -> origin/gh/ydwu4/298/base 2025-08-14T21:03:59.4804303Z * [new branch] gh/ydwu4/298/head -> origin/gh/ydwu4/298/head 2025-08-14T21:03:59.4805315Z * [new branch] gh/ydwu4/298/orig -> origin/gh/ydwu4/298/orig 2025-08-14T21:03:59.4806502Z * [new branch] gh/ydwu4/299/base -> origin/gh/ydwu4/299/base 2025-08-14T21:03:59.4807473Z * [new branch] gh/ydwu4/299/head -> origin/gh/ydwu4/299/head 2025-08-14T21:03:59.4808431Z * [new branch] gh/ydwu4/299/orig -> origin/gh/ydwu4/299/orig 2025-08-14T21:03:59.4810620Z * [new branch] gh/ydwu4/300/base -> origin/gh/ydwu4/300/base 2025-08-14T21:03:59.4812259Z * [new branch] gh/ydwu4/300/head -> origin/gh/ydwu4/300/head 2025-08-14T21:03:59.4813453Z * [new branch] gh/ydwu4/300/orig -> origin/gh/ydwu4/300/orig 2025-08-14T21:03:59.4814930Z * [new branch] gh/ydwu4/301/base -> origin/gh/ydwu4/301/base 2025-08-14T21:03:59.4816041Z * [new branch] gh/ydwu4/301/head -> origin/gh/ydwu4/301/head 2025-08-14T21:03:59.4816983Z * [new branch] gh/ydwu4/301/orig -> origin/gh/ydwu4/301/orig 2025-08-14T21:03:59.4818715Z * [new branch] gh/ydwu4/302/base -> origin/gh/ydwu4/302/base 2025-08-14T21:03:59.4819714Z * [new branch] gh/ydwu4/302/head -> origin/gh/ydwu4/302/head 2025-08-14T21:03:59.4820671Z * [new branch] gh/ydwu4/302/orig -> origin/gh/ydwu4/302/orig 2025-08-14T21:03:59.4821865Z * [new branch] gh/ydwu4/303/base -> origin/gh/ydwu4/303/base 2025-08-14T21:03:59.4822869Z * [new branch] gh/ydwu4/303/head -> origin/gh/ydwu4/303/head 2025-08-14T21:03:59.4823847Z * [new branch] gh/ydwu4/303/orig -> origin/gh/ydwu4/303/orig 2025-08-14T21:03:59.4825045Z * [new branch] gh/ydwu4/304/base -> origin/gh/ydwu4/304/base 2025-08-14T21:03:59.4826409Z * [new branch] gh/ydwu4/304/head -> origin/gh/ydwu4/304/head 2025-08-14T21:03:59.4827545Z * [new branch] gh/ydwu4/304/orig -> origin/gh/ydwu4/304/orig 2025-08-14T21:03:59.4829065Z * [new branch] gh/ydwu4/305/base -> origin/gh/ydwu4/305/base 2025-08-14T21:03:59.4830104Z * [new branch] gh/ydwu4/305/head -> origin/gh/ydwu4/305/head 2025-08-14T21:03:59.4831129Z * [new branch] gh/ydwu4/305/orig -> origin/gh/ydwu4/305/orig 2025-08-14T21:03:59.4832436Z * [new branch] gh/ydwu4/306/base -> origin/gh/ydwu4/306/base 2025-08-14T21:03:59.4833465Z * [new branch] gh/ydwu4/306/head -> origin/gh/ydwu4/306/head 2025-08-14T21:03:59.4834505Z * [new branch] gh/ydwu4/306/orig -> origin/gh/ydwu4/306/orig 2025-08-14T21:03:59.4835755Z * [new branch] gh/ydwu4/307/base -> origin/gh/ydwu4/307/base 2025-08-14T21:03:59.4836688Z * [new branch] gh/ydwu4/307/head -> origin/gh/ydwu4/307/head 2025-08-14T21:03:59.4837669Z * [new branch] gh/ydwu4/307/orig -> origin/gh/ydwu4/307/orig 2025-08-14T21:03:59.4839070Z * [new branch] gh/ydwu4/308/base -> origin/gh/ydwu4/308/base 2025-08-14T21:03:59.4840076Z * [new branch] gh/ydwu4/308/head -> origin/gh/ydwu4/308/head 2025-08-14T21:03:59.4841214Z * [new branch] gh/ydwu4/308/orig -> origin/gh/ydwu4/308/orig 2025-08-14T21:03:59.4842468Z * [new branch] gh/ydwu4/309/base -> origin/gh/ydwu4/309/base 2025-08-14T21:03:59.4843405Z * [new branch] gh/ydwu4/309/head -> origin/gh/ydwu4/309/head 2025-08-14T21:03:59.4844387Z * [new branch] gh/ydwu4/309/orig -> origin/gh/ydwu4/309/orig 2025-08-14T21:03:59.4845561Z * [new branch] gh/ydwu4/310/base -> origin/gh/ydwu4/310/base 2025-08-14T21:03:59.4846573Z * [new branch] gh/ydwu4/310/head -> origin/gh/ydwu4/310/head 2025-08-14T21:03:59.4847566Z * [new branch] gh/ydwu4/310/orig -> origin/gh/ydwu4/310/orig 2025-08-14T21:03:59.4848781Z * [new branch] gh/ydwu4/311/base -> origin/gh/ydwu4/311/base 2025-08-14T21:03:59.4849806Z * [new branch] gh/ydwu4/311/head -> origin/gh/ydwu4/311/head 2025-08-14T21:03:59.4850726Z * [new branch] gh/ydwu4/311/orig -> origin/gh/ydwu4/311/orig 2025-08-14T21:03:59.4852307Z * [new branch] gh/yf225/133/base -> origin/gh/yf225/133/base 2025-08-14T21:03:59.4853395Z * [new branch] gh/yf225/133/head -> origin/gh/yf225/133/head 2025-08-14T21:03:59.4854934Z * [new branch] gh/yf225/171/base -> origin/gh/yf225/171/base 2025-08-14T21:03:59.4856009Z * [new branch] gh/yf225/171/head -> origin/gh/yf225/171/head 2025-08-14T21:03:59.4857129Z * [new branch] gh/yf225/171/orig -> origin/gh/yf225/171/orig 2025-08-14T21:03:59.4858450Z * [new branch] gh/yf225/172/base -> origin/gh/yf225/172/base 2025-08-14T21:03:59.4859366Z * [new branch] gh/yf225/172/head -> origin/gh/yf225/172/head 2025-08-14T21:03:59.4860814Z * [new branch] gh/yf225/172/orig -> origin/gh/yf225/172/orig 2025-08-14T21:03:59.4862172Z * [new branch] gh/yf225/93/base -> origin/gh/yf225/93/base 2025-08-14T21:03:59.4863136Z * [new branch] gh/yf225/93/head -> origin/gh/yf225/93/head 2025-08-14T21:03:59.4865265Z * [new branch] gh/yifuwang/152/base -> origin/gh/yifuwang/152/base 2025-08-14T21:03:59.4866605Z * [new branch] gh/yifuwang/152/head -> origin/gh/yifuwang/152/head 2025-08-14T21:03:59.4867769Z * [new branch] gh/yifuwang/152/orig -> origin/gh/yifuwang/152/orig 2025-08-14T21:03:59.4869058Z * [new branch] gh/yifuwang/195/base -> origin/gh/yifuwang/195/base 2025-08-14T21:03:59.4870084Z * [new branch] gh/yifuwang/195/head -> origin/gh/yifuwang/195/head 2025-08-14T21:03:59.4871035Z * [new branch] gh/yifuwang/195/orig -> origin/gh/yifuwang/195/orig 2025-08-14T21:03:59.4872684Z * [new branch] gh/yiming0416/1/base -> origin/gh/yiming0416/1/base 2025-08-14T21:03:59.4873708Z * [new branch] gh/yiming0416/1/head -> origin/gh/yiming0416/1/head 2025-08-14T21:03:59.4875289Z * [new branch] gh/yiming0416/2/base -> origin/gh/yiming0416/2/base 2025-08-14T21:03:59.4876356Z * [new branch] gh/yiming0416/2/head -> origin/gh/yiming0416/2/head 2025-08-14T21:03:59.4878014Z * [new branch] gh/ysiraichi/79/base -> origin/gh/ysiraichi/79/base 2025-08-14T21:03:59.4878992Z * [new branch] gh/ysiraichi/79/head -> origin/gh/ysiraichi/79/head 2025-08-14T21:03:59.4880222Z * [new branch] gh/ysiraichi/79/orig -> origin/gh/ysiraichi/79/orig 2025-08-14T21:03:59.4881640Z * [new branch] gh/ysiraichi/81/base -> origin/gh/ysiraichi/81/base 2025-08-14T21:03:59.4882643Z * [new branch] gh/ysiraichi/81/head -> origin/gh/ysiraichi/81/head 2025-08-14T21:03:59.4883704Z * [new branch] gh/ysiraichi/81/orig -> origin/gh/ysiraichi/81/orig 2025-08-14T21:03:59.4885008Z * [new branch] gh/ysiraichi/84/base -> origin/gh/ysiraichi/84/base 2025-08-14T21:03:59.4886034Z * [new branch] gh/ysiraichi/84/head -> origin/gh/ysiraichi/84/head 2025-08-14T21:03:59.4887439Z * [new branch] gh/ysiraichi/84/orig -> origin/gh/ysiraichi/84/orig 2025-08-14T21:03:59.4888882Z * [new branch] gh/ysiraichi/85/base -> origin/gh/ysiraichi/85/base 2025-08-14T21:03:59.4889923Z * [new branch] gh/ysiraichi/85/head -> origin/gh/ysiraichi/85/head 2025-08-14T21:03:59.4890980Z * [new branch] gh/ysiraichi/85/orig -> origin/gh/ysiraichi/85/orig 2025-08-14T21:03:59.4892386Z * [new branch] gh/ysiraichi/86/base -> origin/gh/ysiraichi/86/base 2025-08-14T21:03:59.4893567Z * [new branch] gh/ysiraichi/86/head -> origin/gh/ysiraichi/86/head 2025-08-14T21:03:59.4894590Z * [new branch] gh/ysiraichi/86/orig -> origin/gh/ysiraichi/86/orig 2025-08-14T21:03:59.4896011Z * [new branch] gh/ysiraichi/87/base -> origin/gh/ysiraichi/87/base 2025-08-14T21:03:59.4897057Z * [new branch] gh/ysiraichi/87/head -> origin/gh/ysiraichi/87/head 2025-08-14T21:03:59.4898032Z * [new branch] gh/ysiraichi/87/orig -> origin/gh/ysiraichi/87/orig 2025-08-14T21:03:59.4899750Z * [new branch] gh/ysiraichi/88/base -> origin/gh/ysiraichi/88/base 2025-08-14T21:03:59.4900807Z * [new branch] gh/ysiraichi/88/head -> origin/gh/ysiraichi/88/head 2025-08-14T21:03:59.4901614Z * [new branch] gh/ysiraichi/88/orig -> origin/gh/ysiraichi/88/orig 2025-08-14T21:03:59.4903206Z * [new branch] gh/yuguo68/1/base -> origin/gh/yuguo68/1/base 2025-08-14T21:03:59.4904227Z * [new branch] gh/yuguo68/1/head -> origin/gh/yuguo68/1/head 2025-08-14T21:03:59.4905191Z * [new branch] gh/yuguo68/1/orig -> origin/gh/yuguo68/1/orig 2025-08-14T21:03:59.4906727Z * [new branch] gh/yuguo68/2/base -> origin/gh/yuguo68/2/base 2025-08-14T21:03:59.4907877Z * [new branch] gh/yuguo68/2/head -> origin/gh/yuguo68/2/head 2025-08-14T21:03:59.4908876Z * [new branch] gh/yuguo68/2/orig -> origin/gh/yuguo68/2/orig 2025-08-14T21:03:59.4910565Z * [new branch] gh/zhxchen17/25/base -> origin/gh/zhxchen17/25/base 2025-08-14T21:03:59.4911517Z * [new branch] gh/zhxchen17/25/head -> origin/gh/zhxchen17/25/head 2025-08-14T21:03:59.4912577Z * [new branch] gh/zhxchen17/25/orig -> origin/gh/zhxchen17/25/orig 2025-08-14T21:03:59.4914082Z * [new branch] gh/zhxchen17/31/base -> origin/gh/zhxchen17/31/base 2025-08-14T21:03:59.4915088Z * [new branch] gh/zhxchen17/31/head -> origin/gh/zhxchen17/31/head 2025-08-14T21:03:59.4916085Z * [new branch] gh/zhxchen17/31/orig -> origin/gh/zhxchen17/31/orig 2025-08-14T21:03:59.4917526Z * [new branch] gh/zhxchen17/33/base -> origin/gh/zhxchen17/33/base 2025-08-14T21:03:59.4918624Z * [new branch] gh/zhxchen17/33/head -> origin/gh/zhxchen17/33/head 2025-08-14T21:03:59.4919618Z * [new branch] gh/zhxchen17/33/orig -> origin/gh/zhxchen17/33/orig 2025-08-14T21:03:59.4921053Z * [new branch] gh/zhxchen17/34/base -> origin/gh/zhxchen17/34/base 2025-08-14T21:03:59.4922058Z * [new branch] gh/zhxchen17/34/head -> origin/gh/zhxchen17/34/head 2025-08-14T21:03:59.4923643Z * [new branch] gh/zhxchen17/35/base -> origin/gh/zhxchen17/35/base 2025-08-14T21:03:59.4924620Z * [new branch] gh/zhxchen17/35/head -> origin/gh/zhxchen17/35/head 2025-08-14T21:03:59.4925772Z * [new branch] gh/zhxchen17/36/base -> origin/gh/zhxchen17/36/base 2025-08-14T21:03:59.4926741Z * [new branch] gh/zhxchen17/36/head -> origin/gh/zhxchen17/36/head 2025-08-14T21:03:59.4927735Z * [new branch] gh/zhxchen17/36/orig -> origin/gh/zhxchen17/36/orig 2025-08-14T21:03:59.4929357Z * [new branch] gh/zklaus/1/base -> origin/gh/zklaus/1/base 2025-08-14T21:03:59.4930328Z * [new branch] gh/zklaus/1/head -> origin/gh/zklaus/1/head 2025-08-14T21:03:59.4931297Z * [new branch] gh/zklaus/1/orig -> origin/gh/zklaus/1/orig 2025-08-14T21:03:59.4932673Z * [new branch] gh/zklaus/10/base -> origin/gh/zklaus/10/base 2025-08-14T21:03:59.4933714Z * [new branch] gh/zklaus/10/head -> origin/gh/zklaus/10/head 2025-08-14T21:03:59.4934680Z * [new branch] gh/zklaus/10/orig -> origin/gh/zklaus/10/orig 2025-08-14T21:03:59.4935938Z * [new branch] gh/zklaus/11/base -> origin/gh/zklaus/11/base 2025-08-14T21:03:59.4936940Z * [new branch] gh/zklaus/11/head -> origin/gh/zklaus/11/head 2025-08-14T21:03:59.4937992Z * [new branch] gh/zklaus/11/orig -> origin/gh/zklaus/11/orig 2025-08-14T21:03:59.4939258Z * [new branch] gh/zklaus/12/base -> origin/gh/zklaus/12/base 2025-08-14T21:03:59.4940275Z * [new branch] gh/zklaus/12/head -> origin/gh/zklaus/12/head 2025-08-14T21:03:59.4941268Z * [new branch] gh/zklaus/12/orig -> origin/gh/zklaus/12/orig 2025-08-14T21:03:59.4942514Z * [new branch] gh/zklaus/14/base -> origin/gh/zklaus/14/base 2025-08-14T21:03:59.4943468Z * [new branch] gh/zklaus/14/head -> origin/gh/zklaus/14/head 2025-08-14T21:03:59.4944442Z * [new branch] gh/zklaus/14/orig -> origin/gh/zklaus/14/orig 2025-08-14T21:03:59.4945908Z * [new branch] gh/zklaus/15/base -> origin/gh/zklaus/15/base 2025-08-14T21:03:59.4947185Z * [new branch] gh/zklaus/15/head -> origin/gh/zklaus/15/head 2025-08-14T21:03:59.4948167Z * [new branch] gh/zklaus/15/orig -> origin/gh/zklaus/15/orig 2025-08-14T21:03:59.4949422Z * [new branch] gh/zklaus/16/base -> origin/gh/zklaus/16/base 2025-08-14T21:03:59.4950481Z * [new branch] gh/zklaus/16/head -> origin/gh/zklaus/16/head 2025-08-14T21:03:59.4951461Z * [new branch] gh/zklaus/16/orig -> origin/gh/zklaus/16/orig 2025-08-14T21:03:59.4952708Z * [new branch] gh/zklaus/17/base -> origin/gh/zklaus/17/base 2025-08-14T21:03:59.4953688Z * [new branch] gh/zklaus/17/head -> origin/gh/zklaus/17/head 2025-08-14T21:03:59.4954666Z * [new branch] gh/zklaus/17/orig -> origin/gh/zklaus/17/orig 2025-08-14T21:03:59.4955961Z * [new branch] gh/zklaus/18/base -> origin/gh/zklaus/18/base 2025-08-14T21:03:59.4956967Z * [new branch] gh/zklaus/18/head -> origin/gh/zklaus/18/head 2025-08-14T21:03:59.4958350Z * [new branch] gh/zklaus/18/orig -> origin/gh/zklaus/18/orig 2025-08-14T21:03:59.4959589Z * [new branch] gh/zklaus/19/base -> origin/gh/zklaus/19/base 2025-08-14T21:03:59.4960599Z * [new branch] gh/zklaus/19/head -> origin/gh/zklaus/19/head 2025-08-14T21:03:59.4961604Z * [new branch] gh/zklaus/19/orig -> origin/gh/zklaus/19/orig 2025-08-14T21:03:59.4963001Z * [new branch] gh/zklaus/7/base -> origin/gh/zklaus/7/base 2025-08-14T21:03:59.4963928Z * [new branch] gh/zklaus/7/head -> origin/gh/zklaus/7/head 2025-08-14T21:03:59.4964880Z * [new branch] gh/zklaus/7/orig -> origin/gh/zklaus/7/orig 2025-08-14T21:03:59.4966166Z * [new branch] gh/zklaus/9/base -> origin/gh/zklaus/9/base 2025-08-14T21:03:59.4967152Z * [new branch] gh/zklaus/9/head -> origin/gh/zklaus/9/head 2025-08-14T21:03:59.4968066Z * [new branch] gh/zklaus/9/orig -> origin/gh/zklaus/9/orig 2025-08-14T21:03:59.4969673Z * [new branch] gh/zou3519/1175/base -> origin/gh/zou3519/1175/base 2025-08-14T21:03:59.4970647Z * [new branch] gh/zou3519/1175/head -> origin/gh/zou3519/1175/head 2025-08-14T21:03:59.4972081Z * [new branch] gh/zou3519/1175/orig -> origin/gh/zou3519/1175/orig 2025-08-14T21:03:59.4973477Z * [new branch] gh/zou3519/1177/base -> origin/gh/zou3519/1177/base 2025-08-14T21:03:59.4974467Z * [new branch] gh/zou3519/1177/head -> origin/gh/zou3519/1177/head 2025-08-14T21:03:59.4975505Z * [new branch] gh/zou3519/1177/orig -> origin/gh/zou3519/1177/orig 2025-08-14T21:03:59.4977046Z * [new branch] gh/zou3519/1187/base -> origin/gh/zou3519/1187/base 2025-08-14T21:03:59.4978027Z * [new branch] gh/zou3519/1187/head -> origin/gh/zou3519/1187/head 2025-08-14T21:03:59.4979072Z * [new branch] gh/zou3519/1187/orig -> origin/gh/zou3519/1187/orig 2025-08-14T21:03:59.4980420Z * [new branch] gh/zou3519/1188/base -> origin/gh/zou3519/1188/base 2025-08-14T21:03:59.4981548Z * [new branch] gh/zou3519/1188/head -> origin/gh/zou3519/1188/head 2025-08-14T21:03:59.4982620Z * [new branch] gh/zou3519/1188/orig -> origin/gh/zou3519/1188/orig 2025-08-14T21:03:59.4983717Z * [new branch] gh/zou3519/1189/base -> origin/gh/zou3519/1189/base 2025-08-14T21:03:59.4984661Z * [new branch] gh/zou3519/1189/head -> origin/gh/zou3519/1189/head 2025-08-14T21:03:59.4985690Z * [new branch] gh/zou3519/1189/orig -> origin/gh/zou3519/1189/orig 2025-08-14T21:03:59.4987187Z * [new branch] gh/zou3519/1190/base -> origin/gh/zou3519/1190/base 2025-08-14T21:03:59.4988146Z * [new branch] gh/zou3519/1190/head -> origin/gh/zou3519/1190/head 2025-08-14T21:03:59.4989165Z * [new branch] gh/zou3519/1190/orig -> origin/gh/zou3519/1190/orig 2025-08-14T21:03:59.4990607Z * [new branch] gh/zou3519/1191/base -> origin/gh/zou3519/1191/base 2025-08-14T21:03:59.4991717Z * [new branch] gh/zou3519/1191/head -> origin/gh/zou3519/1191/head 2025-08-14T21:03:59.4992754Z * [new branch] gh/zou3519/1191/orig -> origin/gh/zou3519/1191/orig 2025-08-14T21:03:59.4994845Z * [new branch] gh/zpcore/1/base -> origin/gh/zpcore/1/base 2025-08-14T21:03:59.4995828Z * [new branch] gh/zpcore/1/head -> origin/gh/zpcore/1/head 2025-08-14T21:03:59.4997245Z * [new branch] gh/zpcore/10/base -> origin/gh/zpcore/10/base 2025-08-14T21:03:59.4998022Z * [new branch] gh/zpcore/10/head -> origin/gh/zpcore/10/head 2025-08-14T21:03:59.4999121Z * [new branch] gh/zpcore/10/orig -> origin/gh/zpcore/10/orig 2025-08-14T21:03:59.5000613Z * [new branch] gh/zpcore/11/base -> origin/gh/zpcore/11/base 2025-08-14T21:03:59.5001606Z * [new branch] gh/zpcore/11/head -> origin/gh/zpcore/11/head 2025-08-14T21:03:59.5003021Z * [new branch] gh/zpcore/11/orig -> origin/gh/zpcore/11/orig 2025-08-14T21:03:59.5004220Z * [new branch] gh/zpcore/12/base -> origin/gh/zpcore/12/base 2025-08-14T21:03:59.5005372Z * [new branch] gh/zpcore/12/head -> origin/gh/zpcore/12/head 2025-08-14T21:03:59.5006601Z * [new branch] gh/zpcore/12/orig -> origin/gh/zpcore/12/orig 2025-08-14T21:03:59.5007949Z * [new branch] gh/zpcore/2/base -> origin/gh/zpcore/2/base 2025-08-14T21:03:59.5009001Z * [new branch] gh/zpcore/2/head -> origin/gh/zpcore/2/head 2025-08-14T21:03:59.5010169Z * [new branch] gh/zpcore/3/base -> origin/gh/zpcore/3/base 2025-08-14T21:03:59.5011108Z * [new branch] gh/zpcore/3/head -> origin/gh/zpcore/3/head 2025-08-14T21:03:59.5012313Z * [new branch] gh/zpcore/4/base -> origin/gh/zpcore/4/base 2025-08-14T21:03:59.5013241Z * [new branch] gh/zpcore/4/head -> origin/gh/zpcore/4/head 2025-08-14T21:03:59.5014905Z * [new branch] gh/zpcore/5/base -> origin/gh/zpcore/5/base 2025-08-14T21:03:59.5015824Z * [new branch] gh/zpcore/5/head -> origin/gh/zpcore/5/head 2025-08-14T21:03:59.5017001Z * [new branch] gh/zpcore/6/base -> origin/gh/zpcore/6/base 2025-08-14T21:03:59.5017929Z * [new branch] gh/zpcore/6/head -> origin/gh/zpcore/6/head 2025-08-14T21:03:59.5019092Z * [new branch] gh/zpcore/7/base -> origin/gh/zpcore/7/base 2025-08-14T21:03:59.5019884Z * [new branch] gh/zpcore/7/head -> origin/gh/zpcore/7/head 2025-08-14T21:03:59.5021164Z * [new branch] gh/zpcore/8/base -> origin/gh/zpcore/8/base 2025-08-14T21:03:59.5022140Z * [new branch] gh/zpcore/8/head -> origin/gh/zpcore/8/head 2025-08-14T21:03:59.5023842Z * [new branch] gh/zpcore/9/head -> origin/gh/zpcore/9/head 2025-08-14T21:03:59.5024929Z * [new branch] gh/zpcore/9/orig -> origin/gh/zpcore/9/orig 2025-08-14T21:03:59.5026221Z * [new branch] google-main -> origin/google-main 2025-08-14T21:03:59.5027723Z * [new branch] guangyey/external_stream -> origin/guangyey/external_stream 2025-08-14T21:03:59.5028539Z * [new branch] guangyey/host_alloc -> origin/guangyey/host_alloc 2025-08-14T21:03:59.5029532Z * [new branch] guangyey/test_2025 -> origin/guangyey/test_2025 2025-08-14T21:03:59.5031143Z * [new branch] guilhermeleobas/cherry-pick-55d87d9dfd9 -> origin/guilhermeleobas/cherry-pick-55d87d9dfd9 2025-08-14T21:03:59.5032324Z * [new branch] haozhe/bf16-dynamic-shape -> origin/haozhe/bf16-dynamic-shape 2025-08-14T21:03:59.5033351Z * [new branch] hc_baseline -> origin/hc_baseline 2025-08-14T21:03:59.5034513Z * [new branch] headeronlyScalarType -> origin/headeronlyScalarType 2025-08-14T21:03:59.5035489Z * [new branch] hf_update -> origin/hf_update 2025-08-14T21:03:59.5036567Z * [new branch] hhh_decomp_mul -> origin/hhh_decomp_mul 2025-08-14T21:03:59.5037540Z * [new branch] hhh_rand -> origin/hhh_rand 2025-08-14T21:03:59.5038983Z * [new branch] hoy/mmsplitk -> origin/hoy/mmsplitk 2025-08-14T21:03:59.5040367Z * [new branch] hoy/triton-PR3973 -> origin/hoy/triton-PR3973 2025-08-14T21:03:59.5041568Z * [new branch] hoy/triton-coalescing-baseline -> origin/hoy/triton-coalescing-baseline 2025-08-14T21:03:59.5042363Z * [new branch] hoy/triton-coalescing-min -> origin/hoy/triton-coalescing-min 2025-08-14T21:03:59.5043382Z * [new branch] hoy/triton-coalescing-new -> origin/hoy/triton-coalescing-new 2025-08-14T21:03:59.5044588Z * [new branch] hoy/triton-coalescing-vec -> origin/hoy/triton-coalescing-vec 2025-08-14T21:03:59.5045747Z * [new branch] inductordecompfix -> origin/inductordecompfix 2025-08-14T21:03:59.5046798Z * [new branch] inline -> origin/inline 2025-08-14T21:03:59.5047832Z * [new branch] inlining -> origin/inlining 2025-08-14T21:03:59.5048946Z * [new branch] inlining-ezyang -> origin/inlining-ezyang 2025-08-14T21:03:59.5050026Z * [new branch] int8_sdpa -> origin/int8_sdpa 2025-08-14T21:03:59.5051186Z * [new branch] invoke-subgraph -> origin/invoke-subgraph 2025-08-14T21:03:59.5052384Z * [new branch] issue#58739 -> origin/issue#58739 2025-08-14T21:03:59.5053309Z * [new branch] issue-154849 -> origin/issue-154849 2025-08-14T21:03:59.5054797Z * [new branch] ivanov/cherry-pick-ckpt-fixes -> origin/ivanov/cherry-pick-ckpt-fixes 2025-08-14T21:03:59.5056191Z * [new branch] jcaip/test-cusparselt-version-0.6.2 -> origin/jcaip/test-cusparselt-version-0.6.2 2025-08-14T21:03:59.5057227Z * [new branch] jcaip/update-cusparselt-0.6.2 -> origin/jcaip/update-cusparselt-0.6.2 2025-08-14T21:03:59.5058284Z * [new branch] jithunnair-amd-patch-1 -> origin/jithunnair-amd-patch-1 2025-08-14T21:03:59.5059597Z * [new branch] justinchu/attention-tests -> origin/justinchu/attention-tests 2025-08-14T21:03:59.5060510Z * [new branch] justinchu/native-qdq -> origin/justinchu/native-qdq 2025-08-14T21:03:59.5061993Z * [new branch] justinchuby/JitScalarType -> origin/justinchuby/JitScalarType 2025-08-14T21:03:59.5063589Z * [new branch] justinchuby/dynamo-true -> origin/justinchuby/dynamo-true 2025-08-14T21:03:59.5064525Z * [new branch] justinchuby/opset-20 -> origin/justinchuby/opset-20 2025-08-14T21:03:59.5065972Z * [new branch] kainan666/xlf_debug -> origin/kainan666/xlf_debug 2025-08-14T21:03:59.5067035Z * [new branch] kainan_test -> origin/kainan_test 2025-08-14T21:03:59.5068520Z * [new branch] leslie/enable_poc_reduction_fusion -> origin/leslie/enable_poc_reduction_fusion 2025-08-14T21:03:59.5069422Z * [new branch] leslie/test_group_gemm_epilogues -> origin/leslie/test_group_gemm_epilogues 2025-08-14T21:03:59.5070887Z * [new branch] lessw2020/fix_cutlass_cache_error -> origin/lessw2020/fix_cutlass_cache_error 2025-08-14T21:03:59.5072149Z * [new branch] liaoxuan/shm_all_reduce -> origin/liaoxuan/shm_all_reduce 2025-08-14T21:03:59.5073085Z * [new branch] liaoxuan/tags_issue -> origin/liaoxuan/tags_issue 2025-08-14T21:03:59.5074118Z * [new branch] liaoxuan/test_fa_disable_softmax -> origin/liaoxuan/test_fa_disable_softmax 2025-08-14T21:03:59.5074872Z * [new branch] liaoxuan/test_int8_sdpa -> origin/liaoxuan/test_int8_sdpa 2025-08-14T21:03:59.5076169Z * [new branch] lintbuilddocker -> origin/lintbuilddocker 2025-08-14T21:03:59.5081139Z * [new branch] llama4-stable -> origin/llama4-stable 2025-08-14T21:03:59.5082349Z * [new branch] logdetfix -> origin/logdetfix 2025-08-14T21:03:59.5084164Z * [new branch] lts/release/1.8 -> origin/lts/release/1.8 2025-08-14T21:03:59.5085935Z * [new branch] lucaskabela/#94773 -> origin/lucaskabela/#94773 2025-08-14T21:03:59.5086905Z * [new branch] lucaskabela/fix_157452 -> origin/lucaskabela/fix_157452 2025-08-14T21:03:59.5088041Z * [new branch] lucaskabela/fix_circular_import_158120 -> origin/lucaskabela/fix_circular_import_158120 2025-08-14T21:03:59.5088896Z * [new branch] lucaskabela/func_under_decomp -> origin/lucaskabela/func_under_decomp 2025-08-14T21:03:59.5089975Z * [new branch] lucaskabela/functional_in_dynamo -> origin/lucaskabela/functional_in_dynamo 2025-08-14T21:03:59.5091271Z * [new branch] lucaskabela/install_params_as_graph_attr -> origin/lucaskabela/install_params_as_graph_attr 2025-08-14T21:03:59.5092361Z * [new branch] lucaskabela/issue_120648 -> origin/lucaskabela/issue_120648 2025-08-14T21:03:59.5093769Z * [new branch] lucaskabela/parameters_as_graph_attr -> origin/lucaskabela/parameters_as_graph_attr 2025-08-14T21:03:59.5094597Z * [new branch] lucaskabela/registry_fix -> origin/lucaskabela/registry_fix 2025-08-14T21:03:59.5095856Z * [new branch] lucaskabela/remove_aot_dispatcher_metadata -> origin/lucaskabela/remove_aot_dispatcher_metadata 2025-08-14T21:03:59.5096763Z * [new branch] lucaskabela/type_guards -> origin/lucaskabela/type_guards 2025-08-14T21:03:59.5097781Z * [new branch] lucaskabela/typing-misc -> origin/lucaskabela/typing-misc 2025-08-14T21:03:59.5098704Z * [new branch] lucaskabela/typing_backends -> origin/lucaskabela/typing_backends 2025-08-14T21:03:59.5099914Z * [new branch] lucaskabela/typing_bytecode_analysis_transform -> origin/lucaskabela/typing_bytecode_analysis_transform 2025-08-14T21:03:59.5100606Z * [new branch] lucaskabela/typing_cache_files -> origin/lucaskabela/typing_cache_files 2025-08-14T21:03:59.5101743Z * [new branch] lucaskabela/typing_compile_autograd -> origin/lucaskabela/typing_compile_autograd 2025-08-14T21:03:59.5102614Z * [new branch] lucaskabela/typing_debug_utils.py -> origin/lucaskabela/typing_debug_utils.py 2025-08-14T21:03:59.5103686Z * [new branch] lucaskabela/typing_decorators -> origin/lucaskabela/typing_decorators 2025-08-14T21:03:59.5104639Z * [new branch] lucaskabela/typing_eval_frame -> origin/lucaskabela/typing_eval_frame 2025-08-14T21:03:59.5105909Z * [new branch] lucaskabela/typing_for_codegen -> origin/lucaskabela/typing_for_codegen 2025-08-14T21:03:59.5106811Z * [new branch] lucaskabela/typing_output_graph -> origin/lucaskabela/typing_output_graph 2025-08-14T21:03:59.5107872Z * [new branch] lucaskabela/typing_side_effects -> origin/lucaskabela/typing_side_effects 2025-08-14T21:03:59.5109045Z * [new branch] lucaskabela/typing_source_guard -> origin/lucaskabela/typing_source_guard 2025-08-14T21:03:59.5109981Z * [new branch] lucaskabela/typing_trace_rules -> origin/lucaskabela/typing_trace_rules 2025-08-14T21:03:59.5110972Z * [new branch] lucaskabela/typing_utils.py -> origin/lucaskabela/typing_utils.py 2025-08-14T21:03:59.5112042Z * [new branch] lucaskabela/typing_utils_improvements -> origin/lucaskabela/typing_utils_improvements 2025-08-14T21:03:59.5113003Z * [new branch] main -> origin/main 2025-08-14T21:03:59.5114472Z * [new branch] main-enable-b200-distributed-tests -> origin/main-enable-b200-distributed-tests 2025-08-14T21:03:59.5115584Z * [new branch] malfet-patch-1 -> origin/malfet-patch-1 2025-08-14T21:03:59.5116663Z * [new branch] malfet-patch-10 -> origin/malfet-patch-10 2025-08-14T21:03:59.5117792Z * [new branch] malfet-patch-11 -> origin/malfet-patch-11 2025-08-14T21:03:59.5118836Z * [new branch] malfet-patch-13 -> origin/malfet-patch-13 2025-08-14T21:03:59.5153307Z * [new branch] malfet-patch-14 -> origin/malfet-patch-14 2025-08-14T21:03:59.5153896Z * [new branch] malfet-patch-2 -> origin/malfet-patch-2 2025-08-14T21:03:59.5154104Z * [new branch] malfet-patch-3 -> origin/malfet-patch-3 2025-08-14T21:03:59.5154296Z * [new branch] malfet-patch-4 -> origin/malfet-patch-4 2025-08-14T21:03:59.5154498Z * [new branch] malfet-patch-5 -> origin/malfet-patch-5 2025-08-14T21:03:59.5154684Z * [new branch] malfet-patch-6 -> origin/malfet-patch-6 2025-08-14T21:03:59.5154872Z * [new branch] malfet-patch-7 -> origin/malfet-patch-7 2025-08-14T21:03:59.5155053Z * [new branch] malfet-patch-8 -> origin/malfet-patch-8 2025-08-14T21:03:59.5155365Z * [new branch] malfet-patch-9 -> origin/malfet-patch-9 2025-08-14T21:03:59.5155622Z * [new branch] malfet/delete-upsteam-cuda -> origin/malfet/delete-upsteam-cuda 2025-08-14T21:03:59.5155879Z * [new branch] malfet/mps-implement-col2im -> origin/malfet/mps-implement-col2im 2025-08-14T21:03:59.5156190Z * [new branch] manuel/fix_multidim_boolean_indexing -> origin/manuel/fix_multidim_boolean_indexing 2025-08-14T21:03:59.5156414Z * [new branch] manuel/np_empty_ellipsis -> origin/manuel/np_empty_ellipsis 2025-08-14T21:03:59.5156726Z * [new branch] manuel/test-ops-common-allow-mps -> origin/manuel/test-ops-common-allow-mps 2025-08-14T21:03:59.5156936Z * [new branch] metascroy-patch-1 -> origin/metascroy-patch-1 2025-08-14T21:03:59.5157143Z * [new branch] mlazos/S429861-debug -> origin/mlazos/S429861-debug 2025-08-14T21:03:59.5157327Z * [new branch] mlazos/aa -> origin/mlazos/aa 2025-08-14T21:03:59.5157529Z * [new branch] mlazos/arg-renames -> origin/mlazos/arg-renames 2025-08-14T21:03:59.5157778Z * [new branch] mlazos/backup-test-branch -> origin/mlazos/backup-test-branch 2025-08-14T21:03:59.5157995Z * [new branch] mlazos/bad-cudagraphs -> origin/mlazos/bad-cudagraphs 2025-08-14T21:03:59.5158186Z * [new branch] mlazos/baseline -> origin/mlazos/baseline 2025-08-14T21:03:59.5158557Z * [new branch] mlazos/baseline-graph-breaks -> origin/mlazos/baseline-graph-breaks 2025-08-14T21:03:59.5158761Z * [new branch] mlazos/beta-tensor -> origin/mlazos/beta-tensor 2025-08-14T21:03:59.5158946Z * [new branch] mlazos/buffers -> origin/mlazos/buffers 2025-08-14T21:03:59.5159141Z * [new branch] mlazos/buffers2 -> origin/mlazos/buffers2 2025-08-14T21:03:59.5159332Z * [new branch] mlazos/buffers3 -> origin/mlazos/buffers3 2025-08-14T21:03:59.5159508Z * [new branch] mlazos/ck2 -> origin/mlazos/ck2 2025-08-14T21:03:59.5159718Z * [new branch] mlazos/combokernels -> origin/mlazos/combokernels 2025-08-14T21:03:59.5159918Z * [new branch] mlazos/ctx-cleanup -> origin/mlazos/ctx-cleanup 2025-08-14T21:03:59.5160154Z * [new branch] mlazos/cudagraph-tests -> origin/mlazos/cudagraph-tests 2025-08-14T21:03:59.5160436Z * [new branch] mlazos/cudagraphs-measurement -> origin/mlazos/cudagraphs-measurement 2025-08-14T21:03:59.5160669Z * [new branch] mlazos/cutlass-test -> origin/mlazos/cutlass-test 2025-08-14T21:03:59.5160900Z * [new branch] mlazos/cutlass-topo-bug -> origin/mlazos/cutlass-topo-bug 2025-08-14T21:03:59.5161099Z * [new branch] mlazos/data-gather -> origin/mlazos/data-gather 2025-08-14T21:03:59.5161315Z * [new branch] mlazos/data-ptrs2 -> origin/mlazos/data-ptrs2 2025-08-14T21:03:59.5161511Z * [new branch] mlazos/data-ptrs3 -> origin/mlazos/data-ptrs3 2025-08-14T21:03:59.5161745Z * [new branch] mlazos/dataclass-proxy -> origin/mlazos/dataclass-proxy 2025-08-14T21:03:59.5161931Z * [new branch] mlazos/dc-attrs -> origin/mlazos/dc-attrs 2025-08-14T21:03:59.5162127Z * [new branch] mlazos/dc-helion -> origin/mlazos/dc-helion 2025-08-14T21:03:59.5162331Z * [new branch] mlazos/dict-fix -> origin/mlazos/dict-fix 2025-08-14T21:03:59.5162932Z * [new branch] mlazos/disable-closures -> origin/mlazos/disable-closures 2025-08-14T21:03:59.5163976Z * [new branch] mlazos/disable-tf -> origin/mlazos/disable-tf 2025-08-14T21:03:59.5164759Z * [new branch] mlazos/dupe-fix -> origin/mlazos/dupe-fix 2025-08-14T21:03:59.5165889Z * [new branch] mlazos/dyn-batch -> origin/mlazos/dyn-batch 2025-08-14T21:03:59.5166846Z * [new branch] mlazos/evt -> origin/mlazos/evt 2025-08-14T21:03:59.5167939Z * [new branch] mlazos/exp_disable -> origin/mlazos/exp_disable 2025-08-14T21:03:59.5168951Z * [new branch] mlazos/extract-examples -> origin/mlazos/extract-examples 2025-08-14T21:03:59.5169867Z * [new branch] mlazos/foreach-op -> origin/mlazos/foreach-op 2025-08-14T21:03:59.5170922Z * [new branch] mlazos/fp8 -> origin/mlazos/fp8 2025-08-14T21:03:59.5171926Z * [new branch] mlazos/fp8-bias -> origin/mlazos/fp8-bias 2025-08-14T21:03:59.5172950Z * [new branch] mlazos/fp8-bias-fusion -> origin/mlazos/fp8-bias-fusion 2025-08-14T21:03:59.5173913Z * [new branch] mlazos/freezing -> origin/mlazos/freezing 2025-08-14T21:03:59.5174883Z * [new branch] mlazos/h-comp -> origin/mlazos/h-comp 2025-08-14T21:03:59.5175917Z * [new branch] mlazos/h-comp2 -> origin/mlazos/h-comp2 2025-08-14T21:03:59.5177088Z * [new branch] mlazos/hash-hop -> origin/mlazos/hash-hop 2025-08-14T21:03:59.5178595Z * [new branch] mlazos/hc -> origin/mlazos/hc 2025-08-14T21:03:59.5179636Z * [new branch] mlazos/hc-cycles -> origin/mlazos/hc-cycles 2025-08-14T21:03:59.5180997Z * [new branch] mlazos/hc-fixes -> origin/mlazos/hc-fixes 2025-08-14T21:03:59.5181792Z * [new branch] mlazos/hc-fixes3 -> origin/mlazos/hc-fixes3 2025-08-14T21:03:59.5182879Z * [new branch] mlazos/hc-fixes4 -> origin/mlazos/hc-fixes4 2025-08-14T21:03:59.5183867Z * [new branch] mlazos/hc-hf -> origin/mlazos/hc-hf 2025-08-14T21:03:59.5184825Z * [new branch] mlazos/hc-mut -> origin/mlazos/hc-mut 2025-08-14T21:03:59.5185916Z * [new branch] mlazos/hc10 -> origin/mlazos/hc10 2025-08-14T21:03:59.5186887Z * [new branch] mlazos/hc11 -> origin/mlazos/hc11 2025-08-14T21:03:59.5187960Z * [new branch] mlazos/hc12 -> origin/mlazos/hc12 2025-08-14T21:03:59.5188931Z * [new branch] mlazos/hc13 -> origin/mlazos/hc13 2025-08-14T21:03:59.5189940Z * [new branch] mlazos/hc14 -> origin/mlazos/hc14 2025-08-14T21:03:59.5190920Z * [new branch] mlazos/hc15 -> origin/mlazos/hc15 2025-08-14T21:03:59.5191882Z * [new branch] mlazos/hc2 -> origin/mlazos/hc2 2025-08-14T21:03:59.5192842Z * [new branch] mlazos/hc4 -> origin/mlazos/hc4 2025-08-14T21:03:59.5193807Z * [new branch] mlazos/hc5 -> origin/mlazos/hc5 2025-08-14T21:03:59.5194843Z * [new branch] mlazos/hc6 -> origin/mlazos/hc6 2025-08-14T21:03:59.5195799Z * [new branch] mlazos/hc7 -> origin/mlazos/hc7 2025-08-14T21:03:59.5196560Z * [new branch] mlazos/hc8 -> origin/mlazos/hc8 2025-08-14T21:03:59.5198029Z * [new branch] mlazos/hc9 -> origin/mlazos/hc9 2025-08-14T21:03:59.5199051Z * [new branch] mlazos/hc_baseline2 -> origin/mlazos/hc_baseline2 2025-08-14T21:03:59.5200050Z * [new branch] mlazos/hop-modes -> origin/mlazos/hop-modes 2025-08-14T21:03:59.5201051Z * [new branch] mlazos/init-per-param -> origin/mlazos/init-per-param 2025-08-14T21:03:59.5201997Z * [new branch] mlazos/init_per_param -> origin/mlazos/init_per_param 2025-08-14T21:03:59.5203010Z * [new branch] mlazos/less-guards -> origin/mlazos/less-guards 2025-08-14T21:03:59.5204157Z * [new branch] mlazos/lr-composibility -> origin/mlazos/lr-composibility 2025-08-14T21:03:59.5204885Z * [new branch] mlazos/main -> origin/mlazos/main 2025-08-14T21:03:59.5206098Z * [new branch] mlazos/main-test-enablement -> origin/mlazos/main-test-enablement 2025-08-14T21:03:59.5207042Z * [new branch] mlazos/main2 -> origin/mlazos/main2 2025-08-14T21:03:59.5208041Z * [new branch] mlazos/mcg -> origin/mlazos/mcg 2025-08-14T21:03:59.5209022Z * [new branch] mlazos/mcg2 -> origin/mlazos/mcg2 2025-08-14T21:03:59.5210059Z * [new branch] mlazos/meta-guards -> origin/mlazos/meta-guards 2025-08-14T21:03:59.5211300Z * [new branch] mlazos/mlazos/ck2 -> origin/mlazos/mlazos/ck2 2025-08-14T21:03:59.5212424Z * [new branch] mlazos/mlazos/foreach-map-adam -> origin/mlazos/mlazos/foreach-map-adam 2025-08-14T21:03:59.5213361Z * [new branch] mlazos/mlazos/tf-mode-backup -> origin/mlazos/mlazos/tf-mode-backup 2025-08-14T21:03:59.5214335Z * [new branch] mlazos/mod-fix -> origin/mlazos/mod-fix 2025-08-14T21:03:59.5215521Z * [new branch] mlazos/mode-fix -> origin/mlazos/mode-fix 2025-08-14T21:03:59.5216508Z * [new branch] mlazos/more-tests -> origin/mlazos/more-tests 2025-08-14T21:03:59.5217522Z * [new branch] mlazos/nested-dc -> origin/mlazos/nested-dc 2025-08-14T21:03:59.5218526Z * [new branch] mlazos/no-cpp -> origin/mlazos/no-cpp 2025-08-14T21:03:59.5219682Z * [new branch] mlazos/no-init-group-handling -> origin/mlazos/no-init-group-handling 2025-08-14T21:03:59.5220346Z * [new branch] mlazos/offsets -> origin/mlazos/offsets 2025-08-14T21:03:59.5221435Z * [new branch] mlazos/opt-bench-exp2 -> origin/mlazos/opt-bench-exp2 2025-08-14T21:03:59.5222389Z * [new branch] mlazos/opt-incr -> origin/mlazos/opt-incr 2025-08-14T21:03:59.5223386Z * [new branch] mlazos/proxy-ctors -> origin/mlazos/proxy-ctors 2025-08-14T21:03:59.5224351Z * [new branch] mlazos/proxy-opt -> origin/mlazos/proxy-opt 2025-08-14T21:03:59.5225349Z * [new branch] mlazos/quant-fix -> origin/mlazos/quant-fix 2025-08-14T21:03:59.5226355Z * [new branch] mlazos/rm-buf-names -> origin/mlazos/rm-buf-names 2025-08-14T21:03:59.5227344Z * [new branch] mlazos/rm-spam -> origin/mlazos/rm-spam 2025-08-14T21:03:59.5228356Z * [new branch] mlazos/rtp -> origin/mlazos/rtp 2025-08-14T21:03:59.5229405Z * [new branch] mlazos/static-idx-dbg -> origin/mlazos/static-idx-dbg 2025-08-14T21:03:59.5230400Z * [new branch] mlazos/static-inputs-log -> origin/mlazos/static-inputs-log 2025-08-14T21:03:59.5231377Z * [new branch] mlazos/sub-param-fix -> origin/mlazos/sub-param-fix 2025-08-14T21:03:59.5232309Z * [new branch] mlazos/td-fix2 -> origin/mlazos/td-fix2 2025-08-14T21:03:59.5233358Z * [new branch] mlazos/tensor-hasattr2 -> origin/mlazos/tensor-hasattr2 2025-08-14T21:03:59.5234321Z * [new branch] mlazos/test -> origin/mlazos/test 2025-08-14T21:03:59.5235385Z * [new branch] mlazos/tf-mode -> origin/mlazos/tf-mode 2025-08-14T21:03:59.5236425Z * [new branch] mlazos/tf-mode-backup2 -> origin/mlazos/tf-mode-backup2 2025-08-14T21:03:59.5237484Z * [new branch] mlazos/tf-mode-reland -> origin/mlazos/tf-mode-reland 2025-08-14T21:03:59.5238644Z * [new branch] mlazos/tf-mode-reland2 -> origin/mlazos/tf-mode-reland2 2025-08-14T21:03:59.5239473Z * [new branch] mlazos/tf-mode-reland3 -> origin/mlazos/tf-mode-reland3 2025-08-14T21:03:59.5240551Z * [new branch] mlazos/topo-fix -> origin/mlazos/topo-fix 2025-08-14T21:03:59.5241572Z * [new branch] mlazos/triton-no-epi -> origin/mlazos/triton-no-epi 2025-08-14T21:03:59.5242533Z * [new branch] mlazos/tune-proto -> origin/mlazos/tune-proto 2025-08-14T21:03:59.5243575Z * [new branch] mlazos/tuple-fixes -> origin/mlazos/tuple-fixes 2025-08-14T21:03:59.5244564Z * [new branch] mlazos/tuple-fixes2 -> origin/mlazos/tuple-fixes2 2025-08-14T21:03:59.5245597Z * [new branch] mlazos/tuple-handling -> origin/mlazos/tuple-handling 2025-08-14T21:03:59.5247065Z * [new branch] mlazos/user-streams -> origin/mlazos/user-streams 2025-08-14T21:03:59.5248051Z * [new branch] mlazos/vary-beta -> origin/mlazos/vary-beta 2025-08-14T21:03:59.5249102Z * [new branch] mlazos/vary-beta2 -> origin/mlazos/vary-beta2 2025-08-14T21:03:59.5250064Z * [new branch] mlazos/weird-perf1 -> origin/mlazos/weird-perf1 2025-08-14T21:03:59.5252026Z * [new branch] mm_out_dtype_compile -> origin/mm_out_dtype_compile 2025-08-14T21:03:59.5253156Z * [new branch] modify-setupvllm -> origin/modify-setupvllm 2025-08-14T21:03:59.5254239Z * [new branch] move-theme-out-docker -> origin/move-theme-out-docker 2025-08-14T21:03:59.5255370Z * [new branch] mps-linear-1d -> origin/mps-linear-1d 2025-08-14T21:03:59.5256796Z * [new branch] msaroufim/be1 -> origin/msaroufim/be1 2025-08-14T21:03:59.5257815Z * [new branch] msaroufim/cn_path -> origin/msaroufim/cn_path 2025-08-14T21:03:59.5258864Z * [new branch] msaroufim/dtensorfusedadam -> origin/msaroufim/dtensorfusedadam 2025-08-14T21:03:59.5259822Z * [new branch] msaroufim/reduce -> origin/msaroufim/reduce 2025-08-14T21:03:59.5261135Z * [new branch] mtia/basic-cmake -> origin/mtia/basic-cmake 2025-08-14T21:03:59.5264042Z * [new branch] muon_dev -> origin/muon_dev 2025-08-14T21:03:59.5264293Z * [new branch] new-modifiy-setupvllm -> origin/new-modifiy-setupvllm 2025-08-14T21:03:59.5264742Z * [new branch] new-setupvllm -> origin/new-setupvllm 2025-08-14T21:03:59.5265639Z * [new branch] newtest-base -> origin/newtest-base 2025-08-14T21:03:59.5266869Z * [new branch] ngimel/cat_perf -> origin/ngimel/cat_perf 2025-08-14T21:03:59.5267911Z * [new branch] ngimel/cudamoduleload -> origin/ngimel/cudamoduleload 2025-08-14T21:03:59.5268758Z * [new branch] ngimel/fabric_driver_version -> origin/ngimel/fabric_driver_version 2025-08-14T21:03:59.5269773Z * [new branch] ngimel/fabric_symm -> origin/ngimel/fabric_symm 2025-08-14T21:03:59.5270703Z * [new branch] ngimel/gg_new -> origin/ngimel/gg_new 2025-08-14T21:03:59.5271514Z * [new branch] ngimel/grouped_mm_checks -> origin/ngimel/grouped_mm_checks 2025-08-14T21:03:59.5272507Z * [new branch] ngimel/guardfabric -> origin/ngimel/guardfabric 2025-08-14T21:03:59.5273393Z * [new branch] ngimel/index_None -> origin/ngimel/index_None 2025-08-14T21:03:59.5274639Z * [new branch] ngimel/modeguard -> origin/ngimel/modeguard 2025-08-14T21:03:59.5275956Z * [new branch] ngimel/multicast_fix -> origin/ngimel/multicast_fix 2025-08-14T21:03:59.5277220Z * [new branch] ngimel/unbind_multimem -> origin/ngimel/unbind_multimem 2025-08-14T21:03:59.5278246Z * [new branch] nightly -> origin/nightly 2025-08-14T21:03:59.5279456Z * [new branch] nmacchioni-patch-10 -> origin/nmacchioni-patch-10 2025-08-14T21:03:59.5280555Z * [new branch] nmacchioni-patch-7 -> origin/nmacchioni-patch-7 2025-08-14T21:03:59.5281645Z * [new branch] nmacchioni-patch-8 -> origin/nmacchioni-patch-8 2025-08-14T21:03:59.5282836Z * [new branch] nmacchioni-patch-9 -> origin/nmacchioni-patch-9 2025-08-14T21:03:59.5283854Z * [new branch] nullplay_fuse_matmul -> origin/nullplay_fuse_matmul 2025-08-14T21:03:59.5285514Z * [new branch] nweidia/enable-B200-inductor-nightly-ci -> origin/nweidia/enable-B200-inductor-nightly-ci 2025-08-14T21:03:59.5286404Z * [new branch] one-off -> origin/one-off 2025-08-14T21:03:59.5288138Z * [new branch] orig/release/1.10 -> origin/orig/release/1.10 2025-08-14T21:03:59.5289180Z * [new branch] orig/release/1.11 -> origin/orig/release/1.11 2025-08-14T21:03:59.5290193Z * [new branch] orig/release/1.12 -> origin/orig/release/1.12 2025-08-14T21:03:59.5291394Z * [new branch] orig/release/1.13 -> origin/orig/release/1.13 2025-08-14T21:03:59.5292429Z * [new branch] orig/release/1.6 -> origin/orig/release/1.6 2025-08-14T21:03:59.5293604Z * [new branch] orig/release/1.7 -> origin/orig/release/1.7 2025-08-14T21:03:59.5294643Z * [new branch] orig/release/1.8 -> origin/orig/release/1.8 2025-08-14T21:03:59.5295780Z * [new branch] orig/release/1.9 -> origin/orig/release/1.9 2025-08-14T21:03:59.5296720Z * [new branch] orig/release/2.0 -> origin/orig/release/2.0 2025-08-14T21:03:59.5297744Z * [new branch] orig/release/2.1 -> origin/orig/release/2.1 2025-08-14T21:03:59.5298781Z * [new branch] orig/release/2.2 -> origin/orig/release/2.2 2025-08-14T21:03:59.5299973Z * [new branch] orig/release/2.3 -> origin/orig/release/2.3 2025-08-14T21:03:59.5300929Z * [new branch] orig/release/2.4 -> origin/orig/release/2.4 2025-08-14T21:03:59.5301889Z * [new branch] orig/release/2.5 -> origin/orig/release/2.5 2025-08-14T21:03:59.5302837Z * [new branch] orig/release/2.6 -> origin/orig/release/2.6 2025-08-14T21:03:59.5304113Z * [new branch] orig/release/2.7 -> origin/orig/release/2.7 2025-08-14T21:03:59.5305549Z * [new branch] orig/release/2.8 -> origin/orig/release/2.8 2025-08-14T21:03:59.5307140Z * [new branch] oulgen/fx_graph -> origin/oulgen/fx_graph 2025-08-14T21:03:59.5308121Z * [new branch] padded-tensor -> origin/padded-tensor 2025-08-14T21:03:59.5309660Z * [new branch] parallel_cat -> origin/parallel_cat 2025-08-14T21:03:59.5310724Z * [new branch] pca2 -> origin/pca2 2025-08-14T21:03:59.5311890Z * [new branch] pianpwk-patch-1 -> origin/pianpwk-patch-1 2025-08-14T21:03:59.5313519Z * [new branch] pianpwk/backed_size_oblivious_export -> origin/pianpwk/backed_size_oblivious_export 2025-08-14T21:03:59.5314291Z * [new branch] pianpwk/dde_repeat_cat -> origin/pianpwk/dde_repeat_cat 2025-08-14T21:03:59.5315356Z * [new branch] pianpwk/draft_export_normalize -> origin/pianpwk/draft_export_normalize 2025-08-14T21:03:59.5316422Z * [new branch] pianpwk/dynamic_source_dim -> origin/pianpwk/dynamic_source_dim 2025-08-14T21:03:59.5317264Z * [new branch] pianpwk/invalidate_fake_memo -> origin/pianpwk/invalidate_fake_memo 2025-08-14T21:03:59.5318618Z * [new branch] pianpwk/lru_cache_bound_sympy -> origin/pianpwk/lru_cache_bound_sympy 2025-08-14T21:03:59.5319964Z * [new branch] pianpwk/max_1_strides -> origin/pianpwk/max_1_strides 2025-08-14T21:03:59.5320916Z * [new branch] pianpwk/nonzero_memo -> origin/pianpwk/nonzero_memo 2025-08-14T21:03:59.5322056Z * [new branch] pianpwk/oblivious_reshape_view_better -> origin/pianpwk/oblivious_reshape_view_better 2025-08-14T21:03:59.5322858Z * [new branch] pianpwk/oblivious_should_swap -> origin/pianpwk/oblivious_should_swap 2025-08-14T21:03:59.5323974Z * [new branch] pianpwk/oblivious_slice_forward -> origin/pianpwk/oblivious_slice_forward 2025-08-14T21:03:59.5324782Z * [new branch] pianpwk/oblivious_where -> origin/pianpwk/oblivious_where 2025-08-14T21:03:59.5325826Z * [new branch] pianpwk/param_static_pgo -> origin/pianpwk/param_static_pgo 2025-08-14T21:03:59.5326835Z * [new branch] pianpwk/pre_forward_hook -> origin/pianpwk/pre_forward_hook 2025-08-14T21:03:59.5327989Z * [new branch] pianpwk/remove_guard_fail_break -> origin/pianpwk/remove_guard_fail_break 2025-08-14T21:03:59.5328922Z * [new branch] pianpwk/slice_fresh_symbols -> origin/pianpwk/slice_fresh_symbols 2025-08-14T21:03:59.5329864Z * [new branch] pianpwk/sym_sym -> origin/pianpwk/sym_sym 2025-08-14T21:03:59.5330896Z * [new branch] pianpwk/test_slice_fake_impl -> origin/pianpwk/test_slice_fake_impl 2025-08-14T21:03:59.5331945Z * [new branch] pianpwk/unbacked_channels_last -> origin/pianpwk/unbacked_channels_last 2025-08-14T21:03:59.5333126Z * [new branch] pianpwk/unbacked_safe_conv1d -> origin/pianpwk/unbacked_safe_conv1d 2025-08-14T21:03:59.5333941Z * [new branch] pianpwk/unbacked_sdpa_flash -> origin/pianpwk/unbacked_sdpa_flash 2025-08-14T21:03:59.5335237Z * [new branch] pianpwk/unbacked_should_swap -> origin/pianpwk/unbacked_should_swap 2025-08-14T21:03:59.5336239Z * [new branch] pianpwk/unbacked_should_swap_2 -> origin/pianpwk/unbacked_should_swap_2 2025-08-14T21:03:59.5337233Z * [new branch] pianpwk/unbacked_slice_binding -> origin/pianpwk/unbacked_slice_binding 2025-08-14T21:03:59.5338192Z * [new branch] pianpwk/unbacked_slice_forward -> origin/pianpwk/unbacked_slice_forward 2025-08-14T21:03:59.5339132Z * [new branch] pianpwk/verbose_tensor_guards -> origin/pianpwk/verbose_tensor_guards 2025-08-14T21:03:59.5340069Z * [new branch] pianpwk/wan21_reshape -> origin/pianpwk/wan21_reshape 2025-08-14T21:03:59.5341101Z * [new branch] pianpwk/whitelist_optimizer -> origin/pianpwk/whitelist_optimizer 2025-08-14T21:03:59.5342192Z * [new branch] pin-torchao -> origin/pin-torchao 2025-08-14T21:03:59.5343666Z * [new branch] piz/fall_back_missing_0705 -> origin/piz/fall_back_missing_0705 2025-08-14T21:03:59.5344875Z * [new branch] piz/fall_back_missing_0716 -> origin/piz/fall_back_missing_0716 2025-08-14T21:03:59.5345790Z * [new branch] piz/fill_dist_cost_0702-3 -> origin/piz/fill_dist_cost_0702-3 2025-08-14T21:03:59.5346869Z * [new branch] piz/fill_dist_cost_0702-4 -> origin/piz/fill_dist_cost_0702-4 2025-08-14T21:03:59.5347667Z * [new branch] piz/fill_dist_cost_0702-5 -> origin/piz/fill_dist_cost_0702-5 2025-08-14T21:03:59.5348737Z * [new branch] piz/fix_sort_ -> origin/piz/fix_sort_ 2025-08-14T21:03:59.5350119Z * [new branch] piz/improve_scatter_0808 -> origin/piz/improve_scatter_0808 2025-08-14T21:03:59.5351252Z * [new branch] pool-separate -> origin/pool-separate 2025-08-14T21:03:59.5352242Z * [new branch] pr-156087 -> origin/pr-156087 2025-08-14T21:03:59.5353692Z * [new branch] pr/131860 -> origin/pr/131860 2025-08-14T21:03:59.5354730Z * [new branch] predispatch_to -> origin/predispatch_to 2025-08-14T21:03:59.5355763Z * [new branch] pt-opt-cuda3 -> origin/pt-opt-cuda3 2025-08-14T21:03:59.5356933Z * [new branch] pt2e-cache-model-device -> origin/pt2e-cache-model-device 2025-08-14T21:03:59.5357918Z * [new branch] pull-latest-theme -> origin/pull-latest-theme 2025-08-14T21:03:59.5358975Z * [new branch] pyobjectslot -> origin/pyobjectslot 2025-08-14T21:03:59.5360584Z * [new branch] python_compiled_autograd -> origin/python_compiled_autograd 2025-08-14T21:03:59.5362486Z * [new branch] qchip/export-D54134695 -> origin/qchip/export-D54134695 2025-08-14T21:03:59.5363532Z * [new branch] quint-bits -> origin/quint-bits 2025-08-14T21:03:59.5365234Z * [new branch] release/1.10 -> origin/release/1.10 2025-08-14T21:03:59.5366308Z * [new branch] release/1.11 -> origin/release/1.11 2025-08-14T21:03:59.5367389Z * [new branch] release/1.12 -> origin/release/1.12 2025-08-14T21:03:59.5368418Z * [new branch] release/1.13 -> origin/release/1.13 2025-08-14T21:03:59.5369361Z * [new branch] release/1.4 -> origin/release/1.4 2025-08-14T21:03:59.5370121Z * [new branch] release/1.4.1 -> origin/release/1.4.1 2025-08-14T21:03:59.5371266Z * [new branch] release/1.5 -> origin/release/1.5 2025-08-14T21:03:59.5372383Z * [new branch] release/1.6 -> origin/release/1.6 2025-08-14T21:03:59.5373364Z * [new branch] release/1.7 -> origin/release/1.7 2025-08-14T21:03:59.5374442Z * [new branch] release/1.8 -> origin/release/1.8 2025-08-14T21:03:59.5375444Z * [new branch] release/1.9 -> origin/release/1.9 2025-08-14T21:03:59.5376569Z * [new branch] release/2.0 -> origin/release/2.0 2025-08-14T21:03:59.5377787Z * [new branch] release/2.1 -> origin/release/2.1 2025-08-14T21:03:59.5378805Z * [new branch] release/2.2 -> origin/release/2.2 2025-08-14T21:03:59.5380168Z * [new branch] release/2.3 -> origin/release/2.3 2025-08-14T21:03:59.5381525Z * [new branch] release/2.4 -> origin/release/2.4 2025-08-14T21:03:59.5383288Z * [new branch] release/2.5 -> origin/release/2.5 2025-08-14T21:03:59.5384394Z * [new branch] release/2.6 -> origin/release/2.6 2025-08-14T21:03:59.5385533Z * [new branch] release/2.7 -> origin/release/2.7 2025-08-14T21:03:59.5386698Z * [new branch] release/2.8 -> origin/release/2.8 2025-08-14T21:03:59.5387889Z * [new branch] release_notes -> origin/release_notes 2025-08-14T21:03:59.5389009Z * [new branch] remove-actionable-label -> origin/remove-actionable-label 2025-08-14T21:03:59.5390025Z * [new branch] remove-ao -> origin/remove-ao 2025-08-14T21:03:59.5391291Z * [new branch] replace-pytorch-labs-20250812-195836 -> origin/replace-pytorch-labs-20250812-195836 2025-08-14T21:03:59.5392104Z * [new branch] replace-pytorch-labs-20250812-200248 -> origin/replace-pytorch-labs-20250812-200248 2025-08-14T21:03:59.5393121Z * [new branch] replace-pytorch-labs-20250812-200324 -> origin/replace-pytorch-labs-20250812-200324 2025-08-14T21:03:59.5394610Z * [new branch] replace-pytorch-labs-20250812-204020 -> origin/replace-pytorch-labs-20250812-204020 2025-08-14T21:03:59.5395757Z * [new branch] replace-pytorch-labs-20250812-204125 -> origin/replace-pytorch-labs-20250812-204125 2025-08-14T21:03:59.5396729Z * [new branch] replace-pytorch-labs-20250812-205624 -> origin/replace-pytorch-labs-20250812-205624 2025-08-14T21:03:59.5399025Z * [new branch] revert-131069-gh/krzysztofjordan/1/head -> origin/revert-131069-gh/krzysztofjordan/1/head 2025-08-14T21:03:59.5400937Z * [new branch] revert-131469-gh/andrewor14/51/head -> origin/revert-131469-gh/andrewor14/51/head 2025-08-14T21:03:59.5402976Z * [new branch] revert-156870-gh/skarjala/3/head -> origin/revert-156870-gh/skarjala/3/head 2025-08-14T21:03:59.5404332Z * [new branch] revert-157914-cherry-pick-157503-by-pytorch_bot_bot_ -> origin/revert-157914-cherry-pick-157503-by-pytorch_bot_bot_ 2025-08-14T21:03:59.5405081Z * [new branch] revert-direct-updates -> origin/revert-direct-updates 2025-08-14T21:03:59.5406185Z * [new branch] rocm-monitoring -> origin/rocm-monitoring 2025-08-14T21:03:59.5407854Z * [new branch] ryanguo99/cleanup-dynamo-expected-failures -> origin/ryanguo99/cleanup-dynamo-expected-failures 2025-08-14T21:03:59.5408553Z * [new branch] ryanguo99/fix-closure-var -> origin/ryanguo99/fix-closure-var 2025-08-14T21:03:59.5410084Z * [new branch] rzou/faketensor_bench -> origin/rzou/faketensor_bench 2025-08-14T21:03:59.5410957Z * [new branch] rzou/njt -> origin/rzou/njt 2025-08-14T21:03:59.5411885Z * [new branch] rzou/operator -> origin/rzou/operator 2025-08-14T21:03:59.5412875Z * [new branch] rzou/pca -> origin/rzou/pca 2025-08-14T21:03:59.5414041Z * [new branch] rzou/pipe_split -> origin/rzou/pipe_split 2025-08-14T21:03:59.5414831Z * [new branch] rzou/realprop -> origin/rzou/realprop 2025-08-14T21:03:59.5415909Z * [new branch] rzou/setup_context -> origin/rzou/setup_context 2025-08-14T21:03:59.5417520Z * [new branch] sanchitintel/refactor_aten_int8_woq_gemm -> origin/sanchitintel/refactor_aten_int8_woq_gemm 2025-08-14T21:03:59.5418729Z * [new branch] sanchitintel/weird_thing_with_test_cpu_select_algorithm -> origin/sanchitintel/weird_thing_with_test_cpu_select_algorithm 2025-08-14T21:03:59.5419558Z * [new branch] sapling-pr-archive-SS-JIA -> origin/sapling-pr-archive-SS-JIA 2025-08-14T21:03:59.5420638Z * [new branch] save -> origin/save 2025-08-14T21:03:59.5422023Z * [new branch] sdym/2.5.1 -> origin/sdym/2.5.1 2025-08-14T21:03:59.5423303Z * [new branch] seemethere-patch-1 -> origin/seemethere-patch-1 2025-08-14T21:03:59.5424218Z * [new branch] setup-torchci -> origin/setup-torchci 2025-08-14T21:03:59.5425317Z * [new branch] setupvllm -> origin/setupvllm 2025-08-14T21:03:59.5426521Z * [new branch] share_and_pin_fork -> origin/share_and_pin_fork 2025-08-14T21:03:59.5427948Z * [new branch] shengf/fx-xform-perf -> origin/shengf/fx-xform-perf 2025-08-14T21:03:59.5428976Z * [new branch] shikaili_fp8_allgather -> origin/shikaili_fp8_allgather 2025-08-14T21:03:59.5430088Z * [new branch] shoumikhin-patch-12 -> origin/shoumikhin-patch-12 2025-08-14T21:03:59.5431219Z * [new branch] simplify-fq-per-channel -> origin/simplify-fq-per-channel 2025-08-14T21:03:59.5432283Z * [new branch] solve-accuracy-fix -> origin/solve-accuracy-fix 2025-08-14T21:03:59.5433749Z * [new branch] sqzhang/flight4 -> origin/sqzhang/flight4 2025-08-14T21:03:59.5434780Z * [new branch] sqzhang/flight4plus -> origin/sqzhang/flight4plus 2025-08-14T21:03:59.5436139Z * [new branch] sraikund/record_funct_test -> origin/sraikund/record_funct_test 2025-08-14T21:03:59.5437495Z * [new branch] sraikund16/test -> origin/sraikund16/test 2025-08-14T21:03:59.5438631Z * [new branch] stablize-compilation-time -> origin/stablize-compilation-time 2025-08-14T21:03:59.5439732Z * [new branch] standalone-templates -> origin/standalone-templates 2025-08-14T21:03:59.5440851Z * [new branch] standalone_package_weights -> origin/standalone_package_weights 2025-08-14T21:03:59.5441899Z * [new branch] starterTaskUpdate -> origin/starterTaskUpdate 2025-08-14T21:03:59.5442914Z * [new branch] step2vllmsetup -> origin/step2vllmsetup 2025-08-14T21:03:59.5443931Z * [new branch] subgraph_fuse -> origin/subgraph_fuse 2025-08-14T21:03:59.5445141Z * [new branch] support-uv-in-collect_env -> origin/support-uv-in-collect_env 2025-08-14T21:03:59.5446454Z * [new branch] suryasub/fix-nccl-hang -> origin/suryasub/fix-nccl-hang 2025-08-14T21:03:59.5447444Z * [new branch] sve-poc -> origin/sve-poc 2025-08-14T21:03:59.5448536Z * [new branch] svekars-patch-1 -> origin/svekars-patch-1 2025-08-14T21:03:59.5449577Z * [new branch] svekars-patch-2 -> origin/svekars-patch-2 2025-08-14T21:03:59.5450662Z * [new branch] switch-bn -> origin/switch-bn 2025-08-14T21:03:59.5452291Z * [new branch] sympy-bottleneck-repro -> origin/sympy-bottleneck-repro 2025-08-14T21:03:59.5454008Z * [new branch] tenpercent/ck_inductor_gfx950 -> origin/tenpercent/ck_inductor_gfx950 2025-08-14T21:03:59.5455544Z * [new branch] tensordict_integration -> origin/tensordict_integration 2025-08-14T21:03:59.5456679Z * [new branch] test-half-migration-internally -> origin/test-half-migration-internally 2025-08-14T21:03:59.5457739Z * [new branch] test-internal-et -> origin/test-internal-et 2025-08-14T21:03:59.5458919Z * [new branch] test-move-conda-builds -> origin/test-move-conda-builds 2025-08-14T21:03:59.5460087Z * [new branch] test-myst-markdown-docstring -> origin/test-myst-markdown-docstring 2025-08-14T21:03:59.5461113Z * [new branch] test-old -> origin/test-old 2025-08-14T21:03:59.5462261Z * [new branch] test-vec-migration-internally -> origin/test-vec-migration-internally 2025-08-14T21:03:59.5463530Z * [new branch] test/bmm_heur -> origin/test/bmm_heur 2025-08-14T21:03:59.5464591Z * [new branch] test/inductor -> origin/test/inductor 2025-08-14T21:03:59.5465763Z * [new branch] tidy_performance_cyy -> origin/tidy_performance_cyy 2025-08-14T21:03:59.5466871Z * [new branch] torchtitan_ep -> origin/torchtitan_ep 2025-08-14T21:03:59.5467977Z * [new branch] trace_fsdp_torchtune_lora -> origin/trace_fsdp_torchtune_lora 2025-08-14T21:03:59.5468947Z * [new branch] traceable_fsdp_unit_tests -> origin/traceable_fsdp_unit_tests 2025-08-14T21:03:59.5469970Z * [new branch] trackMonitor -> origin/trackMonitor 2025-08-14T21:03:59.5471089Z * [new branch] tree_loop_vec_base -> origin/tree_loop_vec_base 2025-08-14T21:03:59.5472211Z * [new branch] tree_vec_base -> origin/tree_vec_base 2025-08-14T21:03:59.5473407Z * [new branch] triton-update -> origin/triton-update 2025-08-14T21:03:59.5474617Z * [new branch] triton_kernel -> origin/triton_kernel 2025-08-14T21:03:59.5475604Z * [new branch] triton_kernel_perf -> origin/triton_kernel_perf 2025-08-14T21:03:59.5476835Z * [new branch] try-runllm -> origin/try-runllm 2025-08-14T21:03:59.5478000Z * [new branch] type_dec -> origin/type_dec 2025-08-14T21:03:59.5479208Z * [new branch] udate-sphinx-dependancies -> origin/udate-sphinx-dependancies 2025-08-14T21:03:59.5480678Z * [new branch] update-audio-commit-hash/16307312222-1661-1 -> origin/update-audio-commit-hash/16307312222-1661-1 2025-08-14T21:03:59.5481597Z * [new branch] update-audio-commit-hash/16431348808-1673-1 -> origin/update-audio-commit-hash/16431348808-1673-1 2025-08-14T21:03:59.5482525Z * [new branch] update-audio-commit-hash/16510774365-1683-1 -> origin/update-audio-commit-hash/16510774365-1683-1 2025-08-14T21:03:59.5483450Z * [new branch] update-audio-commit-hash/16583472358-1693-1 -> origin/update-audio-commit-hash/16583472358-1693-1 2025-08-14T21:03:59.5484344Z * [new branch] update-audio-commit-hash/16663082088-1700-1 -> origin/update-audio-commit-hash/16663082088-1700-1 2025-08-14T21:03:59.5485683Z * [new branch] update-audio-commit-hash/16737365217-1704-1 -> origin/update-audio-commit-hash/16737365217-1704-1 2025-08-14T21:03:59.5486982Z * [new branch] update-audio-commit-hash/16791960928-1711-1 -> origin/update-audio-commit-hash/16791960928-1711-1 2025-08-14T21:03:59.5488319Z * [new branch] update-audio-commit-hash/16818882925-1712-1 -> origin/update-audio-commit-hash/16818882925-1712-1 2025-08-14T21:03:59.5489260Z * [new branch] update-audio-commit-hash/16895560422-1720-1 -> origin/update-audio-commit-hash/16895560422-1720-1 2025-08-14T21:03:59.5490459Z * [new branch] update-audio-commit-hash/16924174496-1738-1 -> origin/update-audio-commit-hash/16924174496-1738-1 2025-08-14T21:03:59.5491396Z * [new branch] update-dynamic-shapes-doc -> origin/update-dynamic-shapes-doc 2025-08-14T21:03:59.5492899Z * [new branch] update-executorch-commit-hash/15694981040-1626-1 -> origin/update-executorch-commit-hash/15694981040-1626-1 2025-08-14T21:03:59.5494191Z * [new branch] update-triton-commit-hash/13663274526-1487-2 -> origin/update-triton-commit-hash/13663274526-1487-2 2025-08-14T21:03:59.5495471Z * [new branch] update-vision-commit-hash/15336342773-1607-1 -> origin/update-vision-commit-hash/15336342773-1607-1 2025-08-14T21:03:59.5496807Z * [new branch] update-vllm-commit-hash/16431348808-1673-1 -> origin/update-vllm-commit-hash/16431348808-1673-1 2025-08-14T21:03:59.5497745Z * [new branch] update-vllm-commit-hash/16484773233-1682-1 -> origin/update-vllm-commit-hash/16484773233-1682-1 2025-08-14T21:03:59.5498787Z * [new branch] update-vllm-commit-hash/16510774365-1683-1 -> origin/update-vllm-commit-hash/16510774365-1683-1 2025-08-14T21:03:59.5499674Z * [new branch] update-vllm-commit-hash/16534031105-1684-1 -> origin/update-vllm-commit-hash/16534031105-1684-1 2025-08-14T21:03:59.5500601Z * [new branch] update-vllm-commit-hash/16545403308-1687-1 -> origin/update-vllm-commit-hash/16545403308-1687-1 2025-08-14T21:03:59.5501871Z * [new branch] update-vllm-commit-hash/16557202787-1688-1 -> origin/update-vllm-commit-hash/16557202787-1688-1 2025-08-14T21:03:59.5503071Z * [new branch] update-vllm-commit-hash/16583472358-1693-1 -> origin/update-vllm-commit-hash/16583472358-1693-1 2025-08-14T21:03:59.5504449Z * [new branch] update-vllm-commit-hash/16663082088-1700-1 -> origin/update-vllm-commit-hash/16663082088-1700-1 2025-08-14T21:03:59.5505354Z * [new branch] update-vllm-commit-hash/16737365217-1704-1 -> origin/update-vllm-commit-hash/16737365217-1704-1 2025-08-14T21:03:59.5506577Z * [new branch] update-vllm-commit-hash/16843157111-1713-1 -> origin/update-vllm-commit-hash/16843157111-1713-1 2025-08-14T21:03:59.5507456Z * [new branch] update-vllm-commit-hash/16855312394-1714-1 -> origin/update-vllm-commit-hash/16855312394-1714-1 2025-08-14T21:03:59.5508618Z * [new branch] update-vllm-commit-hash/16924174496-1738-1 -> origin/update-vllm-commit-hash/16924174496-1738-1 2025-08-14T21:03:59.5509970Z * [new branch] update-vllm-commit-hash/16952608705-1745-1 -> origin/update-vllm-commit-hash/16952608705-1745-1 2025-08-14T21:03:59.5511716Z * [new branch] update-xla-commit-hash/16260974441-194-1 -> origin/update-xla-commit-hash/16260974441-194-1 2025-08-14T21:03:59.5512608Z * [new branch] update-xla-commit-hash/16717126778-197-1 -> origin/update-xla-commit-hash/16717126778-197-1 2025-08-14T21:03:59.5513623Z * [new branch] update-xla-commit-hash/16873912760-198-1 -> origin/update-xla-commit-hash/16873912760-198-1 2025-08-14T21:03:59.5514766Z * [new branch] update_docs_torch_multinomial_issue#125388 -> origin/update_docs_torch_multinomial_issue#125388 2025-08-14T21:03:59.5515579Z * [new branch] update_executorch_pin -> origin/update_executorch_pin 2025-08-14T21:03:59.5516769Z * [new branch] update_slow_tests_1722488736 -> origin/update_slow_tests_1722488736 2025-08-14T21:03:59.5517758Z * [new branch] update_slow_tests_1722879173 -> origin/update_slow_tests_1722879173 2025-08-14T21:03:59.5518776Z * [new branch] update_slow_tests_1752478971 -> origin/update_slow_tests_1752478971 2025-08-14T21:03:59.5519802Z * [new branch] update_submodule_FBGEMM -> origin/update_submodule_FBGEMM 2025-08-14T21:03:59.5520881Z * [new branch] update_submodule_kineto -> origin/update_submodule_kineto 2025-08-14T21:03:59.5521883Z * [new branch] update_submodule_tensorpipe -> origin/update_submodule_tensorpipe 2025-08-14T21:03:59.5523356Z * [new branch] v0.1.2 -> origin/v0.1.2 2025-08-14T21:03:59.5524485Z * [new branch] v1.0.1 -> origin/v1.0.1 2025-08-14T21:03:59.5525587Z * [new branch] v1.0.3 -> origin/v1.0.3 2025-08-14T21:03:59.5526733Z * [new branch] v1.1.0 -> origin/v1.1.0 2025-08-14T21:03:59.5527867Z * [new branch] v1.2.0 -> origin/v1.2.0 2025-08-14T21:03:59.5528990Z * [new branch] v1.3.0 -> origin/v1.3.0 2025-08-14T21:03:59.5530153Z * [new branch] v1.3.1 -> origin/v1.3.1 2025-08-14T21:03:59.5531230Z * [new branch] validate_fn -> origin/validate_fn 2025-08-14T21:03:59.5532476Z * [new branch] validations_2.6 -> origin/validations_2.6 2025-08-14T21:03:59.5533590Z * [new branch] validations_2.8 -> origin/validations_2.8 2025-08-14T21:03:59.5535027Z * [new branch] viable/strict -> origin/viable/strict 2025-08-14T21:03:59.5536065Z * [new branch] vllmbuildci -> origin/vllmbuildci 2025-08-14T21:03:59.5537139Z * [new branch] vllmpin -> origin/vllmpin 2025-08-14T21:03:59.5538422Z * [new branch] vllmpintest -> origin/vllmpintest 2025-08-14T21:03:59.5539584Z * [new branch] wdvr-patch-1 -> origin/wdvr-patch-1 2025-08-14T21:03:59.5540712Z * [new branch] wdvr-patch-2 -> origin/wdvr-patch-2 2025-08-14T21:03:59.5542153Z * [new branch] wdvr/conda_devcontainer -> origin/wdvr/conda_devcontainer 2025-08-14T21:03:59.5543567Z * [new branch] wdvr/fix_logging_test -> origin/wdvr/fix_logging_test 2025-08-14T21:03:59.5544485Z * [new branch] wdvr/iss_145259 -> origin/wdvr/iss_145259 2025-08-14T21:03:59.5545552Z * [new branch] weight_sharing_cpp -> origin/weight_sharing_cpp 2025-08-14T21:03:59.5547187Z * [new branch] whc/flight -> origin/whc/flight 2025-08-14T21:03:59.5548345Z * [new branch] whc/flight4 -> origin/whc/flight4 2025-08-14T21:03:59.5549320Z * [new branch] whc/flight51 -> origin/whc/flight51 2025-08-14T21:03:59.5550263Z * [new branch] whc/flight53 -> origin/whc/flight53 2025-08-14T21:03:59.5551217Z * [new branch] whc/p2phang -> origin/whc/p2phang 2025-08-14T21:03:59.5552226Z * [new branch] whc/stage2 -> origin/whc/stage2 2025-08-14T21:03:59.5553143Z * [new branch] whc/uneven -> origin/whc/uneven 2025-08-14T21:03:59.5554544Z * [new branch] whc/uneven-merge -> origin/whc/uneven-merge 2025-08-14T21:03:59.5555624Z * [new branch] win_warnings -> origin/win_warnings 2025-08-14T21:03:59.5556631Z * [new branch] workonoldcommit -> origin/workonoldcommit 2025-08-14T21:03:59.5558044Z * [new branch] wwen/programming-model-2.8 -> origin/wwen/programming-model-2.8 2025-08-14T21:03:59.5559301Z * [new branch] xmfan/ca_0516 -> origin/xmfan/ca_0516 2025-08-14T21:03:59.5560296Z * [new branch] xmfan/ca_1051b93192 -> origin/xmfan/ca_1051b93192 2025-08-14T21:03:59.5561289Z * [new branch] xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8 -> origin/xmfan/ca_1a722f62c248391fc4a542e8851a5559aa356ae8 2025-08-14T21:03:59.5562055Z * [new branch] xmfan/ca_5a2be192d1 -> origin/xmfan/ca_5a2be192d1 2025-08-14T21:03:59.5563057Z * [new branch] xmfan/ca_9d59b516e9 -> origin/xmfan/ca_9d59b516e9 2025-08-14T21:03:59.5564068Z * [new branch] xmfan/ca_api -> origin/xmfan/ca_api 2025-08-14T21:03:59.5564991Z * [new branch] xmfan/ca_apr8 -> origin/xmfan/ca_apr8 2025-08-14T21:03:59.5566116Z * [new branch] xmfan/ca_base -> origin/xmfan/ca_base 2025-08-14T21:03:59.5567465Z * [new branch] xmfan/ca_cudagraphs -> origin/xmfan/ca_cudagraphs 2025-08-14T21:03:59.5568420Z * [new branch] xmfan/ca_dynamic -> origin/xmfan/ca_dynamic 2025-08-14T21:03:59.5569492Z * [new branch] xmfan/ca_fix_dyn -> origin/xmfan/ca_fix_dyn 2025-08-14T21:03:59.5570462Z * [new branch] xmfan/ca_fix_lowering -> origin/xmfan/ca_fix_lowering 2025-08-14T21:03:59.5571833Z * [new branch] xmfan/ca_fix_polyfills -> origin/xmfan/ca_fix_polyfills 2025-08-14T21:03:59.5572569Z * [new branch] xmfan/ca_jan3 -> origin/xmfan/ca_jan3 2025-08-14T21:03:59.5573622Z * [new branch] xmfan/ca_jun18 -> origin/xmfan/ca_jun18 2025-08-14T21:03:59.5574641Z * [new branch] xmfan/ca_jun24 -> origin/xmfan/ca_jun24 2025-08-14T21:03:59.5575585Z * [new branch] xmfan/ca_mem_base -> origin/xmfan/ca_mem_base 2025-08-14T21:03:59.5579856Z * [new branch] xmfan/ca_mem_fix -> origin/xmfan/ca_mem_fix 2025-08-14T21:03:59.5581013Z * [new branch] xmfan/ca_memory_fix -> origin/xmfan/ca_memory_fix 2025-08-14T21:03:59.5582025Z * [new branch] xmfan/ca_memory_fix_rebased -> origin/xmfan/ca_memory_fix_rebased 2025-08-14T21:03:59.5583098Z * [new branch] xmfan/ca_memory_fix_rebased2 -> origin/xmfan/ca_memory_fix_rebased2 2025-08-14T21:03:59.5583983Z * [new branch] xmfan/ca_move_to_cuda -> origin/xmfan/ca_move_to_cuda 2025-08-14T21:03:59.5585004Z * [new branch] xmfan/ca_nested -> origin/xmfan/ca_nested 2025-08-14T21:03:59.5586094Z * [new branch] xmfan/ca_overhead -> origin/xmfan/ca_overhead 2025-08-14T21:03:59.5587189Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-08-14T21:03:59.5587975Z * [new branch] xmfan/ca_scalar -> origin/xmfan/ca_scalar 2025-08-14T21:03:59.5589237Z * [new branch] xmfan/ca_subclass_mem_fix -> origin/xmfan/ca_subclass_mem_fix 2025-08-14T21:03:59.5590075Z * [new branch] xmfan/ca_warm_mem -> origin/xmfan/ca_warm_mem 2025-08-14T21:03:59.5591163Z * [new branch] xmfan/ca_warm_mem_base -> origin/xmfan/ca_warm_mem_base 2025-08-14T21:03:59.5592091Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-08-14T21:03:59.5593503Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-08-14T21:03:59.5594468Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-08-14T21:03:59.5595468Z * [new branch] xmfan/cacu_may27 -> origin/xmfan/cacu_may27 2025-08-14T21:03:59.5596476Z * [new branch] xmfan/circular_dep -> origin/xmfan/circular_dep 2025-08-14T21:03:59.5597445Z * [new branch] xmfan/compiled_autograd_feb_29 -> origin/xmfan/compiled_autograd_feb_29 2025-08-14T21:03:59.5598512Z * [new branch] xmfan/compiled_autograd_graph_breaks -> origin/xmfan/compiled_autograd_graph_breaks 2025-08-14T21:03:59.5599301Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-08-14T21:03:59.5600393Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-08-14T21:03:59.5601337Z * [new branch] xmfan/issue_123374 -> origin/xmfan/issue_123374 2025-08-14T21:03:59.5602526Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-08-14T21:03:59.5603517Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-08-14T21:03:59.5604310Z * [new branch] xmfan/segfault_test -> origin/xmfan/segfault_test 2025-08-14T21:03:59.5605482Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-08-14T21:03:59.5606494Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-08-14T21:03:59.5607531Z * [new branch] xmfan/test -> origin/xmfan/test 2025-08-14T21:03:59.5608696Z * [new branch] y-do-we-have-7-build-systems -> origin/y-do-we-have-7-build-systems 2025-08-14T21:03:59.5610036Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-08-14T21:03:59.5610849Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-08-14T21:03:59.5611907Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-08-14T21:03:59.5612942Z * [new branch] yihan_quantization -> origin/yihan_quantization 2025-08-14T21:03:59.5614338Z * [new branch] yiming/add_nativert_benchmark -> origin/yiming/add_nativert_benchmark 2025-08-14T21:03:59.5615072Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-08-14T21:03:59.5616564Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-08-14T21:03:59.5617706Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-08-14T21:03:59.5618690Z * [new branch] zainr/fixlint -> origin/zainr/fixlint 2025-08-14T21:03:59.5619722Z * [new branch] zainr/git-push-v2 -> origin/zainr/git-push-v2 2025-08-14T21:03:59.5620641Z * [new branch] zainr/lint-py3.9 -> origin/zainr/lint-py3.9 2025-08-14T21:03:59.5621654Z * [new branch] zainr/mypy15-claude -> origin/zainr/mypy15-claude 2025-08-14T21:03:59.5622557Z * [new branch] zainr/pre-push-hooks -> origin/zainr/pre-push-hooks 2025-08-14T21:03:59.5623853Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-08-14T21:03:59.5625002Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-08-14T21:03:59.5626559Z * [new branch] zainr/unstable -> origin/zainr/unstable 2025-08-14T21:03:59.5627590Z * [new branch] zainr/unstable-xla -> origin/zainr/unstable-xla 2025-08-14T21:03:59.5628575Z * [new branch] zainr/uv-pip-fix -> origin/zainr/uv-pip-fix 2025-08-14T21:03:59.5629690Z * [new branch] zainr/vs-aarch64 -> origin/zainr/vs-aarch64 2025-08-14T21:03:59.5630906Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-08-14T21:03:59.5631963Z * [new branch] zb2p -> origin/zb2p 2025-08-14T21:03:59.5633157Z * [new branch] zdevito-patch-1 -> origin/zdevito-patch-1 2025-08-14T21:03:59.5634228Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-08-14T21:03:59.5636117Z * [new branch] zhxchen17/nativert/0 -> origin/zhxchen17/nativert/0 2025-08-14T21:03:59.5637770Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-08-14T21:03:59.5639201Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-08-14T21:03:59.5640572Z * [new branch] zxiiro/bazel -> origin/zxiiro/bazel 2025-08-14T21:03:59.5641673Z * [new branch] zxiiro/get-hardware -> origin/zxiiro/get-hardware 2025-08-14T21:03:59.5642620Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-08-14T21:03:59.5643597Z * [new branch] zxiiro/test -> origin/zxiiro/test 2025-08-14T21:03:59.5644826Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-08-14T21:03:59.5645413Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-08-14T21:03:59.5646491Z * [new tag] ciflow/binaries/138996 -> ciflow/binaries/138996 2025-08-14T21:03:59.5647133Z * [new tag] ciflow/binaries/143959 -> ciflow/binaries/143959 2025-08-14T21:03:59.5647848Z * [new tag] ciflow/binaries/154595 -> ciflow/binaries/154595 2025-08-14T21:03:59.5648498Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-08-14T21:03:59.5649320Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-08-14T21:03:59.5649747Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-08-14T21:03:59.5650384Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-08-14T21:03:59.5651645Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-08-14T21:03:59.5652116Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-08-14T21:03:59.5653060Z * [new tag] ciflow/binaries/158623 -> ciflow/binaries/158623 2025-08-14T21:03:59.5653563Z * [new tag] ciflow/binaries/159827 -> ciflow/binaries/159827 2025-08-14T21:03:59.5654707Z * [new tag] ciflow/binaries/159869 -> ciflow/binaries/159869 2025-08-14T21:03:59.5655711Z * [new tag] ciflow/binaries/160593 -> ciflow/binaries/160593 2025-08-14T21:03:59.5656460Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-08-14T21:03:59.5657054Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-08-14T21:03:59.5657733Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-08-14T21:03:59.5658472Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-08-14T21:03:59.5659043Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-08-14T21:03:59.5659727Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-08-14T21:03:59.5660472Z * [new tag] ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733 2025-08-14T21:03:59.5661150Z * [new tag] ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301 2025-08-14T21:03:59.5662409Z * [new tag] ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496 2025-08-14T21:03:59.5663171Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-08-14T21:03:59.5664115Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-08-14T21:03:59.5664619Z * [new tag] ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923 2025-08-14T21:03:59.5665265Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-08-14T21:03:59.5666256Z * [new tag] ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118 2025-08-14T21:03:59.5667039Z * [new tag] ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562 2025-08-14T21:03:59.5667715Z * [new tag] ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889 2025-08-14T21:03:59.5668430Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-08-14T21:03:59.5669361Z * [new tag] ciflow/h100/160450 -> ciflow/h100/160450 2025-08-14T21:03:59.5670131Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-08-14T21:03:59.5671039Z * [new tag] ciflow/h100/160614 -> ciflow/h100/160614 2025-08-14T21:03:59.5672201Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-08-14T21:03:59.5672781Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538 2025-08-14T21:03:59.5674027Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599 2025-08-14T21:03:59.5675220Z * [new tag] ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406 2025-08-14T21:03:59.5675698Z * [new tag] ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538 2025-08-14T21:03:59.5676748Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-08-14T21:03:59.5677323Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-08-14T21:03:59.5678023Z * [new tag] ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073 2025-08-14T21:03:59.5678607Z * [new tag] ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538 2025-08-14T21:03:59.5679510Z * [new tag] ciflow/inductor/134881 -> ciflow/inductor/134881 2025-08-14T21:03:59.5680024Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-08-14T21:03:59.5680679Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-08-14T21:03:59.5681322Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-08-14T21:03:59.5681939Z * [new tag] ciflow/inductor/147360 -> ciflow/inductor/147360 2025-08-14T21:03:59.5682580Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-08-14T21:03:59.5683216Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-08-14T21:03:59.5684339Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-08-14T21:03:59.5684952Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-08-14T21:03:59.5685528Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-08-14T21:03:59.5686170Z * [new tag] ciflow/inductor/150302 -> ciflow/inductor/150302 2025-08-14T21:03:59.5687051Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-08-14T21:03:59.5688080Z * [new tag] ciflow/inductor/152198 -> ciflow/inductor/152198 2025-08-14T21:03:59.5688755Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-08-14T21:03:59.5689433Z * [new tag] ciflow/inductor/153966 -> ciflow/inductor/153966 2025-08-14T21:03:59.5690129Z * [new tag] ciflow/inductor/154193 -> ciflow/inductor/154193 2025-08-14T21:03:59.5691122Z * [new tag] ciflow/inductor/154650 -> ciflow/inductor/154650 2025-08-14T21:03:59.5691690Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-08-14T21:03:59.5692348Z * [new tag] ciflow/inductor/155072 -> ciflow/inductor/155072 2025-08-14T21:03:59.5693106Z * [new tag] ciflow/inductor/155152 -> ciflow/inductor/155152 2025-08-14T21:03:59.5693775Z * [new tag] ciflow/inductor/155153 -> ciflow/inductor/155153 2025-08-14T21:03:59.5694437Z * [new tag] ciflow/inductor/155154 -> ciflow/inductor/155154 2025-08-14T21:03:59.5695087Z * [new tag] ciflow/inductor/155501 -> ciflow/inductor/155501 2025-08-14T21:03:59.5695847Z * [new tag] ciflow/inductor/155502 -> ciflow/inductor/155502 2025-08-14T21:03:59.5696466Z * [new tag] ciflow/inductor/155503 -> ciflow/inductor/155503 2025-08-14T21:03:59.5697470Z * [new tag] ciflow/inductor/155504 -> ciflow/inductor/155504 2025-08-14T21:03:59.5698162Z * [new tag] ciflow/inductor/155557 -> ciflow/inductor/155557 2025-08-14T21:03:59.5698700Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-08-14T21:03:59.5699365Z * [new tag] ciflow/inductor/155923 -> ciflow/inductor/155923 2025-08-14T21:03:59.5699997Z * [new tag] ciflow/inductor/155928 -> ciflow/inductor/155928 2025-08-14T21:03:59.5700915Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-08-14T21:03:59.5701433Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-08-14T21:03:59.5702140Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-08-14T21:03:59.5702821Z * [new tag] ciflow/inductor/156967 -> ciflow/inductor/156967 2025-08-14T21:03:59.5703474Z * [new tag] ciflow/inductor/157148 -> ciflow/inductor/157148 2025-08-14T21:03:59.5704158Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-08-14T21:03:59.5704838Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-08-14T21:03:59.5705498Z * [new tag] ciflow/inductor/157542 -> ciflow/inductor/157542 2025-08-14T21:03:59.5706328Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-08-14T21:03:59.5706986Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-08-14T21:03:59.5707667Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-08-14T21:03:59.5708346Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-08-14T21:03:59.5709010Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-08-14T21:03:59.5709731Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-08-14T21:03:59.5710654Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-08-14T21:03:59.5711161Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-08-14T21:03:59.5712140Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-08-14T21:03:59.5712832Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-08-14T21:03:59.5713535Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-08-14T21:03:59.5714216Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-08-14T21:03:59.5714879Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-08-14T21:03:59.5715738Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-08-14T21:03:59.5716411Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-08-14T21:03:59.5717026Z * [new tag] ciflow/inductor/158168 -> ciflow/inductor/158168 2025-08-14T21:03:59.5717791Z * [new tag] ciflow/inductor/158250 -> ciflow/inductor/158250 2025-08-14T21:03:59.5718444Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-08-14T21:03:59.5719104Z * [new tag] ciflow/inductor/158609 -> ciflow/inductor/158609 2025-08-14T21:03:59.5719762Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-08-14T21:03:59.5720437Z * [new tag] ciflow/inductor/158914 -> ciflow/inductor/158914 2025-08-14T21:03:59.5721429Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-08-14T21:03:59.5721939Z * [new tag] ciflow/inductor/158987 -> ciflow/inductor/158987 2025-08-14T21:03:59.5722655Z * [new tag] ciflow/inductor/159009 -> ciflow/inductor/159009 2025-08-14T21:03:59.5723399Z * [new tag] ciflow/inductor/159010 -> ciflow/inductor/159010 2025-08-14T21:03:59.5723994Z * [new tag] ciflow/inductor/159093 -> ciflow/inductor/159093 2025-08-14T21:03:59.5724660Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-08-14T21:03:59.5725299Z * [new tag] ciflow/inductor/159197 -> ciflow/inductor/159197 2025-08-14T21:03:59.5726274Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-08-14T21:03:59.5726795Z * [new tag] ciflow/inductor/159281 -> ciflow/inductor/159281 2025-08-14T21:03:59.5727508Z * [new tag] ciflow/inductor/159329 -> ciflow/inductor/159329 2025-08-14T21:03:59.5728143Z * [new tag] ciflow/inductor/159361 -> ciflow/inductor/159361 2025-08-14T21:03:59.5728813Z * [new tag] ciflow/inductor/159365 -> ciflow/inductor/159365 2025-08-14T21:03:59.5730021Z * [new tag] ciflow/inductor/159366 -> ciflow/inductor/159366 2025-08-14T21:03:59.5730532Z * [new tag] ciflow/inductor/159367 -> ciflow/inductor/159367 2025-08-14T21:03:59.5731240Z * [new tag] ciflow/inductor/159368 -> ciflow/inductor/159368 2025-08-14T21:03:59.5732008Z * [new tag] ciflow/inductor/159473 -> ciflow/inductor/159473 2025-08-14T21:03:59.5732716Z * [new tag] ciflow/inductor/159483 -> ciflow/inductor/159483 2025-08-14T21:03:59.5733349Z * [new tag] ciflow/inductor/159508 -> ciflow/inductor/159508 2025-08-14T21:03:59.5734011Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-08-14T21:03:59.5734688Z * [new tag] ciflow/inductor/159530 -> ciflow/inductor/159530 2025-08-14T21:03:59.5735349Z * [new tag] ciflow/inductor/159678 -> ciflow/inductor/159678 2025-08-14T21:03:59.5736032Z * [new tag] ciflow/inductor/159691 -> ciflow/inductor/159691 2025-08-14T21:03:59.5736939Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-08-14T21:03:59.5737467Z * [new tag] ciflow/inductor/159786 -> ciflow/inductor/159786 2025-08-14T21:03:59.5738418Z * [new tag] ciflow/inductor/159817 -> ciflow/inductor/159817 2025-08-14T21:03:59.5738926Z * [new tag] ciflow/inductor/159842 -> ciflow/inductor/159842 2025-08-14T21:03:59.5739661Z * [new tag] ciflow/inductor/159864 -> ciflow/inductor/159864 2025-08-14T21:03:59.5740345Z * [new tag] ciflow/inductor/159865 -> ciflow/inductor/159865 2025-08-14T21:03:59.5741035Z * [new tag] ciflow/inductor/159869 -> ciflow/inductor/159869 2025-08-14T21:03:59.5741687Z * [new tag] ciflow/inductor/159875 -> ciflow/inductor/159875 2025-08-14T21:03:59.5742351Z * [new tag] ciflow/inductor/159889 -> ciflow/inductor/159889 2025-08-14T21:03:59.5743025Z * [new tag] ciflow/inductor/159902 -> ciflow/inductor/159902 2025-08-14T21:03:59.5744045Z * [new tag] ciflow/inductor/159923 -> ciflow/inductor/159923 2025-08-14T21:03:59.5744777Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-08-14T21:03:59.5745440Z * [new tag] ciflow/inductor/160000 -> ciflow/inductor/160000 2025-08-14T21:03:59.5746228Z * [new tag] ciflow/inductor/160004 -> ciflow/inductor/160004 2025-08-14T21:03:59.5746901Z * [new tag] ciflow/inductor/160080 -> ciflow/inductor/160080 2025-08-14T21:03:59.5747580Z * [new tag] ciflow/inductor/160108 -> ciflow/inductor/160108 2025-08-14T21:03:59.5748262Z * [new tag] ciflow/inductor/160109 -> ciflow/inductor/160109 2025-08-14T21:03:59.5749211Z * [new tag] ciflow/inductor/160111 -> ciflow/inductor/160111 2025-08-14T21:03:59.5749836Z * [new tag] ciflow/inductor/160113 -> ciflow/inductor/160113 2025-08-14T21:03:59.5750506Z * [new tag] ciflow/inductor/160127 -> ciflow/inductor/160127 2025-08-14T21:03:59.5751175Z * [new tag] ciflow/inductor/160131 -> ciflow/inductor/160131 2025-08-14T21:03:59.5751786Z * [new tag] ciflow/inductor/160132 -> ciflow/inductor/160132 2025-08-14T21:03:59.5752528Z * [new tag] ciflow/inductor/160136 -> ciflow/inductor/160136 2025-08-14T21:03:59.5753219Z * [new tag] ciflow/inductor/160138 -> ciflow/inductor/160138 2025-08-14T21:03:59.5753887Z * [new tag] ciflow/inductor/160151 -> ciflow/inductor/160151 2025-08-14T21:03:59.5754574Z * [new tag] ciflow/inductor/160152 -> ciflow/inductor/160152 2025-08-14T21:03:59.5755242Z * [new tag] ciflow/inductor/160154 -> ciflow/inductor/160154 2025-08-14T21:03:59.5755951Z * [new tag] ciflow/inductor/160156 -> ciflow/inductor/160156 2025-08-14T21:03:59.5756729Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-08-14T21:03:59.5757599Z * [new tag] ciflow/inductor/160166 -> ciflow/inductor/160166 2025-08-14T21:03:59.5758190Z * [new tag] ciflow/inductor/160168 -> ciflow/inductor/160168 2025-08-14T21:03:59.5758860Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-08-14T21:03:59.5759527Z * [new tag] ciflow/inductor/160181 -> ciflow/inductor/160181 2025-08-14T21:03:59.5760278Z * [new tag] ciflow/inductor/160183 -> ciflow/inductor/160183 2025-08-14T21:03:59.5761326Z * [new tag] ciflow/inductor/160190 -> ciflow/inductor/160190 2025-08-14T21:03:59.5762246Z * [new tag] ciflow/inductor/160198 -> ciflow/inductor/160198 2025-08-14T21:03:59.5762847Z * [new tag] ciflow/inductor/160201 -> ciflow/inductor/160201 2025-08-14T21:03:59.5763562Z * [new tag] ciflow/inductor/160209 -> ciflow/inductor/160209 2025-08-14T21:03:59.5764561Z * [new tag] ciflow/inductor/160218 -> ciflow/inductor/160218 2025-08-14T21:03:59.5765089Z * [new tag] ciflow/inductor/160239 -> ciflow/inductor/160239 2025-08-14T21:03:59.5765786Z * [new tag] ciflow/inductor/160250 -> ciflow/inductor/160250 2025-08-14T21:03:59.5766488Z * [new tag] ciflow/inductor/160253 -> ciflow/inductor/160253 2025-08-14T21:03:59.5767187Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-08-14T21:03:59.5767851Z * [new tag] ciflow/inductor/160282 -> ciflow/inductor/160282 2025-08-14T21:03:59.5768544Z * [new tag] ciflow/inductor/160298 -> ciflow/inductor/160298 2025-08-14T21:03:59.5769238Z * [new tag] ciflow/inductor/160301 -> ciflow/inductor/160301 2025-08-14T21:03:59.5770002Z * [new tag] ciflow/inductor/160310 -> ciflow/inductor/160310 2025-08-14T21:03:59.5770936Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-08-14T21:03:59.5771851Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-08-14T21:03:59.5772618Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-08-14T21:03:59.5773525Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-08-14T21:03:59.5774268Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-08-14T21:03:59.5774990Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-08-14T21:03:59.5775920Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-08-14T21:03:59.5777247Z * [new tag] ciflow/inductor/160351 -> ciflow/inductor/160351 2025-08-14T21:03:59.5777999Z * [new tag] ciflow/inductor/160353 -> ciflow/inductor/160353 2025-08-14T21:03:59.5778493Z * [new tag] ciflow/inductor/160362 -> ciflow/inductor/160362 2025-08-14T21:03:59.5779160Z * [new tag] ciflow/inductor/160363 -> ciflow/inductor/160363 2025-08-14T21:03:59.5779850Z * [new tag] ciflow/inductor/160364 -> ciflow/inductor/160364 2025-08-14T21:03:59.5780546Z * [new tag] ciflow/inductor/160365 -> ciflow/inductor/160365 2025-08-14T21:03:59.5781236Z * [new tag] ciflow/inductor/160366 -> ciflow/inductor/160366 2025-08-14T21:03:59.5781912Z * [new tag] ciflow/inductor/160367 -> ciflow/inductor/160367 2025-08-14T21:03:59.5782577Z * [new tag] ciflow/inductor/160368 -> ciflow/inductor/160368 2025-08-14T21:03:59.5783227Z * [new tag] ciflow/inductor/160369 -> ciflow/inductor/160369 2025-08-14T21:03:59.5783920Z * [new tag] ciflow/inductor/160371 -> ciflow/inductor/160371 2025-08-14T21:03:59.5784601Z * [new tag] ciflow/inductor/160374 -> ciflow/inductor/160374 2025-08-14T21:03:59.5785366Z * [new tag] ciflow/inductor/160375 -> ciflow/inductor/160375 2025-08-14T21:03:59.5786176Z * [new tag] ciflow/inductor/160377 -> ciflow/inductor/160377 2025-08-14T21:03:59.5786863Z * [new tag] ciflow/inductor/160380 -> ciflow/inductor/160380 2025-08-14T21:03:59.5787856Z * [new tag] ciflow/inductor/160381 -> ciflow/inductor/160381 2025-08-14T21:03:59.5788780Z * [new tag] ciflow/inductor/160383 -> ciflow/inductor/160383 2025-08-14T21:03:59.5789507Z * [new tag] ciflow/inductor/160394 -> ciflow/inductor/160394 2025-08-14T21:03:59.5790181Z * [new tag] ciflow/inductor/160401 -> ciflow/inductor/160401 2025-08-14T21:03:59.5790859Z * [new tag] ciflow/inductor/160402 -> ciflow/inductor/160402 2025-08-14T21:03:59.5791534Z * [new tag] ciflow/inductor/160403 -> ciflow/inductor/160403 2025-08-14T21:03:59.5792190Z * [new tag] ciflow/inductor/160424 -> ciflow/inductor/160424 2025-08-14T21:03:59.5792881Z * [new tag] ciflow/inductor/160426 -> ciflow/inductor/160426 2025-08-14T21:03:59.5793723Z * [new tag] ciflow/inductor/160431 -> ciflow/inductor/160431 2025-08-14T21:03:59.5794396Z * [new tag] ciflow/inductor/160448 -> ciflow/inductor/160448 2025-08-14T21:03:59.5795159Z * [new tag] ciflow/inductor/160450 -> ciflow/inductor/160450 2025-08-14T21:03:59.5795882Z * [new tag] ciflow/inductor/160455 -> ciflow/inductor/160455 2025-08-14T21:03:59.5796905Z * [new tag] ciflow/inductor/160456 -> ciflow/inductor/160456 2025-08-14T21:03:59.5797546Z * [new tag] ciflow/inductor/160461 -> ciflow/inductor/160461 2025-08-14T21:03:59.5798219Z * [new tag] ciflow/inductor/160462 -> ciflow/inductor/160462 2025-08-14T21:03:59.5798879Z * [new tag] ciflow/inductor/160467 -> ciflow/inductor/160467 2025-08-14T21:03:59.5799559Z * [new tag] ciflow/inductor/160470 -> ciflow/inductor/160470 2025-08-14T21:03:59.5800254Z * [new tag] ciflow/inductor/160473 -> ciflow/inductor/160473 2025-08-14T21:03:59.5800919Z * [new tag] ciflow/inductor/160476 -> ciflow/inductor/160476 2025-08-14T21:03:59.5801618Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-08-14T21:03:59.5802365Z * [new tag] ciflow/inductor/160481 -> ciflow/inductor/160481 2025-08-14T21:03:59.5803054Z * [new tag] ciflow/inductor/160482 -> ciflow/inductor/160482 2025-08-14T21:03:59.5803775Z * [new tag] ciflow/inductor/160483 -> ciflow/inductor/160483 2025-08-14T21:03:59.5804425Z * [new tag] ciflow/inductor/160485 -> ciflow/inductor/160485 2025-08-14T21:03:59.5805397Z * [new tag] ciflow/inductor/160486 -> ciflow/inductor/160486 2025-08-14T21:03:59.5805909Z * [new tag] ciflow/inductor/160503 -> ciflow/inductor/160503 2025-08-14T21:03:59.5806661Z * [new tag] ciflow/inductor/160510 -> ciflow/inductor/160510 2025-08-14T21:03:59.5807368Z * [new tag] ciflow/inductor/160527 -> ciflow/inductor/160527 2025-08-14T21:03:59.5808020Z * [new tag] ciflow/inductor/160530 -> ciflow/inductor/160530 2025-08-14T21:03:59.5808797Z * [new tag] ciflow/inductor/160531 -> ciflow/inductor/160531 2025-08-14T21:03:59.5809457Z * [new tag] ciflow/inductor/160538 -> ciflow/inductor/160538 2025-08-14T21:03:59.5810952Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-08-14T21:03:59.5811868Z * [new tag] ciflow/inductor/160540 -> ciflow/inductor/160540 2025-08-14T21:03:59.5812440Z * [new tag] ciflow/inductor/160548 -> ciflow/inductor/160548 2025-08-14T21:03:59.5813141Z * [new tag] ciflow/inductor/160561 -> ciflow/inductor/160561 2025-08-14T21:03:59.5814103Z * [new tag] ciflow/inductor/160576 -> ciflow/inductor/160576 2025-08-14T21:03:59.5814751Z * [new tag] ciflow/inductor/160578 -> ciflow/inductor/160578 2025-08-14T21:03:59.5815373Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-08-14T21:03:59.5816032Z * [new tag] ciflow/inductor/160583 -> ciflow/inductor/160583 2025-08-14T21:03:59.5817012Z * [new tag] ciflow/inductor/160589 -> ciflow/inductor/160589 2025-08-14T21:03:59.5817686Z * [new tag] ciflow/inductor/160590 -> ciflow/inductor/160590 2025-08-14T21:03:59.5818642Z * [new tag] ciflow/inductor/160592 -> ciflow/inductor/160592 2025-08-14T21:03:59.5819203Z * [new tag] ciflow/inductor/160596 -> ciflow/inductor/160596 2025-08-14T21:03:59.5819920Z * [new tag] ciflow/inductor/160601 -> ciflow/inductor/160601 2025-08-14T21:03:59.5820714Z * [new tag] ciflow/inductor/160607 -> ciflow/inductor/160607 2025-08-14T21:03:59.5821638Z * [new tag] ciflow/inductor/160608 -> ciflow/inductor/160608 2025-08-14T21:03:59.5822176Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-08-14T21:03:59.5822894Z * [new tag] ciflow/inductor/160614 -> ciflow/inductor/160614 2025-08-14T21:03:59.5823571Z * [new tag] ciflow/inductor/160616 -> ciflow/inductor/160616 2025-08-14T21:03:59.5824773Z * [new tag] ciflow/inductor/160619 -> ciflow/inductor/160619 2025-08-14T21:03:59.5825311Z * [new tag] ciflow/inductor/160625 -> ciflow/inductor/160625 2025-08-14T21:03:59.5826139Z * [new tag] ciflow/inductor/160635 -> ciflow/inductor/160635 2025-08-14T21:03:59.5827094Z * [new tag] ciflow/inductor/160649 -> ciflow/inductor/160649 2025-08-14T21:03:59.5827639Z * [new tag] ciflow/inductor/160658 -> ciflow/inductor/160658 2025-08-14T21:03:59.5828380Z * [new tag] ciflow/inductor/160662 -> ciflow/inductor/160662 2025-08-14T21:03:59.5829013Z * [new tag] ciflow/inductor/160668 -> ciflow/inductor/160668 2025-08-14T21:03:59.5829705Z * [new tag] ciflow/inductor/160669 -> ciflow/inductor/160669 2025-08-14T21:03:59.5830365Z * [new tag] ciflow/inductor/160670 -> ciflow/inductor/160670 2025-08-14T21:03:59.5831340Z * [new tag] ciflow/inductor/160671 -> ciflow/inductor/160671 2025-08-14T21:03:59.5832098Z * [new tag] ciflow/inductor/160677 -> ciflow/inductor/160677 2025-08-14T21:03:59.5832902Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-08-14T21:03:59.5833983Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-08-14T21:03:59.5834681Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-08-14T21:03:59.5835642Z * [new tag] ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855 2025-08-14T21:03:59.5836147Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-08-14T21:03:59.5836836Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-08-14T21:03:59.5837525Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-08-14T21:03:59.5838139Z * [new tag] ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299 2025-08-14T21:03:59.5838807Z * [new tag] ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301 2025-08-14T21:03:59.5839558Z * [new tag] ciflow/mps/155923 -> ciflow/mps/155923 2025-08-14T21:03:59.5840191Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-08-14T21:03:59.5840829Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-08-14T21:03:59.5841496Z * [new tag] ciflow/mps/160541 -> ciflow/mps/160541 2025-08-14T21:03:59.5842353Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-08-14T21:03:59.5842894Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-08-14T21:03:59.5843843Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-08-14T21:03:59.5844585Z * [new tag] ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971 2025-08-14T21:03:59.5845245Z * [new tag] ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073 2025-08-14T21:03:59.5845963Z * [new tag] ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538 2025-08-14T21:03:59.5846884Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-08-14T21:03:59.5847540Z * [new tag] ciflow/periodic/131296 -> ciflow/periodic/131296 2025-08-14T21:03:59.5848174Z * [new tag] ciflow/periodic/139971 -> ciflow/periodic/139971 2025-08-14T21:03:59.5848777Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-08-14T21:03:59.5849410Z * [new tag] ciflow/periodic/154595 -> ciflow/periodic/154595 2025-08-14T21:03:59.5850017Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-08-14T21:03:59.5850939Z * [new tag] ciflow/periodic/160201 -> ciflow/periodic/160201 2025-08-14T21:03:59.5851657Z * [new tag] ciflow/periodic/160424 -> ciflow/periodic/160424 2025-08-14T21:03:59.5852014Z * [new tag] ciflow/periodic/160538 -> ciflow/periodic/160538 2025-08-14T21:03:59.5853756Z * [new tag] ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:03:59.5854379Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-08-14T21:03:59.5855619Z * [new tag] ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:03:59.5856062Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-08-14T21:03:59.5856815Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-08-14T21:03:59.5857809Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-08-14T21:03:59.5858972Z * [new tag] ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:03:59.5859763Z * [new tag] ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:03:59.5860422Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-08-14T21:03:59.5861512Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-08-14T21:03:59.5862265Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-08-14T21:03:59.5863061Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-08-14T21:03:59.5864414Z * [new tag] ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 2025-08-14T21:03:59.5864905Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-08-14T21:03:59.5865972Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-08-14T21:03:59.5867045Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-08-14T21:03:59.5867825Z * [new tag] ciflow/rocm-mi300/151360 -> ciflow/rocm-mi300/151360 2025-08-14T21:03:59.5868455Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-08-14T21:03:59.5869120Z * [new tag] ciflow/rocm-mi300/160073 -> ciflow/rocm-mi300/160073 2025-08-14T21:03:59.5869854Z * [new tag] ciflow/rocm-mi300/160468 -> ciflow/rocm-mi300/160468 2025-08-14T21:03:59.5870420Z * [new tag] ciflow/rocm-mi300/160538 -> ciflow/rocm-mi300/160538 2025-08-14T21:03:59.5871468Z * [new tag] ciflow/rocm-mi355/160215 -> ciflow/rocm-mi355/160215 2025-08-14T21:03:59.5872178Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-08-14T21:03:59.5872819Z * [new tag] ciflow/rocm/151360 -> ciflow/rocm/151360 2025-08-14T21:03:59.5873351Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-08-14T21:03:59.5874125Z * [new tag] ciflow/rocm/154864 -> ciflow/rocm/154864 2025-08-14T21:03:59.5874814Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-08-14T21:03:59.5875549Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-08-14T21:03:59.5876914Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-08-14T21:03:59.5877535Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-08-14T21:03:59.5878180Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-08-14T21:03:59.5878734Z * [new tag] ciflow/rocm/160215 -> ciflow/rocm/160215 2025-08-14T21:03:59.5879407Z * [new tag] ciflow/rocm/160468 -> ciflow/rocm/160468 2025-08-14T21:03:59.5880409Z * [new tag] ciflow/rocm/160538 -> ciflow/rocm/160538 2025-08-14T21:03:59.5881177Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-08-14T21:03:59.5882198Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-08-14T21:03:59.5882856Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-08-14T21:03:59.5884257Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-08-14T21:03:59.5884442Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-08-14T21:03:59.5885098Z * [new tag] ciflow/slow/154595 -> ciflow/slow/154595 2025-08-14T21:03:59.5886104Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-08-14T21:03:59.5886721Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-08-14T21:03:59.5887484Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-08-14T21:03:59.5888595Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-08-14T21:03:59.5889561Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-08-14T21:03:59.5890425Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-08-14T21:03:59.5891154Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-08-14T21:03:59.5892048Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-08-14T21:03:59.5893291Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-08-14T21:03:59.5893752Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-08-14T21:03:59.5894507Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-08-14T21:03:59.5895848Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-08-14T21:03:59.5896605Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-08-14T21:03:59.5897566Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-08-14T21:03:59.5898834Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-08-14T21:03:59.5899248Z * [new tag] ciflow/trunk/131296 -> ciflow/trunk/131296 2025-08-14T21:03:59.5900007Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-08-14T21:03:59.5900764Z * [new tag] ciflow/trunk/138996 -> ciflow/trunk/138996 2025-08-14T21:03:59.5901309Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-08-14T21:03:59.5901924Z * [new tag] ciflow/trunk/147360 -> ciflow/trunk/147360 2025-08-14T21:03:59.5902529Z * [new tag] ciflow/trunk/147855 -> ciflow/trunk/147855 2025-08-14T21:03:59.5903242Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-08-14T21:03:59.5903863Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-08-14T21:03:59.5904425Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-08-14T21:03:59.5905368Z * [new tag] ciflow/trunk/150282 -> ciflow/trunk/150282 2025-08-14T21:03:59.5905963Z * [new tag] ciflow/trunk/150302 -> ciflow/trunk/150302 2025-08-14T21:03:59.5907094Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-08-14T21:03:59.5908039Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-08-14T21:03:59.5908813Z * [new tag] ciflow/trunk/154193 -> ciflow/trunk/154193 2025-08-14T21:03:59.5909520Z * [new tag] ciflow/trunk/154595 -> ciflow/trunk/154595 2025-08-14T21:03:59.5910748Z * [new tag] ciflow/trunk/154650 -> ciflow/trunk/154650 2025-08-14T21:03:59.5911420Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-08-14T21:03:59.5912062Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-08-14T21:03:59.5912759Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-08-14T21:03:59.5913372Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-08-14T21:03:59.5914066Z * [new tag] ciflow/trunk/156851 -> ciflow/trunk/156851 2025-08-14T21:03:59.5914850Z * [new tag] ciflow/trunk/157148 -> ciflow/trunk/157148 2025-08-14T21:03:59.5915457Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-08-14T21:03:59.5916102Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-08-14T21:03:59.5916752Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-08-14T21:03:59.5917410Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-08-14T21:03:59.5918095Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-08-14T21:03:59.5918744Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-08-14T21:03:59.5919457Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-08-14T21:03:59.5920110Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-08-14T21:03:59.5920812Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-08-14T21:03:59.5921448Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-08-14T21:03:59.5922143Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-08-14T21:03:59.5923137Z * [new tag] ciflow/trunk/158529 -> ciflow/trunk/158529 2025-08-14T21:03:59.5923779Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-08-14T21:03:59.5924368Z * [new tag] ciflow/trunk/158810 -> ciflow/trunk/158810 2025-08-14T21:03:59.5925064Z * [new tag] ciflow/trunk/158812 -> ciflow/trunk/158812 2025-08-14T21:03:59.5925737Z * [new tag] ciflow/trunk/158863 -> ciflow/trunk/158863 2025-08-14T21:03:59.5926415Z * [new tag] ciflow/trunk/158864 -> ciflow/trunk/158864 2025-08-14T21:03:59.5927086Z * [new tag] ciflow/trunk/158883 -> ciflow/trunk/158883 2025-08-14T21:03:59.5927825Z * [new tag] ciflow/trunk/158914 -> ciflow/trunk/158914 2025-08-14T21:03:59.5928489Z * [new tag] ciflow/trunk/158965 -> ciflow/trunk/158965 2025-08-14T21:03:59.5929137Z * [new tag] ciflow/trunk/158987 -> ciflow/trunk/158987 2025-08-14T21:03:59.5929951Z * [new tag] ciflow/trunk/159033 -> ciflow/trunk/159033 2025-08-14T21:03:59.5930737Z * [new tag] ciflow/trunk/159140 -> ciflow/trunk/159140 2025-08-14T21:03:59.5931386Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-08-14T21:03:59.5932094Z * [new tag] ciflow/trunk/159530 -> ciflow/trunk/159530 2025-08-14T21:03:59.5932734Z * [new tag] ciflow/trunk/159553 -> ciflow/trunk/159553 2025-08-14T21:03:59.5933436Z * [new tag] ciflow/trunk/159562 -> ciflow/trunk/159562 2025-08-14T21:03:59.5934217Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-08-14T21:03:59.5934897Z * [new tag] ciflow/trunk/159691 -> ciflow/trunk/159691 2025-08-14T21:03:59.5935588Z * [new tag] ciflow/trunk/159842 -> ciflow/trunk/159842 2025-08-14T21:03:59.5936252Z * [new tag] ciflow/trunk/159889 -> ciflow/trunk/159889 2025-08-14T21:03:59.5936936Z * [new tag] ciflow/trunk/159923 -> ciflow/trunk/159923 2025-08-14T21:03:59.5937597Z * [new tag] ciflow/trunk/160000 -> ciflow/trunk/160000 2025-08-14T21:03:59.5938643Z * [new tag] ciflow/trunk/160004 -> ciflow/trunk/160004 2025-08-14T21:03:59.5939253Z * [new tag] ciflow/trunk/160113 -> ciflow/trunk/160113 2025-08-14T21:03:59.5939900Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-08-14T21:03:59.5940558Z * [new tag] ciflow/trunk/160168 -> ciflow/trunk/160168 2025-08-14T21:03:59.5941354Z * [new tag] ciflow/trunk/160181 -> ciflow/trunk/160181 2025-08-14T21:03:59.5941978Z * [new tag] ciflow/trunk/160183 -> ciflow/trunk/160183 2025-08-14T21:03:59.5942652Z * [new tag] ciflow/trunk/160190 -> ciflow/trunk/160190 2025-08-14T21:03:59.5943332Z * [new tag] ciflow/trunk/160198 -> ciflow/trunk/160198 2025-08-14T21:03:59.5943989Z * [new tag] ciflow/trunk/160205 -> ciflow/trunk/160205 2025-08-14T21:03:59.5944810Z * [new tag] ciflow/trunk/160219 -> ciflow/trunk/160219 2025-08-14T21:03:59.5945545Z * [new tag] ciflow/trunk/160224 -> ciflow/trunk/160224 2025-08-14T21:03:59.5946345Z * [new tag] ciflow/trunk/160250 -> ciflow/trunk/160250 2025-08-14T21:03:59.5947029Z * [new tag] ciflow/trunk/160253 -> ciflow/trunk/160253 2025-08-14T21:03:59.5947815Z * [new tag] ciflow/trunk/160335 -> ciflow/trunk/160335 2025-08-14T21:03:59.5948641Z * [new tag] ciflow/trunk/160338 -> ciflow/trunk/160338 2025-08-14T21:03:59.5949324Z * [new tag] ciflow/trunk/160383 -> ciflow/trunk/160383 2025-08-14T21:03:59.5950006Z * [new tag] ciflow/trunk/160401 -> ciflow/trunk/160401 2025-08-14T21:03:59.5950699Z * [new tag] ciflow/trunk/160403 -> ciflow/trunk/160403 2025-08-14T21:03:59.5951417Z * [new tag] ciflow/trunk/160430 -> ciflow/trunk/160430 2025-08-14T21:03:59.5952077Z * [new tag] ciflow/trunk/160431 -> ciflow/trunk/160431 2025-08-14T21:03:59.5952902Z * [new tag] ciflow/trunk/160439 -> ciflow/trunk/160439 2025-08-14T21:03:59.5953587Z * [new tag] ciflow/trunk/160449 -> ciflow/trunk/160449 2025-08-14T21:03:59.5954569Z * [new tag] ciflow/trunk/160454 -> ciflow/trunk/160454 2025-08-14T21:03:59.5955186Z * [new tag] ciflow/trunk/160468 -> ciflow/trunk/160468 2025-08-14T21:03:59.5956288Z * [new tag] ciflow/trunk/160481 -> ciflow/trunk/160481 2025-08-14T21:03:59.5956829Z * [new tag] ciflow/trunk/160485 -> ciflow/trunk/160485 2025-08-14T21:03:59.5957853Z * [new tag] ciflow/trunk/160519 -> ciflow/trunk/160519 2025-08-14T21:03:59.5958314Z * [new tag] ciflow/trunk/160527 -> ciflow/trunk/160527 2025-08-14T21:03:59.5959345Z * [new tag] ciflow/trunk/160560 -> ciflow/trunk/160560 2025-08-14T21:03:59.5959868Z * [new tag] ciflow/trunk/160578 -> ciflow/trunk/160578 2025-08-14T21:03:59.5960576Z * [new tag] ciflow/trunk/160589 -> ciflow/trunk/160589 2025-08-14T21:03:59.5961245Z * [new tag] ciflow/trunk/160592 -> ciflow/trunk/160592 2025-08-14T21:03:59.5961946Z * [new tag] ciflow/trunk/160649 -> ciflow/trunk/160649 2025-08-14T21:03:59.5962690Z * [new tag] ciflow/trunk/160656 -> ciflow/trunk/160656 2025-08-14T21:03:59.5963775Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-08-14T21:03:59.5964459Z * [new tag] ciflow/vllm/160116 -> ciflow/vllm/160116 2025-08-14T21:03:59.5965121Z * [new tag] ciflow/vllm/160583 -> ciflow/vllm/160583 2025-08-14T21:03:59.5965707Z * [new tag] ciflow/vllm/160619 -> ciflow/vllm/160619 2025-08-14T21:03:59.5966371Z * [new tag] ciflow/vllm/160625 -> ciflow/vllm/160625 2025-08-14T21:03:59.5966989Z * [new tag] ciflow/vllm/160627 -> ciflow/vllm/160627 2025-08-14T21:03:59.5968009Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-08-14T21:03:59.5968589Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-08-14T21:03:59.5969182Z * [new tag] ciflow/win-arm64/159553 -> ciflow/win-arm64/159553 2025-08-14T21:03:59.5969776Z * [new tag] ciflow/win-arm64/159562 -> ciflow/win-arm64/159562 2025-08-14T21:03:59.5970685Z * [new tag] ciflow/win-arm64/159777 -> ciflow/win-arm64/159777 2025-08-14T21:03:59.5971217Z * [new tag] ciflow/win-arm64/159780 -> ciflow/win-arm64/159780 2025-08-14T21:03:59.5971862Z * [new tag] ciflow/win-arm64/159842 -> ciflow/win-arm64/159842 2025-08-14T21:03:59.5972458Z * [new tag] ciflow/win-arm64/160250 -> ciflow/win-arm64/160250 2025-08-14T21:03:59.5973069Z * [new tag] ciflow/win-arm64/160253 -> ciflow/win-arm64/160253 2025-08-14T21:03:59.5973683Z * [new tag] ciflow/win-arm64/160454 -> ciflow/win-arm64/160454 2025-08-14T21:03:59.5974351Z * [new tag] ciflow/win-arm64/160560 -> ciflow/win-arm64/160560 2025-08-14T21:03:59.5975089Z * [new tag] ciflow/xpu/138996 -> ciflow/xpu/138996 2025-08-14T21:03:59.5975704Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-08-14T21:03:59.5976783Z * [new tag] ciflow/xpu/140972 -> ciflow/xpu/140972 2025-08-14T21:03:59.5977414Z * [new tag] ciflow/xpu/143553 -> ciflow/xpu/143553 2025-08-14T21:03:59.5978122Z * [new tag] ciflow/xpu/156272 -> ciflow/xpu/156272 2025-08-14T21:03:59.5978743Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-08-14T21:03:59.5979413Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-08-14T21:03:59.5980108Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-08-14T21:03:59.5980728Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-08-14T21:03:59.5981288Z * [new tag] ciflow/xpu/158733 -> ciflow/xpu/158733 2025-08-14T21:03:59.5981957Z * [new tag] ciflow/xpu/159033 -> ciflow/xpu/159033 2025-08-14T21:03:59.5982917Z * [new tag] ciflow/xpu/159118 -> ciflow/xpu/159118 2025-08-14T21:03:59.5983730Z * [new tag] ciflow/xpu/159140 -> ciflow/xpu/159140 2025-08-14T21:03:59.5984709Z * [new tag] ciflow/xpu/159241 -> ciflow/xpu/159241 2025-08-14T21:03:59.5985350Z * [new tag] ciflow/xpu/159473 -> ciflow/xpu/159473 2025-08-14T21:03:59.5986404Z * [new tag] ciflow/xpu/159474 -> ciflow/xpu/159474 2025-08-14T21:03:59.5986995Z * [new tag] ciflow/xpu/159553 -> ciflow/xpu/159553 2025-08-14T21:03:59.5987595Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-08-14T21:03:59.5988516Z * [new tag] ciflow/xpu/160062 -> ciflow/xpu/160062 2025-08-14T21:03:59.5989189Z * [new tag] ciflow/xpu/160067 -> ciflow/xpu/160067 2025-08-14T21:03:59.5989956Z * [new tag] ciflow/xpu/160158 -> ciflow/xpu/160158 2025-08-14T21:03:59.5990651Z * [new tag] ciflow/xpu/160173 -> ciflow/xpu/160173 2025-08-14T21:03:59.5991350Z * [new tag] ciflow/xpu/160183 -> ciflow/xpu/160183 2025-08-14T21:03:59.5992035Z * [new tag] ciflow/xpu/160301 -> ciflow/xpu/160301 2025-08-14T21:03:59.5992674Z * [new tag] ciflow/xpu/160403 -> ciflow/xpu/160403 2025-08-14T21:03:59.5993461Z * [new tag] ciflow/xpu/160606 -> ciflow/xpu/160606 2025-08-14T21:03:59.5994275Z * [new tag] cslpull75 -> cslpull75 2025-08-14T21:03:59.5995095Z * [new tag] cslpull76 -> cslpull76 2025-08-14T21:03:59.5997760Z * [new tag] cslpull77 -> cslpull77 2025-08-14T21:03:59.5997923Z * [new tag] cslpull78 -> cslpull78 2025-08-14T21:03:59.5998077Z * [new tag] cslpull79 -> cslpull79 2025-08-14T21:03:59.5998688Z * [new tag] cslpull80 -> cslpull80 2025-08-14T21:03:59.5999244Z * [new tag] cslpull81 -> cslpull81 2025-08-14T21:03:59.5999853Z * [new tag] cslpull82 -> cslpull82 2025-08-14T21:03:59.6000742Z * [new tag] cslpull83 -> cslpull83 2025-08-14T21:03:59.6001447Z * [new tag] cslpull84 -> cslpull84 2025-08-14T21:03:59.6002319Z * [new tag] cslpull85 -> cslpull85 2025-08-14T21:03:59.6002999Z * [new tag] cslpull86 -> cslpull86 2025-08-14T21:03:59.6003882Z * [new tag] cslpull87 -> cslpull87 2025-08-14T21:03:59.6004711Z * [new tag] cslpull88 -> cslpull88 2025-08-14T21:03:59.6005421Z * [new tag] cslpull89 -> cslpull89 2025-08-14T21:03:59.6006013Z * [new tag] cslpull90 -> cslpull90 2025-08-14T21:03:59.6007237Z * [new tag] cslpull91 -> cslpull91 2025-08-14T21:03:59.6007905Z * [new tag] cslpull92 -> cslpull92 2025-08-14T21:03:59.6008858Z * [new tag] flight_5 -> flight_5 2025-08-14T21:03:59.6009723Z * [new tag] flight_5.1 -> flight_5.1 2025-08-14T21:03:59.6010552Z * [new tag] flight_5.2 -> flight_5.2 2025-08-14T21:03:59.6011220Z * [new tag] flight_5.3 -> flight_5.3 2025-08-14T21:03:59.6012038Z * [new tag] forpull1 -> forpull1 2025-08-14T21:03:59.6013066Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-08-14T21:03:59.6013817Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-08-14T21:03:59.6014714Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-08-14T21:03:59.6015476Z * [new tag] nightly-binary -> nightly-binary 2025-08-14T21:03:59.6016263Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-08-14T21:03:59.6017007Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-08-14T21:03:59.6018231Z * [new tag] trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 2025-08-14T21:03:59.6018910Z * [new tag] trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 2025-08-14T21:03:59.6019966Z * [new tag] trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d 2025-08-14T21:03:59.6020865Z * [new tag] trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a 2025-08-14T21:03:59.6021611Z * [new tag] trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e 2025-08-14T21:03:59.6022823Z * [new tag] trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb 2025-08-14T21:03:59.6023557Z * [new tag] trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869 2025-08-14T21:03:59.6024401Z * [new tag] trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206 2025-08-14T21:03:59.6025215Z * [new tag] trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126 2025-08-14T21:03:59.6026049Z * [new tag] trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 2025-08-14T21:03:59.6026939Z * [new tag] trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 2025-08-14T21:03:59.6027745Z * [new tag] trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 2025-08-14T21:03:59.6028536Z * [new tag] trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde 2025-08-14T21:03:59.6029393Z * [new tag] trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 2025-08-14T21:03:59.6030151Z * [new tag] trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 2025-08-14T21:03:59.6031018Z * [new tag] trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 2025-08-14T21:03:59.6031809Z * [new tag] trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b 2025-08-14T21:03:59.6032560Z * [new tag] trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 2025-08-14T21:03:59.6033328Z * [new tag] trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca 2025-08-14T21:03:59.6034284Z * [new tag] trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 2025-08-14T21:03:59.6035066Z * [new tag] trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 2025-08-14T21:03:59.6035872Z * [new tag] trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e 2025-08-14T21:03:59.6036654Z * [new tag] trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b 2025-08-14T21:03:59.6037478Z * [new tag] trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 2025-08-14T21:03:59.6038328Z * [new tag] trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e 2025-08-14T21:03:59.6039139Z * [new tag] trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 2025-08-14T21:03:59.6039961Z * [new tag] trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 2025-08-14T21:03:59.6040781Z * [new tag] trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 2025-08-14T21:03:59.6041633Z * [new tag] trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848 2025-08-14T21:03:59.6042465Z * [new tag] trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca 2025-08-14T21:03:59.6043219Z * [new tag] trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019 2025-08-14T21:03:59.6044037Z * [new tag] trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe 2025-08-14T21:03:59.6044857Z * [new tag] trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf 2025-08-14T21:03:59.6045664Z * [new tag] trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca 2025-08-14T21:03:59.6046541Z * [new tag] trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 2025-08-14T21:03:59.6047419Z * [new tag] trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a 2025-08-14T21:03:59.6048098Z * [new tag] trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 2025-08-14T21:03:59.6049288Z * [new tag] trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8 2025-08-14T21:03:59.6049967Z * [new tag] trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c 2025-08-14T21:03:59.6050836Z * [new tag] trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 2025-08-14T21:03:59.6051610Z * [new tag] trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 2025-08-14T21:03:59.6052381Z * [new tag] trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc 2025-08-14T21:03:59.6053346Z * [new tag] trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad 2025-08-14T21:03:59.6054109Z * [new tag] trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:03:59.6054795Z * [new tag] trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 2025-08-14T21:03:59.6055569Z * [new tag] trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673 2025-08-14T21:03:59.6056475Z * [new tag] trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb 2025-08-14T21:03:59.6057265Z * [new tag] trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641 2025-08-14T21:03:59.6058007Z * [new tag] trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 2025-08-14T21:03:59.6058559Z * [new tag] trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d 2025-08-14T21:03:59.6059310Z * [new tag] trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee 2025-08-14T21:03:59.6060000Z * [new tag] trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c 2025-08-14T21:03:59.6061402Z * [new tag] trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd 2025-08-14T21:03:59.6062123Z * [new tag] trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 2025-08-14T21:03:59.6062911Z * [new tag] trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 2025-08-14T21:03:59.6063694Z * [new tag] trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 2025-08-14T21:03:59.6064462Z * [new tag] trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c 2025-08-14T21:03:59.6065320Z * [new tag] trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 2025-08-14T21:03:59.6066212Z * [new tag] trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad 2025-08-14T21:03:59.6067043Z * [new tag] trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 2025-08-14T21:03:59.6067862Z * [new tag] trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 2025-08-14T21:03:59.6068561Z * [new tag] trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b 2025-08-14T21:03:59.6069410Z * [new tag] trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 2025-08-14T21:03:59.6070080Z * [new tag] trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 2025-08-14T21:03:59.6070862Z * [new tag] trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 2025-08-14T21:03:59.6071641Z * [new tag] trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 2025-08-14T21:03:59.6072893Z * [new tag] trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 2025-08-14T21:03:59.6073625Z * [new tag] trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 2025-08-14T21:03:59.6074399Z * [new tag] trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669 2025-08-14T21:03:59.6075751Z * [new tag] trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 2025-08-14T21:03:59.6076419Z * [new tag] trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 2025-08-14T21:03:59.6077433Z * [new tag] trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 2025-08-14T21:03:59.6078181Z * [new tag] trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0 2025-08-14T21:03:59.6079083Z * [new tag] trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb 2025-08-14T21:03:59.6079869Z * [new tag] trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 2025-08-14T21:03:59.6080673Z * [new tag] trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816 2025-08-14T21:03:59.6085565Z * [new tag] trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 2025-08-14T21:03:59.6086296Z * [new tag] trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7 2025-08-14T21:03:59.6087211Z * [new tag] trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 2025-08-14T21:03:59.6088140Z * [new tag] trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa 2025-08-14T21:03:59.6088856Z * [new tag] trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae 2025-08-14T21:03:59.6089676Z * [new tag] trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 2025-08-14T21:03:59.6090523Z * [new tag] trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 2025-08-14T21:03:59.6091324Z * [new tag] trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f 2025-08-14T21:03:59.6092135Z * [new tag] trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 2025-08-14T21:03:59.6092909Z * [new tag] trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820 2025-08-14T21:03:59.6093705Z * [new tag] trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881 2025-08-14T21:03:59.6094588Z * [new tag] trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 2025-08-14T21:03:59.6095516Z * [new tag] trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 2025-08-14T21:03:59.6096268Z * [new tag] trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 2025-08-14T21:03:59.6097161Z * [new tag] trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d 2025-08-14T21:03:59.6097957Z * [new tag] trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f 2025-08-14T21:03:59.6098758Z * [new tag] trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 2025-08-14T21:03:59.6099582Z * [new tag] trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b 2025-08-14T21:03:59.6100250Z * [new tag] trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee 2025-08-14T21:03:59.6101029Z * [new tag] trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 2025-08-14T21:03:59.6101883Z * [new tag] trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d 2025-08-14T21:03:59.6102718Z * [new tag] trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf 2025-08-14T21:03:59.6103556Z * [new tag] trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 2025-08-14T21:03:59.6104399Z * [new tag] trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc 2025-08-14T21:03:59.6105303Z * [new tag] trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 2025-08-14T21:03:59.6106191Z * [new tag] trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d 2025-08-14T21:03:59.6107135Z * [new tag] trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa 2025-08-14T21:03:59.6107946Z * [new tag] trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f 2025-08-14T21:03:59.6108645Z * [new tag] trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce 2025-08-14T21:03:59.6109494Z * [new tag] trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 2025-08-14T21:03:59.6110290Z * [new tag] trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 2025-08-14T21:03:59.6111135Z * [new tag] trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99 2025-08-14T21:03:59.6111908Z * [new tag] trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad 2025-08-14T21:03:59.6112738Z * [new tag] trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d 2025-08-14T21:03:59.6113533Z * [new tag] trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 2025-08-14T21:03:59.6114433Z * [new tag] trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 2025-08-14T21:03:59.6115226Z * [new tag] trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add 2025-08-14T21:03:59.6116043Z * [new tag] trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f 2025-08-14T21:03:59.6116860Z * [new tag] trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf 2025-08-14T21:03:59.6117871Z * [new tag] trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a 2025-08-14T21:03:59.6118482Z * [new tag] trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93 2025-08-14T21:03:59.6119355Z * [new tag] trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca 2025-08-14T21:03:59.6120219Z * [new tag] trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc 2025-08-14T21:03:59.6120983Z * [new tag] trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 2025-08-14T21:03:59.6121782Z * [new tag] trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a 2025-08-14T21:03:59.6122605Z * [new tag] trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 2025-08-14T21:03:59.6123587Z * [new tag] trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 2025-08-14T21:03:59.6124367Z * [new tag] trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 2025-08-14T21:03:59.6125048Z * [new tag] trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c 2025-08-14T21:03:59.6125926Z * [new tag] trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f 2025-08-14T21:03:59.6126909Z * [new tag] trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 2025-08-14T21:03:59.6127794Z * [new tag] trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 2025-08-14T21:03:59.6128669Z * [new tag] trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 2025-08-14T21:03:59.6129544Z * [new tag] trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 2025-08-14T21:03:59.6130399Z * [new tag] trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 2025-08-14T21:03:59.6131251Z * [new tag] trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38 2025-08-14T21:03:59.6132054Z * [new tag] trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935 2025-08-14T21:03:59.6133340Z * [new tag] trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 2025-08-14T21:03:59.6134117Z * [new tag] trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d 2025-08-14T21:03:59.6134936Z * [new tag] trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 2025-08-14T21:03:59.6135801Z * [new tag] trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 2025-08-14T21:03:59.6136594Z * [new tag] trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 2025-08-14T21:03:59.6137364Z * [new tag] trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 2025-08-14T21:03:59.6138204Z * [new tag] trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 2025-08-14T21:03:59.6139045Z * [new tag] trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 2025-08-14T21:03:59.6140038Z * [new tag] trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef 2025-08-14T21:03:59.6140943Z * [new tag] trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac 2025-08-14T21:03:59.6141709Z * [new tag] trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b 2025-08-14T21:03:59.6142852Z * [new tag] trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020 2025-08-14T21:03:59.6143630Z * [new tag] trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 2025-08-14T21:03:59.6144420Z * [new tag] trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d 2025-08-14T21:03:59.6145328Z * [new tag] trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 2025-08-14T21:03:59.6146198Z * [new tag] trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 2025-08-14T21:03:59.6147086Z * [new tag] trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff 2025-08-14T21:03:59.6147890Z * [new tag] trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892 2025-08-14T21:03:59.6148760Z * [new tag] trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 2025-08-14T21:03:59.6149551Z * [new tag] trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 2025-08-14T21:03:59.6150479Z * [new tag] trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f 2025-08-14T21:03:59.6151439Z * [new tag] trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84 2025-08-14T21:03:59.6152162Z * [new tag] trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a 2025-08-14T21:03:59.6153012Z * [new tag] trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 2025-08-14T21:03:59.6153844Z * [new tag] trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa 2025-08-14T21:03:59.6154566Z * [new tag] trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 2025-08-14T21:03:59.6155381Z * [new tag] trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d 2025-08-14T21:03:59.6156205Z * [new tag] trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 2025-08-14T21:03:59.6156998Z * [new tag] trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 2025-08-14T21:03:59.6157845Z * [new tag] trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 2025-08-14T21:03:59.6158707Z * [new tag] trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d 2025-08-14T21:03:59.6159467Z * [new tag] trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 2025-08-14T21:03:59.6160297Z * [new tag] trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 2025-08-14T21:03:59.6161074Z * [new tag] trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75 2025-08-14T21:03:59.6161986Z * [new tag] trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e 2025-08-14T21:03:59.6162761Z * [new tag] trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3 2025-08-14T21:03:59.6163584Z * [new tag] trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be 2025-08-14T21:03:59.6164319Z * [new tag] trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 2025-08-14T21:03:59.6165512Z * [new tag] trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7 2025-08-14T21:03:59.6166124Z * [new tag] trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05 2025-08-14T21:03:59.6167067Z * [new tag] trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106 2025-08-14T21:03:59.6167944Z * [new tag] trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 2025-08-14T21:03:59.6168786Z * [new tag] trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 2025-08-14T21:03:59.6169728Z * [new tag] trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd 2025-08-14T21:03:59.6170443Z * [new tag] trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd 2025-08-14T21:03:59.6171269Z * [new tag] trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 2025-08-14T21:03:59.6172159Z * [new tag] trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 2025-08-14T21:03:59.6173383Z * [new tag] trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df 2025-08-14T21:03:59.6174155Z * [new tag] trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc 2025-08-14T21:03:59.6174998Z * [new tag] trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed 2025-08-14T21:03:59.6175762Z * [new tag] trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 2025-08-14T21:03:59.6180450Z * [new tag] trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 2025-08-14T21:03:59.6181566Z * [new tag] trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 2025-08-14T21:03:59.6182419Z * [new tag] trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 2025-08-14T21:03:59.6183253Z * [new tag] trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c 2025-08-14T21:03:59.6184398Z * [new tag] trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 2025-08-14T21:03:59.6185119Z * [new tag] trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b 2025-08-14T21:03:59.6186018Z * [new tag] trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae 2025-08-14T21:03:59.6186884Z * [new tag] trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861 2025-08-14T21:03:59.6188040Z * [new tag] trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b 2025-08-14T21:03:59.6188758Z * [new tag] trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 2025-08-14T21:03:59.6190198Z * [new tag] trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 2025-08-14T21:03:59.6190891Z * [new tag] trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0 2025-08-14T21:03:59.6191716Z * [new tag] trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615 2025-08-14T21:03:59.6193109Z * [new tag] trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c 2025-08-14T21:03:59.6193929Z * [new tag] trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 2025-08-14T21:03:59.6194806Z * [new tag] trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 2025-08-14T21:03:59.6195660Z * [new tag] trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b 2025-08-14T21:03:59.6196548Z * [new tag] trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc 2025-08-14T21:03:59.6197462Z * [new tag] trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 2025-08-14T21:03:59.6198295Z * [new tag] trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a 2025-08-14T21:03:59.6199150Z * [new tag] trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 2025-08-14T21:03:59.6199998Z * [new tag] trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf 2025-08-14T21:03:59.6201155Z * [new tag] trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 2025-08-14T21:03:59.6201892Z * [new tag] trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 2025-08-14T21:03:59.6202733Z * [new tag] trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5 2025-08-14T21:03:59.6203572Z * [new tag] trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3 2025-08-14T21:03:59.6205159Z * [new tag] trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 2025-08-14T21:03:59.6205879Z * [new tag] trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 2025-08-14T21:03:59.6206788Z * [new tag] trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 2025-08-14T21:03:59.6207632Z * [new tag] trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee 2025-08-14T21:03:59.6208469Z * [new tag] trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff 2025-08-14T21:03:59.6209318Z * [new tag] trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 2025-08-14T21:03:59.6210408Z * [new tag] trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd 2025-08-14T21:03:59.6211167Z * [new tag] trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca 2025-08-14T21:03:59.6212277Z * [new tag] trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 2025-08-14T21:03:59.6213022Z * [new tag] trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 2025-08-14T21:03:59.6213971Z * [new tag] trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 2025-08-14T21:03:59.6214806Z * [new tag] trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685 2025-08-14T21:03:59.6215637Z * [new tag] trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2 2025-08-14T21:03:59.6216513Z * [new tag] trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e 2025-08-14T21:03:59.6217256Z * [new tag] trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 2025-08-14T21:03:59.6218425Z * [new tag] trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 2025-08-14T21:03:59.6219238Z * [new tag] trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36 2025-08-14T21:03:59.6220097Z * [new tag] trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 2025-08-14T21:03:59.6221160Z * [new tag] trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 2025-08-14T21:03:59.6221962Z * [new tag] trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff 2025-08-14T21:03:59.6222831Z * [new tag] trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31 2025-08-14T21:03:59.6223714Z * [new tag] trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc 2025-08-14T21:03:59.6224633Z * [new tag] trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf 2025-08-14T21:03:59.6225477Z * [new tag] trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 2025-08-14T21:03:59.6226832Z * [new tag] trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 2025-08-14T21:03:59.6227643Z * [new tag] trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 2025-08-14T21:03:59.6228477Z * [new tag] trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 2025-08-14T21:03:59.6229339Z * [new tag] trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c 2025-08-14T21:03:59.6230200Z * [new tag] trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24 2025-08-14T21:03:59.6231327Z * [new tag] trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 2025-08-14T21:03:59.6232084Z * [new tag] trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f 2025-08-14T21:03:59.6232999Z * [new tag] trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7 2025-08-14T21:03:59.6234091Z * [new tag] trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a 2025-08-14T21:03:59.6234847Z * [new tag] trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0 2025-08-14T21:03:59.6236043Z * [new tag] trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff 2025-08-14T21:03:59.6236827Z * [new tag] trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c 2025-08-14T21:03:59.6237562Z * [new tag] trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd 2025-08-14T21:03:59.6238376Z * [new tag] trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 2025-08-14T21:03:59.6239199Z * [new tag] trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 2025-08-14T21:03:59.6240056Z * [new tag] trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad 2025-08-14T21:03:59.6241227Z * [new tag] trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f 2025-08-14T21:03:59.6242005Z * [new tag] trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd 2025-08-14T21:03:59.6242829Z * [new tag] trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 2025-08-14T21:03:59.6243709Z * [new tag] trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d 2025-08-14T21:03:59.6244529Z * [new tag] trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 2025-08-14T21:03:59.6245382Z * [new tag] trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df 2025-08-14T21:03:59.6246341Z * [new tag] trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98 2025-08-14T21:03:59.6247258Z * [new tag] trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 2025-08-14T21:03:59.6248148Z * [new tag] trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 2025-08-14T21:03:59.6248930Z * [new tag] trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f 2025-08-14T21:03:59.6249780Z * [new tag] trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 2025-08-14T21:03:59.6251173Z * [new tag] trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 2025-08-14T21:03:59.6251991Z * [new tag] trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a 2025-08-14T21:03:59.6252854Z * [new tag] trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c 2025-08-14T21:03:59.6253593Z * [new tag] trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 2025-08-14T21:03:59.6254440Z * [new tag] trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17 2025-08-14T21:03:59.6255206Z * [new tag] trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b 2025-08-14T21:03:59.6256118Z * [new tag] trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb 2025-08-14T21:03:59.6256843Z * [new tag] trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 2025-08-14T21:03:59.6257690Z * [new tag] trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e 2025-08-14T21:03:59.6258891Z * [new tag] trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c 2025-08-14T21:03:59.6259668Z * [new tag] trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c 2025-08-14T21:03:59.6260621Z * [new tag] trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 2025-08-14T21:03:59.6261517Z * [new tag] trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 2025-08-14T21:03:59.6262371Z * [new tag] trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 2025-08-14T21:03:59.6263252Z * [new tag] trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 2025-08-14T21:03:59.6264143Z * [new tag] trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 2025-08-14T21:03:59.6264968Z * [new tag] trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc 2025-08-14T21:03:59.6265907Z * [new tag] trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe 2025-08-14T21:03:59.6266824Z * [new tag] trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 2025-08-14T21:03:59.6267685Z * [new tag] trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c 2025-08-14T21:03:59.6268517Z * [new tag] trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 2025-08-14T21:03:59.6269596Z * [new tag] trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 2025-08-14T21:03:59.6270412Z * [new tag] trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 2025-08-14T21:03:59.6271282Z * [new tag] trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb 2025-08-14T21:03:59.6272158Z * [new tag] trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d 2025-08-14T21:03:59.6273011Z * [new tag] trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b 2025-08-14T21:03:59.6274751Z * [new tag] trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf 2025-08-14T21:03:59.6275550Z * [new tag] trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb 2025-08-14T21:03:59.6276626Z * [new tag] trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb 2025-08-14T21:03:59.6277518Z * [new tag] trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 2025-08-14T21:03:59.6278373Z * [new tag] trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab 2025-08-14T21:03:59.6279087Z * [new tag] trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393 2025-08-14T21:03:59.6279707Z * [new tag] v0.1.1 -> v0.1.1 2025-08-14T21:03:59.6280529Z * [new tag] v0.1.10 -> v0.1.10 2025-08-14T21:03:59.6281194Z * [new tag] v0.1.11 -> v0.1.11 2025-08-14T21:03:59.6282111Z * [new tag] v0.1.12 -> v0.1.12 2025-08-14T21:03:59.6282706Z * [new tag] v0.1.2 -> v0.1.2 2025-08-14T21:03:59.6283526Z * [new tag] v0.1.3 -> v0.1.3 2025-08-14T21:03:59.6284207Z * [new tag] v0.1.4 -> v0.1.4 2025-08-14T21:03:59.6285043Z * [new tag] v0.1.5 -> v0.1.5 2025-08-14T21:03:59.6285696Z * [new tag] v0.1.6 -> v0.1.6 2025-08-14T21:03:59.6286410Z * [new tag] v0.1.7 -> v0.1.7 2025-08-14T21:03:59.6287222Z * [new tag] v0.1.8 -> v0.1.8 2025-08-14T21:03:59.6288252Z * [new tag] v0.1.9 -> v0.1.9 2025-08-14T21:03:59.6288742Z * [new tag] v0.2.0 -> v0.2.0 2025-08-14T21:03:59.6289490Z * [new tag] v0.3.0 -> v0.3.0 2025-08-14T21:03:59.6290445Z * [new tag] v0.3.1 -> v0.3.1 2025-08-14T21:03:59.6291078Z * [new tag] v0.4.0 -> v0.4.0 2025-08-14T21:03:59.6291820Z * [new tag] v0.4.1 -> v0.4.1 2025-08-14T21:03:59.6292583Z * [new tag] v1.0.0 -> v1.0.0 2025-08-14T21:03:59.6293533Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-08-14T21:03:59.6294206Z * [new tag] v1.0.1 -> v1.0.1 2025-08-14T21:03:59.6295008Z * [new tag] v1.0rc0 -> v1.0rc0 2025-08-14T21:03:59.6295716Z * [new tag] v1.0rc1 -> v1.0rc1 2025-08-14T21:03:59.6296482Z * [new tag] v1.1.0 -> v1.1.0 2025-08-14T21:03:59.6297268Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-08-14T21:03:59.6298360Z * [new tag] v1.10.0 -> v1.10.0 2025-08-14T21:03:59.6299141Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-08-14T21:03:59.6299952Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-08-14T21:03:59.6300507Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-08-14T21:03:59.6301459Z * [new tag] v1.10.1 -> v1.10.1 2025-08-14T21:03:59.6301985Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-08-14T21:03:59.6302580Z * [new tag] v1.10.2 -> v1.10.2 2025-08-14T21:03:59.6303174Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-08-14T21:03:59.6304592Z * [new tag] v1.11.0 -> v1.11.0 2025-08-14T21:03:59.6305502Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-08-14T21:03:59.6306550Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-08-14T21:03:59.6307483Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-08-14T21:03:59.6308232Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-08-14T21:03:59.6309148Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-08-14T21:03:59.6309745Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-08-14T21:03:59.6310342Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-08-14T21:03:59.6311253Z * [new tag] v1.12.0 -> v1.12.0 2025-08-14T21:03:59.6311997Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-08-14T21:03:59.6312932Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-08-14T21:03:59.6313682Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-08-14T21:03:59.6314589Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-08-14T21:03:59.6315332Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-08-14T21:03:59.6316175Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-08-14T21:03:59.6316732Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-08-14T21:03:59.6317388Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-08-14T21:03:59.6317995Z * [new tag] v1.12.1 -> v1.12.1 2025-08-14T21:03:59.6319032Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-08-14T21:03:59.6319735Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-08-14T21:03:59.6320801Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-08-14T21:03:59.6321580Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-08-14T21:03:59.6322197Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-08-14T21:03:59.6323062Z * [new tag] v1.13.0 -> v1.13.0 2025-08-14T21:03:59.6323796Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-08-14T21:03:59.6324572Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-08-14T21:03:59.6325354Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-08-14T21:03:59.6326371Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-08-14T21:03:59.6326863Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-08-14T21:03:59.6327521Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-08-14T21:03:59.6328480Z * [new tag] v1.13.1 -> v1.13.1 2025-08-14T21:03:59.6328973Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-08-14T21:03:59.6329724Z * [new tag] v1.2.0 -> v1.2.0 2025-08-14T21:03:59.6330637Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-08-14T21:03:59.6331344Z * [new tag] v1.3.0 -> v1.3.0 2025-08-14T21:03:59.6332138Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-08-14T21:03:59.6332682Z * [new tag] v1.3.1 -> v1.3.1 2025-08-14T21:03:59.6333539Z * [new tag] v1.4.0 -> v1.4.0 2025-08-14T21:03:59.6334288Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-08-14T21:03:59.6334841Z * [new tag] v1.4.1 -> v1.4.1 2025-08-14T21:03:59.6335851Z * [new tag] v1.5.0 -> v1.5.0 2025-08-14T21:03:59.6336859Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-08-14T21:03:59.6337396Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-08-14T21:03:59.6338348Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-08-14T21:03:59.6338991Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-08-14T21:03:59.6339670Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-08-14T21:03:59.6340623Z * [new tag] v1.5.1 -> v1.5.1 2025-08-14T21:03:59.6341148Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-08-14T21:03:59.6341777Z * [new tag] v1.6.0 -> v1.6.0 2025-08-14T21:03:59.6342747Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-08-14T21:03:59.6343569Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-08-14T21:03:59.6344443Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-08-14T21:03:59.6345174Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-08-14T21:03:59.6346283Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-08-14T21:03:59.6347012Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-08-14T21:03:59.6347601Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-08-14T21:03:59.6348605Z * [new tag] v1.7.0 -> v1.7.0 2025-08-14T21:03:59.6349329Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-08-14T21:03:59.6350280Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-08-14T21:03:59.6350982Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-08-14T21:03:59.6351575Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-08-14T21:03:59.6352545Z * [new tag] v1.7.1 -> v1.7.1 2025-08-14T21:03:59.6353524Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-08-14T21:03:59.6354197Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-08-14T21:03:59.6355277Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-08-14T21:03:59.6356089Z * [new tag] v1.8.0 -> v1.8.0 2025-08-14T21:03:59.6356663Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-08-14T21:03:59.6357594Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-08-14T21:03:59.6358339Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-08-14T21:03:59.6359208Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-08-14T21:03:59.6359715Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-08-14T21:03:59.6360381Z * [new tag] v1.8.1 -> v1.8.1 2025-08-14T21:03:59.6361219Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-08-14T21:03:59.6361795Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-08-14T21:03:59.6362449Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-08-14T21:03:59.6363911Z * [new tag] v1.8.2 -> v1.8.2 2025-08-14T21:03:59.6364540Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-08-14T21:03:59.6365309Z * [new tag] v1.9.0 -> v1.9.0 2025-08-14T21:03:59.6366117Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-08-14T21:03:59.6367072Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-08-14T21:03:59.6367837Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-08-14T21:03:59.6368465Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-08-14T21:03:59.6369401Z * [new tag] v1.9.1 -> v1.9.1 2025-08-14T21:03:59.6370392Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-08-14T21:03:59.6370923Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-08-14T21:03:59.6371884Z * [new tag] v2.0.0 -> v2.0.0 2025-08-14T21:03:59.6372636Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-08-14T21:03:59.6373523Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-08-14T21:03:59.6374407Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-08-14T21:03:59.6375122Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-08-14T21:03:59.6376152Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-08-14T21:03:59.6376734Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-08-14T21:03:59.6377726Z * [new tag] v2.0.1 -> v2.0.1 2025-08-14T21:03:59.6378584Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-08-14T21:03:59.6379164Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-08-14T21:03:59.6379913Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-08-14T21:03:59.6380449Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-08-14T21:03:59.6381901Z * [new tag] v2.1.0 -> v2.1.0 2025-08-14T21:03:59.6382618Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-08-14T21:03:59.6383581Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-08-14T21:03:59.6384523Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-08-14T21:03:59.6385265Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-08-14T21:03:59.6386322Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-08-14T21:03:59.6387069Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-08-14T21:03:59.6387713Z * [new tag] v2.1.1 -> v2.1.1 2025-08-14T21:03:59.6388588Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-08-14T21:03:59.6389279Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-08-14T21:03:59.6390299Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-08-14T21:03:59.6391022Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-08-14T21:03:59.6391928Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-08-14T21:03:59.6392498Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-08-14T21:03:59.6393278Z * [new tag] v2.1.2 -> v2.1.2 2025-08-14T21:03:59.6394214Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-08-14T21:03:59.6395022Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-08-14T21:03:59.6395590Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-08-14T21:03:59.6396556Z * [new tag] v2.2.0 -> v2.2.0 2025-08-14T21:03:59.6397355Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-08-14T21:03:59.6398303Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-08-14T21:03:59.6399030Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-08-14T21:03:59.6399790Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-08-14T21:03:59.6400575Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-08-14T21:03:59.6401514Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-08-14T21:03:59.6401996Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-08-14T21:03:59.6402711Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-08-14T21:03:59.6403616Z * [new tag] v2.2.1 -> v2.2.1 2025-08-14T21:03:59.6404366Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-08-14T21:03:59.6404989Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-08-14T21:03:59.6405549Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-08-14T21:03:59.6406650Z * [new tag] v2.2.2 -> v2.2.2 2025-08-14T21:03:59.6407570Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-08-14T21:03:59.6408246Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-08-14T21:03:59.6408844Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-08-14T21:03:59.6409740Z * [new tag] v2.3.0 -> v2.3.0 2025-08-14T21:03:59.6410453Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-08-14T21:03:59.6411401Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-08-14T21:03:59.6412400Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-08-14T21:03:59.6412835Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-08-14T21:03:59.6413714Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-08-14T21:03:59.6414458Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-08-14T21:03:59.6415388Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-08-14T21:03:59.6416091Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-08-14T21:03:59.6416713Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-08-14T21:03:59.6417683Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-08-14T21:03:59.6418428Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-08-14T21:03:59.6419064Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-08-14T21:03:59.6419668Z * [new tag] v2.3.1 -> v2.3.1 2025-08-14T21:03:59.6420567Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-08-14T21:03:59.6421422Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-08-14T21:03:59.6422290Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-08-14T21:03:59.6423217Z * [new tag] v2.4.0 -> v2.4.0 2025-08-14T21:03:59.6424079Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-08-14T21:03:59.6424788Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-08-14T21:03:59.6425726Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-08-14T21:03:59.6426633Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-08-14T21:03:59.6427445Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-08-14T21:03:59.6428319Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-08-14T21:03:59.6429173Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-08-14T21:03:59.6429887Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-08-14T21:03:59.6430883Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-08-14T21:03:59.6431504Z * [new tag] v2.4.1 -> v2.4.1 2025-08-14T21:03:59.6432439Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-08-14T21:03:59.6433248Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-08-14T21:03:59.6434187Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-08-14T21:03:59.6434932Z * [new tag] v2.5.0 -> v2.5.0 2025-08-14T21:03:59.6435988Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-08-14T21:03:59.6436415Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-08-14T21:03:59.6437254Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-08-14T21:03:59.6438114Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-08-14T21:03:59.6438854Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-08-14T21:03:59.6439659Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-08-14T21:03:59.6440705Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-08-14T21:03:59.6441467Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-08-14T21:03:59.6442668Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-08-14T21:03:59.6443595Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-08-14T21:03:59.6444624Z * [new tag] v2.5.1 -> v2.5.1 2025-08-14T21:03:59.6444869Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-08-14T21:03:59.6445350Z * [new tag] v2.6.0 -> v2.6.0 2025-08-14T21:03:59.6446382Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-08-14T21:03:59.6447380Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-08-14T21:03:59.6448202Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-08-14T21:03:59.6449031Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-08-14T21:03:59.6450241Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-08-14T21:03:59.6451204Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-08-14T21:03:59.6452103Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-08-14T21:03:59.6453029Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-08-14T21:03:59.6453965Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-08-14T21:03:59.6454894Z * [new tag] v2.7.0 -> v2.7.0 2025-08-14T21:03:59.6455764Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-08-14T21:03:59.6456272Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-08-14T21:03:59.6457400Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-08-14T21:03:59.6458331Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-08-14T21:03:59.6459207Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-08-14T21:03:59.6460543Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-08-14T21:03:59.6461242Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-08-14T21:03:59.6462225Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-08-14T21:03:59.6463138Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-08-14T21:03:59.6464027Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-08-14T21:03:59.6464570Z * [new tag] v2.7.1 -> v2.7.1 2025-08-14T21:03:59.6465558Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-08-14T21:03:59.6466647Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-08-14T21:03:59.6467591Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-08-14T21:03:59.6468466Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-08-14T21:03:59.6469307Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-08-14T21:03:59.6469891Z * [new tag] v2.8.0 -> v2.8.0 2025-08-14T21:03:59.6470904Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-08-14T21:03:59.6471615Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-08-14T21:03:59.6472620Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-08-14T21:03:59.6473552Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-08-14T21:03:59.6474369Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-08-14T21:03:59.6475362Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-08-14T21:03:59.6476217Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-08-14T21:03:59.6477245Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-08-14T21:03:59.6477928Z * [new tag] whc_flight_1 -> whc_flight_1 2025-08-14T21:03:59.6478782Z * [new tag] whc_flight_2 -> whc_flight_2 2025-08-14T21:03:59.6479402Z * [new tag] whc_flight_4 -> whc_flight_4 2025-08-14T21:03:59.7078240Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object} 2025-08-14T21:03:59.7102558Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:03:59.7106457Z ##[endgroup] 2025-08-14T21:03:59.7106773Z ##[group]Determining the checkout info 2025-08-14T21:03:59.7107425Z ##[endgroup] 2025-08-14T21:03:59.7111156Z [command]/usr/bin/git sparse-checkout disable 2025-08-14T21:03:59.7141997Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-08-14T21:03:59.7167973Z ##[group]Checking out the ref 2025-08-14T21:03:59.7168282Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:04:00.7462480Z Updating files: 88% (17162/19474) 2025-08-14T21:04:00.7578653Z Updating files: 89% (17332/19474) 2025-08-14T21:04:00.7734198Z Updating files: 90% (17527/19474) 2025-08-14T21:04:00.7854583Z Updating files: 91% (17722/19474) 2025-08-14T21:04:00.7975755Z Updating files: 92% (17917/19474) 2025-08-14T21:04:00.8151625Z Updating files: 93% (18111/19474) 2025-08-14T21:04:00.8329000Z Updating files: 94% (18306/19474) 2025-08-14T21:04:00.8501506Z Updating files: 95% (18501/19474) 2025-08-14T21:04:00.8649384Z Updating files: 96% (18696/19474) 2025-08-14T21:04:00.8809526Z Updating files: 97% (18890/19474) 2025-08-14T21:04:00.9087537Z Updating files: 98% (19085/19474) 2025-08-14T21:04:00.9229413Z Updating files: 99% (19280/19474) 2025-08-14T21:04:00.9229734Z Updating files: 100% (19474/19474) 2025-08-14T21:04:00.9230074Z Updating files: 100% (19474/19474), done. 2025-08-14T21:04:00.9498602Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'. 2025-08-14T21:04:00.9498917Z 2025-08-14T21:04:00.9499135Z You are in 'detached HEAD' state. You can look around, make experimental 2025-08-14T21:04:00.9499686Z changes and commit them, and you can discard any commits you make in this 2025-08-14T21:04:00.9500232Z state without impacting any branches by switching back to a branch. 2025-08-14T21:04:00.9500547Z 2025-08-14T21:04:00.9500768Z If you want to create a new branch to retain commits you create, you may 2025-08-14T21:04:00.9501280Z do so (now or later) by using -c with the switch command. Example: 2025-08-14T21:04:00.9501578Z 2025-08-14T21:04:00.9501692Z git switch -c 2025-08-14T21:04:00.9501902Z 2025-08-14T21:04:00.9502009Z Or undo this operation with: 2025-08-14T21:04:00.9502188Z 2025-08-14T21:04:00.9502290Z git switch - 2025-08-14T21:04:00.9502431Z 2025-08-14T21:04:00.9502664Z Turn off this advice by setting config variable advice.detachedHead to false 2025-08-14T21:04:00.9503021Z 2025-08-14T21:04:00.9503407Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645) 2025-08-14T21:04:00.9564507Z ##[endgroup] 2025-08-14T21:04:00.9565170Z ##[group]Setting up auth for fetching submodules 2025-08-14T21:04:00.9571092Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-08-14T21:04:00.9615297Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-08-14T21:04:00.9642621Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-08-14T21:04:00.9669995Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-08-14T21:04:00.9692769Z ##[endgroup] 2025-08-14T21:04:00.9693455Z ##[group]Fetching submodules 2025-08-14T21:04:00.9697262Z [command]/usr/bin/git submodule sync --recursive 2025-08-14T21:04:00.9984799Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-08-14T21:04:01.0265193Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-08-14T21:04:01.0266613Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-08-14T21:04:01.0269603Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-08-14T21:04:01.0272610Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-08-14T21:04:01.0275716Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-08-14T21:04:01.0279648Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-08-14T21:04:01.0282645Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-08-14T21:04:01.0286041Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-08-14T21:04:01.0289743Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-08-14T21:04:01.0293681Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-08-14T21:04:01.0297189Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-08-14T21:04:01.0300990Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-08-14T21:04:01.0305071Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-08-14T21:04:01.0309200Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-08-14T21:04:01.0313207Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-08-14T21:04:01.0318463Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-08-14T21:04:01.0324584Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-08-14T21:04:01.0328945Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-08-14T21:04:01.0333562Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:04:01.0338004Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-08-14T21:04:01.0342731Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-08-14T21:04:01.0347554Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-08-14T21:04:01.0352419Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-08-14T21:04:01.0357298Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-08-14T21:04:01.0362354Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-08-14T21:04:01.0367482Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-08-14T21:04:01.0372655Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-08-14T21:04:01.0378355Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-08-14T21:04:01.0384070Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-08-14T21:04:01.0389517Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-08-14T21:04:01.0395134Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-08-14T21:04:01.0400733Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-08-14T21:04:01.0406548Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-08-14T21:04:01.0413900Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-08-14T21:04:01.0420087Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-08-14T21:04:01.0426156Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-08-14T21:04:01.0432306Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-08-14T21:04:01.0462711Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-08-14T21:04:01.3134552Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-08-14T21:04:01.3135542Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-08-14T21:04:01.3164470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-08-14T21:04:04.6355966Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-08-14T21:04:04.6357659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-08-14T21:04:04.6359175Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-08-14T21:04:04.6360636Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-08-14T21:04:04.6362188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-08-14T21:04:04.6363854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-08-14T21:04:04.6365536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-08-14T21:04:04.6367909Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-08-14T21:04:04.6464036Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-08-14T21:04:04.6465330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-08-14T21:04:04.6466666Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-08-14T21:04:04.6468264Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-08-14T21:04:04.6469496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-08-14T21:04:04.6470795Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-08-14T21:04:04.6472250Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-08-14T21:04:04.6473594Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-08-14T21:04:04.6474951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-08-14T21:04:04.6476753Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-08-14T21:04:04.6479465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-08-14T21:04:04.6985020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-08-14T21:04:04.7987172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-08-14T21:04:17.7989352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-08-14T21:04:17.7990769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-08-14T21:04:17.7992055Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-08-14T21:04:17.7993443Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-08-14T21:04:17.7994818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-08-14T21:04:17.7996168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-08-14T21:04:17.7997477Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-08-14T21:04:17.7998884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-08-14T21:04:17.8000321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-08-14T21:04:17.8001821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-08-14T21:04:17.8991162Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-08-14T21:04:23.1013768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-08-14T21:04:23.1164914Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-08-14T21:04:23.1284544Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-08-14T21:04:23.1376875Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-08-14T21:04:23.1620479Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-08-14T21:04:23.2378030Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-08-14T21:04:23.2885359Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-08-14T21:04:24.0026274Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-08-14T21:04:24.1505001Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-08-14T21:04:24.1523923Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:04:24.1548375Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-08-14T21:04:27.2464989Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-08-14T21:04:27.2692801Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-08-14T21:04:27.5773466Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-08-14T21:04:27.6311026Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-08-14T21:04:27.7274779Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-08-14T21:04:27.7702202Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-08-14T21:04:28.3827217Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-08-14T21:04:28.5188541Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067' 2025-08-14T21:04:28.5208060Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-08-14T21:04:28.5210681Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:04:28.5212927Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:04:28.5215321Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-08-14T21:04:28.5217904Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-08-14T21:04:28.5221040Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:04:28.5223565Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-08-14T21:04:28.5250702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-08-14T21:04:29.8271193Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-08-14T21:04:29.8273140Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-08-14T21:04:29.8274830Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-08-14T21:04:29.9096194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-08-14T21:04:30.0097683Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-08-14T21:04:30.7931106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-08-14T21:04:36.8260309Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-08-14T21:04:37.0787224Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-08-14T21:04:37.1773028Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-08-14T21:04:37.7756124Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad' 2025-08-14T21:04:37.8218308Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:04:37.8335669Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-08-14T21:04:37.9392479Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-08-14T21:04:38.0072190Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-08-14T21:04:38.0091692Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:04:38.0093804Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:04:38.0119232Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-08-14T21:04:40.8975536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-08-14T21:04:41.1305412Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-08-14T21:04:41.6800664Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-08-14T21:04:41.8153805Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-08-14T21:04:41.8486053Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-08-14T21:04:41.8885087Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-08-14T21:04:41.9130539Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-08-14T21:04:41.9579637Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-08-14T21:04:41.9707430Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-08-14T21:04:41.9723217Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-08-14T21:04:41.9746934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-08-14T21:04:52.9080128Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-08-14T21:04:52.9274465Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-08-14T21:04:53.0140590Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-08-14T21:04:53.0158119Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:04:53.0159869Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:04:53.0162576Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:04:53.0188558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-08-14T21:04:53.7416763Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-08-14T21:04:54.3357283Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-08-14T21:04:54.4178020Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-08-14T21:04:54.4194912Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:04:54.4197098Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:04:54.4199656Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:04:54.4202285Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:04:54.4204928Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:04:54.4207769Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:04:54.4210541Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:04:54.4213507Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:04:54.4241051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-08-14T21:04:56.0951592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-08-14T21:04:56.0952807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-08-14T21:04:56.0953917Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-08-14T21:04:56.0955015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-08-14T21:04:56.0956168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-08-14T21:04:56.1952550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-08-14T21:04:56.3123071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-08-14T21:05:01.6779514Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-08-14T21:05:01.6956909Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-08-14T21:05:01.7321168Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-08-14T21:05:01.7454525Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-08-14T21:05:01.7469201Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:05:01.7492999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-08-14T21:05:02.1871141Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-08-14T21:05:02.2057474Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-08-14T21:05:02.2458263Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-08-14T21:05:02.3416462Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-08-14T21:05:02.3581258Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-08-14T21:05:02.3916242Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-08-14T21:05:02.4501308Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-08-14T21:05:02.4925662Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-08-14T21:05:02.5303856Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-08-14T21:05:02.6376975Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-08-14T21:05:03.0226447Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-08-14T21:05:03.0263586Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-08-14T21:05:03.0288592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-08-14T21:05:04.2945195Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:05:04.3625758Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-08-14T21:05:04.3645865Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:05:04.3647926Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:05:04.3650236Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:05:04.3652809Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:05:04.3655579Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:05:04.3658324Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:05:04.3660850Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:05:04.3663627Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:05:04.3691237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-08-14T21:05:04.8121323Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-08-14T21:05:04.8123433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-08-14T21:05:04.8125573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-08-14T21:05:04.8128143Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-08-14T21:05:04.9122936Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-08-14T21:05:05.5386676Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-08-14T21:05:12.2436170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-08-14T21:05:12.8864442Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-08-14T21:05:12.9260393Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-08-14T21:05:12.9424480Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-08-14T21:05:13.0431391Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-08-14T21:05:13.0563645Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-08-14T21:05:13.0705380Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-08-14T21:05:13.0858588Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-08-14T21:05:13.0873456Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:05:13.0875779Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:05:13.0900617Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-08-14T21:05:14.8369060Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-08-14T21:05:15.0844817Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-08-14T21:05:15.1310607Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-08-14T21:05:15.5899966Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-08-14T21:05:15.6017611Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-08-14T21:05:15.8711318Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-08-14T21:05:15.8732415Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:05:15.8734751Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-08-14T21:05:15.8760253Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-08-14T21:05:16.3907198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-08-14T21:05:16.8470142Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-08-14T21:05:16.9179655Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-08-14T21:05:16.9271145Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-08-14T21:05:16.9388980Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-08-14T21:05:16.9743366Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-08-14T21:05:17.0030801Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-08-14T21:05:17.0458113Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-08-14T21:05:17.0725621Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a' 2025-08-14T21:05:17.0744986Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:05:17.0747412Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:05:17.0749734Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:05:17.0752240Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:05:17.0779398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 2025-08-14T21:05:18.2196779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'... 2025-08-14T21:05:18.2614522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'... 2025-08-14T21:05:18.3941032Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'... 2025-08-14T21:05:18.4509538Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 2025-08-14T21:05:18.4664036Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281' 2025-08-14T21:05:18.5389588Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b' 2025-08-14T21:05:18.5674620Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 2025-08-14T21:05:18.5691264Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:05:18.5715591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'... 2025-08-14T21:05:18.7726332Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2025-08-14T21:05:18.7760847Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-08-14T21:05:18.8041946Z Entering 'android/libs/fbjni' 2025-08-14T21:05:18.8082992Z Entering 'third_party/FP16' 2025-08-14T21:05:18.8121378Z Entering 'third_party/FXdiv' 2025-08-14T21:05:18.8161532Z Entering 'third_party/NNPACK' 2025-08-14T21:05:18.8200676Z Entering 'third_party/NVTX' 2025-08-14T21:05:18.8240675Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:05:18.8279560Z Entering 'third_party/XNNPACK' 2025-08-14T21:05:18.8333262Z Entering 'third_party/aiter' 2025-08-14T21:05:18.8373778Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:05:18.8419817Z Entering 'third_party/benchmark' 2025-08-14T21:05:18.8460200Z Entering 'third_party/composable_kernel' 2025-08-14T21:05:18.8510694Z Entering 'third_party/cpp-httplib' 2025-08-14T21:05:18.8549642Z Entering 'third_party/cpuinfo' 2025-08-14T21:05:18.8590544Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:05:18.8629361Z Entering 'third_party/cutlass' 2025-08-14T21:05:18.8679388Z Entering 'third_party/fbgemm' 2025-08-14T21:05:18.8721072Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:05:18.8758804Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:05:18.8804418Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:05:18.8843658Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:05:18.8892364Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:05:18.8929561Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:05:18.8966543Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:05:18.9008662Z Entering 'third_party/flash-attention' 2025-08-14T21:05:18.9049001Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:05:18.9093127Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:05:18.9141877Z Entering 'third_party/flatbuffers' 2025-08-14T21:05:18.9185621Z Entering 'third_party/fmt' 2025-08-14T21:05:18.9226788Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:05:18.9267267Z Entering 'third_party/gloo' 2025-08-14T21:05:18.9311584Z Entering 'third_party/googletest' 2025-08-14T21:05:18.9352515Z Entering 'third_party/ideep' 2025-08-14T21:05:18.9392370Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:05:18.9439595Z Entering 'third_party/ittapi' 2025-08-14T21:05:18.9480319Z Entering 'third_party/kineto' 2025-08-14T21:05:18.9521442Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:05:18.9560373Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:05:18.9600670Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:05:18.9640413Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:05:18.9680080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:05:18.9717747Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:05:18.9757918Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:05:18.9796416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:05:18.9835969Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:05:18.9874924Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:05:18.9915341Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:05:18.9954438Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:05:18.9995539Z Entering 'third_party/kleidiai' 2025-08-14T21:05:19.0036165Z Entering 'third_party/mimalloc' 2025-08-14T21:05:19.0075357Z Entering 'third_party/nlohmann' 2025-08-14T21:05:19.0117639Z Entering 'third_party/onnx' 2025-08-14T21:05:19.0176629Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:05:19.0218595Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:05:19.0261083Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:05:19.0298819Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:05:19.0336592Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:05:19.0374785Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:05:19.0413518Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:05:19.0450739Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:05:19.0490172Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:05:19.0526661Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:05:19.0565525Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:05:19.0605779Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:05:19.0663694Z Entering 'third_party/pocketfft' 2025-08-14T21:05:19.0704556Z Entering 'third_party/protobuf' 2025-08-14T21:05:19.0747771Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:05:19.0787407Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:05:19.0826632Z Entering 'third_party/psimd' 2025-08-14T21:05:19.0865875Z Entering 'third_party/pthreadpool' 2025-08-14T21:05:19.0904914Z Entering 'third_party/pybind11' 2025-08-14T21:05:19.0944958Z Entering 'third_party/python-peachpy' 2025-08-14T21:05:19.0984878Z Entering 'third_party/sleef' 2025-08-14T21:05:19.1024284Z Entering 'third_party/tensorpipe' 2025-08-14T21:05:19.1064574Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:05:19.1104507Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:05:19.1141877Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:05:19.1180326Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:05:19.1216976Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:05:19.1268515Z ##[endgroup] 2025-08-14T21:05:19.1268983Z ##[group]Persisting credentials for submodules 2025-08-14T21:05:19.1274607Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-08-14T21:05:19.1555827Z Entering 'android/libs/fbjni' 2025-08-14T21:05:19.1609025Z Entering 'third_party/FP16' 2025-08-14T21:05:19.1659566Z Entering 'third_party/FXdiv' 2025-08-14T21:05:19.1711010Z Entering 'third_party/NNPACK' 2025-08-14T21:05:19.1762040Z Entering 'third_party/NVTX' 2025-08-14T21:05:19.1813726Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:05:19.1865186Z Entering 'third_party/XNNPACK' 2025-08-14T21:05:19.1932099Z Entering 'third_party/aiter' 2025-08-14T21:05:19.1985352Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:05:19.2043350Z Entering 'third_party/benchmark' 2025-08-14T21:05:19.2096931Z Entering 'third_party/composable_kernel' 2025-08-14T21:05:19.2157768Z Entering 'third_party/cpp-httplib' 2025-08-14T21:05:19.2210205Z Entering 'third_party/cpuinfo' 2025-08-14T21:05:19.2262941Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:05:19.2315035Z Entering 'third_party/cutlass' 2025-08-14T21:05:19.2375895Z Entering 'third_party/fbgemm' 2025-08-14T21:05:19.2429975Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:05:19.2481099Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:05:19.2538970Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:05:19.2590036Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:05:19.2647974Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:05:19.2698591Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:05:19.2748147Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:05:19.2800984Z Entering 'third_party/flash-attention' 2025-08-14T21:05:19.2853843Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:05:19.2910671Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:05:19.2970750Z Entering 'third_party/flatbuffers' 2025-08-14T21:05:19.3027012Z Entering 'third_party/fmt' 2025-08-14T21:05:19.3079206Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:05:19.3130102Z Entering 'third_party/gloo' 2025-08-14T21:05:19.3181982Z Entering 'third_party/googletest' 2025-08-14T21:05:19.3233331Z Entering 'third_party/ideep' 2025-08-14T21:05:19.3285470Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:05:19.3342309Z Entering 'third_party/ittapi' 2025-08-14T21:05:19.3394886Z Entering 'third_party/kineto' 2025-08-14T21:05:19.3446476Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:05:19.3502455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:05:19.3548579Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:05:19.3599000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:05:19.3649464Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:05:19.3697915Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:05:19.3749059Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:05:19.3799080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:05:19.3848190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:05:19.3898660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:05:19.3949351Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:05:19.3999335Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:05:19.4050210Z Entering 'third_party/kleidiai' 2025-08-14T21:05:19.4103894Z Entering 'third_party/mimalloc' 2025-08-14T21:05:19.4155303Z Entering 'third_party/nlohmann' 2025-08-14T21:05:19.4208688Z Entering 'third_party/onnx' 2025-08-14T21:05:19.4279402Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:05:19.4331785Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:05:19.4386573Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:05:19.4435902Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:05:19.4486243Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:05:19.4535233Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:05:19.4587496Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:05:19.4636624Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:05:19.4687066Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:05:19.4735941Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:05:19.4787987Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:05:19.4839520Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:05:19.4910639Z Entering 'third_party/pocketfft' 2025-08-14T21:05:19.4962362Z Entering 'third_party/protobuf' 2025-08-14T21:05:19.5017081Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:05:19.5067733Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:05:19.5119657Z Entering 'third_party/psimd' 2025-08-14T21:05:19.5172125Z Entering 'third_party/pthreadpool' 2025-08-14T21:05:19.5222167Z Entering 'third_party/pybind11' 2025-08-14T21:05:19.5274640Z Entering 'third_party/python-peachpy' 2025-08-14T21:05:19.5325256Z Entering 'third_party/sleef' 2025-08-14T21:05:19.5377621Z Entering 'third_party/tensorpipe' 2025-08-14T21:05:19.5427633Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:05:19.5478712Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:05:19.5527670Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:05:19.5578084Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:05:19.5626325Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:05:19.5694513Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-08-14T21:05:19.5973639Z Entering 'android/libs/fbjni' 2025-08-14T21:05:19.6022796Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-08-14T21:05:19.6037608Z Entering 'third_party/FP16' 2025-08-14T21:05:19.6085946Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-08-14T21:05:19.6100816Z Entering 'third_party/FXdiv' 2025-08-14T21:05:19.6148607Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-08-14T21:05:19.6163029Z Entering 'third_party/NNPACK' 2025-08-14T21:05:19.6210311Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config remote.origin.url 2025-08-14T21:05:19.6225486Z Entering 'third_party/NVTX' 2025-08-14T21:05:19.6274508Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config remote.origin.url 2025-08-14T21:05:19.6290228Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:05:19.6338153Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config remote.origin.url 2025-08-14T21:05:19.6353132Z Entering 'third_party/XNNPACK' 2025-08-14T21:05:19.6400524Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config remote.origin.url 2025-08-14T21:05:19.6429956Z Entering 'third_party/aiter' 2025-08-14T21:05:19.6479645Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config remote.origin.url 2025-08-14T21:05:19.6495481Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:05:19.6542405Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config remote.origin.url 2025-08-14T21:05:19.6566525Z Entering 'third_party/benchmark' 2025-08-14T21:05:19.6615485Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config remote.origin.url 2025-08-14T21:05:19.6630790Z Entering 'third_party/composable_kernel' 2025-08-14T21:05:19.6679077Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config remote.origin.url 2025-08-14T21:05:19.6702628Z Entering 'third_party/cpp-httplib' 2025-08-14T21:05:19.6750923Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config remote.origin.url 2025-08-14T21:05:19.6766036Z Entering 'third_party/cpuinfo' 2025-08-14T21:05:19.6815058Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config remote.origin.url 2025-08-14T21:05:19.6830734Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:05:19.6878600Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config remote.origin.url 2025-08-14T21:05:19.6894280Z Entering 'third_party/cutlass' 2025-08-14T21:05:19.6941701Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config remote.origin.url 2025-08-14T21:05:19.6966809Z Entering 'third_party/fbgemm' 2025-08-14T21:05:19.7014017Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config remote.origin.url 2025-08-14T21:05:19.7032766Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:05:19.7081949Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config remote.origin.url 2025-08-14T21:05:19.7096336Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:05:19.7143209Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config remote.origin.url 2025-08-14T21:05:19.7165134Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:05:19.7212621Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config remote.origin.url 2025-08-14T21:05:19.7228020Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:05:19.7276193Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config remote.origin.url 2025-08-14T21:05:19.7299364Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:05:19.7346565Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config remote.origin.url 2025-08-14T21:05:19.7360903Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:05:19.7408110Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config remote.origin.url 2025-08-14T21:05:19.7422261Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:05:19.7469329Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config remote.origin.url 2025-08-14T21:05:19.7486901Z Entering 'third_party/flash-attention' 2025-08-14T21:05:19.7534915Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config remote.origin.url 2025-08-14T21:05:19.7550127Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:05:19.7598166Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config remote.origin.url 2025-08-14T21:05:19.7618999Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:05:19.7666056Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config remote.origin.url 2025-08-14T21:05:19.7690272Z Entering 'third_party/flatbuffers' 2025-08-14T21:05:19.7738133Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config remote.origin.url 2025-08-14T21:05:19.7756469Z Entering 'third_party/fmt' 2025-08-14T21:05:19.7804660Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:05:19.7819727Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:05:19.7868111Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config remote.origin.url 2025-08-14T21:05:19.7883256Z Entering 'third_party/gloo' 2025-08-14T21:05:19.7930955Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config remote.origin.url 2025-08-14T21:05:19.7946451Z Entering 'third_party/googletest' 2025-08-14T21:05:19.7994697Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:05:19.8009666Z Entering 'third_party/ideep' 2025-08-14T21:05:19.8057656Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config remote.origin.url 2025-08-14T21:05:19.8072499Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:05:19.8120047Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config remote.origin.url 2025-08-14T21:05:19.8142559Z Entering 'third_party/ittapi' 2025-08-14T21:05:19.8190039Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config remote.origin.url 2025-08-14T21:05:19.8205591Z Entering 'third_party/kineto' 2025-08-14T21:05:19.8254070Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config remote.origin.url 2025-08-14T21:05:19.8268607Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:05:19.8334563Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config remote.origin.url 2025-08-14T21:05:19.8348857Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:05:19.8399944Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config remote.origin.url 2025-08-14T21:05:19.8415683Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:05:19.8463821Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config remote.origin.url 2025-08-14T21:05:19.8478819Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:05:19.8526260Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config remote.origin.url 2025-08-14T21:05:19.8541460Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:05:19.8591034Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config remote.origin.url 2025-08-14T21:05:19.8604428Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:05:19.8652478Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-08-14T21:05:19.8669317Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:05:19.8718134Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-08-14T21:05:19.8732670Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:05:19.8781909Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:05:19.8796792Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:05:19.8843925Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config remote.origin.url 2025-08-14T21:05:19.8860313Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:05:19.8908624Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2025-08-14T21:05:19.8924736Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:05:19.8972501Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2025-08-14T21:05:19.8988003Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:05:19.9035102Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-08-14T21:05:19.9051013Z Entering 'third_party/kleidiai' 2025-08-14T21:05:19.9099317Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-08-14T21:05:19.9114939Z Entering 'third_party/mimalloc' 2025-08-14T21:05:19.9163458Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-08-14T21:05:19.9179436Z Entering 'third_party/nlohmann' 2025-08-14T21:05:19.9225504Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-08-14T21:05:19.9242434Z Entering 'third_party/onnx' 2025-08-14T21:05:19.9290183Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-08-14T21:05:19.9323484Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:05:19.9371060Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-08-14T21:05:19.9389338Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:05:19.9438403Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-08-14T21:05:19.9454888Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:05:19.9502492Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-08-14T21:05:19.9516944Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:05:19.9564750Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:05:19.9579619Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:05:19.9626989Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-08-14T21:05:19.9641049Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:05:19.9688670Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-08-14T21:05:19.9704496Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:05:19.9751137Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-08-14T21:05:19.9765220Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:05:19.9813524Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-08-14T21:05:19.9828329Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:05:19.9875617Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-08-14T21:05:19.9889469Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:05:19.9936765Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-08-14T21:05:19.9953629Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:05:20.0002164Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-08-14T21:05:20.0018087Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:05:20.0065835Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-08-14T21:05:20.0101324Z Entering 'third_party/pocketfft' 2025-08-14T21:05:20.0149400Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-08-14T21:05:20.0164641Z Entering 'third_party/protobuf' 2025-08-14T21:05:20.0214505Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-08-14T21:05:20.0232421Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:05:20.0280233Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-08-14T21:05:20.0294267Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:05:20.0340844Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:05:20.0357025Z Entering 'third_party/psimd' 2025-08-14T21:05:20.0405569Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-08-14T21:05:20.0420670Z Entering 'third_party/pthreadpool' 2025-08-14T21:05:20.0469041Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-08-14T21:05:20.0485186Z Entering 'third_party/pybind11' 2025-08-14T21:05:20.0532507Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-08-14T21:05:20.0547811Z Entering 'third_party/python-peachpy' 2025-08-14T21:05:20.0595234Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-08-14T21:05:20.0610349Z Entering 'third_party/sleef' 2025-08-14T21:05:20.0657231Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-08-14T21:05:20.0672535Z Entering 'third_party/tensorpipe' 2025-08-14T21:05:20.0720380Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-08-14T21:05:20.0734853Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:05:20.0782427Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-08-14T21:05:20.0796483Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:05:20.0843237Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-08-14T21:05:20.0857591Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:05:20.0906145Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-08-14T21:05:20.0920609Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:05:20.0968456Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-08-14T21:05:20.0981994Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:05:20.1029305Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-08-14T21:05:20.1579763Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-08-14T21:05:20.1868066Z Entering 'android/libs/fbjni' 2025-08-14T21:05:20.1909116Z Entering 'third_party/FP16' 2025-08-14T21:05:20.1948974Z Entering 'third_party/FXdiv' 2025-08-14T21:05:20.1990376Z Entering 'third_party/NNPACK' 2025-08-14T21:05:20.2029228Z Entering 'third_party/NVTX' 2025-08-14T21:05:20.2070398Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:05:20.2111694Z Entering 'third_party/XNNPACK' 2025-08-14T21:05:20.2166847Z Entering 'third_party/aiter' 2025-08-14T21:05:20.2208900Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:05:20.2257083Z Entering 'third_party/benchmark' 2025-08-14T21:05:20.2298641Z Entering 'third_party/composable_kernel' 2025-08-14T21:05:20.2348262Z Entering 'third_party/cpp-httplib' 2025-08-14T21:05:20.2388338Z Entering 'third_party/cpuinfo' 2025-08-14T21:05:20.2428654Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:05:20.2469087Z Entering 'third_party/cutlass' 2025-08-14T21:05:20.2519197Z Entering 'third_party/fbgemm' 2025-08-14T21:05:20.2561443Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:05:20.2600018Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:05:20.2645053Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:05:20.2684736Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:05:20.2730976Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:05:20.2770523Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:05:20.2807603Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:05:20.2849140Z Entering 'third_party/flash-attention' 2025-08-14T21:05:20.2890995Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:05:20.2935793Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:05:20.2985092Z Entering 'third_party/flatbuffers' 2025-08-14T21:05:20.3027835Z Entering 'third_party/fmt' 2025-08-14T21:05:20.3067663Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:05:20.3108340Z Entering 'third_party/gloo' 2025-08-14T21:05:20.3148804Z Entering 'third_party/googletest' 2025-08-14T21:05:20.3188673Z Entering 'third_party/ideep' 2025-08-14T21:05:20.3227344Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:05:20.3273602Z Entering 'third_party/ittapi' 2025-08-14T21:05:20.3312875Z Entering 'third_party/kineto' 2025-08-14T21:05:20.3352305Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:05:20.3390989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:05:20.3431673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:05:20.3471869Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:05:20.3510806Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:05:20.3548928Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:05:20.3590731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:05:20.3629482Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:05:20.3669354Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:05:20.3709309Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:05:20.3749329Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:05:20.3789173Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:05:20.3829821Z Entering 'third_party/kleidiai' 2025-08-14T21:05:20.3870767Z Entering 'third_party/mimalloc' 2025-08-14T21:05:20.3909684Z Entering 'third_party/nlohmann' 2025-08-14T21:05:20.3951028Z Entering 'third_party/onnx' 2025-08-14T21:05:20.4009223Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:05:20.4051402Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:05:20.4092628Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:05:20.4130826Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:05:20.4169753Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:05:20.4206008Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:05:20.4245284Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:05:20.4282225Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:05:20.4319819Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:05:20.4357681Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:05:20.4398937Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:05:20.4438690Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:05:20.4497760Z Entering 'third_party/pocketfft' 2025-08-14T21:05:20.4536661Z Entering 'third_party/protobuf' 2025-08-14T21:05:20.4580489Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:05:20.4618426Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:05:20.4658320Z Entering 'third_party/psimd' 2025-08-14T21:05:20.4699178Z Entering 'third_party/pthreadpool' 2025-08-14T21:05:20.4737863Z Entering 'third_party/pybind11' 2025-08-14T21:05:20.4777795Z Entering 'third_party/python-peachpy' 2025-08-14T21:05:20.4817798Z Entering 'third_party/sleef' 2025-08-14T21:05:20.4856603Z Entering 'third_party/tensorpipe' 2025-08-14T21:05:20.4898136Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:05:20.4935675Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:05:20.4973375Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:05:20.5011876Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:05:20.5049249Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:05:20.5107128Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-08-14T21:05:20.5387729Z Entering 'android/libs/fbjni' 2025-08-14T21:05:20.5426823Z Entering 'third_party/FP16' 2025-08-14T21:05:20.5466372Z Entering 'third_party/FXdiv' 2025-08-14T21:05:20.5507531Z Entering 'third_party/NNPACK' 2025-08-14T21:05:20.5546486Z Entering 'third_party/NVTX' 2025-08-14T21:05:20.5587482Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T21:05:20.5626359Z Entering 'third_party/XNNPACK' 2025-08-14T21:05:20.5681397Z Entering 'third_party/aiter' 2025-08-14T21:05:20.5723316Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T21:05:20.5771948Z Entering 'third_party/benchmark' 2025-08-14T21:05:20.5814832Z Entering 'third_party/composable_kernel' 2025-08-14T21:05:20.5862675Z Entering 'third_party/cpp-httplib' 2025-08-14T21:05:20.5903491Z Entering 'third_party/cpuinfo' 2025-08-14T21:05:20.5943925Z Entering 'third_party/cudnn_frontend' 2025-08-14T21:05:20.5986458Z Entering 'third_party/cutlass' 2025-08-14T21:05:20.6033466Z Entering 'third_party/fbgemm' 2025-08-14T21:05:20.6075921Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T21:05:20.6113964Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T21:05:20.6159856Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T21:05:20.6198414Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T21:05:20.6244693Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T21:05:20.6284134Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T21:05:20.6321673Z Entering 'third_party/fbgemm/external/json' 2025-08-14T21:05:20.6363300Z Entering 'third_party/flash-attention' 2025-08-14T21:05:20.6404826Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T21:05:20.6449261Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T21:05:20.6497202Z Entering 'third_party/flatbuffers' 2025-08-14T21:05:20.6540707Z Entering 'third_party/fmt' 2025-08-14T21:05:20.6581101Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T21:05:20.6621230Z Entering 'third_party/gloo' 2025-08-14T21:05:20.6660454Z Entering 'third_party/googletest' 2025-08-14T21:05:20.6700848Z Entering 'third_party/ideep' 2025-08-14T21:05:20.6739366Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T21:05:20.6785476Z Entering 'third_party/ittapi' 2025-08-14T21:05:20.6824552Z Entering 'third_party/kineto' 2025-08-14T21:05:20.6863591Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T21:05:20.6916752Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T21:05:20.6956008Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T21:05:20.6994993Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T21:05:20.7032951Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T21:05:20.7070523Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T21:05:20.7111737Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T21:05:20.7150086Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T21:05:20.7190364Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T21:05:20.7229165Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T21:05:20.7269388Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T21:05:20.7308870Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T21:05:20.7349280Z Entering 'third_party/kleidiai' 2025-08-14T21:05:20.7389917Z Entering 'third_party/mimalloc' 2025-08-14T21:05:20.7429666Z Entering 'third_party/nlohmann' 2025-08-14T21:05:20.7472527Z Entering 'third_party/onnx' 2025-08-14T21:05:20.7530210Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T21:05:20.7570979Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T21:05:20.7612659Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T21:05:20.7650250Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T21:05:20.7688839Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T21:05:20.7725328Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T21:05:20.7764436Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T21:05:20.7801847Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T21:05:20.7838703Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T21:05:20.7876891Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T21:05:20.7917116Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T21:05:20.7956678Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T21:05:20.8015143Z Entering 'third_party/pocketfft' 2025-08-14T21:05:20.8054397Z Entering 'third_party/protobuf' 2025-08-14T21:05:20.8099180Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T21:05:20.8137480Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T21:05:20.8179275Z Entering 'third_party/psimd' 2025-08-14T21:05:20.8218209Z Entering 'third_party/pthreadpool' 2025-08-14T21:05:20.8257092Z Entering 'third_party/pybind11' 2025-08-14T21:05:20.8296297Z Entering 'third_party/python-peachpy' 2025-08-14T21:05:20.8335672Z Entering 'third_party/sleef' 2025-08-14T21:05:20.8375378Z Entering 'third_party/tensorpipe' 2025-08-14T21:05:20.8415616Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T21:05:20.8453942Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T21:05:20.8492258Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T21:05:20.8530709Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T21:05:20.8568676Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T21:05:20.8619923Z ##[endgroup] 2025-08-14T21:05:20.8653071Z [command]/usr/bin/git log -1 --format=%H 2025-08-14T21:05:20.8674310Z 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:05:20.8861008Z Prepare all required actions 2025-08-14T21:05:20.8861562Z Getting action download info 2025-08-14T21:05:21.0320790Z ##[group]Run ./.github/actions/setup-linux 2025-08-14T21:05:21.0321122Z env: 2025-08-14T21:05:21.0321350Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:21.0321603Z ##[endgroup] 2025-08-14T21:05:21.0366190Z ##[group]Run set -euo pipefail 2025-08-14T21:05:21.0366545Z set -euo pipefail 2025-08-14T21:05:21.0366849Z function get_ec2_metadata() { 2025-08-14T21:05:21.0367214Z  # Pulled from instance metadata endpoint for EC2 2025-08-14T21:05:21.0367848Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-08-14T21:05:21.0368410Z  category=$1 2025-08-14T21:05:21.0368758Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-08-14T21:05:21.0369205Z  runner_name_str=i-04a61581104816429 2025-08-14T21:05:21.0369592Z  if [[ -f /.inarc ]]; then 2025-08-14T21:05:21.0369927Z  echo "ARC Runner, no info on ec2 metadata" 2025-08-14T21:05:21.0370313Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-08-14T21:05:21.0370777Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-08-14T21:05:21.0371200Z  else 2025-08-14T21:05:21.0372037Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-08-14T21:05:21.0372939Z  fi 2025-08-14T21:05:21.0373155Z } 2025-08-14T21:05:21.0373405Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-08-14T21:05:21.0373827Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-08-14T21:05:21.0374305Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-08-14T21:05:21.0374722Z echo "system info $(uname -a)" 2025-08-14T21:05:21.0382984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:21.0383366Z env: 2025-08-14T21:05:21.0383591Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:21.0383845Z ##[endgroup] 2025-08-14T21:05:21.0525205Z ami-id: ami-05ffe3c48a9991133 2025-08-14T21:05:21.0629777Z instance-id: i-04a61581104816429 2025-08-14T21:05:21.0730541Z instance-type: c5.4xlarge 2025-08-14T21:05:21.0740503Z system info Linux ip-10-0-40-36.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-08-14T21:05:21.0767760Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:05:21.0768708Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:05:21.0775626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:21.0776220Z env: 2025-08-14T21:05:21.0776451Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:21.0776718Z ##[endgroup] 2025-08-14T21:05:21.0830576Z ##[group]Run if systemctl is-active --quiet docker; then 2025-08-14T21:05:21.0831033Z if systemctl is-active --quiet docker; then 2025-08-14T21:05:21.0831424Z  echo "Docker daemon is running..."; 2025-08-14T21:05:21.0831742Z else 2025-08-14T21:05:21.0832098Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-08-14T21:05:21.0832527Z fi 2025-08-14T21:05:21.0837835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:21.0838201Z env: 2025-08-14T21:05:21.0838420Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:21.0838685Z ##[endgroup] 2025-08-14T21:05:21.0912516Z Docker daemon is running... 2025-08-14T21:05:21.0968335Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:05:21.0968676Z with: 2025-08-14T21:05:21.0968887Z shell: bash 2025-08-14T21:05:21.0969260Z timeout_minutes: 5 2025-08-14T21:05:21.0969514Z max_attempts: 3 2025-08-14T21:05:21.0969755Z retry_wait_seconds: 30 2025-08-14T21:05:21.0972001Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-08-14T21:05:21.0974278Z polling_interval_seconds: 1 2025-08-14T21:05:21.0974564Z warning_on_retry: true 2025-08-14T21:05:21.0974819Z continue_on_error: false 2025-08-14T21:05:21.0975086Z env: 2025-08-14T21:05:21.0975306Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:21.0975559Z AWS_RETRY_MODE: standard 2025-08-14T21:05:21.0975826Z AWS_MAX_ATTEMPTS: 5 2025-08-14T21:05:21.0976382Z AWS_DEFAULT_REGION: us-east-1 2025-08-14T21:05:21.0976647Z ##[endgroup] 2025-08-14T21:05:22.2799373Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:05:22.2800008Z Configure a credential helper to remove this warning. See 2025-08-14T21:05:22.2800573Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:05:22.2800974Z 2025-08-14T21:05:22.2801082Z Login Succeeded 2025-08-14T21:05:22.8175263Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:05:22.8176179Z Configure a credential helper to remove this warning. See 2025-08-14T21:05:22.8176836Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:05:22.8177309Z 2025-08-14T21:05:22.8177428Z Login Succeeded 2025-08-14T21:05:23.1821668Z Command completed after 1 attempt(s). 2025-08-14T21:05:23.1877496Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:05:23.1878041Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:05:23.1878510Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:05:23.1886812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:23.1887199Z env: 2025-08-14T21:05:23.1887421Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:23.1887674Z ##[endgroup] 2025-08-14T21:05:23.1974925Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:05:23.1975497Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T21:05:23.1975923Z # shellcheck disable=SC2046 2025-08-14T21:05:23.1976470Z docker stop $(docker ps -q) || true 2025-08-14T21:05:23.1976963Z # Prune all of the docker images 2025-08-14T21:05:23.1977307Z docker system prune -af 2025-08-14T21:05:23.1982867Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:23.1983237Z env: 2025-08-14T21:05:23.1983462Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:23.1983729Z ##[endgroup] 2025-08-14T21:05:23.2220096Z "docker stop" requires at least 1 argument. 2025-08-14T21:05:23.2220705Z See 'docker stop --help'. 2025-08-14T21:05:23.2221006Z 2025-08-14T21:05:23.2221278Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-08-14T21:05:23.2221767Z 2025-08-14T21:05:23.2221967Z Stop one or more running containers 2025-08-14T21:05:23.2368157Z Total reclaimed space: 0B 2025-08-14T21:05:23.2417528Z ##[group]Run set +e 2025-08-14T21:05:23.2417828Z set +e 2025-08-14T21:05:23.2418049Z set -x 2025-08-14T21:05:23.2418273Z  2025-08-14T21:05:23.2418518Z PT_DOMAIN=download.pytorch.org 2025-08-14T21:05:23.2419088Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-08-14T21:05:23.2420005Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-08-14T21:05:23.2420532Z # one is returned at random 2025-08-14T21:05:23.2420928Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-08-14T21:05:23.2421294Z  2025-08-14T21:05:23.2421530Z if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:05:23.2421957Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-08-14T21:05:23.2422468Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-08-14T21:05:23.2422863Z  2025-08-14T21:05:23.2423098Z  if [ -z "${RESOLVED_IP}" ]; then 2025-08-14T21:05:23.2423481Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-08-14T21:05:23.2423830Z  exit 1 2025-08-14T21:05:23.2424060Z  fi 2025-08-14T21:05:23.2424281Z fi 2025-08-14T21:05:23.2424473Z  2025-08-14T21:05:23.2424734Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-08-14T21:05:23.2425097Z  # Clean up any old records first 2025-08-14T21:05:23.2425446Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-08-14T21:05:23.2425879Z fi 2025-08-14T21:05:23.2426094Z  2025-08-14T21:05:23.2426393Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-08-14T21:05:23.2426795Z cat /etc/hosts 2025-08-14T21:05:23.2432514Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:23.2432892Z env: 2025-08-14T21:05:23.2433100Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:23.2433363Z ##[endgroup] 2025-08-14T21:05:23.2456179Z + PT_DOMAIN=download.pytorch.org 2025-08-14T21:05:23.2461324Z ++ dig -4 +short download.pytorch.org 2025-08-14T21:05:23.2462202Z ++ tail -n1 2025-08-14T21:05:23.2851935Z + RESOLVED_IP=18.160.10.36 2025-08-14T21:05:23.2852273Z + '[' -z 18.160.10.36 ']' 2025-08-14T21:05:23.2852580Z + grep -r download.pytorch.org /etc/hosts 2025-08-14T21:05:23.2866842Z + echo '18.160.10.36 download.pytorch.org' 2025-08-14T21:05:23.2867547Z + sudo tee -a /etc/hosts 2025-08-14T21:05:23.6535364Z 18.160.10.36 download.pytorch.org 2025-08-14T21:05:23.6551531Z + cat /etc/hosts 2025-08-14T21:05:23.6560635Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-08-14T21:05:23.6565905Z ::1 localhost6 localhost6.localdomain6 2025-08-14T21:05:23.6566288Z 18.160.10.36 download.pytorch.org 2025-08-14T21:05:23.6738354Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-08-14T21:05:23.6738846Z with: 2025-08-14T21:05:23.6739590Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6740428Z use-custom-docker-registry: true 2025-08-14T21:05:23.6740746Z docker-build-dir: .ci/docker 2025-08-14T21:05:23.6741199Z docker-build-script: ./build.sh 2025-08-14T21:05:23.6741489Z working-directory: . 2025-08-14T21:05:23.6741841Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:23.6742247Z force-push: false 2025-08-14T21:05:23.6742471Z env: 2025-08-14T21:05:23.6742688Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:23.6742947Z ##[endgroup] 2025-08-14T21:05:23.6766902Z ##[group]Run set -ex 2025-08-14T21:05:23.6767225Z set -ex 2025-08-14T21:05:23.6767453Z  2025-08-14T21:05:23.6767889Z # If the docker build directory or the build script doesn't exist, the action will 2025-08-14T21:05:23.6768548Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-08-14T21:05:23.6769103Z # job could then download the pre-built image as usual 2025-08-14T21:05:23.6769791Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-08-14T21:05:23.6770451Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6770771Z else 2025-08-14T21:05:23.6771030Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6771473Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6771876Z  2025-08-14T21:05:23.6772413Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-08-14T21:05:23.6773040Z  exit 0 2025-08-14T21:05:23.6773264Z fi 2025-08-14T21:05:23.6773462Z  2025-08-14T21:05:23.6773794Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-08-14T21:05:23.6774393Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-08-14T21:05:23.6774926Z  # use it as it is, but first let's extract the tag 2025-08-14T21:05:23.6775401Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-08-14T21:05:23.6775908Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6776644Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6777055Z else 2025-08-14T21:05:23.6777310Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-08-14T21:05:23.6777697Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-08-14T21:05:23.6778099Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-08-14T21:05:23.6778424Z  fi 2025-08-14T21:05:23.6778874Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-08-14T21:05:23.6779476Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6780110Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6780799Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6781225Z fi 2025-08-14T21:05:23.6788501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:23.6788873Z env: 2025-08-14T21:05:23.6789093Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:23.6789361Z REPO_NAME: pytorch 2025-08-14T21:05:23.6790290Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6791098Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:05:23.6791393Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-08-14T21:05:23.6791775Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:23.6792168Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-08-14T21:05:23.6792465Z CUSTOM_TAG_PREFIX: 2025-08-14T21:05:23.6792710Z ##[endgroup] 2025-08-14T21:05:23.6819053Z + [[ -d .ci/docker ]] 2025-08-14T21:05:23.6819512Z + [[ -f .ci/docker/./build.sh ]] 2025-08-14T21:05:23.6819792Z + [[ true == \t\r\u\e ]] 2025-08-14T21:05:23.6820048Z + echo skip=false 2025-08-14T21:05:23.6821139Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-08-14T21:05:23.6826713Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6827488Z ++ awk -F '[:,]' '{print $2}' 2025-08-14T21:05:23.6847804Z + DOCKER_TAG=pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6848597Z + echo docker-tag=pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6849663Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6876817Z ##[group]Run set +e 2025-08-14T21:05:23.6877131Z set +e 2025-08-14T21:05:23.6877365Z set -x 2025-08-14T21:05:23.6877586Z  2025-08-14T21:05:23.6877782Z login() { 2025-08-14T21:05:23.6878259Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:05:23.6878781Z } 2025-08-14T21:05:23.6878975Z  2025-08-14T21:05:23.6879199Z retry () { 2025-08-14T21:05:23.6879471Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:05:23.6879774Z } 2025-08-14T21:05:23.6879981Z  2025-08-14T21:05:23.6880212Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:05:23.6880512Z  2025-08-14T21:05:23.6880717Z START_TIME=$(date +%s) 2025-08-14T21:05:23.6881010Z # Wait up to 120 minutes 2025-08-14T21:05:23.6881380Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-08-14T21:05:23.6881857Z  # Check if image already exists, if it does then skip building it 2025-08-14T21:05:23.6882349Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-08-14T21:05:23.6882713Z  exit 0 2025-08-14T21:05:23.6882936Z  fi 2025-08-14T21:05:23.6883150Z  2025-08-14T21:05:23.6883535Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-08-14T21:05:23.6884197Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-08-14T21:05:23.6884843Z  # latter, it will wait for the Docker images to become available before continuing 2025-08-14T21:05:23.6885361Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-08-14T21:05:23.6885762Z  # It's a Docker build job, let's build the image 2025-08-14T21:05:23.6886111Z  break 2025-08-14T21:05:23.6886337Z  else 2025-08-14T21:05:23.6886676Z  # It's a regular build job, wait for the image to become available 2025-08-14T21:05:23.6887090Z  sleep 300 2025-08-14T21:05:23.6887325Z  fi 2025-08-14T21:05:23.6887543Z done 2025-08-14T21:05:23.6887757Z  2025-08-14T21:05:23.6888094Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-08-14T21:05:23.6888662Z # be empty. The default action would be to continue rebuild the image 2025-08-14T21:05:23.6889310Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-08-14T21:05:23.6889776Z  # if we're on the base branch then use the parent commit 2025-08-14T21:05:23.6890170Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-08-14T21:05:23.6890488Z else 2025-08-14T21:05:23.6890816Z  # otherwise we're on a PR, so use the most recent base commit 2025-08-14T21:05:23.6891367Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-08-14T21:05:23.6891733Z fi 2025-08-14T21:05:23.6891950Z  2025-08-14T21:05:23.6892183Z if [[ -z "${MERGE_BASE}" ]]; then 2025-08-14T21:05:23.6892531Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6892861Z  2025-08-14T21:05:23.6893325Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-08-14T21:05:23.6893853Z  exit 0 2025-08-14T21:05:23.6894073Z fi 2025-08-14T21:05:23.6894287Z  2025-08-14T21:05:23.6894579Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-08-14T21:05:23.6895249Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-08-14T21:05:23.6895823Z  exit 1 2025-08-14T21:05:23.6896045Z fi 2025-08-14T21:05:23.6896238Z  2025-08-14T21:05:23.6896599Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-08-14T21:05:23.6897252Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-08-14T21:05:23.6897832Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-08-14T21:05:23.6898491Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-08-14T21:05:23.6899257Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-08-14T21:05:23.6899707Z fi 2025-08-14T21:05:23.6899903Z  2025-08-14T21:05:23.6900162Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-08-14T21:05:23.6905893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:23.6906277Z env: 2025-08-14T21:05:23.6906482Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:23.6906762Z DOCKER_BUILD_DIR: .ci/docker 2025-08-14T21:05:23.6907116Z BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:05:23.6907957Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6908975Z DOCKER_TAG: pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:23.6909597Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:23.6909982Z DOCKER_PUSH: 2025-08-14T21:05:23.6910199Z ##[endgroup] 2025-08-14T21:05:23.6932426Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:23.6932859Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:23.6935238Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:05:23.6936516Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:24.2410470Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:05:24.2411152Z Configure a credential helper to remove this warning. See 2025-08-14T21:05:24.2411713Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:05:24.2412109Z 2025-08-14T21:05:24.2412213Z Login Succeeded 2025-08-14T21:05:24.2425943Z ++ date +%s 2025-08-14T21:05:24.2434551Z + START_TIME=1755205524 2025-08-14T21:05:24.2437623Z ++ date +%s 2025-08-14T21:05:24.2445742Z + [[ 1755198324 -lt 1755205524 ]] 2025-08-14T21:05:24.2446838Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:24.4511037Z { 2025-08-14T21:05:24.4511450Z "schemaVersion": 2, 2025-08-14T21:05:24.4512141Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-08-14T21:05:24.4512810Z "config": { 2025-08-14T21:05:24.4513305Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-08-14T21:05:24.4514349Z "size": 30028, 2025-08-14T21:05:24.4515069Z "digest": "sha256:d23aa400d15c13cf4cd8d85388ce0304ef46d5163b945cf305903ce37fa5c8ba" 2025-08-14T21:05:24.4515915Z }, 2025-08-14T21:05:24.4516267Z "layers": [ 2025-08-14T21:05:24.4516647Z { 2025-08-14T21:05:24.4517263Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4517901Z "size": 30448173, 2025-08-14T21:05:24.4518556Z "digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495" 2025-08-14T21:05:24.4519460Z }, 2025-08-14T21:05:24.4519747Z { 2025-08-14T21:05:24.4520299Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4520931Z "size": 1554, 2025-08-14T21:05:24.4521596Z "digest": "sha256:a7ac6822069caec96042d8957a65289c4aaae3ce024ea77fc19125134222c906" 2025-08-14T21:05:24.4522317Z }, 2025-08-14T21:05:24.4522607Z { 2025-08-14T21:05:24.4523088Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4523808Z "size": 344010930, 2025-08-14T21:05:24.4524471Z "digest": "sha256:31f42505d41a2353752a9e5c6085593893fe632bd6d5f0e13b6895536742f09e" 2025-08-14T21:05:24.4525195Z }, 2025-08-14T21:05:24.4525461Z { 2025-08-14T21:05:24.4525917Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4526508Z "size": 792, 2025-08-14T21:05:24.4527184Z "digest": "sha256:fed7b1c3e821e3e8bef41e41ce3164d16987e2e0d33c4127d4100594b9dd2687" 2025-08-14T21:05:24.4527937Z }, 2025-08-14T21:05:24.4528208Z { 2025-08-14T21:05:24.4528682Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4529431Z "size": 63270240, 2025-08-14T21:05:24.4530165Z "digest": "sha256:f6ff1c4ec221178e5d3a1c3f8b7bdf762de8a1d29731355af55f27ebe795cc4e" 2025-08-14T21:05:24.4530786Z }, 2025-08-14T21:05:24.4530982Z { 2025-08-14T21:05:24.4531306Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4531707Z "size": 703, 2025-08-14T21:05:24.4532140Z "digest": "sha256:2b3c95d5bdd39ee79b574df645dfcd7ac6917222169adeebf7ac42fce49a5535" 2025-08-14T21:05:24.4532621Z }, 2025-08-14T21:05:24.4532810Z { 2025-08-14T21:05:24.4533190Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4533616Z "size": 1216, 2025-08-14T21:05:24.4534034Z "digest": "sha256:64e5c40daf9a2cc7a0a45edc6a37fd73e10828770566c0ce18ccce248930582b" 2025-08-14T21:05:24.4534514Z }, 2025-08-14T21:05:24.4534791Z + exit 0 2025-08-14T21:05:24.4534995Z { 2025-08-14T21:05:24.4535329Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4535735Z "size": 485, 2025-08-14T21:05:24.4536137Z "digest": "sha256:0113773a5bba945392117fe6f1ce1639b494ad413153aee3a4175f0338a1e670" 2025-08-14T21:05:24.4536594Z }, 2025-08-14T21:05:24.4536775Z { 2025-08-14T21:05:24.4537099Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4537511Z "size": 110, 2025-08-14T21:05:24.4537902Z "digest": "sha256:12513ab032b131b81d647b005dd6702e4950fd0da0b30943760c9d7b12235e73" 2025-08-14T21:05:24.4538356Z }, 2025-08-14T21:05:24.4538546Z { 2025-08-14T21:05:24.4538868Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4539265Z "size": 4815, 2025-08-14T21:05:24.4539668Z "digest": "sha256:72da40fd831c2a5980b90e246509a532235c88063058f4e6bf25cc9fa1f59909" 2025-08-14T21:05:24.4540130Z }, 2025-08-14T21:05:24.4540307Z { 2025-08-14T21:05:24.4540820Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4541235Z "size": 1709, 2025-08-14T21:05:24.4541629Z "digest": "sha256:4ea4b6ca480fcc608459588da7b42903d3c15da73c9381f8426c4dbf72edfab9" 2025-08-14T21:05:24.4542094Z }, 2025-08-14T21:05:24.4542285Z { 2025-08-14T21:05:24.4542595Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4543008Z "size": 724, 2025-08-14T21:05:24.4543410Z "digest": "sha256:dea7b5130129251d8c5bb14ac048a6f027264dbdcdd03651891761d87685e53a" 2025-08-14T21:05:24.4543955Z }, 2025-08-14T21:05:24.4544133Z { 2025-08-14T21:05:24.4544455Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4544867Z "size": 544, 2025-08-14T21:05:24.4545252Z "digest": "sha256:7a90440a78c715f3141e096cef08261954b3b1214bea44ad60d2181aa295e80e" 2025-08-14T21:05:24.4545806Z }, 2025-08-14T21:05:24.4546006Z { 2025-08-14T21:05:24.4546319Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4546742Z "size": 3413274379, 2025-08-14T21:05:24.4547162Z "digest": "sha256:258d086c634751eda76b8816242e5e1736799beb04134d98aefd4ee1e6c977e5" 2025-08-14T21:05:24.4547611Z }, 2025-08-14T21:05:24.4547800Z { 2025-08-14T21:05:24.4548122Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4548519Z "size": 32, 2025-08-14T21:05:24.4548928Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4549406Z }, 2025-08-14T21:05:24.4549596Z { 2025-08-14T21:05:24.4549906Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4550317Z "size": 380, 2025-08-14T21:05:24.4550730Z "digest": "sha256:ab642c9771e0c3cec01eec67e941d90fb7d57f95cc4dd59889650fef4b05fe51" 2025-08-14T21:05:24.4551197Z }, 2025-08-14T21:05:24.4551394Z { 2025-08-14T21:05:24.4551722Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4552124Z "size": 104, 2025-08-14T21:05:24.4552543Z "digest": "sha256:d947308ec6c0d28b9461b6d64e5dc8315bbd5f7d83f3cee4f160fc540363319d" 2025-08-14T21:05:24.4553018Z }, 2025-08-14T21:05:24.4553196Z { 2025-08-14T21:05:24.4553525Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4553939Z "size": 231, 2025-08-14T21:05:24.4554323Z "digest": "sha256:82f3234546b3705a5e26a787704bc6fa37a7351775b5c35af1c67119cc4e8ed1" 2025-08-14T21:05:24.4554794Z }, 2025-08-14T21:05:24.4554990Z { 2025-08-14T21:05:24.4555316Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4555718Z "size": 4471227, 2025-08-14T21:05:24.4556139Z "digest": "sha256:960d25169df1ec94f5ea2a9b0a45932b3d66f6fd5cfafdf5fedd9713be814e68" 2025-08-14T21:05:24.4556613Z }, 2025-08-14T21:05:24.4556793Z { 2025-08-14T21:05:24.4557113Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4557528Z "size": 1865, 2025-08-14T21:05:24.4557944Z "digest": "sha256:dbc40137a811a78e5fbff8c78efdacc64ff64cb04fead9e6fb158114eb04f843" 2025-08-14T21:05:24.4558428Z }, 2025-08-14T21:05:24.4558617Z { 2025-08-14T21:05:24.4558922Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4559329Z "size": 474, 2025-08-14T21:05:24.4559732Z "digest": "sha256:28d6214975c0e902a8c23bfed222d2af03ba240e0770acea8164574de1e95104" 2025-08-14T21:05:24.4560198Z }, 2025-08-14T21:05:24.4560374Z { 2025-08-14T21:05:24.4560704Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4561112Z "size": 180, 2025-08-14T21:05:24.4561501Z "digest": "sha256:e75d4694ae82145ea39aa5242eb65d2e0521ac92b9770962de3ea621b5b2c84f" 2025-08-14T21:05:24.4561969Z }, 2025-08-14T21:05:24.4562158Z { 2025-08-14T21:05:24.4562467Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4562880Z "size": 588, 2025-08-14T21:05:24.4563283Z "digest": "sha256:c8fd1f66c221df9208161629f45fa085f7c862c66bd002f87307ccd67014f957" 2025-08-14T21:05:24.4563836Z }, 2025-08-14T21:05:24.4564034Z { 2025-08-14T21:05:24.4564357Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4564757Z "size": 216, 2025-08-14T21:05:24.4565178Z "digest": "sha256:73a036f4a5d46a3ea0eacedd50f504fcfdfec33b5bb5cf727d869a39c29ff773" 2025-08-14T21:05:24.4565658Z }, 2025-08-14T21:05:24.4565848Z { 2025-08-14T21:05:24.4566157Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4566643Z "size": 802, 2025-08-14T21:05:24.4567040Z "digest": "sha256:92c311949fb19b00cf3012064cfa52fb9523b695ea9bd1097d2d80a864392950" 2025-08-14T21:05:24.4567490Z }, 2025-08-14T21:05:24.4567689Z { 2025-08-14T21:05:24.4568021Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4568424Z "size": 32, 2025-08-14T21:05:24.4568834Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4569306Z }, 2025-08-14T21:05:24.4569490Z { 2025-08-14T21:05:24.4569811Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4570221Z "size": 104, 2025-08-14T21:05:24.4570613Z "digest": "sha256:29f6cfbe4c15614f018f6d96382ff74d418732d3e20d75e959e72fca50a41737" 2025-08-14T21:05:24.4571079Z }, 2025-08-14T21:05:24.4571271Z { 2025-08-14T21:05:24.4571592Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4571993Z "size": 1495, 2025-08-14T21:05:24.4572407Z "digest": "sha256:fb6c7ee8061ba8fdb53053995dec141561f1bcc5191451eab86cfaed803aae5e" 2025-08-14T21:05:24.4572880Z }, 2025-08-14T21:05:24.4573060Z { 2025-08-14T21:05:24.4573381Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4573791Z "size": 453599588, 2025-08-14T21:05:24.4574205Z "digest": "sha256:0302c90f502f64f4beefbf5e6c5a7bea796132edfc625e59170c900f2f3c3c46" 2025-08-14T21:05:24.4574676Z }, 2025-08-14T21:05:24.4574867Z { 2025-08-14T21:05:24.4575185Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4575593Z "size": 162, 2025-08-14T21:05:24.4576242Z "digest": "sha256:3ca1010f3846e2ca51739f8316ab11037041d4b29ea88629719521b5b5023fc8" 2025-08-14T21:05:24.4576709Z }, 2025-08-14T21:05:24.4576885Z { 2025-08-14T21:05:24.4577209Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4577622Z "size": 346, 2025-08-14T21:05:24.4578009Z "digest": "sha256:072215d97c7217101bcd70048223f7a93ae09f9b810871e529e40d22f01e6807" 2025-08-14T21:05:24.4578462Z }, 2025-08-14T21:05:24.4578652Z { 2025-08-14T21:05:24.4578964Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4579374Z "size": 32, 2025-08-14T21:05:24.4579783Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4580241Z }, 2025-08-14T21:05:24.4580430Z { 2025-08-14T21:05:24.4580766Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4581168Z "size": 106, 2025-08-14T21:05:24.4581577Z "digest": "sha256:51a8de8f5ab294b599a7b55c3b99a2049a38ae2f832f884202342e9c63e19942" 2025-08-14T21:05:24.4582046Z }, 2025-08-14T21:05:24.4582238Z { 2025-08-14T21:05:24.4582549Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4582958Z "size": 425, 2025-08-14T21:05:24.4583354Z "digest": "sha256:8a649a6063cf13e79f65646076068343212dde81b100c4380bd068bcaa3c7df7" 2025-08-14T21:05:24.4583806Z }, 2025-08-14T21:05:24.4583996Z { 2025-08-14T21:05:24.4584317Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4584731Z "size": 19308727, 2025-08-14T21:05:24.4585151Z "digest": "sha256:6f5614ef0259d1bbe7d4f97052a6f40e4d37990e0f477dac34012f898ae80873" 2025-08-14T21:05:24.4585619Z }, 2025-08-14T21:05:24.4585875Z { 2025-08-14T21:05:24.4586206Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4586781Z "size": 108, 2025-08-14T21:05:24.4587180Z "digest": "sha256:5c0a31477213b62443cc9026dc57bf014fad39a0b66e01d61c6d9df5ebb25726" 2025-08-14T21:05:24.4587648Z }, 2025-08-14T21:05:24.4587846Z { 2025-08-14T21:05:24.4588178Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4588581Z "size": 690, 2025-08-14T21:05:24.4589015Z "digest": "sha256:b9bc257d5af6c267bc6fdd1bad9abc4f7fabcccda535a3a627d44ecb54bb2dfa" 2025-08-14T21:05:24.4589638Z }, 2025-08-14T21:05:24.4589820Z { 2025-08-14T21:05:24.4590148Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4590562Z "size": 724, 2025-08-14T21:05:24.4590956Z "digest": "sha256:dea7b5130129251d8c5bb14ac048a6f027264dbdcdd03651891761d87685e53a" 2025-08-14T21:05:24.4591427Z }, 2025-08-14T21:05:24.4591617Z { 2025-08-14T21:05:24.4591931Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4592341Z "size": 116, 2025-08-14T21:05:24.4592745Z "digest": "sha256:4a977d8955e62024a507480087c7cbac9c4e01c734eba10d6f9bf040a49bb818" 2025-08-14T21:05:24.4593214Z }, 2025-08-14T21:05:24.4593390Z { 2025-08-14T21:05:24.4593712Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4594120Z "size": 136, 2025-08-14T21:05:24.4594515Z "digest": "sha256:32a65e5a5d0db540f3e57068da59ae582585dc588ea95c758966e630c8319d03" 2025-08-14T21:05:24.4594986Z }, 2025-08-14T21:05:24.4595178Z { 2025-08-14T21:05:24.4595485Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4595894Z "size": 139, 2025-08-14T21:05:24.4596294Z "digest": "sha256:88b9c7fbb7f5f39b198b130924a97b017c3c82725d13ad2d964a2946d5ba83a2" 2025-08-14T21:05:24.4596745Z }, 2025-08-14T21:05:24.4596934Z { 2025-08-14T21:05:24.4597260Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4597659Z "size": 32, 2025-08-14T21:05:24.4598073Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4598550Z }, 2025-08-14T21:05:24.4598743Z { 2025-08-14T21:05:24.4599054Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4599464Z "size": 213, 2025-08-14T21:05:24.4599871Z "digest": "sha256:ad0aa3946f36d020f8d2864a1d4e9ba463b002d39ae15705a41841b83ee4d863" 2025-08-14T21:05:24.4600327Z }, 2025-08-14T21:05:24.4600526Z { 2025-08-14T21:05:24.4600852Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4601253Z "size": 116, 2025-08-14T21:05:24.4601663Z "digest": "sha256:f78553d91b8dcf53a14ad8052e0ee741f163eb2ce7aefc87ece17d73c9c3b8b5" 2025-08-14T21:05:24.4602138Z }, 2025-08-14T21:05:24.4602319Z { 2025-08-14T21:05:24.4602644Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4603056Z "size": 32, 2025-08-14T21:05:24.4603457Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4603934Z }, 2025-08-14T21:05:24.4604125Z { 2025-08-14T21:05:24.4604450Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4604848Z "size": 129, 2025-08-14T21:05:24.4605241Z "digest": "sha256:0b7ea6453230c95e8482287979b908247e9237fe2c1ac1068653663574a30225" 2025-08-14T21:05:24.4605694Z }, 2025-08-14T21:05:24.4605872Z { 2025-08-14T21:05:24.4606197Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4606611Z "size": 778, 2025-08-14T21:05:24.4606996Z "digest": "sha256:8330e7ea1b2046880544396142a3f3f9cee7f91af0af0109606fc7539ed1c848" 2025-08-14T21:05:24.4607456Z }, 2025-08-14T21:05:24.4607647Z { 2025-08-14T21:05:24.4607957Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4608365Z "size": 724, 2025-08-14T21:05:24.4608763Z "digest": "sha256:dea7b5130129251d8c5bb14ac048a6f027264dbdcdd03651891761d87685e53a" 2025-08-14T21:05:24.4609230Z }, 2025-08-14T21:05:24.4609498Z { 2025-08-14T21:05:24.4609827Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4610238Z "size": 140, 2025-08-14T21:05:24.4610631Z "digest": "sha256:e7aff2fc4378d40887e775a21e67a29e1759f08c2db2a3d1c0e0a9f5549f25a7" 2025-08-14T21:05:24.4611105Z }, 2025-08-14T21:05:24.4611297Z { 2025-08-14T21:05:24.4611606Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4612090Z "size": 32, 2025-08-14T21:05:24.4612495Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4612955Z }, 2025-08-14T21:05:24.4613149Z { 2025-08-14T21:05:24.4613471Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4613871Z "size": 160, 2025-08-14T21:05:24.4614272Z "digest": "sha256:667e6862828201f780ea912992e616aa880bb1c90331ac2771faeaffd217a2a1" 2025-08-14T21:05:24.4614734Z }, 2025-08-14T21:05:24.4614928Z { 2025-08-14T21:05:24.4615251Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4615669Z "size": 1012, 2025-08-14T21:05:24.4616086Z "digest": "sha256:8b05e09cad0d98b3d86cb31d29df459fe80b5d31edab5002e509b74e3873739c" 2025-08-14T21:05:24.4616548Z }, 2025-08-14T21:05:24.4616738Z { 2025-08-14T21:05:24.4617059Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4617461Z "size": 724, 2025-08-14T21:05:24.4617860Z "digest": "sha256:dea7b5130129251d8c5bb14ac048a6f027264dbdcdd03651891761d87685e53a" 2025-08-14T21:05:24.4618323Z }, 2025-08-14T21:05:24.4618500Z { 2025-08-14T21:05:24.4618821Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4619231Z "size": 135, 2025-08-14T21:05:24.4619626Z "digest": "sha256:a20271f3e13588a2de4d699e92e5fc511a9278a421f3da5afd55fd2dadfdbd3a" 2025-08-14T21:05:24.4620098Z }, 2025-08-14T21:05:24.4620297Z { 2025-08-14T21:05:24.4620623Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4621025Z "size": 32, 2025-08-14T21:05:24.4621442Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4621918Z }, 2025-08-14T21:05:24.4622099Z { 2025-08-14T21:05:24.4622426Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4622841Z "size": 158, 2025-08-14T21:05:24.4623251Z "digest": "sha256:6de635554f5bedb7dc7495fd3ca61fa1aaf871cd4e3b05a35fde30730461ada5" 2025-08-14T21:05:24.4623736Z }, 2025-08-14T21:05:24.4623937Z { 2025-08-14T21:05:24.4624251Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4624666Z "size": 1371, 2025-08-14T21:05:24.4625074Z "digest": "sha256:2327901bebfd55b72911728ecfd4e8cb08afe8b29996d781ebf01b8390054e44" 2025-08-14T21:05:24.4625543Z }, 2025-08-14T21:05:24.4625805Z { 2025-08-14T21:05:24.4626137Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4640692Z "size": 32, 2025-08-14T21:05:24.4641137Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4641611Z }, 2025-08-14T21:05:24.4641805Z { 2025-08-14T21:05:24.4642137Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4642542Z "size": 137, 2025-08-14T21:05:24.4642965Z "digest": "sha256:0e1acd221de3cc47d23da8c5d8a7d1e977ef4292ec9c7f281fe5a5f1d64e7bd9" 2025-08-14T21:05:24.4643454Z }, 2025-08-14T21:05:24.4643645Z { 2025-08-14T21:05:24.4643958Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4644370Z "size": 381, 2025-08-14T21:05:24.4644782Z "digest": "sha256:883fad14abaf565a7b093b782bd849cd24c6660c8c07d9ef1a11e01088c5f0d7" 2025-08-14T21:05:24.4645239Z }, 2025-08-14T21:05:24.4645428Z { 2025-08-14T21:05:24.4645749Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4646148Z "size": 32, 2025-08-14T21:05:24.4646699Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4647177Z }, 2025-08-14T21:05:24.4647354Z { 2025-08-14T21:05:24.4647679Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4648093Z "size": 104, 2025-08-14T21:05:24.4648491Z "digest": "sha256:3cdf0c0557b941570c917e86e4d1e470d60032963d1b76062c30b4f1156fc758" 2025-08-14T21:05:24.4649023Z }, 2025-08-14T21:05:24.4649215Z { 2025-08-14T21:05:24.4649540Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4649939Z "size": 408, 2025-08-14T21:05:24.4650349Z "digest": "sha256:49f35c818257f5545e2b3372c00bca591efedc9b05e5cf8ea6b7d62407496c1f" 2025-08-14T21:05:24.4650818Z }, 2025-08-14T21:05:24.4650995Z { 2025-08-14T21:05:24.4651317Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4651727Z "size": 32, 2025-08-14T21:05:24.4652127Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4652597Z }, 2025-08-14T21:05:24.4652787Z { 2025-08-14T21:05:24.4653095Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4653506Z "size": 109, 2025-08-14T21:05:24.4653918Z "digest": "sha256:d7a2ef6024dcdbae3e781f757c4f3599f0db121c128604a47afb78f1093b6649" 2025-08-14T21:05:24.4654389Z }, 2025-08-14T21:05:24.4654573Z { 2025-08-14T21:05:24.4654897Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4655310Z "size": 1897, 2025-08-14T21:05:24.4655707Z "digest": "sha256:e069f49d0a3523173c0e6e8ea5a81d8d4a3bdfe609314b500bbf36103c03d81b" 2025-08-14T21:05:24.4656177Z }, 2025-08-14T21:05:24.4656368Z { 2025-08-14T21:05:24.4656679Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4657091Z "size": 242602026, 2025-08-14T21:05:24.4657516Z "digest": "sha256:c5150ca5ac67725ab2236b5f7a9745838c31a44677d136ca91ebe0377b60cf5e" 2025-08-14T21:05:24.4657973Z }, 2025-08-14T21:05:24.4658162Z { 2025-08-14T21:05:24.4658482Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4658883Z "size": 106, 2025-08-14T21:05:24.4659287Z "digest": "sha256:bebe10ca43f6318912ad558760fa4414a890e6a2589e4c5c7e61fbd1b4b78a01" 2025-08-14T21:05:24.4659754Z }, 2025-08-14T21:05:24.4659944Z { 2025-08-14T21:05:24.4660256Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4660662Z "size": 165, 2025-08-14T21:05:24.4661063Z "digest": "sha256:adc4a16c409d97bc4e93280336e24564b7d494342ce8d1dc7861f721bdacb921" 2025-08-14T21:05:24.4661517Z }, 2025-08-14T21:05:24.4661708Z { 2025-08-14T21:05:24.4662028Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4662427Z "size": 7943, 2025-08-14T21:05:24.4662833Z "digest": "sha256:b7028bbd1f0eec067553ade80e9a6ee43634423f2921e8c031290e00b5e83002" 2025-08-14T21:05:24.4663310Z }, 2025-08-14T21:05:24.4663485Z { 2025-08-14T21:05:24.4663805Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4664211Z "size": 8073, 2025-08-14T21:05:24.4664617Z "digest": "sha256:53acff155ed940723ac8c626fe629e503d762c950eb9e5f8632e9e266da11e65" 2025-08-14T21:05:24.4665070Z }, 2025-08-14T21:05:24.4665257Z { 2025-08-14T21:05:24.4665577Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4666080Z "size": 304, 2025-08-14T21:05:24.4666491Z "digest": "sha256:dee80f9872f35c35c7c6d0ea6256cd4ba23031fab6a56ff10e4351f4ab21c0e4" 2025-08-14T21:05:24.4666971Z }, 2025-08-14T21:05:24.4667147Z { 2025-08-14T21:05:24.4667468Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4667876Z "size": 32, 2025-08-14T21:05:24.4668270Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4668746Z }, 2025-08-14T21:05:24.4668936Z { 2025-08-14T21:05:24.4669343Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4669759Z "size": 108, 2025-08-14T21:05:24.4670168Z "digest": "sha256:a254ee8e69154845b968df80ab4d75eb4a88fd7042dec8dbf39b0c981e4dd20a" 2025-08-14T21:05:24.4670646Z }, 2025-08-14T21:05:24.4670827Z { 2025-08-14T21:05:24.4671152Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4671638Z "size": 54145660, 2025-08-14T21:05:24.4672060Z "digest": "sha256:e7bcb72e6b9e10c8e2f101145bd6d1b6ca9bebfdb042a7199218aa2ee2e3a725" 2025-08-14T21:05:24.4672541Z }, 2025-08-14T21:05:24.4672731Z { 2025-08-14T21:05:24.4673043Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-08-14T21:05:24.4673457Z "size": 32, 2025-08-14T21:05:24.4673871Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-08-14T21:05:24.4674333Z } 2025-08-14T21:05:24.4674523Z ] 2025-08-14T21:05:24.4674709Z } 2025-08-14T21:05:24.4704812Z ##[group]Run set -eux 2025-08-14T21:05:24.4705102Z set -eux 2025-08-14T21:05:24.4706055Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-08-14T21:05:24.4713501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:24.4713888Z env: 2025-08-14T21:05:24.4714116Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:24.4714388Z ##[endgroup] 2025-08-14T21:05:24.4741193Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-08-14T21:05:24.4741727Z + jq --raw-output .SecretString 2025-08-14T21:05:24.4742852Z + jq -r .docker_hub_readonly_token 2025-08-14T21:05:24.4743976Z + docker login --username pytorchbot --password-stdin 2025-08-14T21:05:25.0497809Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:05:25.0498503Z Configure a credential helper to remove this warning. See 2025-08-14T21:05:25.0499090Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:05:25.0499476Z 2025-08-14T21:05:25.0499608Z Login Succeeded 2025-08-14T21:05:25.0585632Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:05:25.0586120Z tag=${ECR_DOCKER_IMAGE##*:} 2025-08-14T21:05:25.0586507Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-08-14T21:05:25.0592357Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:25.0592735Z env: 2025-08-14T21:05:25.0592939Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:25.0593709Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.0594507Z ##[endgroup] 2025-08-14T21:05:25.0619484Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.0680212Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-08-14T21:05:25.0680656Z with: 2025-08-14T21:05:25.0681369Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.0682251Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:25.0682642Z env: 2025-08-14T21:05:25.0682870Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:25.0683115Z ##[endgroup] 2025-08-14T21:05:25.0701146Z ##[group]Run set -x 2025-08-14T21:05:25.0701424Z set -x 2025-08-14T21:05:25.0701653Z set +e 2025-08-14T21:05:25.0701871Z  2025-08-14T21:05:25.0702067Z login() { 2025-08-14T21:05:25.0702543Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-08-14T21:05:25.0703063Z } 2025-08-14T21:05:25.0703257Z  2025-08-14T21:05:25.0703516Z retry () { 2025-08-14T21:05:25.0703778Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-08-14T21:05:25.0704089Z } 2025-08-14T21:05:25.0704292Z  2025-08-14T21:05:25.0704524Z retry login "${DOCKER_REGISTRY}" 2025-08-14T21:05:25.0704818Z  2025-08-14T21:05:25.0705298Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-08-14T21:05:25.0706211Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-08-14T21:05:25.0706573Z  2025-08-14T21:05:25.0706786Z set -e 2025-08-14T21:05:25.0707130Z # ignore output since only exit code is used for conditional 2025-08-14T21:05:25.0707624Z # only pull docker image if it's not available locally 2025-08-14T21:05:25.0708153Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-08-14T21:05:25.0708658Z  retry docker pull "${DOCKER_IMAGE}" 2025-08-14T21:05:25.0708980Z fi 2025-08-14T21:05:25.0714482Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:05:25.0714859Z env: 2025-08-14T21:05:25.0715081Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:05:25.0715830Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.0716718Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:25.0717123Z ##[endgroup] 2025-08-14T21:05:25.0738644Z + set +e 2025-08-14T21:05:25.0739291Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:25.0739774Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:25.0742032Z + aws ecr get-login-password --region us-east-1 2025-08-14T21:05:25.0743032Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-08-14T21:05:25.6160136Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-08-14T21:05:25.6160782Z Configure a credential helper to remove this warning. See 2025-08-14T21:05:25.6161351Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-08-14T21:05:25.6161761Z 2025-08-14T21:05:25.6161898Z Login Succeeded 2025-08-14T21:05:25.6180986Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.6182045Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-08-14T21:05:25.8794789Z + IMAGE_SIZE=4410.942840576172 2025-08-14T21:05:25.8795267Z Compressed size of image in MB: 4410.942840576172 2025-08-14T21:05:25.8795703Z + echo 'Compressed size of image in MB: 4410.942840576172' 2025-08-14T21:05:25.8796070Z + set -e 2025-08-14T21:05:25.8797112Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.8912434Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:25.8913744Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:05:26.1474319Z pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image 2025-08-14T21:05:26.1475746Z 660ffc76f83b: Pulling fs layer 2025-08-14T21:05:26.1476426Z a7ac6822069c: Pulling fs layer 2025-08-14T21:05:26.1476890Z 31f42505d41a: Pulling fs layer 2025-08-14T21:05:26.1477395Z fed7b1c3e821: Pulling fs layer 2025-08-14T21:05:26.1478204Z f6ff1c4ec221: Pulling fs layer 2025-08-14T21:05:26.1478711Z 2b3c95d5bdd3: Pulling fs layer 2025-08-14T21:05:26.1479217Z 64e5c40daf9a: Pulling fs layer 2025-08-14T21:05:26.1479729Z 0113773a5bba: Pulling fs layer 2025-08-14T21:05:26.1480243Z 12513ab032b1: Pulling fs layer 2025-08-14T21:05:26.1480767Z 72da40fd831c: Pulling fs layer 2025-08-14T21:05:26.1481257Z 4ea4b6ca480f: Pulling fs layer 2025-08-14T21:05:26.1481774Z dea7b5130129: Pulling fs layer 2025-08-14T21:05:26.1482288Z 7a90440a78c7: Pulling fs layer 2025-08-14T21:05:26.1482755Z 258d086c6347: Pulling fs layer 2025-08-14T21:05:26.1483230Z f6ff1c4ec221: Waiting 2025-08-14T21:05:26.1483686Z 4f4fb700ef54: Pulling fs layer 2025-08-14T21:05:26.1484433Z ab642c9771e0: Pulling fs layer 2025-08-14T21:05:26.1484859Z 64e5c40daf9a: Waiting 2025-08-14T21:05:26.1485118Z d947308ec6c0: Pulling fs layer 2025-08-14T21:05:26.1485385Z 82f3234546b3: Pulling fs layer 2025-08-14T21:05:26.1485665Z 960d25169df1: Pulling fs layer 2025-08-14T21:05:26.1485938Z 0113773a5bba: Waiting 2025-08-14T21:05:26.1486189Z dbc40137a811: Pulling fs layer 2025-08-14T21:05:26.1486456Z 28d6214975c0: Pulling fs layer 2025-08-14T21:05:26.1486738Z e75d4694ae82: Pulling fs layer 2025-08-14T21:05:26.1487017Z 2b3c95d5bdd3: Waiting 2025-08-14T21:05:26.1487257Z c8fd1f66c221: Pulling fs layer 2025-08-14T21:05:26.1487541Z 73a036f4a5d4: Pulling fs layer 2025-08-14T21:05:26.1487856Z 7a90440a78c7: Waiting 2025-08-14T21:05:26.1488103Z 92c311949fb1: Pulling fs layer 2025-08-14T21:05:26.1488371Z 29f6cfbe4c15: Pulling fs layer 2025-08-14T21:05:26.1488656Z fb6c7ee8061b: Pulling fs layer 2025-08-14T21:05:26.1488935Z 0302c90f502f: Pulling fs layer 2025-08-14T21:05:26.1489189Z 4ea4b6ca480f: Waiting 2025-08-14T21:05:26.1489446Z 3ca1010f3846: Pulling fs layer 2025-08-14T21:05:26.1489717Z 072215d97c72: Pulling fs layer 2025-08-14T21:05:26.1489970Z 29f6cfbe4c15: Waiting 2025-08-14T21:05:26.1490216Z 51a8de8f5ab2: Pulling fs layer 2025-08-14T21:05:26.1490479Z 92c311949fb1: Waiting 2025-08-14T21:05:26.1490701Z fb6c7ee8061b: Waiting 2025-08-14T21:05:26.1491120Z 072215d97c72: Waiting 2025-08-14T21:05:26.1491357Z 0302c90f502f: Waiting 2025-08-14T21:05:26.1491576Z c8fd1f66c221: Waiting 2025-08-14T21:05:26.1491814Z 4f4fb700ef54: Waiting 2025-08-14T21:05:26.1492095Z 73a036f4a5d4: Waiting 2025-08-14T21:05:26.1492334Z 3ca1010f3846: Waiting 2025-08-14T21:05:26.1492553Z ab642c9771e0: Waiting 2025-08-14T21:05:26.1492790Z dbc40137a811: Waiting 2025-08-14T21:05:26.1493037Z 8a649a6063cf: Pulling fs layer 2025-08-14T21:05:26.1493293Z d947308ec6c0: Waiting 2025-08-14T21:05:26.1493523Z 82f3234546b3: Waiting 2025-08-14T21:05:26.1493765Z 6f5614ef0259: Pulling fs layer 2025-08-14T21:05:26.1494017Z 28d6214975c0: Waiting 2025-08-14T21:05:26.1494262Z 5c0a31477213: Pulling fs layer 2025-08-14T21:05:26.1494542Z b9bc257d5af6: Pulling fs layer 2025-08-14T21:05:26.1494798Z 51a8de8f5ab2: Waiting 2025-08-14T21:05:26.1495031Z e75d4694ae82: Waiting 2025-08-14T21:05:26.1495262Z 6f5614ef0259: Waiting 2025-08-14T21:05:26.1495480Z 8a649a6063cf: Waiting 2025-08-14T21:05:26.1495711Z 5c0a31477213: Waiting 2025-08-14T21:05:26.1495944Z 960d25169df1: Waiting 2025-08-14T21:05:26.1496166Z b9bc257d5af6: Waiting 2025-08-14T21:05:26.1496413Z 4a977d8955e6: Pulling fs layer 2025-08-14T21:05:26.1497025Z 32a65e5a5d0d: Pulling fs layer 2025-08-14T21:05:26.1497479Z 88b9c7fbb7f5: Pulling fs layer 2025-08-14T21:05:26.1497882Z 4a977d8955e6: Waiting 2025-08-14T21:05:26.1498127Z ad0aa3946f36: Pulling fs layer 2025-08-14T21:05:26.1498394Z 12513ab032b1: Waiting 2025-08-14T21:05:26.1498629Z f78553d91b8d: Pulling fs layer 2025-08-14T21:05:26.1498896Z 88b9c7fbb7f5: Waiting 2025-08-14T21:05:26.1499132Z 32a65e5a5d0d: Waiting 2025-08-14T21:05:26.1499354Z 72da40fd831c: Waiting 2025-08-14T21:05:26.1499600Z ad0aa3946f36: Waiting 2025-08-14T21:05:26.1499834Z dea7b5130129: Waiting 2025-08-14T21:05:26.1500120Z 0b7ea6453230: Pulling fs layer 2025-08-14T21:05:26.1500503Z 8330e7ea1b20: Pulling fs layer 2025-08-14T21:05:26.1500952Z fed7b1c3e821: Waiting 2025-08-14T21:05:26.1501238Z f78553d91b8d: Waiting 2025-08-14T21:05:26.1501487Z e7aff2fc4378: Pulling fs layer 2025-08-14T21:05:26.1501765Z 667e68628282: Pulling fs layer 2025-08-14T21:05:26.1502059Z 8330e7ea1b20: Waiting 2025-08-14T21:05:26.1502304Z 8b05e09cad0d: Pulling fs layer 2025-08-14T21:05:26.1502574Z 0b7ea6453230: Waiting 2025-08-14T21:05:26.1502808Z a20271f3e135: Pulling fs layer 2025-08-14T21:05:26.1503070Z 667e68628282: Waiting 2025-08-14T21:05:26.1503301Z 8b05e09cad0d: Waiting 2025-08-14T21:05:26.1503522Z a20271f3e135: Waiting 2025-08-14T21:05:26.1503767Z 6de635554f5b: Pulling fs layer 2025-08-14T21:05:26.1504044Z 2327901bebfd: Pulling fs layer 2025-08-14T21:05:26.1504310Z 6de635554f5b: Waiting 2025-08-14T21:05:26.1504545Z 0e1acd221de3: Pulling fs layer 2025-08-14T21:05:26.1504907Z 2327901bebfd: Waiting 2025-08-14T21:05:26.1505158Z 883fad14abaf: Pulling fs layer 2025-08-14T21:05:26.1505428Z 3cdf0c0557b9: Pulling fs layer 2025-08-14T21:05:26.1505784Z 49f35c818257: Pulling fs layer 2025-08-14T21:05:26.1506164Z 0e1acd221de3: Waiting 2025-08-14T21:05:26.1506390Z 883fad14abaf: Waiting 2025-08-14T21:05:26.1506646Z d7a2ef6024dc: Pulling fs layer 2025-08-14T21:05:26.1506918Z 3cdf0c0557b9: Waiting 2025-08-14T21:05:26.1507152Z e069f49d0a35: Pulling fs layer 2025-08-14T21:05:26.1507435Z c5150ca5ac67: Pulling fs layer 2025-08-14T21:05:26.1507700Z 49f35c818257: Waiting 2025-08-14T21:05:26.1507919Z e069f49d0a35: Waiting 2025-08-14T21:05:26.1508220Z bebe10ca43f6: Pulling fs layer 2025-08-14T21:05:26.1508491Z d7a2ef6024dc: Waiting 2025-08-14T21:05:26.1508767Z adc4a16c409d: Pulling fs layer 2025-08-14T21:05:26.1509053Z b7028bbd1f0e: Pulling fs layer 2025-08-14T21:05:26.1509337Z 53acff155ed9: Pulling fs layer 2025-08-14T21:05:26.1509719Z bebe10ca43f6: Waiting 2025-08-14T21:05:26.1509958Z adc4a16c409d: Waiting 2025-08-14T21:05:26.1510199Z c5150ca5ac67: Waiting 2025-08-14T21:05:26.1510453Z dee80f9872f3: Pulling fs layer 2025-08-14T21:05:26.1510722Z a254ee8e6915: Pulling fs layer 2025-08-14T21:05:26.1511007Z e7bcb72e6b9e: Pulling fs layer 2025-08-14T21:05:26.1511283Z b7028bbd1f0e: Waiting 2025-08-14T21:05:26.1511514Z dee80f9872f3: Waiting 2025-08-14T21:05:26.1511754Z a254ee8e6915: Waiting 2025-08-14T21:05:26.1512041Z 53acff155ed9: Waiting 2025-08-14T21:05:26.1512285Z e7bcb72e6b9e: Waiting 2025-08-14T21:05:26.2272089Z a7ac6822069c: Verifying Checksum 2025-08-14T21:05:26.2272468Z a7ac6822069c: Download complete 2025-08-14T21:05:26.3065627Z fed7b1c3e821: Verifying Checksum 2025-08-14T21:05:26.3066038Z fed7b1c3e821: Download complete 2025-08-14T21:05:26.5085188Z 660ffc76f83b: Verifying Checksum 2025-08-14T21:05:26.5085585Z 660ffc76f83b: Download complete 2025-08-14T21:05:26.6065103Z 2b3c95d5bdd3: Verifying Checksum 2025-08-14T21:05:26.6065473Z 2b3c95d5bdd3: Download complete 2025-08-14T21:05:26.6857592Z 64e5c40daf9a: Download complete 2025-08-14T21:05:26.7910293Z 0113773a5bba: Download complete 2025-08-14T21:05:26.8583626Z 12513ab032b1: Verifying Checksum 2025-08-14T21:05:26.8584068Z 12513ab032b1: Download complete 2025-08-14T21:05:26.9432281Z 72da40fd831c: Verifying Checksum 2025-08-14T21:05:26.9432859Z 72da40fd831c: Download complete 2025-08-14T21:05:26.9950889Z f6ff1c4ec221: Verifying Checksum 2025-08-14T21:05:26.9951269Z f6ff1c4ec221: Download complete 2025-08-14T21:05:27.0029673Z 4ea4b6ca480f: Download complete 2025-08-14T21:05:27.0765947Z dea7b5130129: Verifying Checksum 2025-08-14T21:05:27.0766470Z dea7b5130129: Download complete 2025-08-14T21:05:27.1110131Z 7a90440a78c7: Download complete 2025-08-14T21:05:27.1179558Z 4f4fb700ef54: Verifying Checksum 2025-08-14T21:05:27.1180020Z 4f4fb700ef54: Download complete 2025-08-14T21:05:27.2146886Z ab642c9771e0: Verifying Checksum 2025-08-14T21:05:27.2147408Z ab642c9771e0: Download complete 2025-08-14T21:05:27.3161610Z d947308ec6c0: Verifying Checksum 2025-08-14T21:05:27.3161963Z d947308ec6c0: Download complete 2025-08-14T21:05:27.3494061Z 660ffc76f83b: Pull complete 2025-08-14T21:05:27.3704022Z a7ac6822069c: Pull complete 2025-08-14T21:05:27.3979747Z 82f3234546b3: Download complete 2025-08-14T21:05:27.5686366Z 960d25169df1: Verifying Checksum 2025-08-14T21:05:27.5686742Z 960d25169df1: Download complete 2025-08-14T21:05:27.6600361Z dbc40137a811: Download complete 2025-08-14T21:05:27.7699805Z 28d6214975c0: Verifying Checksum 2025-08-14T21:05:27.7700182Z 28d6214975c0: Download complete 2025-08-14T21:05:27.8540303Z e75d4694ae82: Verifying Checksum 2025-08-14T21:05:27.8540631Z e75d4694ae82: Download complete 2025-08-14T21:05:27.9265726Z c8fd1f66c221: Download complete 2025-08-14T21:05:28.0181191Z 73a036f4a5d4: Verifying Checksum 2025-08-14T21:05:28.0181527Z 73a036f4a5d4: Download complete 2025-08-14T21:05:28.0937234Z 92c311949fb1: Verifying Checksum 2025-08-14T21:05:28.0937597Z 92c311949fb1: Download complete 2025-08-14T21:05:28.1612079Z 29f6cfbe4c15: Download complete 2025-08-14T21:05:28.2394655Z fb6c7ee8061b: Verifying Checksum 2025-08-14T21:05:28.2394996Z fb6c7ee8061b: Download complete 2025-08-14T21:05:29.6348605Z 31f42505d41a: Verifying Checksum 2025-08-14T21:05:29.6348989Z 31f42505d41a: Download complete 2025-08-14T21:05:29.7642236Z 3ca1010f3846: Verifying Checksum 2025-08-14T21:05:29.7642612Z 3ca1010f3846: Download complete 2025-08-14T21:05:29.8326109Z 072215d97c72: Verifying Checksum 2025-08-14T21:05:29.8326424Z 072215d97c72: Download complete 2025-08-14T21:05:29.9016710Z 51a8de8f5ab2: Verifying Checksum 2025-08-14T21:05:29.9017089Z 51a8de8f5ab2: Download complete 2025-08-14T21:05:29.9849594Z 8a649a6063cf: Verifying Checksum 2025-08-14T21:05:29.9849982Z 8a649a6063cf: Download complete 2025-08-14T21:05:30.2227434Z 6f5614ef0259: Verifying Checksum 2025-08-14T21:05:30.2227809Z 6f5614ef0259: Download complete 2025-08-14T21:05:30.3088392Z 5c0a31477213: Verifying Checksum 2025-08-14T21:05:30.3088790Z 5c0a31477213: Download complete 2025-08-14T21:05:30.4043442Z b9bc257d5af6: Download complete 2025-08-14T21:05:30.5031192Z 4a977d8955e6: Download complete 2025-08-14T21:05:30.5992601Z 32a65e5a5d0d: Download complete 2025-08-14T21:05:30.6904096Z 88b9c7fbb7f5: Verifying Checksum 2025-08-14T21:05:30.6904522Z 88b9c7fbb7f5: Download complete 2025-08-14T21:05:30.7815900Z ad0aa3946f36: Download complete 2025-08-14T21:05:30.8637788Z f78553d91b8d: Verifying Checksum 2025-08-14T21:05:30.8638544Z f78553d91b8d: Download complete 2025-08-14T21:05:30.9381613Z 0b7ea6453230: Verifying Checksum 2025-08-14T21:05:30.9382162Z 0b7ea6453230: Download complete 2025-08-14T21:05:31.0054107Z 8330e7ea1b20: Verifying Checksum 2025-08-14T21:05:31.0054641Z 8330e7ea1b20: Download complete 2025-08-14T21:05:31.1354832Z e7aff2fc4378: Verifying Checksum 2025-08-14T21:05:31.1355413Z e7aff2fc4378: Download complete 2025-08-14T21:05:31.2222256Z 667e68628282: Verifying Checksum 2025-08-14T21:05:31.2222679Z 667e68628282: Download complete 2025-08-14T21:05:31.3051785Z 8b05e09cad0d: Download complete 2025-08-14T21:05:31.3913863Z a20271f3e135: Download complete 2025-08-14T21:05:31.4684961Z 6de635554f5b: Download complete 2025-08-14T21:05:31.5636388Z 2327901bebfd: Verifying Checksum 2025-08-14T21:05:31.5636966Z 2327901bebfd: Download complete 2025-08-14T21:05:31.6347197Z 0e1acd221de3: Download complete 2025-08-14T21:05:31.7179899Z 883fad14abaf: Verifying Checksum 2025-08-14T21:05:31.7180297Z 883fad14abaf: Download complete 2025-08-14T21:05:31.7919174Z 3cdf0c0557b9: Verifying Checksum 2025-08-14T21:05:31.7919782Z 3cdf0c0557b9: Download complete 2025-08-14T21:05:31.8896343Z 49f35c818257: Download complete 2025-08-14T21:05:31.9929211Z d7a2ef6024dc: Verifying Checksum 2025-08-14T21:05:31.9929601Z d7a2ef6024dc: Download complete 2025-08-14T21:05:32.0631179Z e069f49d0a35: Verifying Checksum 2025-08-14T21:05:32.0631582Z e069f49d0a35: Download complete 2025-08-14T21:05:32.8243463Z 0302c90f502f: Verifying Checksum 2025-08-14T21:05:32.8244083Z 0302c90f502f: Download complete 2025-08-14T21:05:32.9189973Z bebe10ca43f6: Download complete 2025-08-14T21:05:33.0075669Z adc4a16c409d: Verifying Checksum 2025-08-14T21:05:33.0076203Z adc4a16c409d: Download complete 2025-08-14T21:05:33.1156375Z b7028bbd1f0e: Verifying Checksum 2025-08-14T21:05:33.1156807Z b7028bbd1f0e: Download complete 2025-08-14T21:05:33.1850002Z 53acff155ed9: Verifying Checksum 2025-08-14T21:05:33.1850368Z 53acff155ed9: Download complete 2025-08-14T21:05:33.2726742Z dee80f9872f3: Verifying Checksum 2025-08-14T21:05:33.2727350Z dee80f9872f3: Download complete 2025-08-14T21:05:33.3732460Z a254ee8e6915: Verifying Checksum 2025-08-14T21:05:33.3732931Z a254ee8e6915: Download complete 2025-08-14T21:05:34.1197138Z e7bcb72e6b9e: Verifying Checksum 2025-08-14T21:05:34.1197663Z e7bcb72e6b9e: Download complete 2025-08-14T21:05:34.6364296Z c5150ca5ac67: Verifying Checksum 2025-08-14T21:05:34.6364708Z c5150ca5ac67: Download complete 2025-08-14T21:05:37.6128483Z 31f42505d41a: Pull complete 2025-08-14T21:05:37.7446585Z fed7b1c3e821: Pull complete 2025-08-14T21:05:39.0008426Z f6ff1c4ec221: Pull complete 2025-08-14T21:05:39.2063792Z 2b3c95d5bdd3: Pull complete 2025-08-14T21:05:39.3470076Z 64e5c40daf9a: Pull complete 2025-08-14T21:05:39.5169121Z 0113773a5bba: Pull complete 2025-08-14T21:05:39.6732010Z 12513ab032b1: Pull complete 2025-08-14T21:05:39.8324386Z 72da40fd831c: Pull complete 2025-08-14T21:05:39.9574447Z 4ea4b6ca480f: Pull complete 2025-08-14T21:05:40.0945081Z dea7b5130129: Pull complete 2025-08-14T21:05:40.2219351Z 7a90440a78c7: Pull complete 2025-08-14T21:06:01.2856288Z 258d086c6347: Verifying Checksum 2025-08-14T21:06:01.2856687Z 258d086c6347: Download complete 2025-08-14T21:06:46.6707149Z 258d086c6347: Pull complete 2025-08-14T21:06:46.8933435Z 4f4fb700ef54: Pull complete 2025-08-14T21:06:47.1252094Z ab642c9771e0: Pull complete 2025-08-14T21:06:47.3411956Z d947308ec6c0: Pull complete 2025-08-14T21:06:47.5489990Z 82f3234546b3: Pull complete 2025-08-14T21:06:47.8423223Z 960d25169df1: Pull complete 2025-08-14T21:06:48.0574351Z dbc40137a811: Pull complete 2025-08-14T21:06:48.1482210Z 28d6214975c0: Pull complete 2025-08-14T21:06:48.1915896Z e75d4694ae82: Pull complete 2025-08-14T21:06:48.2262588Z c8fd1f66c221: Pull complete 2025-08-14T21:06:48.2568631Z 73a036f4a5d4: Pull complete 2025-08-14T21:06:48.3053364Z 92c311949fb1: Pull complete 2025-08-14T21:06:48.4579146Z 29f6cfbe4c15: Pull complete 2025-08-14T21:06:48.5297129Z fb6c7ee8061b: Pull complete 2025-08-14T21:06:55.6259121Z 0302c90f502f: Pull complete 2025-08-14T21:06:55.8114802Z 3ca1010f3846: Pull complete 2025-08-14T21:06:56.0381459Z 072215d97c72: Pull complete 2025-08-14T21:06:56.4000600Z 51a8de8f5ab2: Pull complete 2025-08-14T21:06:56.5604694Z 8a649a6063cf: Pull complete 2025-08-14T21:06:56.8673252Z 6f5614ef0259: Pull complete 2025-08-14T21:06:56.9623115Z 5c0a31477213: Pull complete 2025-08-14T21:06:57.0525656Z b9bc257d5af6: Pull complete 2025-08-14T21:06:57.3628619Z 4a977d8955e6: Pull complete 2025-08-14T21:06:57.5919172Z 32a65e5a5d0d: Pull complete 2025-08-14T21:06:57.8081203Z 88b9c7fbb7f5: Pull complete 2025-08-14T21:06:58.2287748Z ad0aa3946f36: Pull complete 2025-08-14T21:06:58.4509286Z f78553d91b8d: Pull complete 2025-08-14T21:06:58.8832843Z 0b7ea6453230: Pull complete 2025-08-14T21:06:59.0773578Z 8330e7ea1b20: Pull complete 2025-08-14T21:06:59.2346990Z e7aff2fc4378: Pull complete 2025-08-14T21:06:59.3979743Z 667e68628282: Pull complete 2025-08-14T21:06:59.5032680Z 8b05e09cad0d: Pull complete 2025-08-14T21:06:59.8768380Z a20271f3e135: Pull complete 2025-08-14T21:07:00.2931737Z 6de635554f5b: Pull complete 2025-08-14T21:07:00.5106416Z 2327901bebfd: Pull complete 2025-08-14T21:07:00.9246133Z 0e1acd221de3: Pull complete 2025-08-14T21:07:01.0536301Z 883fad14abaf: Pull complete 2025-08-14T21:07:01.4386782Z 3cdf0c0557b9: Pull complete 2025-08-14T21:07:01.6161484Z 49f35c818257: Pull complete 2025-08-14T21:07:01.8522711Z d7a2ef6024dc: Pull complete 2025-08-14T21:07:02.0494356Z e069f49d0a35: Pull complete 2025-08-14T21:07:07.8001658Z c5150ca5ac67: Pull complete 2025-08-14T21:07:08.0251547Z bebe10ca43f6: Pull complete 2025-08-14T21:07:08.2231629Z adc4a16c409d: Pull complete 2025-08-14T21:07:08.4097560Z b7028bbd1f0e: Pull complete 2025-08-14T21:07:08.5725682Z 53acff155ed9: Pull complete 2025-08-14T21:07:08.7938837Z dee80f9872f3: Pull complete 2025-08-14T21:07:09.1894825Z a254ee8e6915: Pull complete 2025-08-14T21:07:10.9059658Z e7bcb72e6b9e: Pull complete 2025-08-14T21:07:11.2248525Z Digest: sha256:e5a191418e9f11a59a218b040bad54b9c3113ac41271ba5a6874e1c6d47db7c7 2025-08-14T21:07:11.2729410Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:07:11.2949991Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:07:11.2998765Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:07:11.2999882Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-08-14T21:07:11.3009160Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:11.3009550Z env: 2025-08-14T21:07:11.3009777Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:11.3010027Z ##[endgroup] 2025-08-14T21:07:11.3095456Z Prepare all required actions 2025-08-14T21:07:11.3204822Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-08-14T21:07:11.3205181Z with: 2025-08-14T21:07:11.3205848Z github-token: *** 2025-08-14T21:07:11.3206077Z env: 2025-08-14T21:07:11.3206295Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:11.3206566Z ##[endgroup] 2025-08-14T21:07:11.3304160Z ##[group]Run set -eux 2025-08-14T21:07:11.3304464Z set -eux 2025-08-14T21:07:11.3304911Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T21:07:11.3311116Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:11.3311517Z env: 2025-08-14T21:07:11.3311744Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:11.3312267Z GITHUB_TOKEN: *** 2025-08-14T21:07:11.3312495Z ##[endgroup] 2025-08-14T21:07:11.3335472Z + python3 .github/scripts/get_workflow_job_id.py 16976255017 i-04a61581104816429 2025-08-14T21:07:13.0012690Z Setting output job-id=48127032070 2025-08-14T21:07:13.0013463Z Setting output job-name=linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:07:13.0138757Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:07:13.0139503Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-08-14T21:07:13.0140453Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-08-14T21:07:13.0141287Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-08-14T21:07:13.0148668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:13.0149052Z env: 2025-08-14T21:07:13.0149262Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:13.0149527Z JOB_ID: 48127032070 2025-08-14T21:07:13.0149923Z JOB_NAME: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:07:13.0150378Z WORKFLOW_NAME: pull 2025-08-14T21:07:13.0150624Z WORKFLOW_RUN_ID: 16976255017 2025-08-14T21:07:13.0150946Z MONITOR_LOG_INTERVAL: 5 2025-08-14T21:07:13.0151209Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-08-14T21:07:13.0151494Z ##[endgroup] 2025-08-14T21:07:13.3055694Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:07:13.6511319Z Collecting psutil==5.9.8 2025-08-14T21:07:13.6674116Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-08-14T21:07:13.7390071Z Collecting dataclasses_json==0.6.7 2025-08-14T21:07:13.7430409Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-08-14T21:07:13.7709953Z Collecting nvidia-ml-py==11.525.84 2025-08-14T21:07:13.7756106Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-08-14T21:07:13.8935692Z Collecting marshmallow<4.0.0,>=3.18.0 2025-08-14T21:07:13.8979139Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-08-14T21:07:13.9221980Z Collecting typing-inspect<1,>=0.4.0 2025-08-14T21:07:13.9255306Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-08-14T21:07:13.9831338Z Collecting packaging>=17.0 2025-08-14T21:07:13.9863704Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-08-14T21:07:14.0110507Z Collecting mypy-extensions>=0.3.0 2025-08-14T21:07:14.0142209Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-08-14T21:07:14.0606251Z Collecting typing-extensions>=3.7.4 2025-08-14T21:07:14.0708132Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-08-14T21:07:14.1648086Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-08-14T21:07:14.4497220Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.14.1 typing-inspect-0.9.0 2025-08-14T21:07:14.6417735Z Prepare all required actions 2025-08-14T21:07:14.6418135Z Getting action download info 2025-08-14T21:07:14.8008952Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-08-14T21:07:15.1436199Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-08-14T21:07:15.4521341Z ##[group]Run ./.github/actions/download-build-artifacts 2025-08-14T21:07:15.4521718Z with: 2025-08-14T21:07:15.4521952Z name: linux-jammy-py3.13-clang12 2025-08-14T21:07:15.4522243Z s3-bucket: gha-artifacts 2025-08-14T21:07:15.4522508Z env: 2025-08-14T21:07:15.4522740Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:15.4522985Z ##[endgroup] 2025-08-14T21:07:15.4554298Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:07:15.4554648Z with: 2025-08-14T21:07:15.4554885Z name: linux-jammy-py3.13-clang12 2025-08-14T21:07:15.4555175Z s3-bucket: gha-artifacts 2025-08-14T21:07:15.4555490Z region: us-east-1 2025-08-14T21:07:15.4555705Z env: 2025-08-14T21:07:15.4555924Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:15.4556179Z ##[endgroup] 2025-08-14T21:07:15.9445371Z (node:42469) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:07:15.9445864Z 2025-08-14T21:07:15.9446069Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:07:15.9446598Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:07:15.9447163Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:07:16.2241470Z Found 1 objects with prefix pytorch/pytorch/16976255017/linux-jammy-py3.13-clang12/ 2025-08-14T21:07:16.2242243Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:07:20.8633509Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-08-14T21:07:20.8639367Z Artifact download has finished successfully 2025-08-14T21:07:20.8795928Z ##[group]Run unzip -o artifacts.zip 2025-08-14T21:07:20.8796280Z unzip -o artifacts.zip 2025-08-14T21:07:20.8801971Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:20.8802354Z env: 2025-08-14T21:07:20.8802575Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:20.8802827Z ##[endgroup] 2025-08-14T21:07:20.9090285Z Archive: artifacts.zip 2025-08-14T21:07:20.9090769Z creating: dist/ 2025-08-14T21:07:22.0479534Z inflating: dist/torch-2.9.0a0+git1fc683c-cp313-cp313-linux_x86_64.whl 2025-08-14T21:07:22.0596772Z inflating: dist/.ninja_log 2025-08-14T21:07:22.0597417Z creating: build/custom_test_artifacts/ 2025-08-14T21:07:22.0598121Z creating: build/custom_test_artifacts/custom-op-build/ 2025-08-14T21:07:22.0598961Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-08-14T21:07:22.0600009Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-08-14T21:07:22.0601966Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-08-14T21:07:22.0603204Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-08-14T21:07:22.0604373Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-08-14T21:07:22.0605645Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-08-14T21:07:22.0606877Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-08-14T21:07:22.0608315Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c 2025-08-14T21:07:22.0610081Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/a.out 2025-08-14T21:07:22.0611478Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake 2025-08-14T21:07:22.0612990Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/ 2025-08-14T21:07:22.0614280Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/ 2025-08-14T21:07:22.0615778Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp 2025-08-14T21:07:22.0617329Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdCXX/a.out 2025-08-14T21:07:22.0618685Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeCXXCompiler.cmake 2025-08-14T21:07:22.0620213Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_C.bin 2025-08-14T21:07:22.0621904Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_CXX.bin 2025-08-14T21:07:22.0623363Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/ 2025-08-14T21:07:22.0624630Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache 2025-08-14T21:07:22.0625947Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/ 2025-08-14T21:07:22.0627327Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts 2025-08-14T21:07:22.0628884Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make 2025-08-14T21:07:22.0630310Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make 2025-08-14T21:07:22.0631615Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/link.txt 2025-08-14T21:07:22.0632989Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake 2025-08-14T21:07:22.0634341Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make 2025-08-14T21:07:22.0635714Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake 2025-08-14T21:07:22.0637078Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make 2025-08-14T21:07:22.0638404Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/progress.make 2025-08-14T21:07:22.0650553Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o.d 2025-08-14T21:07:22.0790245Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/op.cpp.o 2025-08-14T21:07:22.0791669Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/ 2025-08-14T21:07:22.0793186Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.ts 2025-08-14T21:07:22.0794791Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.make 2025-08-14T21:07:22.0796371Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/depend.make 2025-08-14T21:07:22.0797798Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/link.txt 2025-08-14T21:07:22.0799256Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/cmake_clean.cmake 2025-08-14T21:07:22.0800693Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/build.make 2025-08-14T21:07:22.0802154Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake 2025-08-14T21:07:22.0803588Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/flags.make 2025-08-14T21:07:22.0805236Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/progress.make 2025-08-14T21:07:22.0819606Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d 2025-08-14T21:07:22.0867829Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o 2025-08-14T21:07:22.0869516Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeDirectoryInformation.cmake 2025-08-14T21:07:22.0870948Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/TargetDirectories.txt 2025-08-14T21:07:22.0872257Z extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks 2025-08-14T21:07:22.0873418Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile2 2025-08-14T21:07:22.0874572Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/Makefile.cmake 2025-08-14T21:07:22.0875864Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/InstallScripts.json 2025-08-14T21:07:22.0877267Z inflating: build/custom_test_artifacts/custom-op-build/CMakeCache.txt 2025-08-14T21:07:22.0878311Z inflating: build/custom_test_artifacts/custom-op-build/Makefile 2025-08-14T21:07:22.0879385Z inflating: build/custom_test_artifacts/custom-op-build/cmake_install.cmake 2025-08-14T21:07:22.1004049Z inflating: build/custom_test_artifacts/custom-op-build/libcustom_ops.so 2025-08-14T21:07:22.1037077Z inflating: build/custom_test_artifacts/custom-op-build/test_custom_ops 2025-08-14T21:07:22.1038036Z creating: build/custom_test_artifacts/jit-hook-build/ 2025-08-14T21:07:22.1038879Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/ 2025-08-14T21:07:22.1039845Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/pkgRedirects/ 2025-08-14T21:07:22.1041425Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeConfigureLog.yaml 2025-08-14T21:07:22.1042625Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/ 2025-08-14T21:07:22.1043806Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-08-14T21:07:22.1045065Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-08-14T21:07:22.1046290Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-08-14T21:07:22.1047714Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c 2025-08-14T21:07:22.1049153Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdC/a.out 2025-08-14T21:07:22.1050519Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake 2025-08-14T21:07:22.1051802Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/ 2025-08-14T21:07:22.1053084Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/ 2025-08-14T21:07:22.1054572Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp 2025-08-14T21:07:22.1056121Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CompilerIdCXX/a.out 2025-08-14T21:07:22.1057461Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeCXXCompiler.cmake 2025-08-14T21:07:22.1058930Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_C.bin 2025-08-14T21:07:22.1060578Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_CXX.bin 2025-08-14T21:07:22.1062006Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeScratch/ 2025-08-14T21:07:22.1063232Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/cmake.check_cache 2025-08-14T21:07:22.1064496Z creating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/ 2025-08-14T21:07:22.1066241Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.ts 2025-08-14T21:07:22.1067803Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/compiler_depend.make 2025-08-14T21:07:22.1069437Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/depend.make 2025-08-14T21:07:22.1070788Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/link.txt 2025-08-14T21:07:22.1072180Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/cmake_clean.cmake 2025-08-14T21:07:22.1073591Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/build.make 2025-08-14T21:07:22.1075005Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/DependInfo.cmake 2025-08-14T21:07:22.1076557Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/flags.make 2025-08-14T21:07:22.1077936Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/progress.make 2025-08-14T21:07:22.1089976Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o.d 2025-08-14T21:07:22.1123053Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/test_jit_hooks.dir/test_jit_hooks.cpp.o 2025-08-14T21:07:22.1124672Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/CMakeDirectoryInformation.cmake 2025-08-14T21:07:22.1126081Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/TargetDirectories.txt 2025-08-14T21:07:22.1127355Z extracting: build/custom_test_artifacts/jit-hook-build/CMakeFiles/progress.marks 2025-08-14T21:07:22.1128521Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile2 2025-08-14T21:07:22.1129638Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/Makefile.cmake 2025-08-14T21:07:22.1130893Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeFiles/InstallScripts.json 2025-08-14T21:07:22.1132082Z inflating: build/custom_test_artifacts/jit-hook-build/CMakeCache.txt 2025-08-14T21:07:22.1133103Z inflating: build/custom_test_artifacts/jit-hook-build/Makefile 2025-08-14T21:07:22.1134147Z inflating: build/custom_test_artifacts/jit-hook-build/cmake_install.cmake 2025-08-14T21:07:22.1152368Z inflating: build/custom_test_artifacts/jit-hook-build/test_jit_hooks 2025-08-14T21:07:22.1153356Z creating: build/custom_test_artifacts/custom-backend-build/ 2025-08-14T21:07:22.1154292Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/ 2025-08-14T21:07:22.1155367Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/pkgRedirects/ 2025-08-14T21:07:22.1156758Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeConfigureLog.yaml 2025-08-14T21:07:22.1157512Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/ 2025-08-14T21:07:22.1158215Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-08-14T21:07:22.1158974Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-08-14T21:07:22.1159709Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/tmp/ 2025-08-14T21:07:22.1161773Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/CMakeCCompilerId.c 2025-08-14T21:07:22.1163365Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdC/a.out 2025-08-14T21:07:22.1164226Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeCCompiler.cmake 2025-08-14T21:07:22.1164999Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/ 2025-08-14T21:07:22.1165955Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/tmp/ 2025-08-14T21:07:22.1167887Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/CMakeCXXCompilerId.cpp 2025-08-14T21:07:22.1169446Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CompilerIdCXX/a.out 2025-08-14T21:07:22.1170601Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeCXXCompiler.cmake 2025-08-14T21:07:22.1172420Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_C.bin 2025-08-14T21:07:22.1174223Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/4.0.0/CMakeDetermineCompilerABI_CXX.bin 2025-08-14T21:07:22.1175028Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeScratch/ 2025-08-14T21:07:22.1175730Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/cmake.check_cache 2025-08-14T21:07:22.1176571Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/ 2025-08-14T21:07:22.1177388Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.ts 2025-08-14T21:07:22.1178301Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/compiler_depend.make 2025-08-14T21:07:22.1179197Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/depend.make 2025-08-14T21:07:22.1180024Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/link.txt 2025-08-14T21:07:22.1180883Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/cmake_clean.cmake 2025-08-14T21:07:22.1181736Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/build.make 2025-08-14T21:07:22.1182607Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/DependInfo.cmake 2025-08-14T21:07:22.1183481Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/flags.make 2025-08-14T21:07:22.1184340Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/progress.make 2025-08-14T21:07:22.1187851Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o.d 2025-08-14T21:07:22.1270769Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/custom_backend.dir/custom_backend.cpp.o 2025-08-14T21:07:22.1271639Z creating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/ 2025-08-14T21:07:22.1272513Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.ts 2025-08-14T21:07:22.1273484Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/compiler_depend.make 2025-08-14T21:07:22.1274422Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/depend.make 2025-08-14T21:07:22.1275299Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/link.txt 2025-08-14T21:07:22.1276326Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/cmake_clean.cmake 2025-08-14T21:07:22.1277253Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/build.make 2025-08-14T21:07:22.1278162Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/DependInfo.cmake 2025-08-14T21:07:22.1279086Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/flags.make 2025-08-14T21:07:22.1279989Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/progress.make 2025-08-14T21:07:22.1298724Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o.d 2025-08-14T21:07:22.1322732Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/test_custom_backend.dir/test_custom_backend.cpp.o 2025-08-14T21:07:22.1323840Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/CMakeDirectoryInformation.cmake 2025-08-14T21:07:22.1324691Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/TargetDirectories.txt 2025-08-14T21:07:22.1325453Z extracting: build/custom_test_artifacts/custom-backend-build/CMakeFiles/progress.marks 2025-08-14T21:07:22.1326152Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile2 2025-08-14T21:07:22.1327647Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/Makefile.cmake 2025-08-14T21:07:22.1328388Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeFiles/InstallScripts.json 2025-08-14T21:07:22.1329969Z inflating: build/custom_test_artifacts/custom-backend-build/CMakeCache.txt 2025-08-14T21:07:22.1331009Z inflating: build/custom_test_artifacts/custom-backend-build/Makefile 2025-08-14T21:07:22.1332340Z inflating: build/custom_test_artifacts/custom-backend-build/cmake_install.cmake 2025-08-14T21:07:22.1404562Z inflating: build/custom_test_artifacts/custom-backend-build/libcustom_backend.so 2025-08-14T21:07:22.1421064Z inflating: build/custom_test_artifacts/custom-backend-build/test_custom_backend 2025-08-14T21:07:22.1421960Z creating: build/lib/ 2025-08-14T21:07:22.1494277Z inflating: build/lib/libprotobuf-lite.a 2025-08-14T21:07:22.1875813Z inflating: build/lib/libprotobuf.a 2025-08-14T21:07:22.1885334Z inflating: build/lib/libpthreadpool.a 2025-08-14T21:07:22.2308333Z inflating: build/lib/libprotoc.a 2025-08-14T21:07:22.2315971Z inflating: build/lib/libcpuinfo.a 2025-08-14T21:07:22.2323208Z inflating: build/lib/libcpuinfo_internals.a 2025-08-14T21:07:22.2324331Z inflating: build/lib/libclog.a 2025-08-14T21:07:22.2342134Z inflating: build/lib/libpytorch_qnnpack.a 2025-08-14T21:07:22.2345133Z inflating: build/lib/libnnpack_reference_layers.a 2025-08-14T21:07:22.2503650Z inflating: build/lib/libmicrokernels-prod.a 2025-08-14T21:07:22.2520961Z inflating: build/lib/libnnpack.a 2025-08-14T21:07:22.3133281Z inflating: build/lib/libmicrokernels-all.a 2025-08-14T21:07:22.3194149Z inflating: build/lib/libgtest.a 2025-08-14T21:07:22.3205739Z inflating: build/lib/libgmock.a 2025-08-14T21:07:22.3206489Z inflating: build/lib/libgmock_main.a 2025-08-14T21:07:22.3207465Z inflating: build/lib/libgtest_main.a 2025-08-14T21:07:22.3315846Z inflating: build/lib/libXNNPACK.a 2025-08-14T21:07:22.3380218Z inflating: build/lib/libbenchmark.a 2025-08-14T21:07:22.3381000Z inflating: build/lib/libbenchmark_main.a 2025-08-14T21:07:22.3382122Z inflating: build/lib/libjitprofiling.a 2025-08-14T21:07:22.3444828Z inflating: build/lib/libasmjit.a 2025-08-14T21:07:22.3453098Z inflating: build/lib/libittnotify.a 2025-08-14T21:07:22.4607252Z inflating: build/lib/libfbgemm.a 2025-08-14T21:07:22.4633939Z inflating: build/lib/libtensorpipe_uv.a 2025-08-14T21:07:22.5111844Z inflating: build/lib/libtensorpipe.a 2025-08-14T21:07:22.5201977Z inflating: build/lib/libgloo.a 2025-08-14T21:07:22.5249633Z inflating: build/lib/libonnx_proto.a 2025-08-14T21:07:22.5934839Z inflating: build/lib/libonnx.a 2025-08-14T21:07:22.5952851Z inflating: build/lib/libfmt.a 2025-08-14T21:07:23.8768582Z inflating: build/lib/libdnnl.a 2025-08-14T21:07:23.9015779Z inflating: build/lib/libkineto.a 2025-08-14T21:07:23.9113557Z inflating: build/lib/libc10.so 2025-08-14T21:07:23.9114820Z inflating: build/lib/libtorch_global_deps.so 2025-08-14T21:07:26.7934152Z inflating: build/lib/libtorch_cpu.so 2025-08-14T21:07:26.7934895Z inflating: build/lib/libtorch.so 2025-08-14T21:07:26.8007493Z inflating: build/lib/libtorchbind_test.so 2025-08-14T21:07:26.8027564Z inflating: build/lib/libjitbackend_test.so 2025-08-14T21:07:26.8051688Z inflating: build/lib/libbackend_with_compiler.so 2025-08-14T21:07:26.8079607Z inflating: build/lib/libaoti_custom_ops.so 2025-08-14T21:07:26.8083845Z inflating: build/lib/libshm.so 2025-08-14T21:07:27.0019284Z inflating: build/lib/libtorch_python.so 2025-08-14T21:07:27.0054732Z inflating: build/lib/libnnapi_backend.so 2025-08-14T21:07:27.0055084Z creating: build/bin/ 2025-08-14T21:07:27.0055371Z creating: build/bin/CMakeFiles/ 2025-08-14T21:07:27.0055833Z inflating: build/bin/cmake_install.cmake 2025-08-14T21:07:27.0056504Z inflating: build/bin/CTestTestfile.cmake 2025-08-14T21:07:27.0416179Z inflating: build/bin/protoc-3.13.0.0 2025-08-14T21:07:27.0775054Z inflating: build/bin/protoc 2025-08-14T21:07:27.0826410Z inflating: build/bin/c10_AllocatorConfig_test 2025-08-14T21:07:27.0874490Z inflating: build/bin/c10_CompileTimeFunctionPointer_test 2025-08-14T21:07:27.0924591Z inflating: build/bin/c10_DeviceGuard_test 2025-08-14T21:07:27.0975086Z inflating: build/bin/c10_Device_test 2025-08-14T21:07:27.1030860Z inflating: build/bin/c10_DispatchKeySet_test 2025-08-14T21:07:27.1081928Z inflating: build/bin/c10_Scalar_test 2025-08-14T21:07:27.1129826Z inflating: build/bin/c10_StreamGuard_test 2025-08-14T21:07:27.1178645Z inflating: build/bin/c10_SymInt_test 2025-08-14T21:07:27.1230286Z inflating: build/bin/c10_InlineDeviceGuard_test 2025-08-14T21:07:27.1283372Z inflating: build/bin/c10_InlineStreamGuard_test 2025-08-14T21:07:27.1336991Z inflating: build/bin/c10_SizesAndStrides_test 2025-08-14T21:07:27.1384625Z inflating: build/bin/c10_ConstexprCrc_test 2025-08-14T21:07:27.1435191Z inflating: build/bin/c10_Bitset_test 2025-08-14T21:07:27.1483365Z inflating: build/bin/c10_DeadlockDetection_test 2025-08-14T21:07:27.1547355Z inflating: build/bin/c10_cow_test 2025-08-14T21:07:27.1595650Z inflating: build/bin/c10_ArrayRef_test 2025-08-14T21:07:27.1649011Z inflating: build/bin/c10_Enumerate_test 2025-08-14T21:07:27.1697890Z inflating: build/bin/c10_Half_test 2025-08-14T21:07:27.1751009Z inflating: build/bin/c10_LeftRight_test 2025-08-14T21:07:27.1801402Z inflating: build/bin/c10_IntrusiveList_test 2025-08-14T21:07:27.1851375Z inflating: build/bin/c10_NetworkFlow_test 2025-08-14T21:07:27.1902538Z inflating: build/bin/c10_Metaprogramming_test 2025-08-14T21:07:27.1950880Z inflating: build/bin/c10_Semaphore_test 2025-08-14T21:07:27.1999675Z inflating: build/bin/c10_Synchronized_test 2025-08-14T21:07:27.2051917Z inflating: build/bin/c10_ThreadLocal_test 2025-08-14T21:07:27.2101309Z inflating: build/bin/c10_TypeIndex_test 2025-08-14T21:07:27.2149201Z inflating: build/bin/c10_TypeTraits_test 2025-08-14T21:07:27.2198381Z inflating: build/bin/c10_TypeList_test 2025-08-14T21:07:27.2248144Z inflating: build/bin/c10_accumulate_test 2025-08-14T21:07:27.2300472Z inflating: build/bin/c10_bfloat16_test 2025-08-14T21:07:27.2348984Z inflating: build/bin/c10_bit_cast_test 2025-08-14T21:07:27.2403904Z inflating: build/bin/c10_complex_math_test 2025-08-14T21:07:27.2451840Z inflating: build/bin/c10_error_test 2025-08-14T21:07:27.2504183Z inflating: build/bin/c10_complex_test 2025-08-14T21:07:27.2554477Z inflating: build/bin/c10_exception_test 2025-08-14T21:07:27.2603957Z inflating: build/bin/c10_flags_test 2025-08-14T21:07:27.2652184Z inflating: build/bin/c10_generic_math_test 2025-08-14T21:07:27.2701581Z inflating: build/bin/c10_irange_test 2025-08-14T21:07:27.2834974Z inflating: build/bin/c10_intrusive_ptr_test 2025-08-14T21:07:27.2885398Z inflating: build/bin/c10_lazy_test 2025-08-14T21:07:27.2938292Z inflating: build/bin/c10_logging_test 2025-08-14T21:07:27.3011941Z inflating: build/bin/c10_optional_test 2025-08-14T21:07:27.3070460Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-08-14T21:07:27.3122010Z inflating: build/bin/c10_registry_test 2025-08-14T21:07:27.3174319Z inflating: build/bin/c10_string_util_test 2025-08-14T21:07:27.3307472Z inflating: build/bin/c10_small_vector_test 2025-08-14T21:07:27.3357415Z inflating: build/bin/c10_ssize_test 2025-08-14T21:07:27.3405065Z inflating: build/bin/c10_string_view_test 2025-08-14T21:07:27.3453740Z inflating: build/bin/c10_tempfile_test 2025-08-14T21:07:27.3491002Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-08-14T21:07:27.3542472Z inflating: build/bin/c10_typeid_test 2025-08-14T21:07:27.4111653Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-08-14T21:07:27.4701315Z inflating: build/bin/vec_test_all_types_AVX512 2025-08-14T21:07:27.5299025Z inflating: build/bin/vec_test_all_types_AVX2 2025-08-14T21:07:27.5348794Z inflating: build/bin/BackoffTest 2025-08-14T21:07:27.5399972Z inflating: build/bin/FileStoreTest 2025-08-14T21:07:27.5452794Z inflating: build/bin/TCPStoreTest 2025-08-14T21:07:27.5503513Z inflating: build/bin/HashStoreTest 2025-08-14T21:07:27.5551940Z inflating: build/bin/static_runtime_bench 2025-08-14T21:07:27.5825005Z inflating: build/bin/static_runtime_test 2025-08-14T21:07:27.5892739Z inflating: build/bin/Dict_test 2025-08-14T21:07:27.5942727Z inflating: build/bin/Dimname_test 2025-08-14T21:07:27.6005823Z inflating: build/bin/MaybeOwned_test 2025-08-14T21:07:27.6059498Z inflating: build/bin/NamedTensor_test 2025-08-14T21:07:27.6115334Z inflating: build/bin/apply_utils_test 2025-08-14T21:07:27.6172242Z inflating: build/bin/atest 2025-08-14T21:07:27.6234898Z inflating: build/bin/basic 2025-08-14T21:07:27.6287178Z inflating: build/bin/broadcast_test 2025-08-14T21:07:27.6336463Z inflating: build/bin/cpu_allocator_test 2025-08-14T21:07:27.6391009Z inflating: build/bin/cpu_generator_test 2025-08-14T21:07:27.6442181Z inflating: build/bin/cpu_profiling_allocator_test 2025-08-14T21:07:27.6531223Z inflating: build/bin/cpu_rng_test 2025-08-14T21:07:27.6580692Z inflating: build/bin/dlconvertor_test 2025-08-14T21:07:27.6636771Z inflating: build/bin/extension_backend_test 2025-08-14T21:07:27.6687458Z inflating: build/bin/half_test 2025-08-14T21:07:27.6781487Z inflating: build/bin/ivalue_test 2025-08-14T21:07:27.6829867Z inflating: build/bin/lazy_tensor_test 2025-08-14T21:07:27.6880942Z inflating: build/bin/math_kernel_test 2025-08-14T21:07:27.6931884Z inflating: build/bin/memory_format_test 2025-08-14T21:07:27.6982437Z inflating: build/bin/memory_overlapping_test 2025-08-14T21:07:27.7034101Z inflating: build/bin/mobile_memory_cleanup 2025-08-14T21:07:27.7088354Z inflating: build/bin/native_test 2025-08-14T21:07:27.7137147Z inflating: build/bin/operator_name_test 2025-08-14T21:07:27.7186482Z inflating: build/bin/operators_test 2025-08-14T21:07:27.7256042Z inflating: build/bin/pow_test 2025-08-14T21:07:27.7306214Z inflating: build/bin/packedtensoraccessor_test 2025-08-14T21:07:27.7360942Z inflating: build/bin/quantized_test 2025-08-14T21:07:27.7409752Z inflating: build/bin/reduce_ops_test 2025-08-14T21:07:27.7458697Z inflating: build/bin/reportMemoryUsage_test 2025-08-14T21:07:27.7513294Z inflating: build/bin/scalar_tensor_test 2025-08-14T21:07:27.7569044Z inflating: build/bin/scalar_test 2025-08-14T21:07:27.7618352Z inflating: build/bin/StorageUtils_test 2025-08-14T21:07:27.7668566Z inflating: build/bin/stride_properties_test 2025-08-14T21:07:27.7745826Z inflating: build/bin/tensor_iterator_test 2025-08-14T21:07:27.7797428Z inflating: build/bin/test_parallel 2025-08-14T21:07:27.7846000Z inflating: build/bin/thread_init_test 2025-08-14T21:07:27.7896495Z inflating: build/bin/type_ptr_test 2025-08-14T21:07:27.7946364Z inflating: build/bin/undefined_tensor_test 2025-08-14T21:07:27.8004719Z inflating: build/bin/type_test 2025-08-14T21:07:27.8052455Z inflating: build/bin/verify_api_visibility 2025-08-14T21:07:27.8123889Z inflating: build/bin/legacy_vmap_test 2025-08-14T21:07:27.8173216Z inflating: build/bin/weakref_test 2025-08-14T21:07:27.8222987Z inflating: build/bin/wrapdim_test 2025-08-14T21:07:27.8272837Z inflating: build/bin/xla_tensor_test 2025-08-14T21:07:27.8329762Z inflating: build/bin/IListRef_test 2025-08-14T21:07:27.8423377Z inflating: build/bin/List_test 2025-08-14T21:07:27.8485324Z inflating: build/bin/KernelFunction_test 2025-08-14T21:07:27.8609485Z inflating: build/bin/kernel_function_legacy_test 2025-08-14T21:07:27.8702758Z inflating: build/bin/kernel_function_test 2025-08-14T21:07:27.8802426Z inflating: build/bin/kernel_lambda_test 2025-08-14T21:07:27.8929217Z inflating: build/bin/kernel_lambda_legacy_test 2025-08-14T21:07:27.8987656Z inflating: build/bin/kernel_stackbased_test 2025-08-14T21:07:27.9082807Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-08-14T21:07:27.9131092Z inflating: build/bin/CppSignature_test 2025-08-14T21:07:27.9183589Z inflating: build/bin/backend_fallback_test 2025-08-14T21:07:27.9231270Z inflating: build/bin/op_allowlist_test 2025-08-14T21:07:27.9529608Z inflating: build/bin/op_registration_test 2025-08-14T21:07:27.9591409Z inflating: build/bin/inline_container_test 2025-08-14T21:07:27.9860940Z inflating: build/bin/test_nativert 2025-08-14T21:07:27.9925531Z inflating: build/bin/ProcessGroupGlooTest 2025-08-14T21:07:27.9928429Z inflating: build/bin/example_allreduce 2025-08-14T21:07:28.0973366Z inflating: build/bin/test_jit 2025-08-14T21:07:28.1026574Z inflating: build/bin/test_dist_autograd 2025-08-14T21:07:28.1091369Z inflating: build/bin/test_cpp_rpc 2025-08-14T21:07:28.2352235Z inflating: build/bin/test_api 2025-08-14T21:07:28.2354499Z inflating: build/bin/parallel_benchmark 2025-08-14T21:07:28.2666671Z inflating: build/bin/test_lazy 2025-08-14T21:07:28.2670440Z inflating: build/bin/torch_shm_manager 2025-08-14T21:07:28.2670780Z creating: .additional_ci_files/ 2025-08-14T21:07:28.2747727Z inflating: .additional_ci_files/test-times.json 2025-08-14T21:07:28.3040077Z inflating: .additional_ci_files/test-class-times.json 2025-08-14T21:07:28.3133075Z ##[group]Run rm artifacts.zip 2025-08-14T21:07:28.3133412Z rm artifacts.zip 2025-08-14T21:07:28.3139267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:28.3139642Z env: 2025-08-14T21:07:28.3139860Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:28.3140109Z ##[endgroup] 2025-08-14T21:07:28.3540907Z ##[group]Run df -H 2025-08-14T21:07:28.3541177Z df -H 2025-08-14T21:07:28.3547262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:28.3547629Z env: 2025-08-14T21:07:28.3547851Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:28.3548113Z ##[endgroup] 2025-08-14T21:07:28.3588525Z Filesystem Size Used Avail Use% Mounted on 2025-08-14T21:07:28.3588940Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-08-14T21:07:28.3589284Z tmpfs 17G 0 17G 0% /dev/shm 2025-08-14T21:07:28.3589619Z tmpfs 6.6G 517k 6.6G 1% /run 2025-08-14T21:07:28.3589939Z /dev/nvme0n1p1 161G 27G 135G 17% / 2025-08-14T21:07:28.3590266Z tmpfs 17G 13k 17G 1% /tmp 2025-08-14T21:07:28.3590766Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-08-14T21:07:28.3623800Z Prepare all required actions 2025-08-14T21:07:28.3624623Z Getting action download info 2025-08-14T21:07:28.5446397Z ##[group]Run ./.github/actions/download-td-artifacts 2025-08-14T21:07:28.5446765Z with: 2025-08-14T21:07:28.5446963Z env: 2025-08-14T21:07:28.5447178Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:28.5447425Z ##[endgroup] 2025-08-14T21:07:28.5568497Z ##[group]Run seemethere/download-artifact-s3@v4 2025-08-14T21:07:28.5568836Z with: 2025-08-14T21:07:28.5569049Z name: td_results 2025-08-14T21:07:28.5569299Z s3-bucket: gha-artifacts 2025-08-14T21:07:28.5569723Z region: us-east-1 2025-08-14T21:07:28.5569958Z env: 2025-08-14T21:07:28.5570179Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:28.5570443Z ##[endgroup] 2025-08-14T21:07:29.0130673Z (node:42489) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-08-14T21:07:29.0131249Z 2025-08-14T21:07:29.0131509Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-08-14T21:07:29.0132035Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-08-14T21:07:29.0132588Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-08-14T21:07:29.1180491Z Found 1 objects with prefix pytorch/pytorch/16976255017/td_results/ 2025-08-14T21:07:29.1181153Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-14T21:07:29.1840272Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-08-14T21:07:29.1845504Z Artifact download has finished successfully 2025-08-14T21:07:29.2008766Z ##[group]Run mkdir -p .additional_ci_files 2025-08-14T21:07:29.2009157Z mkdir -p .additional_ci_files 2025-08-14T21:07:29.2009598Z mv td_results.json .additional_ci_files/td_results.json || true 2025-08-14T21:07:29.2016068Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:29.2016457Z env: 2025-08-14T21:07:29.2016705Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:29.2016957Z ##[endgroup] 2025-08-14T21:07:29.2134844Z ##[group]Run .github/scripts/parse_ref.py 2025-08-14T21:07:29.2135235Z .github/scripts/parse_ref.py 2025-08-14T21:07:29.2140767Z shell: /usr/bin/bash -e {0} 2025-08-14T21:07:29.2141045Z env: 2025-08-14T21:07:29.2141263Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:29.2141514Z ##[endgroup] 2025-08-14T21:07:29.2345902Z Setting output branch=main 2025-08-14T21:07:29.2473528Z Prepare all required actions 2025-08-14T21:07:29.2473938Z Getting action download info 2025-08-14T21:07:29.3785175Z ##[group]Run ./.github/actions/filter-test-configs 2025-08-14T21:07:29.3785542Z with: 2025-08-14T21:07:29.3786178Z github-token: *** 2025-08-14T21:07:29.3789016Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-14T21:07:29.3792054Z job-name: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:07:29.3792487Z env: 2025-08-14T21:07:29.3792702Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:29.3792963Z ##[endgroup] 2025-08-14T21:07:29.3837172Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T21:07:29.3837473Z with: 2025-08-14T21:07:29.3837687Z shell: bash 2025-08-14T21:07:29.3837917Z timeout_minutes: 10 2025-08-14T21:07:29.3838150Z max_attempts: 5 2025-08-14T21:07:29.3838389Z retry_wait_seconds: 30 2025-08-14T21:07:29.3839169Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:07:29.3840008Z polling_interval_seconds: 1 2025-08-14T21:07:29.3840280Z warning_on_retry: true 2025-08-14T21:07:29.3840540Z continue_on_error: false 2025-08-14T21:07:29.3840958Z env: 2025-08-14T21:07:29.3841156Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:29.3841627Z GITHUB_TOKEN: *** 2025-08-14T21:07:29.3841864Z ##[endgroup] 2025-08-14T21:07:29.4773202Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-08-14T21:07:29.7120646Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T21:07:29.9843724Z Collecting requests==2.27.1 2025-08-14T21:07:30.0008197Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-08-14T21:07:30.2085333Z Collecting pyyaml==6.0.2 2025-08-14T21:07:30.2118718Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-08-14T21:07:30.2667476Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-08-14T21:07:30.2671377Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-08-14T21:07:30.3344004Z Collecting certifi>=2017.4.17 2025-08-14T21:07:30.3378874Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-08-14T21:07:30.7278744Z Collecting charset-normalizer~=2.0.0 2025-08-14T21:07:30.7311298Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-08-14T21:07:30.8400372Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-08-14T21:07:31.1264044Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-08-14T21:07:31.4592414Z Command completed after 1 attempt(s). 2025-08-14T21:07:31.4709365Z ##[group]Run set -x 2025-08-14T21:07:31.4709636Z set -x 2025-08-14T21:07:31.4709866Z  2025-08-14T21:07:31.4710234Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:07:31.4710896Z # in runner workspace 2025-08-14T21:07:31.4711285Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-08-14T21:07:31.4717992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:31.4718376Z env: 2025-08-14T21:07:31.4718597Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:31.4718859Z ##[endgroup] 2025-08-14T21:07:31.4742285Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-08-14T21:07:31.4919212Z Setting output branch=main 2025-08-14T21:07:31.5071448Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:07:31.5071878Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-08-14T21:07:31.5072207Z echo "Job name: ${JOB_NAME}" 2025-08-14T21:07:31.5072500Z  2025-08-14T21:07:31.5072881Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-08-14T21:07:31.5073360Z # in runner workspace 2025-08-14T21:07:31.5073788Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-08-14T21:07:31.5074268Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-08-14T21:07:31.5074616Z  --job-name "${JOB_NAME}" \ 2025-08-14T21:07:31.5077737Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]}" \ 2025-08-14T21:07:31.5080794Z  --selected-test-configs "" \ 2025-08-14T21:07:31.5081136Z  --pr-number "${PR_NUMBER}" \ 2025-08-14T21:07:31.5081441Z  --tag "${TAG}" \ 2025-08-14T21:07:31.5081733Z  --event-name "${EVENT_NAME}" \ 2025-08-14T21:07:31.5082063Z  --schedule "${SCHEDULE}" \ 2025-08-14T21:07:31.5082375Z  --branch "${HEAD_BRANCH}" 2025-08-14T21:07:31.5088141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:31.5088522Z env: 2025-08-14T21:07:31.5088753Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:31.5089386Z GITHUB_TOKEN: *** 2025-08-14T21:07:31.5089784Z JOB_NAME: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:07:31.5090237Z PR_NUMBER: 2025-08-14T21:07:31.5090454Z TAG: 2025-08-14T21:07:31.5090662Z EVENT_NAME: push 2025-08-14T21:07:31.5090894Z SCHEDULE: 2025-08-14T21:07:31.5091111Z HEAD_BRANCH: main 2025-08-14T21:07:31.5091360Z ##[endgroup] 2025-08-14T21:07:31.5114306Z Workflow: pull 2025-08-14T21:07:31.5114789Z Job name: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:07:31.8462941Z Setting output keep-going=True 2025-08-14T21:07:31.8463325Z Setting output ci-verbose-test-logs=False 2025-08-14T21:07:31.8463670Z Setting output ci-test-showlocals=False 2025-08-14T21:07:31.8464024Z Setting output ci-no-test-timeout=False 2025-08-14T21:07:31.8464347Z Setting output ci-no-td=False 2025-08-14T21:07:31.8464656Z Setting output ci-td-distributed=False 2025-08-14T21:07:31.8464970Z Setting output is-unstable=False 2025-08-14T21:07:31.8465275Z Setting output reenabled-issues= 2025-08-14T21:07:31.8468514Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]} 2025-08-14T21:07:31.8471492Z Setting output is-test-matrix-empty=False 2025-08-14T21:07:31.8680330Z ##[group]Run echo "Filtered matrix:" 2025-08-14T21:07:31.8680694Z echo "Filtered matrix:" 2025-08-14T21:07:31.8683566Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "lf.linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "lf.linux.2xlarge"}]}" 2025-08-14T21:07:31.8686425Z  2025-08-14T21:07:31.8686637Z echo 2025-08-14T21:07:31.8686896Z echo "Is the current job unstable? False" 2025-08-14T21:07:31.8687363Z  2025-08-14T21:07:31.8687571Z echo 2025-08-14T21:07:31.8687814Z echo "Is keep-going label set? True" 2025-08-14T21:07:31.8688138Z  2025-08-14T21:07:31.8688342Z echo 2025-08-14T21:07:31.8688565Z echo "Reenabled issues? " 2025-08-14T21:07:31.8694271Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:31.8694649Z env: 2025-08-14T21:07:31.8694855Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:31.8695117Z ##[endgroup] 2025-08-14T21:07:31.8717577Z Filtered matrix: 2025-08-14T21:07:31.8721660Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: lf.linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: lf.linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: lf.linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: lf.linux.2xlarge}]} 2025-08-14T21:07:31.8724344Z 2025-08-14T21:07:31.8724477Z Is the current job unstable? False 2025-08-14T21:07:31.8724680Z 2025-08-14T21:07:31.8724785Z Is keep-going label set? True 2025-08-14T21:07:31.8724976Z 2025-08-14T21:07:31.8725067Z Reenabled issues? 2025-08-14T21:07:31.8830686Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:07:31.8831210Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-08-14T21:07:31.8836758Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:31.8837139Z env: 2025-08-14T21:07:31.8837356Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:31.8837625Z JOB_TIMEOUT: 240 2025-08-14T21:07:31.8837853Z ##[endgroup] 2025-08-14T21:07:31.8956006Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:07:31.8956529Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:07:31.8956975Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-08-14T21:07:31.8962408Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T21:07:31.8962787Z env: 2025-08-14T21:07:31.8963010Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:31.8963261Z ##[endgroup] 2025-08-14T21:07:31.9169854Z ##[group]Run set -x 2025-08-14T21:07:31.9170207Z set -x 2025-08-14T21:07:31.9170422Z  2025-08-14T21:07:31.9170677Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-08-14T21:07:31.9171077Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-08-14T21:07:31.9171466Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-08-14T21:07:31.9171827Z  TEST_COMMAND=.ci/onnx/test.sh 2025-08-14T21:07:31.9172145Z else 2025-08-14T21:07:31.9172398Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:07:31.9172693Z fi 2025-08-14T21:07:31.9172902Z  2025-08-14T21:07:31.9173168Z # Leaving 1GB for the runner and other things 2025-08-14T21:07:31.9173732Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-08-14T21:07:31.9174606Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-08-14T21:07:31.9175308Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-08-14T21:07:31.9175822Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-08-14T21:07:31.9176464Z  2025-08-14T21:07:31.9176733Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:07:31.9177069Z  SHM_OPTS= 2025-08-14T21:07:31.9177318Z  JENKINS_USER= 2025-08-14T21:07:31.9177834Z  # ensure that docker container cleanly exits in 12 hours 2025-08-14T21:07:31.9178304Z  # if for some reason cleanup action doesn't stop container 2025-08-14T21:07:31.9178701Z  # when job is cancelled 2025-08-14T21:07:31.9179018Z  DOCKER_SHELL_CMD="sleep 12h" 2025-08-14T21:07:31.9179321Z else 2025-08-14T21:07:31.9179558Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-08-14T21:07:31.9196065Z  JENKINS_USER="--user jenkins" 2025-08-14T21:07:31.9196674Z  DOCKER_SHELL_CMD= 2025-08-14T21:07:31.9197082Z fi 2025-08-14T21:07:31.9197301Z  2025-08-14T21:07:31.9197633Z # detached container should get cleaned up by teardown_ec2_linux 2025-08-14T21:07:31.9198174Z # TODO: Stop building test binaries as part of the build phase 2025-08-14T21:07:31.9198785Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-08-14T21:07:31.9199336Z # shellcheck disable=SC2086,SC2090 2025-08-14T21:07:31.9199661Z container_name=$(docker run \ 2025-08-14T21:07:31.9199964Z  ${GPU_FLAG:-} \ 2025-08-14T21:07:31.9200263Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-08-14T21:07:31.9200598Z  -e BUILD_ENVIRONMENT \ 2025-08-14T21:07:31.9200897Z  -e PR_NUMBER \ 2025-08-14T21:07:31.9201171Z  -e GITHUB_ACTIONS \ 2025-08-14T21:07:31.9201450Z  -e GITHUB_REPOSITORY \ 2025-08-14T21:07:31.9201742Z  -e GITHUB_WORKFLOW \ 2025-08-14T21:07:31.9202019Z  -e GITHUB_JOB \ 2025-08-14T21:07:31.9202278Z  -e GITHUB_RUN_ID \ 2025-08-14T21:07:31.9202546Z  -e GITHUB_RUN_NUMBER \ 2025-08-14T21:07:31.9202836Z  -e GITHUB_RUN_ATTEMPT \ 2025-08-14T21:07:31.9203120Z  -e JOB_ID \ 2025-08-14T21:07:31.9203356Z  -e JOB_NAME \ 2025-08-14T21:07:31.9203608Z  -e BASE_SHA \ 2025-08-14T21:07:31.9203858Z  -e BRANCH \ 2025-08-14T21:07:31.9204090Z  -e SHA1 \ 2025-08-14T21:07:31.9204332Z  -e AWS_DEFAULT_REGION \ 2025-08-14T21:07:31.9204614Z  -e IN_WHEEL_TEST \ 2025-08-14T21:07:31.9204872Z  -e SHARD_NUMBER \ 2025-08-14T21:07:31.9205135Z  -e TEST_CONFIG \ 2025-08-14T21:07:31.9205401Z  -e NUM_TEST_SHARDS \ 2025-08-14T21:07:31.9205670Z  -e REENABLED_ISSUES \ 2025-08-14T21:07:31.9205967Z  -e CONTINUE_THROUGH_ERROR \ 2025-08-14T21:07:31.9206486Z  -e VERBOSE_TEST_LOGS \ 2025-08-14T21:07:31.9206787Z  -e TEST_SHOWLOCALS \ 2025-08-14T21:07:31.9207058Z  -e NO_TEST_TIMEOUT \ 2025-08-14T21:07:31.9207326Z  -e NO_TD \ 2025-08-14T21:07:31.9207575Z  -e TD_DISTRIBUTED \ 2025-08-14T21:07:31.9207836Z  -e PR_LABELS \ 2025-08-14T21:07:31.9208121Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-08-14T21:07:31.9208444Z  -e SCCACHE_BUCKET \ 2025-08-14T21:07:31.9208714Z  -e SCCACHE_REGION \ 2025-08-14T21:07:31.9208977Z  -e XLA_CUDA \ 2025-08-14T21:07:31.9209263Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-08-14T21:07:31.9209621Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-08-14T21:07:31.9209981Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-08-14T21:07:31.9210350Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-08-14T21:07:31.9210693Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-08-14T21:07:31.9211015Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-08-14T21:07:31.9211337Z  -e DASHBOARD_TAG \ 2025-08-14T21:07:31.9211628Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-08-14T21:07:31.9211977Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-08-14T21:07:31.9212395Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-08-14T21:07:31.9212811Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-08-14T21:07:31.9213292Z  --security-opt seccomp=unconfined \ 2025-08-14T21:07:31.9213620Z  --cap-add=SYS_PTRACE \ 2025-08-14T21:07:31.9213914Z  --ipc=host \ 2025-08-14T21:07:31.9214174Z  ${SHM_OPTS} \ 2025-08-14T21:07:31.9214412Z  --tty \ 2025-08-14T21:07:31.9214650Z  --detach \ 2025-08-14T21:07:31.9214966Z  --name="${container_name}" \ 2025-08-14T21:07:31.9215268Z  ${JENKINS_USER} \ 2025-08-14T21:07:31.9215615Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-08-14T21:07:31.9216023Z  -w /var/lib/jenkins/workspace \ 2025-08-14T21:07:31.9216349Z  "${DOCKER_IMAGE}" \ 2025-08-14T21:07:31.9216619Z  ${DOCKER_SHELL_CMD} 2025-08-14T21:07:31.9216883Z ) 2025-08-14T21:07:31.9217175Z # Propagate download.pytorch.org IP to container 2025-08-14T21:07:31.9217825Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-08-14T21:07:31.9218540Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-08-14T21:07:31.9218946Z  2025-08-14T21:07:31.9219212Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-08-14T21:07:31.9219772Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-08-14T21:07:31.9220286Z fi 2025-08-14T21:07:31.9220494Z  2025-08-14T21:07:31.9220973Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-08-14T21:07:31.9227010Z shell: /usr/bin/bash -e {0} 2025-08-14T21:07:31.9227287Z env: 2025-08-14T21:07:31.9227509Z GIT_DEFAULT_BRANCH: main 2025-08-14T21:07:31.9227812Z BUILD_ENVIRONMENT: linux-jammy-py3.13-clang12 2025-08-14T21:07:31.9228152Z PR_NUMBER: 2025-08-14T21:07:31.9228397Z GITHUB_REPOSITORY: pytorch/pytorch 2025-08-14T21:07:31.9228689Z GITHUB_WORKFLOW: pull 2025-08-14T21:07:31.9228949Z GITHUB_JOB: test 2025-08-14T21:07:31.9229188Z GITHUB_RUN_ID: 16976255017 2025-08-14T21:07:31.9229448Z GITHUB_RUN_NUMBER: 346100 2025-08-14T21:07:31.9229715Z GITHUB_RUN_ATTEMPT: 1 2025-08-14T21:07:31.9229960Z JOB_ID: 48127032070 2025-08-14T21:07:31.9230336Z JOB_NAME: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:07:31.9230787Z BRANCH: main 2025-08-14T21:07:31.9231048Z SHA1: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:07:31.9231423Z BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:07:31.9231853Z TEST_CONFIG: default 2025-08-14T21:07:31.9232104Z SHARD_NUMBER: 1 2025-08-14T21:07:31.9232339Z NUM_TEST_SHARDS: 5 2025-08-14T21:07:31.9232569Z REENABLED_ISSUES: 2025-08-14T21:07:31.9232826Z CONTINUE_THROUGH_ERROR: True 2025-08-14T21:07:31.9233114Z VERBOSE_TEST_LOGS: False 2025-08-14T21:07:31.9233369Z TEST_SHOWLOCALS: False 2025-08-14T21:07:31.9233633Z NO_TEST_TIMEOUT: False 2025-08-14T21:07:31.9233890Z NO_TD: False 2025-08-14T21:07:31.9234109Z TD_DISTRIBUTED: False 2025-08-14T21:07:31.9234422Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-08-14T21:07:31.9234791Z SCCACHE_REGION: us-east-1 2025-08-14T21:07:31.9235054Z SHM_SIZE: 1g 2025-08-14T21:07:31.9235762Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:07:31.9236547Z XLA_CUDA: 2025-08-14T21:07:31.9236905Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:07:31.9237355Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-08-14T21:07:31.9237679Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-08-14T21:07:31.9237980Z DASHBOARD_TAG: 2025-08-14T21:07:31.9238431Z HUGGING_FACE_HUB_TOKEN: *** 2025-08-14T21:07:31.9238832Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-08-14T21:07:31.9239252Z ARTIFACTS_FILE_SUFFIX: test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T21:07:31.9239675Z ##[endgroup] 2025-08-14T21:07:31.9262931Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-08-14T21:07:31.9263312Z + [[ linux-jammy-py3.13-clang12 == *onnx* ]] 2025-08-14T21:07:31.9263658Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-08-14T21:07:31.9266126Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-08-14T21:07:31.9284830Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 ' 2025-08-14T21:07:31.9285188Z + TOTAL_MEMORY_WITH_SWAP=32 2025-08-14T21:07:31.9285509Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-08-14T21:07:31.9285846Z + SHM_OPTS=--shm-size=1g 2025-08-14T21:07:31.9286130Z + JENKINS_USER='--user jenkins' 2025-08-14T21:07:31.9286405Z + DOCKER_SHELL_CMD= 2025-08-14T21:07:31.9293164Z +++ nproc --ignore=2 2025-08-14T21:07:31.9514286Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=29g --memory-swap=32g --env-file=/tmp/github_env_16976255017 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T21:07:52.2111123Z + container_name=3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T21:07:52.2112824Z + grep download.pytorch.org /etc/hosts 2025-08-14T21:07:52.2114463Z + docker exec -i 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d sudo bash -c '/bin/cat >> /etc/hosts' 2025-08-14T21:07:52.3919156Z + echo DOCKER_CONTAINER_ID=3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T21:07:52.3919849Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-08-14T21:07:52.3923525Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp313-cp313-linux_x86_64.whl 2025-08-14T21:07:52.3926001Z + docker exec -t 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp313-cp313-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-08-14T21:07:52.7560825Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp313-cp313-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c) 2025-08-14T21:07:53.2515239Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0) 2025-08-14T21:07:53.2518540Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1) 2025-08-14T21:07:53.2523482Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (80.9.0) 2025-08-14T21:07:53.2527187Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3) 2025-08-14T21:07:53.2530905Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8) 2025-08-14T21:07:53.2533757Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6) 2025-08-14T21:07:53.2537478Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.5.1) 2025-08-14T21:07:53.2551044Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0) 2025-08-14T21:07:53.2657024Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.1.2) 2025-08-14T21:07:53.2702663Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0) 2025-08-14T21:07:53.2748243Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2) 2025-08-14T21:07:53.4857865Z Installing collected packages: torch 2025-08-14T21:08:03.1040321Z Successfully installed torch-2.9.0a0+git1fc683c 2025-08-14T21:08:03.1760962Z + export TERM=vt100 2025-08-14T21:08:03.1761269Z + TERM=vt100 2025-08-14T21:08:03.1762548Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:08:03.1771126Z + source .ci/pytorch/common.sh 2025-08-14T21:08:03.1774047Z +++ dirname .ci/pytorch/common.sh 2025-08-14T21:08:03.1780269Z ++ source .ci/pytorch/common_utils.sh 2025-08-14T21:08:03.1781434Z +++ declare -f -t trap_add 2025-08-14T21:08:03.1785836Z ++ set -ex -o pipefail 2025-08-14T21:08:03.1786147Z ++ [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-14T21:08:03.1786489Z ++ BUILD_TEST_LIBTORCH=0 2025-08-14T21:08:03.1789046Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:08:03.1795270Z + source .ci/pytorch/common-build.sh 2025-08-14T21:08:03.1796474Z ++ [[ linux-jammy-py3.13-clang12 != *win-* ]] 2025-08-14T21:08:03.1801950Z ++++ dirname .ci/pytorch/common-build.sh 2025-08-14T21:08:03.1808534Z +++ cd .ci/pytorch 2025-08-14T21:08:03.1809230Z +++ pwd -P 2025-08-14T21:08:03.1810834Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-08-14T21:08:03.1811264Z ++ [[ linux-jammy-py3.13-clang12 == *-pch* ]] 2025-08-14T21:08:03.1811574Z ++ which sccache 2025-08-14T21:08:03.1820790Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-08-14T21:08:03.1821179Z ++ sccache --stop-server 2025-08-14T21:08:03.1850899Z ++ true 2025-08-14T21:08:03.1851159Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-08-14T21:08:03.1856182Z ++ trap_add sccache_epilogue EXIT 2025-08-14T21:08:03.1856494Z ++ trap_add_cmd=sccache_epilogue 2025-08-14T21:08:03.1856771Z ++ shift 2025-08-14T21:08:03.1856995Z ++ for trap_add_name in "$@" 2025-08-14T21:08:03.1863314Z ++++ trap -p EXIT 2025-08-14T21:08:03.1865262Z +++ eval 'extract_trap_cmd ' 2025-08-14T21:08:03.1865640Z ++++ extract_trap_cmd 2025-08-14T21:08:03.1865963Z ++++ printf '%s\n' '' 2025-08-14T21:08:03.1866489Z +++ printf '%s\n' sccache_epilogue 2025-08-14T21:08:03.1868266Z ++ trap -- ' 2025-08-14T21:08:03.1868502Z sccache_epilogue' EXIT 2025-08-14T21:08:03.1869088Z ++ [[ -n 1 ]] 2025-08-14T21:08:03.1869660Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-08-14T21:08:03.1870467Z Skipping sccache server initialization, setting environment variables 2025-08-14T21:08:03.1870988Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:08:03.1871280Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:08:03.1871631Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:08:03.1872079Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:08:03.1872480Z ++ export RUST_LOG=sccache::server=error 2025-08-14T21:08:03.1872791Z ++ RUST_LOG=sccache::server=error 2025-08-14T21:08:03.1873082Z ++ sccache --zero-stats 2025-08-14T21:08:03.2965611Z Statistics zeroed. 2025-08-14T21:08:03.2970946Z ++ which ccache 2025-08-14T21:08:03.2982129Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-14T21:08:03.2982793Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-08-14T21:08:03.2983152Z + [[ -d /var/lib/jenkins/workspace ]] 2025-08-14T21:08:03.2985242Z ++ stat -c %u /var/lib/jenkins/workspace 2025-08-14T21:08:03.2996584Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-08-14T21:08:03.2996943Z + trap_add cleanup_workspace EXIT 2025-08-14T21:08:03.2997260Z + trap_add_cmd=cleanup_workspace 2025-08-14T21:08:03.2997543Z + shift 2025-08-14T21:08:03.2997754Z + for trap_add_name in "$@" 2025-08-14T21:08:03.3003042Z +++ trap -p EXIT 2025-08-14T21:08:03.3005402Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-08-14T21:08:03.3005725Z sccache_epilogue'\'' EXIT' 2025-08-14T21:08:03.3006018Z +++ extract_trap_cmd trap -- ' 2025-08-14T21:08:03.3006301Z sccache_epilogue' EXIT 2025-08-14T21:08:03.3006555Z +++ printf '%s\n' ' 2025-08-14T21:08:03.3006782Z sccache_epilogue' 2025-08-14T21:08:03.3007040Z ++ printf '%s\n' cleanup_workspace 2025-08-14T21:08:03.3008431Z + trap -- ' 2025-08-14T21:08:03.3008645Z sccache_epilogue 2025-08-14T21:08:03.3008902Z cleanup_workspace' EXIT 2025-08-14T21:08:03.3009226Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-08-14T21:08:03.8948754Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-08-14T21:08:03.8963718Z + echo 'Environment variables:' 2025-08-14T21:08:03.8964048Z Environment variables: 2025-08-14T21:08:03.8964297Z + env 2025-08-14T21:08:03.8971266Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:08:03.8971927Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:08:03.8972367Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-08-14T21:08:03.8972695Z HOSTNAME=3f19798739b2 2025-08-14T21:08:03.8973384Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.8974099Z GITHUB_ACTION=__run_2 2025-08-14T21:08:03.8974412Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:08:03.8974746Z GITHUB_RUN_NUMBER=346100 2025-08-14T21:08:03.8975008Z TEST_CONFIG=default 2025-08-14T21:08:03.8975354Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:08:03.8975686Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:08:03.8976195Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:08:03.8976931Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:08:03.8977260Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:08:03.8977634Z GITHUB_REF_TYPE=branch 2025-08-14T21:08:03.8977900Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:08:03.8978293Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.8978618Z XLA_CUDA= 2025-08-14T21:08:03.8979115Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:08:03.8979574Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:08:03.8980153Z *** 2025-08-14T21:08:03.8980367Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:08:03.8980730Z GITHUB_ACTIONS=true 2025-08-14T21:08:03.8981031Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:08:03.8981484Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.8981851Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.8982442Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-08-14T21:08:03.8982968Z UCC_HOME=/usr 2025-08-14T21:08:03.8983183Z VERBOSE_TEST_LOGS=False 2025-08-14T21:08:03.8983440Z GITHUB_REF=refs/heads/main 2025-08-14T21:08:03.8983775Z SHARD_NUMBER=1 2025-08-14T21:08:03.8983996Z GITHUB_REF_PROTECTED=true 2025-08-14T21:08:03.8984258Z HOME=/var/lib/jenkins 2025-08-14T21:08:03.8984620Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:08:03.8984940Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:08:03.8985308Z UCX_COMMIT= 2025-08-14T21:08:03.8985525Z USE_SYSTEM_NCCL=1 2025-08-14T21:08:03.8985749Z NUM_TEST_SHARDS=5 2025-08-14T21:08:03.8986064Z UCX_HOME=/usr 2025-08-14T21:08:03.8986690Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.8987477Z JOB_NAME=linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:08:03.8988413Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.8989207Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:08:03.8989774Z GITHUB_EVENT_NAME=push 2025-08-14T21:08:03.8990019Z DASHBOARD_TAG= 2025-08-14T21:08:03.8990250Z GITHUB_RUN_ID=16976255017 2025-08-14T21:08:03.8990511Z INSTALLED_OPENBLAS= 2025-08-14T21:08:03.8991110Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.8991795Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:08:03.8992070Z PR_NUMBER= 2025-08-14T21:08:03.8992269Z DESIRED_CUDA= 2025-08-14T21:08:03.8992495Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:08:03.8992752Z ANACONDA_PYTHON_VERSION=3.13 2025-08-14T21:08:03.8993090Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:08:03.8993454Z TERM=vt100 2025-08-14T21:08:03.8993722Z INSTALLED_VISION=yes 2025-08-14T21:08:03.8993975Z BRANCH=main 2025-08-14T21:08:03.8994186Z SCCACHE_REGION=us-east-1 2025-08-14T21:08:03.8994460Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:08:03.8994744Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:08:03.8995243Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:08:03.8995822Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:08:03.8996118Z UCC_COMMIT= 2025-08-14T21:08:03.8996319Z REENABLED_ISSUES= 2025-08-14T21:08:03.8996544Z DOCS= 2025-08-14T21:08:03.8996742Z SHLVL=1 2025-08-14T21:08:03.8996940Z MAX_JOBS=14 2025-08-14T21:08:03.8997160Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:08:03.8997503Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.8997873Z GITHUB_REF_NAME=main 2025-08-14T21:08:03.8998256Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:08:03.8998688Z GITHUB_JOB=test 2025-08-14T21:08:03.8998906Z NO_TEST_TIMEOUT=False 2025-08-14T21:08:03.8999160Z TD_DISTRIBUTED=False 2025-08-14T21:08:03.8999422Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:08:03.8999720Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:08:03.8999973Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:08:03.9000239Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:08:03.9001104Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:08:03.9001903Z GITHUB_BASE_REF= 2025-08-14T21:08:03.9002124Z INSTALLED_ACL= 2025-08-14T21:08:03.9002603Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T21:08:03.9003025Z CI=true 2025-08-14T21:08:03.9003269Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:08:03.9003602Z RUST_LOG=sccache::server=error 2025-08-14T21:08:03.9003888Z JOB_ID=48127032070 2025-08-14T21:08:03.9004106Z GITHUB_HEAD_REF= 2025-08-14T21:08:03.9004343Z GITHUB_ACTION_REF= 2025-08-14T21:08:03.9004638Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:08:03.9004993Z TEST_SHOWLOCALS=False 2025-08-14T21:08:03.9005253Z GITHUB_WORKFLOW=pull 2025-08-14T21:08:03.9005521Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:08:03.9006128Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.9006762Z NO_TD=False 2025-08-14T21:08:03.9006995Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:08:03.9007305Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:08:03.9007604Z _=/usr/bin/env 2025-08-14T21:08:03.9007927Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-08-14T21:08:03.9116175Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch 2025-08-14T21:08:03.9117000Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T21:08:03.9117714Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib 2025-08-14T21:08:03.9118392Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/test 2025-08-14T21:08:03.9119112Z + BUILD_DIR=build 2025-08-14T21:08:03.9119351Z + BUILD_RENAMED_DIR=build_renamed 2025-08-14T21:08:03.9119724Z + BUILD_BIN_DIR=build/bin 2025-08-14T21:08:03.9119980Z + SHARD_NUMBER=1 2025-08-14T21:08:03.9120212Z + NUM_TEST_SHARDS=5 2025-08-14T21:08:03.9120533Z + export TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:08:03.9120847Z + TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:08:03.9121209Z + export VALGRIND=ON 2025-08-14T21:08:03.9121471Z + VALGRIND=ON 2025-08-14T21:08:03.9121733Z + [[ linux-jammy-py3.13-clang12 == *clang9* ]] 2025-08-14T21:08:03.9122086Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-14T21:08:03.9122447Z + [[ linux-jammy-py3.13-clang12 == *s390x* ]] 2025-08-14T21:08:03.9122762Z + [[ 0 == \1 ]] 2025-08-14T21:08:03.9122985Z + [[ True == \1 ]] 2025-08-14T21:08:03.9123235Z + [[ linux-jammy-py3.13-clang12 != *bazel* ]] 2025-08-14T21:08:03.9123578Z ++ realpath build/custom_test_artifacts 2025-08-14T21:08:03.9129263Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-08-14T21:08:03.9129754Z + [[ -n '' ]] 2025-08-14T21:08:03.9129995Z + echo 'Environment variables' 2025-08-14T21:08:03.9130285Z Environment variables 2025-08-14T21:08:03.9130512Z + env 2025-08-14T21:08:03.9136316Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T21:08:03.9136884Z CONTINUE_THROUGH_ERROR=True 2025-08-14T21:08:03.9137297Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-08-14T21:08:03.9137682Z HOSTNAME=3f19798739b2 2025-08-14T21:08:03.9138332Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.9139089Z GITHUB_ACTION=__run_2 2025-08-14T21:08:03.9139399Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-08-14T21:08:03.9139804Z GITHUB_RUN_NUMBER=346100 2025-08-14T21:08:03.9140097Z TEST_CONFIG=default 2025-08-14T21:08:03.9140386Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-08-14T21:08:03.9140701Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-08-14T21:08:03.9141109Z SCCACHE_IDLE_TIMEOUT=0 2025-08-14T21:08:03.9141619Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-08-14T21:08:03.9141982Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-08-14T21:08:03.9142284Z GITHUB_REF_TYPE=branch 2025-08-14T21:08:03.9142691Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-08-14T21:08:03.9143061Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.9143503Z XLA_CUDA= 2025-08-14T21:08:03.9143859Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-08-14T21:08:03.9144482Z HUGGING_FACE_HUB_TOKEN=*** 2025-08-14T21:08:03.9144937Z *** 2025-08-14T21:08:03.9145411Z GITHUB_REPOSITORY_ID=65600975 2025-08-14T21:08:03.9145700Z GITHUB_ACTIONS=true 2025-08-14T21:08:03.9146075Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-08-14T21:08:03.9146450Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.9146821Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.9147325Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-08-14T21:08:03.9147776Z UCC_HOME=/usr 2025-08-14T21:08:03.9148009Z TORCH_SERIALIZATION_DEBUG=1 2025-08-14T21:08:03.9148285Z VERBOSE_TEST_LOGS=False 2025-08-14T21:08:03.9148531Z GITHUB_REF=refs/heads/main 2025-08-14T21:08:03.9148794Z SHARD_NUMBER=1 2025-08-14T21:08:03.9149027Z GITHUB_REF_PROTECTED=true 2025-08-14T21:08:03.9149292Z HOME=/var/lib/jenkins 2025-08-14T21:08:03.9149563Z GITHUB_API_URL=https://api.github.com 2025-08-14T21:08:03.9149897Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-08-14T21:08:03.9150192Z UCX_COMMIT= 2025-08-14T21:08:03.9150399Z USE_SYSTEM_NCCL=1 2025-08-14T21:08:03.9150636Z NUM_TEST_SHARDS=5 2025-08-14T21:08:03.9150865Z UCX_HOME=/usr 2025-08-14T21:08:03.9151411Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.9152189Z JOB_NAME=linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T21:08:03.9152941Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.9153812Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-08-14T21:08:03.9154309Z GITHUB_EVENT_NAME=push 2025-08-14T21:08:03.9154561Z DASHBOARD_TAG= 2025-08-14T21:08:03.9154796Z GITHUB_RUN_ID=16976255017 2025-08-14T21:08:03.9155048Z INSTALLED_OPENBLAS= 2025-08-14T21:08:03.9155658Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.9156337Z GITHUB_ACTOR=pytorchmergebot 2025-08-14T21:08:03.9156602Z PR_NUMBER= 2025-08-14T21:08:03.9156817Z DESIRED_CUDA= 2025-08-14T21:08:03.9157045Z GITHUB_RUN_ATTEMPT=1 2025-08-14T21:08:03.9157277Z VALGRIND=ON 2025-08-14T21:08:03.9157509Z ANACONDA_PYTHON_VERSION=3.13 2025-08-14T21:08:03.9157847Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-08-14T21:08:03.9158185Z TERM=vt100 2025-08-14T21:08:03.9158408Z INSTALLED_VISION=yes 2025-08-14T21:08:03.9158658Z BRANCH=main 2025-08-14T21:08:03.9158876Z SCCACHE_REGION=us-east-1 2025-08-14T21:08:03.9159158Z OPENSSL_ROOT_DIR=/opt/openssl 2025-08-14T21:08:03.9159446Z CUDA_PATH=/usr/local/cuda 2025-08-14T21:08:03.9159963Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-08-14T21:08:03.9160530Z GITHUB_SERVER_URL=https://github.com 2025-08-14T21:08:03.9160831Z UCC_COMMIT= 2025-08-14T21:08:03.9161049Z REENABLED_ISSUES= 2025-08-14T21:08:03.9161262Z DOCS= 2025-08-14T21:08:03.9161457Z SHLVL=1 2025-08-14T21:08:03.9161659Z MAX_JOBS=14 2025-08-14T21:08:03.9161871Z GITHUB_ACTOR_ID=97764156 2025-08-14T21:08:03.9162212Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T21:08:03.9162589Z GITHUB_REF_NAME=main 2025-08-14T21:08:03.9162954Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-08-14T21:08:03.9163385Z GITHUB_JOB=test 2025-08-14T21:08:03.9163612Z NO_TEST_TIMEOUT=False 2025-08-14T21:08:03.9163852Z TD_DISTRIBUTED=False 2025-08-14T21:08:03.9164121Z GITHUB_REPOSITORY=pytorch/pytorch 2025-08-14T21:08:03.9164423Z GITHUB_RETENTION_DAYS=90 2025-08-14T21:08:03.9164680Z OPENSSL_DIR=/opt/openssl 2025-08-14T21:08:03.9164948Z GITHUB_ACTION_REPOSITORY= 2025-08-14T21:08:03.9165713Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:08:03.9166510Z GITHUB_BASE_REF= 2025-08-14T21:08:03.9166731Z INSTALLED_ACL= 2025-08-14T21:08:03.9167171Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T21:08:03.9167601Z CI=true 2025-08-14T21:08:03.9167816Z GITHUB_REPOSITORY_OWNER=pytorch 2025-08-14T21:08:03.9168152Z RUST_LOG=sccache::server=error 2025-08-14T21:08:03.9168430Z JOB_ID=48127032070 2025-08-14T21:08:03.9168646Z GITHUB_HEAD_REF= 2025-08-14T21:08:03.9168875Z GITHUB_ACTION_REF= 2025-08-14T21:08:03.9169170Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-08-14T21:08:03.9169512Z TEST_SHOWLOCALS=False 2025-08-14T21:08:03.9169770Z GITHUB_WORKFLOW=pull 2025-08-14T21:08:03.9170030Z DEBIAN_FRONTEND=noninteractive 2025-08-14T21:08:03.9170646Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f38f6125-0191-4c23-b4ba-94348f9716d5 2025-08-14T21:08:03.9171256Z NO_TD=False 2025-08-14T21:08:03.9171489Z SKIP_SCCACHE_INITIALIZATION=1 2025-08-14T21:08:03.9171795Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-08-14T21:08:03.9172093Z _=/usr/bin/env 2025-08-14T21:08:03.9172325Z + echo 'Testing pytorch' 2025-08-14T21:08:03.9172585Z Testing pytorch 2025-08-14T21:08:03.9172878Z + export LANG=C.UTF-8 2025-08-14T21:08:03.9173126Z + LANG=C.UTF-8 2025-08-14T21:08:03.9173371Z + PR_NUMBER= 2025-08-14T21:08:03.9173591Z + [[ default == \d\e\f\a\u\l\t ]] 2025-08-14T21:08:03.9173893Z + export CUDA_VISIBLE_DEVICES=0 2025-08-14T21:08:03.9174181Z + CUDA_VISIBLE_DEVICES=0 2025-08-14T21:08:03.9174441Z + export HIP_VISIBLE_DEVICES=0 2025-08-14T21:08:03.9174726Z + HIP_VISIBLE_DEVICES=0 2025-08-14T21:08:03.9175090Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-08-14T21:08:03.9175401Z + [[ default == \s\l\o\w ]] 2025-08-14T21:08:03.9175713Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-08-14T21:08:03.9176361Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-08-14T21:08:03.9176715Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-14T21:08:03.9177049Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-14T21:08:03.9177377Z + [[ default == *crossref* ]] 2025-08-14T21:08:03.9177679Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-14T21:08:03.9178016Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-14T21:08:03.9178365Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-08-14T21:08:03.9178702Z + pip_install ninja==1.10.2 2025-08-14T21:08:03.9179052Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-08-14T21:08:03.9179512Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-08-14T21:08:05.2922846Z Collecting ninja==1.10.2 2025-08-14T21:08:05.3086731Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-08-14T21:08:05.3581514Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-08-14T21:08:05.5668213Z Installing collected packages: ninja 2025-08-14T21:08:05.5668618Z Attempting uninstall: ninja 2025-08-14T21:08:05.5703781Z Found existing installation: ninja 1.11.1.3 2025-08-14T21:08:05.5725247Z Uninstalling ninja-1.11.1.3: 2025-08-14T21:08:05.5841280Z Successfully uninstalled ninja-1.11.1.3 2025-08-14T21:08:05.6259605Z Successfully installed ninja-1.10.2 2025-08-14T21:08:05.6934475Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:08:05.6936227Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-08-14T21:08:05.6937300Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-08-14T21:08:05.6937753Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-08-14T21:08:05.6938112Z + [[ linux-jammy-py3.13-clang12 == *-debug* ]] 2025-08-14T21:08:05.6938565Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-08-14T21:08:05.6939155Z + echo 'We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass' 2025-08-14T21:08:05.6940146Z We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass 2025-08-14T21:08:05.6940693Z + cd test 2025-08-14T21:08:05.6941066Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-08-14T21:08:07.1263948Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-08-14T21:08:07.1264356Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-08-14T21:08:07.1264803Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-08-14T21:08:07.1267981Z + DYNAMO_BENCHMARK_FLAGS=() 2025-08-14T21:08:07.1268588Z + [[ default == *pr_time_benchmarks* ]] 2025-08-14T21:08:07.1268904Z + [[ default == *dynamo_eager* ]] 2025-08-14T21:08:07.1269274Z + [[ default == *aot_eager* ]] 2025-08-14T21:08:07.1269565Z + [[ default == *aot_inductor* ]] 2025-08-14T21:08:07.1269926Z + [[ default == *max_autotune_inductor* ]] 2025-08-14T21:08:07.1270260Z + [[ default == *inductor* ]] 2025-08-14T21:08:07.1270557Z + [[ default == *dynamic* ]] 2025-08-14T21:08:07.1270883Z + [[ default == *cpu* ]] 2025-08-14T21:08:07.1271168Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-08-14T21:08:07.1292299Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-08-14T21:08:07.1292742Z + [[ linux-jammy-py3.13-clang12 == *-bazel-* ]] 2025-08-14T21:08:07.1295233Z + cd test 2025-08-14T21:08:07.1295701Z + python -c 'import torch; print(torch.__config__.show())' 2025-08-14T21:08:08.2428561Z PyTorch built with: 2025-08-14T21:08:08.2428894Z - GCC 4.2 2025-08-14T21:08:08.2429108Z - C++ Version: 201703 2025-08-14T21:08:08.2429688Z - clang 12.0.1 2025-08-14T21:08:08.2430237Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:08:08.2430965Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:08:08.2431378Z - OpenMP 201811 2025-08-14T21:08:08.2431659Z - LAPACK is enabled (usually provided by MKL) 2025-08-14T21:08:08.2431998Z - NNPACK is enabled 2025-08-14T21:08:08.2432252Z - CPU capability usage: AVX512 2025-08-14T21:08:08.2437374Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-08-14T21:08:08.2442573Z 2025-08-14T21:08:08.5399816Z + cd test 2025-08-14T21:08:08.5400207Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-08-14T21:08:09.6433969Z ATen/Parallel: 2025-08-14T21:08:09.6434358Z at::get_num_threads() : 8 2025-08-14T21:08:09.6434654Z at::get_num_interop_threads() : 8 2025-08-14T21:08:09.6434950Z OpenMP 201811 2025-08-14T21:08:09.6435185Z omp_get_max_threads() : 8 2025-08-14T21:08:09.6435750Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-08-14T21:08:09.6436333Z mkl_get_max_threads() : 8 2025-08-14T21:08:09.6436722Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-08-14T21:08:09.6437177Z std::thread::hardware_concurrency() : 16 2025-08-14T21:08:09.6437755Z Environment variables: 2025-08-14T21:08:09.6438026Z OMP_NUM_THREADS : [not set] 2025-08-14T21:08:09.6438310Z MKL_NUM_THREADS : [not set] 2025-08-14T21:08:09.6438584Z ATen parallel backend: OpenMP 2025-08-14T21:08:09.6438786Z 2025-08-14T21:08:09.9299180Z + [[ default == *numpy_2* ]] 2025-08-14T21:08:09.9299586Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-08-14T21:08:09.9300024Z + [[ default == *backward* ]] 2025-08-14T21:08:09.9300326Z + [[ default == *xla* ]] 2025-08-14T21:08:09.9300600Z + [[ default == *executorch* ]] 2025-08-14T21:08:09.9300892Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-08-14T21:08:09.9301234Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-08-14T21:08:09.9301568Z + [[ default == distributed ]] 2025-08-14T21:08:09.9301861Z + [[ default == *operator_benchmark* ]] 2025-08-14T21:08:09.9302187Z + [[ default == *inductor_distributed* ]] 2025-08-14T21:08:09.9302517Z + [[ default == *inductor-halide* ]] 2025-08-14T21:08:09.9302836Z + [[ default == *inductor-triton-cpu* ]] 2025-08-14T21:08:09.9303183Z + [[ default == *inductor-micro-benchmark* ]] 2025-08-14T21:08:09.9303517Z + [[ default == *huggingface* ]] 2025-08-14T21:08:09.9303788Z + [[ default == *timm* ]] 2025-08-14T21:08:09.9304048Z + [[ default == cachebench ]] 2025-08-14T21:08:09.9304331Z + [[ default == verify_cachebench ]] 2025-08-14T21:08:09.9304622Z + [[ default == *torchbench* ]] 2025-08-14T21:08:09.9304918Z + [[ default == *inductor_cpp_wrapper* ]] 2025-08-14T21:08:09.9305476Z + [[ default == *inductor* ]] 2025-08-14T21:08:09.9305738Z + [[ default == *einops* ]] 2025-08-14T21:08:09.9306092Z + [[ default == *dynamo_wrapped* ]] 2025-08-14T21:08:09.9306421Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-08-14T21:08:09.9306718Z + [[ 1 == 1 ]] 2025-08-14T21:08:09.9306951Z + [[ 5 -gt 1 ]] 2025-08-14T21:08:09.9307211Z + test_lazy_tensor_meta_reference_disabled 2025-08-14T21:08:09.9307610Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-08-14T21:08:09.9308036Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-08-14T21:08:09.9308481Z + echo 'Testing lazy tensor operations without meta reference' 2025-08-14T21:08:09.9308933Z Testing lazy tensor operations without meta reference 2025-08-14T21:08:09.9309394Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-08-14T21:08:12.3021312Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:08:12.3022934Z import pkg_resources 2025-08-14T21:08:13.8328895Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-14T21:08:13.8840331Z Ignoring disabled issues: [''] 2025-08-14T21:08:13.8968373Z Found test times from artifacts 2025-08-14T21:08:13.9467992Z Found test times from artifacts 2025-08-14T21:08:13.9484338Z Running all tests 2025-08-14T21:08:13.9487554Z Running parallel tests on 3 processes 2025-08-14T21:08:13.9487916Z Name: tests to run (est. time: 0.42min) 2025-08-14T21:08:13.9488226Z Serial tests (0): 2025-08-14T21:08:13.9488470Z Parallel tests (1): 2025-08-14T21:08:13.9488714Z lazy/test_ts_opinfo 1/1 2025-08-14T21:08:13.9488996Z Name: excluded (est. time: 0.0min) 2025-08-14T21:08:13.9489309Z Serial tests (0): 2025-08-14T21:08:13.9489602Z Parallel tests (0): 2025-08-14T21:08:13.9490096Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:08:13.948869] 2025-08-14T21:08:13.9490512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:08:13.9494068Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:08:13.949184] 2025-08-14T21:08:18.3223273Z 2025-08-14T21:08:18.3224236Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_392fe71daea58d4f_.log 2025-08-14T21:08:18.3225062Z Running 0 items in this shard: 2025-08-14T21:08:18.3225262Z 2025-08-14T21:08:18.5781546Z Uploading artifacts took 0.26 seconds 2025-08-14T21:08:21.0203689Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:08:21.0205206Z import pkg_resources 2025-08-14T21:08:21.0626357Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:08:21.0627804Z import pkg_resources 2025-08-14T21:08:21.0928231Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:08:21.0930074Z import pkg_resources 2025-08-14T21:08:21.1389729Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:08:21.138718] 2025-08-14T21:08:21.1390165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:08:21.1392873Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:08:21.139071] 2025-08-14T21:08:36.7747450Z 2025-08-14T21:08:36.7748434Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_ad33349ab7afbb30_.log 2025-08-14T21:08:36.7855781Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-08-14T21:08:36.7962522Z 2025-08-14T21:08:37.5880254Z Running test batch 'tests to run' cost 23.64 seconds 2025-08-14T21:08:38.4223519Z 2025-08-14T21:08:38.4223957Z real 0m28.492s 2025-08-14T21:08:38.4224218Z user 1m29.696s 2025-08-14T21:08:38.4224443Z sys 0m4.628s 2025-08-14T21:08:38.4224771Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-08-14T21:08:38.4225159Z + test_without_numpy 2025-08-14T21:08:38.4227968Z ++ dirname .ci/pytorch/test.sh 2025-08-14T21:08:38.4238059Z + pushd .ci/pytorch 2025-08-14T21:08:38.4238404Z ~/workspace/.ci/pytorch ~/workspace 2025-08-14T21:08:38.4239241Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-08-14T21:08:39.0671311Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:82.) 2025-08-14T21:08:39.0672835Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-14T21:08:39.7256145Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-08-14T21:08:40.3902377Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:82.) 2025-08-14T21:08:40.3903777Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-14T21:08:40.7794653Z tensor([0., 1.]) 2025-08-14T21:08:41.0606099Z + [[ default == *dynamo_wrapped* ]] 2025-08-14T21:08:41.0606662Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-08-14T21:08:41.7088411Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:82.) 2025-08-14T21:08:41.7089860Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-08-14T21:08:42.4023342Z + popd 2025-08-14T21:08:42.4023587Z ~/workspace 2025-08-14T21:08:42.4023815Z + install_torchvision 2025-08-14T21:08:42.4024089Z + local orig_preload 2025-08-14T21:08:42.4024315Z + local commit 2025-08-14T21:08:42.4027231Z ++ get_pinned_commit vision 2025-08-14T21:08:42.4027552Z ++ cat .github/ci_commit_pins/vision.txt 2025-08-14T21:08:42.4038138Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:42.4038588Z + orig_preload= 2025-08-14T21:08:42.4038871Z + '[' -n '' ']' 2025-08-14T21:08:42.4039121Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-08-14T21:08:42.4039856Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-08-14T21:08:42.4040763Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:42.4041317Z + local wheel_dir=dist/vision 2025-08-14T21:08:42.4041606Z + local found_whl=0 2025-08-14T21:08:42.4041864Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:08:42.4042167Z + [[ -f dist/vision/*.whl ]] 2025-08-14T21:08:42.4042423Z + '[' 0 == 0 ']' 2025-08-14T21:08:42.4043161Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:42.7194956Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:42.7199910Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-buf0hv_h 2025-08-14T21:08:42.7218574Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-buf0hv_h 2025-08-14T21:08:44.2101635Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-08-14T21:08:44.2119416Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:44.3545782Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:44.6627857Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-08-14T21:08:46.6962394Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-08-14T21:08:46.7004286Z [?25hBuilding wheels for collected packages: torchvision 2025-08-14T21:08:46.7050299Z  DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-08-14T21:09:39.2933510Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-08-14T21:09:39.2971661Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl size=1201346 sha256=b27803060b1ebad1bff98a87142afde9a582a880c32f431662c6fc02ccfd05b4 2025-08-14T21:09:39.2972929Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/89/53/07/16d05bff0990e585bfa232438657da6e5e4f6d0cea71bd3e09 2025-08-14T21:09:39.3009419Z Successfully built torchvision 2025-08-14T21:09:39.3905239Z + for file in "${wheel_dir}"/*.whl 2025-08-14T21:09:39.3905901Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-14T21:09:39.3906605Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl') 2025-08-14T21:09:39.3907081Z + local args 2025-08-14T21:09:39.3907492Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl == *\ * ]] 2025-08-14T21:09:39.3907989Z + for path in "${args[@]}" 2025-08-14T21:09:39.3908451Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl' 2025-08-14T21:09:39.3909439Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-14T21:09:39.3910238Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-14T21:09:39.7208487Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl 2025-08-14T21:09:39.7309780Z Installing collected packages: torchvision 2025-08-14T21:09:40.1984377Z Successfully installed torchvision-0.22.0a0+966da7e 2025-08-14T21:09:40.2502355Z + '[' -n '' ']' 2025-08-14T21:09:40.2502607Z + test_python_shard 1 2025-08-14T21:09:40.2502851Z + [[ -z 5 ]] 2025-08-14T21:09:40.2503464Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 5 --verbose --upload-artifacts-while-running 2025-08-14T21:09:42.6274841Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:09:42.6276502Z import pkg_resources 2025-08-14T21:09:44.1602384Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-14T21:09:44.1725697Z Found test times from artifacts 2025-08-14T21:09:44.2230881Z Found test times from artifacts 2025-08-14T21:09:44.2246193Z Running all tests 2025-08-14T21:09:44.2626359Z Running parallel tests on 3 processes 2025-08-14T21:09:44.2632712Z Name: tests to run (est. time: 74.71min) 2025-08-14T21:09:44.2633036Z Serial tests (47): 2025-08-14T21:09:44.2633306Z inductor/test_distributed_patterns 1/1 2025-08-14T21:09:44.2633639Z test_ci_sanity_check_fail 1/1 2025-08-14T21:09:44.2633947Z test_cpp_extensions_mtia_backend 1/1 2025-08-14T21:09:44.2634257Z test_tensor_creation_ops 1/1 2025-08-14T21:09:44.2634568Z test_cpp_extensions_stream_and_event 1/1 2025-08-14T21:09:44.2634924Z test_reductions 1/1 2025-08-14T21:09:44.2635160Z test_nn 1/1 2025-08-14T21:09:44.2635391Z test_overrides 1/1 2025-08-14T21:09:44.2635637Z doctests 1/1 2025-08-14T21:09:44.2635869Z inductor/test_max_autotune 1/1 2025-08-14T21:09:44.2636175Z inductor/test_flex_attention 1/1 2025-08-14T21:09:44.2636485Z inductor/test_benchmark_fusion 1/1 2025-08-14T21:09:44.2636788Z inductor/test_cutlass_backend 1/1 2025-08-14T21:09:44.2647630Z dynamo/test_fake_distributed 1/1 2025-08-14T21:09:44.2647982Z test_cpp_api_parity 1/1 2025-08-14T21:09:44.2648271Z test_transformers_privateuse1 1/1 2025-08-14T21:09:44.2648595Z test_extension_utils 1/1 2025-08-14T21:09:44.2648901Z test_fx 1/1 2025-08-14T21:09:44.2649138Z test_fake_tensor 1/1 2025-08-14T21:09:44.2649386Z test_openreg 1/1 2025-08-14T21:09:44.2649637Z test_show_pickle 1/1 2025-08-14T21:09:44.2649904Z test_tensorexpr 1/1 2025-08-14T21:09:44.2650143Z test_torch 1/1 2025-08-14T21:09:44.2650382Z test_utils 1/1 2025-08-14T21:09:44.2650651Z test_python_dispatch 1/1 2025-08-14T21:09:44.2650956Z test_dispatch 1/1 2025-08-14T21:09:44.2651333Z test_namedtuple_return_api 1/1 2025-08-14T21:09:44.2651728Z test_multiprocessing 1/1 2025-08-14T21:09:44.2652004Z test_autograd_fallback 1/1 2025-08-14T21:09:44.2652289Z test_jit_disabled 1/1 2025-08-14T21:09:44.2652553Z test_autocast 1/1 2025-08-14T21:09:44.2652800Z test_cuda_trace 1/1 2025-08-14T21:09:44.2653048Z test_native_mha 1/1 2025-08-14T21:09:44.2653302Z test_sort_and_select 1/1 2025-08-14T21:09:44.2653583Z test_cuda_nvml_based_avail 1/1 2025-08-14T21:09:44.2653875Z test_cpp_extensions_jit 1/1 2025-08-14T21:09:44.2654304Z nn/test_pooling 1/1 2025-08-14T21:09:44.2654599Z test_cuda_primary_ctx 1/1 2025-08-14T21:09:44.2654870Z test_mobile_optimizer 1/1 2025-08-14T21:09:44.2655167Z test_multiprocessing_spawn 1/1 2025-08-14T21:09:44.2655471Z nn/test_convolution 1/1 2025-08-14T21:09:44.2655735Z test_spectral_ops 1/1 2025-08-14T21:09:44.2656214Z distributions/test_distributions 1/1 2025-08-14T21:09:44.2656547Z test_autoload_enable 1/1 2025-08-14T21:09:44.2656828Z test_cpp_extensions_aot_no_ninja 1/1 2025-08-14T21:09:44.2657153Z test_autoload_disable 1/1 2025-08-14T21:09:44.2657450Z test_cpp_extensions_aot_ninja 1/1 2025-08-14T21:09:44.2657744Z Parallel tests (82): 2025-08-14T21:09:44.2658016Z inductor/test_cudagraph_trees 1/1 2025-08-14T21:09:44.2658337Z inductor/test_aot_inductor 1/1 2025-08-14T21:09:44.2658640Z dynamo/test_unspec 1/1 2025-08-14T21:09:44.2658923Z inductor/test_mkldnn_pattern_matcher 1/3 2025-08-14T21:09:44.2659262Z inductor/test_triton_wrapper 1/1 2025-08-14T21:09:44.2659583Z inductor/test_split_cat_fx_passes 1/1 2025-08-14T21:09:44.2659893Z inductor/test_padding 1/1 2025-08-14T21:09:44.2660200Z inductor/test_cpu_select_algorithm 4/15 2025-08-14T21:09:44.2660547Z inductor/test_cpu_select_algorithm 7/15 2025-08-14T21:09:44.2660880Z inductor/test_cpu_select_algorithm 9/15 2025-08-14T21:09:44.2661211Z inductor/test_triton_syntax 1/1 2025-08-14T21:09:44.2661542Z inductor/test_triton_extension_backend 1/1 2025-08-14T21:09:44.2661876Z inductor/test_memory_planning 1/1 2025-08-14T21:09:44.2662199Z inductor/test_cpu_cpp_wrapper 2/8 2025-08-14T21:09:44.2662521Z inductor/test_cpu_cpp_wrapper 3/8 2025-08-14T21:09:44.2662839Z inductor/test_cpu_cpp_wrapper 6/8 2025-08-14T21:09:44.2663244Z inductor/test_cudacodecache 1/1 2025-08-14T21:09:44.2663560Z inductor/test_quantization 1/1 2025-08-14T21:09:44.2663870Z inductor/test_fxir_backend 1/1 2025-08-14T21:09:44.2664199Z dynamo/test_cudagraphs_expandable_segments 1/1 2025-08-14T21:09:44.2664558Z test_quantization 4/4 2025-08-14T21:09:44.2664835Z test_dynamic_shapes 1/1 2025-08-14T21:09:44.2665126Z higher_order_ops/test_invoke_subgraph 1/1 2025-08-14T21:09:44.2665454Z test_package 1/1 2025-08-14T21:09:44.2665784Z test_hop_infra 1/1 2025-08-14T21:09:44.2666041Z test_comparison_utils 1/1 2025-08-14T21:09:44.2666331Z functorch/test_ac_logging 1/1 2025-08-14T21:09:44.2666622Z test_mkl_verbose 1/1 2025-08-14T21:09:44.2666890Z test_appending_byte_serializer 1/1 2025-08-14T21:09:44.2667199Z test_autoload 1/1 2025-08-14T21:09:44.2667450Z test_proxy_tensor 1/2 2025-08-14T21:09:44.2667717Z test_mkldnn_verbose 1/1 2025-08-14T21:09:44.2667982Z test_utils_config_module 1/1 2025-08-14T21:09:44.2668289Z test_functionalization 1/1 2025-08-14T21:09:44.2668615Z test_rename_privateuse1_to_existing_device 1/1 2025-08-14T21:09:44.2668952Z test_transformers 1/2 2025-08-14T21:09:44.2669225Z test_nestedtensor 2/4 2025-08-14T21:09:44.2669486Z test_jiterator 1/1 2025-08-14T21:09:44.2669722Z test_decomp 3/11 2025-08-14T21:09:44.2669968Z test_decomp 5/11 2025-08-14T21:09:44.2670210Z test_decomp 9/11 2025-08-14T21:09:44.2670434Z test_hub 1/1 2025-08-14T21:09:44.2670699Z test_set_default_mobile_cpu_allocator 1/1 2025-08-14T21:09:44.2671050Z test_cuda_expandable_segments 1/1 2025-08-14T21:09:44.2671338Z test_stateless 1/1 2025-08-14T21:09:44.2671615Z distributions/test_constraints 1/1 2025-08-14T21:09:44.2671941Z profiler/test_record_function 1/1 2025-08-14T21:09:44.2672237Z nn/test_lazy_modules 1/1 2025-08-14T21:09:44.2672512Z test_jit_fuser_te 1/1 2025-08-14T21:09:44.2672783Z test_segment_reductions 1/1 2025-08-14T21:09:44.2673076Z test_import_stats 1/1 2025-08-14T21:09:44.2673324Z test_masked 1/1 2025-08-14T21:09:44.2673559Z test_monitor 1/1 2025-08-14T21:09:44.2673819Z profiler/test_cpp_thread 1/1 2025-08-14T21:09:44.2674094Z test_subclass 1/1 2025-08-14T21:09:44.2674354Z profiler/test_profiler 1/1 2025-08-14T21:09:44.2674659Z functorch/test_vmap_registrations 1/1 2025-08-14T21:09:44.2674966Z nn/test_pruning 1/1 2025-08-14T21:09:44.2675215Z test_itt 1/1 2025-08-14T21:09:44.2675480Z torch_np/numpy_tests/core/test_numeric 1/1 2025-08-14T21:09:44.2675918Z test_sympy_utils 1/1 2025-08-14T21:09:44.2676390Z torch_np/test_indexing 1/1 2025-08-14T21:09:44.2676719Z torch_np/numpy_tests/lib/test_function_base 1/1 2025-08-14T21:09:44.2677048Z test_jit 1/1 2025-08-14T21:09:44.2677292Z nn/test_packed_sequence 1/1 2025-08-14T21:09:44.2677727Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 2025-08-14T21:09:44.2678181Z functorch/test_ops 1/6 2025-08-14T21:09:44.2678477Z functorch/test_aotdispatch 4/6 2025-08-14T21:09:44.2678781Z test_schema_check 1/1 2025-08-14T21:09:44.2679047Z test_datapipe 1/1 2025-08-14T21:09:44.2679288Z test_bundled_inputs 1/1 2025-08-14T21:09:44.2679577Z profiler/test_execution_trace 1/1 2025-08-14T21:09:44.2679886Z lazy/test_generator 1/1 2025-08-14T21:09:44.2680173Z torch_np/numpy_tests/core/test_indexing 1/1 2025-08-14T21:09:44.2680506Z test_maskedtensor 1/1 2025-08-14T21:09:44.2680771Z test_tensorboard 1/1 2025-08-14T21:09:44.2681059Z torch_np/numpy_tests/lib/test_type_check 1/1 2025-08-14T21:09:44.2681392Z lazy/test_ts_opinfo 1/1 2025-08-14T21:09:44.2681661Z test_mkldnn_fusion 1/1 2025-08-14T21:09:44.2681941Z benchmark_utils/test_benchmark_utils 1/1 2025-08-14T21:09:44.2682265Z test_linalg 1/1 2025-08-14T21:09:44.2682501Z test_accelerator 1/1 2025-08-14T21:09:44.2682758Z Name: excluded (est. time: 0.0min) 2025-08-14T21:09:44.2683044Z Serial tests (0): 2025-08-14T21:09:44.2683404Z Parallel tests (0): 2025-08-14T21:09:44.2683812Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-14 21:09:44.265066] 2025-08-14T21:09:44.2684286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:09:44.2685369Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:09:44.265374] 2025-08-14T21:10:17.3777998Z 2025-08-14T21:10:17.3779248Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_09d57271fdd15039_.log 2025-08-14T21:10:17.3788850Z Running 20 items in this shard: test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_aot_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_fake_distributed_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_intermediate_hook_with_nested_closure, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_aot, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_eager, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_inductor, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_module_backward_hooks_multi_layers, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return3, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_nn_param_return4, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_nonzero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_cpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_storage_resize_zero_gpu, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_preserve_version_counter2, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter1, test/inductor/test_distributed_patterns.py::DistributedPatternTests::test_unsafe_set_version_counter2 2025-08-14T21:10:17.3797569Z 2025-08-14T21:10:17.6946163Z Uploading artifacts took 0.32 seconds 2025-08-14T21:10:17.6948978Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-14 21:10:17.694715] 2025-08-14T21:10:17.6949516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:10:17.6953007Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:10:17.695091] 2025-08-14T21:10:31.1083577Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-14 21:10:31.108013] 2025-08-14T21:10:31.1084099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:10:31.1085432Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:10:31.108317] 2025-08-14T21:10:34.9780919Z 2025-08-14T21:10:34.9781873Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_82cbb88d580f44d0_.log 2025-08-14T21:10:34.9785137Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device 2025-08-14T21:10:34.9787357Z 2025-08-14T21:10:34.9787596Z Running test_tensor_creation_ops 1/1 ... [2025-08-14 21:10:34.978288] 2025-08-14T21:10:34.9788019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:10:34.9789046Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:10:34.978612] 2025-08-14T21:10:55.2710833Z 2025-08-14T21:10:55.2711781Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_db89aec2c0e11a4b_.log 2025-08-14T21:10:55.2939476Z Running 641 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32 2025-08-14T21:10:55.3161970Z 2025-08-14T21:10:55.3162250Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-14 21:10:55.272060] 2025-08-14T21:10:55.3162719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:10:55.3163803Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:10:55.272366] 2025-08-14T21:10:59.1420884Z 2025-08-14T21:10:59.1422152Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_1ab0499ba5975e8a_.log 2025-08-14T21:10:59.1423443Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-08-14T21:10:59.1424178Z 2025-08-14T21:10:59.1424843Z Running test_reductions 1/1 ... [2025-08-14 21:10:59.142261] 2025-08-14T21:10:59.1425251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:10:59.1428086Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:10:59.142569] 2025-08-14T21:14:10.8775705Z 2025-08-14T21:14:10.8778572Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_6e54c80852d7b785_.log 2025-08-14T21:14:11.0446805Z Running 4673 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_all_any_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_amax_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_axis_with_dim_one_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_large_axis_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_bincount_cpu, test/test_reductions.py::TestReductionsCPU::test_bucketization_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_cumprod_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_cumsum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_duplicate_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsorted_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsupported_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsupported_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsupported_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsupported_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_unsupported_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_multi_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_ndim_limit_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_none_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_offbounds_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_max_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mean_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_median_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_min_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_mode_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_nanmedian_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_norm_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_fns_fn_name_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_lastdim_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_lastdim_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_reduction_less_than_64_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_single_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_all_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_any_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_std_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_var_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_empty_slice_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_all_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_any_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_std_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_var_cpu, test/test_reductions.py::TestReductionsCPU::test_empty_tensor_nonempty_slice_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_histc_cpu, test/test_reductions.py::TestReductionsCPU::test_histc_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_histc_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_corner_cases_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_corner_cases_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_corner_cases_cuda_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_corner_cases_cuda_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_corner_cases_cuda_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_corner_cases_cuda_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_errors_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_errors_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_errors_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_errors_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_errors_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_histc_min_max_errors_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_histogram_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_histogram_error_handling_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_histogramdd_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_identity_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_invalid_0dim_aminmax_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_invalid_0dim_aminmax_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_logcumsumexp_complex_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_logcumsumexp_complex_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_logsumexp_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_logsumexp_integral_promotion_cpu, test/test_reductions.py::TestReductionsCPU::test_max_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_max_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_max_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_max_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_max_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_max_elementwise_cpu, test/test_reductions.py::TestReductionsCPU::test_max_mixed_devices_cpu, test/test_reductions.py::TestReductionsCPU::test_max_with_inf_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_max_with_inf_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_max_with_inf_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_max_with_inf_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_mean_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_mean_int_with_optdtype_cpu, test/test_reductions.py::TestReductionsCPU::test_mean_out_is_alias_of_return_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_mean_out_is_alias_of_return_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_mean_out_is_alias_of_return_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_mean_out_is_alias_of_return_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_median_corner_cases_cpu, test/test_reductions.py::TestReductionsCPU::test_median_nan_values_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_median_nan_values_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_median_real_values_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_median_real_values_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_median_real_values_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_median_real_values_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_min_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_min_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_min_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_min_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_min_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_min_elementwise_cpu, test/test_reductions.py::TestReductionsCPU::test_min_max_nan_cpu, test/test_reductions.py::TestReductionsCPU::test_min_mixed_devices_cpu, test/test_reductions.py::TestReductionsCPU::test_min_with_inf_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_min_with_inf_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_min_with_inf_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_min_with_inf_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_minmax_illegal_dtype_cpu, test/test_reductions.py::TestReductionsCPU::test_mode_boolean_cpu, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_mode_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_mode_large_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_mode_wrong_device_cpu, test/test_reductions.py::TestReductionsCPU::test_mode_wrong_dtype_cpu, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_omit_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nan_policy_propagate_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nanmean_integral_types_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_nanmean_integral_types_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_nanmean_integral_types_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_nanmean_integral_types_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_nanmean_integral_types_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_nanmean_integral_types_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_nansum_complex_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_nansum_complex_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_nansum_out_dtype_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_nansum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_all_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_expanded_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_innermost_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_outermost_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_noncontiguous_transposed_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_numpy_named_args_cpu, test/test_reductions.py::TestReductionsCPU::test_prod_bool_cpu, test/test_reductions.py::TestReductionsCPU::test_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_prod_gpu_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_prod_gpu_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_prod_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_prod_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_prod_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_quantile_backward_cpu, test/test_reductions.py::TestReductionsCPU::test_quantile_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_quantile_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_quantile_error_cpu, test/test_reductions.py::TestReductionsCPU::test_reduce_dtype_cpu, test/test_reductions.py::TestReductionsCPU::test_reduction_empty_any_all_cpu, test/test_reductions.py::TestReductionsCPU::test_reduction_split_cpu, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_input_corner_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_input_corner_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_input_corner_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_input_corner_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_output_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_output_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_output_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reduction_vectorize_along_output_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reductions_large_half_tensors_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reductions_large_half_tensors_cpu_complex32, test/test_reductions.py::TestReductionsCPU::test_reductions_large_half_tensors_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_duplicate_values_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_extremal_values_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_1D_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_2D_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_large_input_64bit_indexing_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_scalar_input_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_ref_small_input_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_reference_masked_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_repeated_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype__refs_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_all_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_any_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_hash_tensor_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_linalg_vector_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_linalg_vector_norm_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_linalg_vector_norm_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_linalg_vector_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_linalg_vector_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_linalg_vector_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_amin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmax_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_argmin_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_logsumexp_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_norm_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_std_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_masked_var_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_cpu_device_mismatch_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_reduction_uint8_overflow_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2025-08-14T21:14:11.2073552Z 2025-08-14T21:14:11.2073735Z Running test_nn 1/1 ... [2025-08-14 21:14:10.883196] 2025-08-14T21:14:11.2074116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:14:11.2075069Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:14:10.883507] 2025-08-14T21:16:25.1831880Z 2025-08-14T21:16:25.1832974Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_21d4f88e802d7255_.log 2025-08-14T21:16:25.2956746Z Running 2230 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2025-08-14T21:16:25.4049407Z 2025-08-14T21:16:25.4049640Z Running test_overrides 1/1 ... [2025-08-14 21:16:25.186816] 2025-08-14T21:16:25.4050054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:16:25.4051053Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:16:25.187128] 2025-08-14T21:16:32.5615991Z 2025-08-14T21:16:32.5616951Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_e578e9bc8dc4fbec_.log 2025-08-14T21:16:32.6080921Z Running 1470 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___and__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array_wrap__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___bool__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___complex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___contains__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___div__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack_device__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___eq__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___float__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___floordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___format__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ge__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___getitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___gt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iadd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___idiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ifloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ilshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___index__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___int__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___invert__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ior__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___irshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___isub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ixor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___le__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___len__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___long__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___matmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ne__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___nonzero__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___or__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___radd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rdiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___reduce_ex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___repr__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___reversed__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rfloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rlshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmatmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ror__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rpow__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rrshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rsub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___rxor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___setitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___setstate__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___sub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___truediv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___xor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_full_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_reduced_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__clear_non_serializable_cached_data, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__coalesced_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimI, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimV, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__is_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_storage_offsets, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_strides, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nnz, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__sparse_mask_projection, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__update_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_abs_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_absolute_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_acosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_align_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_all, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_amin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_angle, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_any, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_apply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arccosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arcsinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_arctanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_backward, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_baddbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bernoulli_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bfloat16, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bool, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_byte, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cauchy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ccol_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cdouble, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cfloat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chalf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_char, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clone, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_coalesce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_col_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eig, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvalsh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_householder_product, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lstsq, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_rank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_multi_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_pinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_triangular, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svdvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorsolve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vander, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vecdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vector_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_gelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_linear, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_log_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_one_hot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_scaled_dot_product_attention, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_softplus, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_softshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_airy_ai, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_j1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_y0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_y1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_entr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfcx, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammainc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaincc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_h, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_he, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_laguerre_polynomial_l, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_legendre_polynomial_p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2025-08-14T21:16:32.6534320Z 2025-08-14T21:16:32.6534503Z Running doctests 1/1 ... [2025-08-14 21:16:32.563295] 2025-08-14T21:16:32.6536868Z Start doctest_module('/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch') 2025-08-14T21:16:32.6537458Z Listing tests 2025-08-14T21:16:32.8724342Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1493. 2025-08-14T21:16:32.8725224Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.8725594Z 2025-08-14T21:16:32.8725729Z dim_order(ambiguity_check=False) -> tuple 2025-08-14T21:16:32.8725967Z 2025-08-14T21:16:32.8726193Z Returns the uniquely determined tuple of int describing the dim order or 2025-08-14T21:16:32.8726668Z physical layout of :attr:`self`. 2025-08-14T21:16:32.8726860Z 2025-08-14T21:16:32.8727106Z The dim order represents how dimensions are laid out in memory of dense tensors, 2025-08-14T21:16:32.8727637Z starting from the outermost to the innermost dimension. 2025-08-14T21:16:32.8727919Z 2025-08-14T21:16:32.8728100Z Note that the dim order may not always be uniquely determined. 2025-08-14T21:16:32.8728767Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2025-08-14T21:16:32.8729843Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2025-08-14T21:16:32.8730585Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2025-08-14T21:16:32.8731263Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2025-08-14T21:16:32.8731810Z Otherwise, it will raise TypeError. 2025-08-14T21:16:32.8732013Z 2025-08-14T21:16:32.8732097Z Args: 2025-08-14T21:16:32.8732525Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2025-08-14T21:16:32.8732940Z 2025-08-14T21:16:32.8733073Z Examples:: 2025-08-14T21:16:32.8733194Z 2025-08-14T21:16:32.8733319Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2025-08-14T21:16:32.8733613Z (0, 1, 2, 3) 2025-08-14T21:16:32.8733909Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2025-08-14T21:16:32.8734264Z (0, 2, 1, 3) 2025-08-14T21:16:32.8734589Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2025-08-14T21:16:32.8735004Z (0, 2, 3, 1) 2025-08-14T21:16:32.8735255Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2025-08-14T21:16:32.8735545Z (0, 1, 2, 3) 2025-08-14T21:16:32.8735762Z >>> try: 2025-08-14T21:16:32.8736065Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2025-08-14T21:16:32.8736458Z ... except RuntimeError as e: 2025-08-14T21:16:32.8736738Z ... print(e) 2025-08-14T21:16:32.8737192Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2025-08-14T21:16:32.8737718Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2025-08-14T21:16:32.8738125Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2025-08-14T21:16:32.8738573Z ... ) # It can be mapped to contiguous format 2025-08-14T21:16:32.8738900Z (0, 1, 2, 3) 2025-08-14T21:16:32.8739106Z >>> try: 2025-08-14T21:16:32.8739413Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2025-08-14T21:16:32.8739814Z ... except TypeError as e: 2025-08-14T21:16:32.8740091Z ... print(e) 2025-08-14T21:16:32.8740452Z The ambiguity_check argument must be a bool or a list of memory formats. 2025-08-14T21:16:32.8740800Z 2025-08-14T21:16:32.8740889Z .. warning:: 2025-08-14T21:16:32.8741206Z The dim_order tensor API is experimental and subject to change. 2025-08-14T21:16:32.8741503Z 2025-08-14T21:16:32.8741870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.8742224Z 2025-08-14T21:16:32.9284065Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=446. 2025-08-14T21:16:32.9284899Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9285496Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2025-08-14T21:16:32.9285872Z 2025-08-14T21:16:32.9286044Z This is helpful when you want to visualize data over some 2025-08-14T21:16:32.9286478Z range of inputs. See below for a plotting example. 2025-08-14T21:16:32.9286730Z 2025-08-14T21:16:32.9286909Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2025-08-14T21:16:32.9287349Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2025-08-14T21:16:32.9287833Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2025-08-14T21:16:32.9288286Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2025-08-14T21:16:32.9288720Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2025-08-14T21:16:32.9289123Z to the result shape. 2025-08-14T21:16:32.9289296Z 2025-08-14T21:16:32.9289412Z .. note:: 2025-08-14T21:16:32.9289695Z 0D inputs are treated equivalently to 1D inputs of a 2025-08-14T21:16:32.9290225Z single element. 2025-08-14T21:16:32.9290406Z 2025-08-14T21:16:32.9290499Z .. warning:: 2025-08-14T21:16:32.9290822Z `torch.meshgrid(*tensors)` currently has the same behavior 2025-08-14T21:16:32.9291294Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2025-08-14T21:16:32.9291569Z 2025-08-14T21:16:32.9291715Z In the future `torch.meshgrid` will transition to 2025-08-14T21:16:32.9292085Z `indexing='xy'` as the default. 2025-08-14T21:16:32.9292296Z 2025-08-14T21:16:32.9292501Z https://github.com/pytorch/pytorch/issues/50276 tracks 2025-08-14T21:16:32.9292953Z this issue with the goal of migrating to NumPy's behavior. 2025-08-14T21:16:32.9293249Z 2025-08-14T21:16:32.9293337Z .. seealso:: 2025-08-14T21:16:32.9293485Z 2025-08-14T21:16:32.9293661Z :func:`torch.cartesian_prod` has the same effect but it 2025-08-14T21:16:32.9294056Z collects the data in a tensor of vectors. 2025-08-14T21:16:32.9294305Z 2025-08-14T21:16:32.9294387Z Args: 2025-08-14T21:16:32.9294777Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2025-08-14T21:16:32.9295298Z treated as tensors of size :math:`(1,)` automatically 2025-08-14T21:16:32.9295575Z 2025-08-14T21:16:32.9295747Z indexing: (str, optional): the indexing mode, either "xy" 2025-08-14T21:16:32.9296197Z or "ij", defaults to "ij". See warning for future changes. 2025-08-14T21:16:32.9296470Z 2025-08-14T21:16:32.9296631Z If "xy" is selected, the first dimension corresponds 2025-08-14T21:16:32.9297054Z to the cardinality of the second input and the second 2025-08-14T21:16:32.9297492Z dimension corresponds to the cardinality of the first 2025-08-14T21:16:32.9297860Z input. 2025-08-14T21:16:32.9298010Z 2025-08-14T21:16:32.9298154Z If "ij" is selected, the dimensions are in the same 2025-08-14T21:16:32.9298550Z order as the cardinality of the inputs. 2025-08-14T21:16:32.9298781Z 2025-08-14T21:16:32.9298879Z Returns: 2025-08-14T21:16:32.9299164Z seq (sequence of Tensors): If the input has :math:`N` 2025-08-14T21:16:32.9299590Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2025-08-14T21:16:32.9300031Z output will also have :math:`N` tensors, where each tensor 2025-08-14T21:16:32.9300444Z is of shape :math:`(S_0, ..., S_{N-1})`. 2025-08-14T21:16:32.9300767Z 2025-08-14T21:16:32.9300890Z Example:: 2025-08-14T21:16:32.9301106Z 2025-08-14T21:16:32.9301265Z >>> x = torch.tensor([1, 2, 3]) 2025-08-14T21:16:32.9301678Z >>> y = torch.tensor([4, 5, 6]) 2025-08-14T21:16:32.9301881Z 2025-08-14T21:16:32.9302088Z Observe the element-wise pairings across the grid, (1, 4), 2025-08-14T21:16:32.9302505Z (1, 5), ..., (3, 6). This is the same thing as the 2025-08-14T21:16:32.9302862Z cartesian product. 2025-08-14T21:16:32.9303212Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2025-08-14T21:16:32.9303562Z >>> grid_x 2025-08-14T21:16:32.9303810Z tensor([[1, 1, 1], 2025-08-14T21:16:32.9304081Z [2, 2, 2], 2025-08-14T21:16:32.9304330Z [3, 3, 3]]) 2025-08-14T21:16:32.9304594Z >>> grid_y 2025-08-14T21:16:32.9304837Z tensor([[4, 5, 6], 2025-08-14T21:16:32.9305103Z [4, 5, 6], 2025-08-14T21:16:32.9305358Z [4, 5, 6]]) 2025-08-14T21:16:32.9305536Z 2025-08-14T21:16:32.9305770Z This correspondence can be seen when these grids are 2025-08-14T21:16:32.9306148Z stacked properly. 2025-08-14T21:16:32.9306511Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2025-08-14T21:16:32.9306948Z ... torch.cartesian_prod(x, y)) 2025-08-14T21:16:32.9307378Z True 2025-08-14T21:16:32.9307513Z 2025-08-14T21:16:32.9307682Z `torch.meshgrid` is commonly used to produce a grid for 2025-08-14T21:16:32.9308054Z plotting. 2025-08-14T21:16:32.9308339Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2025-08-14T21:16:32.9308705Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2025-08-14T21:16:32.9309052Z >>> import matplotlib.pyplot as plt 2025-08-14T21:16:32.9309412Z >>> xs = torch.linspace(-5, 5, steps=100) 2025-08-14T21:16:32.9309771Z >>> ys = torch.linspace(-5, 5, steps=100) 2025-08-14T21:16:32.9310126Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2025-08-14T21:16:32.9310498Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2025-08-14T21:16:32.9310853Z >>> ax = plt.axes(projection='3d') 2025-08-14T21:16:32.9311213Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2025-08-14T21:16:32.9311570Z >>> plt.show() 2025-08-14T21:16:32.9311752Z 2025-08-14T21:16:32.9311879Z .. image:: ../_static/img/meshgrid.png 2025-08-14T21:16:32.9312194Z :width: 512 2025-08-14T21:16:32.9312343Z 2025-08-14T21:16:32.9312424Z 2025-08-14T21:16:32.9312776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9313142Z 2025-08-14T21:16:32.9313679Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=842. 2025-08-14T21:16:32.9314516Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9315234Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor] 2025-08-14T21:16:32.9315718Z 2025-08-14T21:16:32.9315863Z Returns the unique elements of the input tensor. 2025-08-14T21:16:32.9316109Z 2025-08-14T21:16:32.9316403Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2025-08-14T21:16:32.9317006Z this function also eliminates non-consecutive duplicate values. 2025-08-14T21:16:32.9317311Z 2025-08-14T21:16:32.9317533Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2025-08-14T21:16:32.9318142Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2025-08-14T21:16:32.9318807Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2025-08-14T21:16:32.9319479Z :func:`torch.unique_consecutive` which avoids the sorting. 2025-08-14T21:16:32.9319762Z 2025-08-14T21:16:32.9319846Z Args: 2025-08-14T21:16:32.9320079Z input (Tensor): the input tensor 2025-08-14T21:16:32.9320504Z sorted (bool): Whether to sort the unique elements in ascending order 2025-08-14T21:16:32.9320920Z before returning as output. 2025-08-14T21:16:32.9321336Z return_inverse (bool): Whether to also return the indices for where 2025-08-14T21:16:32.9321870Z elements in the original input ended up in the returned unique list. 2025-08-14T21:16:32.9322410Z return_counts (bool): Whether to also return the counts for each unique 2025-08-14T21:16:32.9322817Z element. 2025-08-14T21:16:32.9323167Z dim (int, optional): the dimension to operate upon. If ``None``, the 2025-08-14T21:16:32.9323684Z unique of the flattened input is returned. Otherwise, each of the 2025-08-14T21:16:32.9324184Z tensors indexed by the given dimension is treated as one of the 2025-08-14T21:16:32.9324697Z elements to apply the unique operation upon. See examples for more 2025-08-14T21:16:32.9325125Z details. Default: ``None`` 2025-08-14T21:16:32.9325323Z 2025-08-14T21:16:32.9325413Z Returns: 2025-08-14T21:16:32.9325829Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2025-08-14T21:16:32.9326220Z 2025-08-14T21:16:32.9326479Z - **output** (*Tensor*): the output list of unique scalar elements. 2025-08-14T21:16:32.9326923Z - **inverse_indices** (*Tensor*): (optional) if 2025-08-14T21:16:32.9327342Z :attr:`return_inverse` is True, there will be an additional 2025-08-14T21:16:32.9327819Z returned tensor (same shape as input) representing the indices 2025-08-14T21:16:32.9328320Z for where elements in the original input map to in the output; 2025-08-14T21:16:32.9328812Z otherwise, this function will only return a single tensor. 2025-08-14T21:16:32.9329214Z - **counts** (*Tensor*): (optional) if 2025-08-14T21:16:32.9329611Z :attr:`return_counts` is True, there will be an additional 2025-08-14T21:16:32.9330077Z returned tensor (same shape as output or output.size(dim), 2025-08-14T21:16:32.9330551Z if dim was specified) representing the number of occurrences 2025-08-14T21:16:32.9330945Z for each unique value or tensor. 2025-08-14T21:16:32.9331175Z 2025-08-14T21:16:32.9331262Z Example:: 2025-08-14T21:16:32.9331387Z 2025-08-14T21:16:32.9331604Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2025-08-14T21:16:32.9331998Z >>> output 2025-08-14T21:16:32.9332228Z tensor([1, 2, 3]) 2025-08-14T21:16:32.9332385Z 2025-08-14T21:16:32.9332520Z >>> output, inverse_indices = torch.unique( 2025-08-14T21:16:32.9332980Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-14T21:16:32.9333397Z >>> output 2025-08-14T21:16:32.9333628Z tensor([1, 2, 3]) 2025-08-14T21:16:32.9333883Z >>> inverse_indices 2025-08-14T21:16:32.9334132Z tensor([0, 2, 1, 2]) 2025-08-14T21:16:32.9334308Z 2025-08-14T21:16:32.9334431Z >>> output, inverse_indices = torch.unique( 2025-08-14T21:16:32.9334894Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-14T21:16:32.9335315Z >>> output 2025-08-14T21:16:32.9335551Z tensor([1, 2, 3]) 2025-08-14T21:16:32.9335812Z >>> inverse_indices 2025-08-14T21:16:32.9336062Z tensor([[0, 2], 2025-08-14T21:16:32.9336308Z [1, 2]]) 2025-08-14T21:16:32.9336473Z 2025-08-14T21:16:32.9336571Z >>> a = torch.tensor([ 2025-08-14T21:16:32.9336836Z ... [ 2025-08-14T21:16:32.9337052Z ... [1, 1, 0, 0], 2025-08-14T21:16:32.9337320Z ... [1, 1, 0, 0], 2025-08-14T21:16:32.9337647Z ... [0, 0, 1, 1], 2025-08-14T21:16:32.9337900Z ... ], 2025-08-14T21:16:32.9338122Z ... [ 2025-08-14T21:16:32.9338349Z ... [0, 0, 1, 1], 2025-08-14T21:16:32.9338607Z ... [0, 0, 1, 1], 2025-08-14T21:16:32.9338877Z ... [1, 1, 1, 1], 2025-08-14T21:16:32.9339146Z ... ], 2025-08-14T21:16:32.9339356Z ... [ 2025-08-14T21:16:32.9339580Z ... [1, 1, 0, 0], 2025-08-14T21:16:32.9339854Z ... [1, 1, 0, 0], 2025-08-14T21:16:32.9340110Z ... [0, 0, 1, 1], 2025-08-14T21:16:32.9340375Z ... ], 2025-08-14T21:16:32.9340594Z ... ]) 2025-08-14T21:16:32.9340719Z 2025-08-14T21:16:32.9340939Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2025-08-14T21:16:32.9341448Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2025-08-14T21:16:32.9341898Z >>> # each other, so one of them will be removed. 2025-08-14T21:16:32.9342244Z >>> (a[0, :, :] == a[2, :, :]).all() 2025-08-14T21:16:32.9342529Z tensor(True) 2025-08-14T21:16:32.9342798Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2025-08-14T21:16:32.9343124Z >>> a_unique_dim0 2025-08-14T21:16:32.9343372Z tensor([[[0, 0, 1, 1], 2025-08-14T21:16:32.9343636Z [0, 0, 1, 1], 2025-08-14T21:16:32.9343894Z [1, 1, 1, 1]], 2025-08-14T21:16:32.9344213Z [[1, 1, 0, 0], 2025-08-14T21:16:32.9344469Z [1, 1, 0, 0], 2025-08-14T21:16:32.9344727Z [0, 0, 1, 1]]]) 2025-08-14T21:16:32.9344897Z 2025-08-14T21:16:32.9345119Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2025-08-14T21:16:32.9345521Z >>> # `a_unique_dim0`: 2025-08-14T21:16:32.9345933Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2025-08-14T21:16:32.9346253Z tensor(True) 2025-08-14T21:16:32.9346512Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2025-08-14T21:16:32.9346826Z tensor(True) 2025-08-14T21:16:32.9346968Z 2025-08-14T21:16:32.9347177Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2025-08-14T21:16:32.9347665Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2025-08-14T21:16:32.9348046Z >>> # them will be removed. 2025-08-14T21:16:32.9348343Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2025-08-14T21:16:32.9348641Z tensor(True) 2025-08-14T21:16:32.9348878Z >>> torch.unique(a, dim=1) 2025-08-14T21:16:32.9349164Z tensor([[[0, 0, 1, 1], 2025-08-14T21:16:32.9349426Z [1, 1, 0, 0]], 2025-08-14T21:16:32.9349674Z [[1, 1, 1, 1], 2025-08-14T21:16:32.9349935Z [0, 0, 1, 1]], 2025-08-14T21:16:32.9350191Z [[0, 0, 1, 1], 2025-08-14T21:16:32.9350442Z [1, 1, 0, 0]]]) 2025-08-14T21:16:32.9350625Z 2025-08-14T21:16:32.9350830Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2025-08-14T21:16:32.9351306Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2025-08-14T21:16:32.9351744Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2025-08-14T21:16:32.9352124Z >>> # sub-tensors will be removed. 2025-08-14T21:16:32.9352436Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2025-08-14T21:16:32.9352732Z tensor(True) 2025-08-14T21:16:32.9352967Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2025-08-14T21:16:32.9353262Z tensor(True) 2025-08-14T21:16:32.9353513Z >>> torch.unique(a, dim=2) 2025-08-14T21:16:32.9353787Z tensor([[[0, 1], 2025-08-14T21:16:32.9354038Z [0, 1], 2025-08-14T21:16:32.9354282Z [1, 0]], 2025-08-14T21:16:32.9354516Z [[1, 0], 2025-08-14T21:16:32.9354758Z [1, 0], 2025-08-14T21:16:32.9354998Z [1, 1]], 2025-08-14T21:16:32.9355330Z [[0, 1], 2025-08-14T21:16:32.9355562Z [0, 1], 2025-08-14T21:16:32.9355808Z [1, 0]]]) 2025-08-14T21:16:32.9356050Z 2025-08-14T21:16:32.9356400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9356765Z 2025-08-14T21:16:32.9471558Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=565. 2025-08-14T21:16:32.9472373Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9472749Z 2025-08-14T21:16:32.9472901Z Load a model from a github repo or a local directory. 2025-08-14T21:16:32.9473155Z 2025-08-14T21:16:32.9473390Z Note: Loading a model is the typical use case, but this can also be used to 2025-08-14T21:16:32.9474100Z for loading other objects such as tokenizers, loss functions, etc. 2025-08-14T21:16:32.9474423Z 2025-08-14T21:16:32.9474600Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2025-08-14T21:16:32.9475036Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2025-08-14T21:16:32.9475394Z ref (a tag or a branch). 2025-08-14T21:16:32.9475566Z 2025-08-14T21:16:32.9475728Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2025-08-14T21:16:32.9476298Z path to a local directory. 2025-08-14T21:16:32.9476467Z 2025-08-14T21:16:32.9476561Z Args: 2025-08-14T21:16:32.9476794Z repo_or_dir (str): If ``source`` is 'github', 2025-08-14T21:16:32.9477484Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2025-08-14T21:16:32.9478240Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2025-08-14T21:16:32.9478879Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2025-08-14T21:16:32.9479443Z If ``source`` is 'local' then it should be a path to a local directory. 2025-08-14T21:16:32.9479947Z model (str): the name of a callable (entrypoint) defined in the 2025-08-14T21:16:32.9480350Z repo/dir's ``hubconf.py``. 2025-08-14T21:16:32.9480728Z *args (optional): the corresponding args for callable ``model``. 2025-08-14T21:16:32.9481201Z source (str, optional): 'github' or 'local'. Specifies how 2025-08-14T21:16:32.9481646Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2025-08-14T21:16:32.9482141Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2025-08-14T21:16:32.9482756Z This parameter was introduced in v1.12 and helps ensuring that users 2025-08-14T21:16:32.9483215Z only run code from repos that they trust. 2025-08-14T21:16:32.9483444Z 2025-08-14T21:16:32.9483651Z - If ``False``, a prompt will ask the user whether the repo should 2025-08-14T21:16:32.9484030Z be trusted. 2025-08-14T21:16:32.9484367Z - If ``True``, the repo will be added to the trusted list and loaded 2025-08-14T21:16:32.9484798Z without requiring explicit confirmation. 2025-08-14T21:16:32.9485190Z - If ``"check"``, the repo will be checked against the list of 2025-08-14T21:16:32.9485672Z trusted repos in the cache. If it is not present in that list, the 2025-08-14T21:16:32.9486206Z behaviour will fall back onto the ``trust_repo=False`` option. 2025-08-14T21:16:32.9486690Z - If ``None``: this will raise a warning, inviting the user to set 2025-08-14T21:16:32.9487159Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2025-08-14T21:16:32.9487661Z is only present for backward compatibility and will be removed in 2025-08-14T21:16:32.9488062Z v2.0. 2025-08-14T21:16:32.9488193Z 2025-08-14T21:16:32.9488392Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2025-08-14T21:16:32.9488919Z force_reload (bool, optional): whether to force a fresh download of 2025-08-14T21:16:32.9489522Z the github repo unconditionally. Does not have any effect if 2025-08-14T21:16:32.9489947Z ``source = 'local'``. Default is ``False``. 2025-08-14T21:16:32.9490366Z verbose (bool, optional): If ``False``, mute messages about hitting 2025-08-14T21:16:32.9490888Z local caches. Note that the message about first download cannot be 2025-08-14T21:16:32.9491370Z muted. Does not have any effect if ``source = 'local'``. 2025-08-14T21:16:32.9491734Z Default is ``True``. 2025-08-14T21:16:32.9492204Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2025-08-14T21:16:32.9492880Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2025-08-14T21:16:32.9493522Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2025-08-14T21:16:32.9494064Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2025-08-14T21:16:32.9494556Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-14T21:16:32.9494879Z 2025-08-14T21:16:32.9494976Z Returns: 2025-08-14T21:16:32.9495264Z The output of the ``model`` callable when called with the given 2025-08-14T21:16:32.9495658Z ``*args`` and ``**kwargs``. 2025-08-14T21:16:32.9495846Z 2025-08-14T21:16:32.9495928Z Example: 2025-08-14T21:16:32.9496177Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-14T21:16:32.9496501Z >>> # from a github repo 2025-08-14T21:16:32.9496872Z >>> repo = "pytorch/vision" 2025-08-14T21:16:32.9497155Z >>> model = torch.hub.load( 2025-08-14T21:16:32.9497503Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2025-08-14T21:16:32.9497874Z ... ) 2025-08-14T21:16:32.9498094Z >>> # from a local directory 2025-08-14T21:16:32.9498391Z >>> path = "/some/local/path/pytorch/vision" 2025-08-14T21:16:32.9498716Z >>> # xdoctest: +SKIP 2025-08-14T21:16:32.9499116Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2025-08-14T21:16:32.9499464Z 2025-08-14T21:16:32.9499716Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9500063Z 2025-08-14T21:16:32.9500535Z msg = Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=657. 2025-08-14T21:16:32.9501311Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9501687Z 2025-08-14T21:16:32.9501857Z Load a model from a local directory with a ``hubconf.py``. 2025-08-14T21:16:32.9502126Z 2025-08-14T21:16:32.9502218Z Args: 2025-08-14T21:16:32.9502514Z hubconf_dir (str): path to a local directory that contains a 2025-08-14T21:16:32.9502882Z ``hubconf.py``. 2025-08-14T21:16:32.9503214Z model (str): name of an entrypoint defined in the directory's 2025-08-14T21:16:32.9503589Z ``hubconf.py``. 2025-08-14T21:16:32.9503924Z *args (optional): the corresponding args for callable ``model``. 2025-08-14T21:16:32.9504435Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-14T21:16:32.9504754Z 2025-08-14T21:16:32.9504848Z Returns: 2025-08-14T21:16:32.9505116Z a single model with corresponding pretrained weights. 2025-08-14T21:16:32.9505390Z 2025-08-14T21:16:32.9505473Z Example: 2025-08-14T21:16:32.9505799Z >>> # xdoctest: +SKIP("stub local path") 2025-08-14T21:16:32.9506154Z >>> path = "/some/local/path/pytorch/vision" 2025-08-14T21:16:32.9506480Z >>> model = _load_local( 2025-08-14T21:16:32.9506747Z ... path, 2025-08-14T21:16:32.9506981Z ... "resnet50", 2025-08-14T21:16:32.9507260Z ... weights="ResNet50_Weights.IMAGENET1K_V1", 2025-08-14T21:16:32.9507590Z ... ) 2025-08-14T21:16:32.9507706Z 2025-08-14T21:16:32.9507957Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9508307Z 2025-08-14T21:16:32.9508829Z msg = Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=696. 2025-08-14T21:16:32.9509665Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9510174Z Download object at the given URL to a local path. 2025-08-14T21:16:32.9510423Z 2025-08-14T21:16:32.9510518Z Args: 2025-08-14T21:16:32.9510750Z url (str): URL of the object to download 2025-08-14T21:16:32.9511214Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2025-08-14T21:16:32.9511870Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2025-08-14T21:16:32.9512396Z Default: None 2025-08-14T21:16:32.9512788Z progress (bool, optional): whether or not to display a progress bar to stderr 2025-08-14T21:16:32.9513235Z Default: True 2025-08-14T21:16:32.9513390Z 2025-08-14T21:16:32.9513486Z Example: 2025-08-14T21:16:32.9513733Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-14T21:16:32.9514091Z >>> # xdoctest: +REQUIRES(POSIX) 2025-08-14T21:16:32.9514421Z >>> torch.hub.download_url_to_file( 2025-08-14T21:16:32.9514852Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2025-08-14T21:16:32.9515281Z ... "/tmp/temporary_file", 2025-08-14T21:16:32.9515565Z ... ) 2025-08-14T21:16:32.9515685Z 2025-08-14T21:16:32.9515777Z 2025-08-14T21:16:32.9516115Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9516548Z 2025-08-14T21:16:32.9517018Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=821. 2025-08-14T21:16:32.9517850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9518344Z Loads the Torch serialized object at the given URL. 2025-08-14T21:16:32.9518605Z 2025-08-14T21:16:32.9518780Z If downloaded file is a zip file, it will be automatically 2025-08-14T21:16:32.9519160Z decompressed. 2025-08-14T21:16:32.9519298Z 2025-08-14T21:16:32.9519514Z If the object is already present in `model_dir`, it's deserialized and 2025-08-14T21:16:32.9519907Z returned. 2025-08-14T21:16:32.9520242Z The default value of ``model_dir`` is ``/checkpoints`` where 2025-08-14T21:16:32.9520751Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2025-08-14T21:16:32.9521052Z 2025-08-14T21:16:32.9521138Z Args: 2025-08-14T21:16:32.9521381Z url (str): URL of the object to download 2025-08-14T21:16:32.9521800Z model_dir (str, optional): directory in which to save the object 2025-08-14T21:16:32.9522437Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2025-08-14T21:16:32.9523118Z progress (bool, optional): whether or not to display a progress bar to stderr. 2025-08-14T21:16:32.9523569Z Default: True 2025-08-14T21:16:32.9524043Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2025-08-14T21:16:32.9524663Z ``filename-.ext`` where ```` is the first eight or more 2025-08-14T21:16:32.9525209Z digits of the SHA256 hash of the contents of the file. The hash is used to 2025-08-14T21:16:32.9525729Z ensure unique names and to verify the contents of the file. 2025-08-14T21:16:32.9526121Z Default: False 2025-08-14T21:16:32.9526596Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2025-08-14T21:16:32.9527342Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2025-08-14T21:16:32.9528014Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2025-08-14T21:16:32.9528373Z 2025-08-14T21:16:32.9528473Z Example: 2025-08-14T21:16:32.9528788Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-14T21:16:32.9529178Z >>> state_dict = torch.hub.load_state_dict_from_url( 2025-08-14T21:16:32.9529646Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2025-08-14T21:16:32.9530040Z ... ) 2025-08-14T21:16:32.9530181Z 2025-08-14T21:16:32.9530261Z 2025-08-14T21:16:32.9530623Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9530979Z 2025-08-14T21:16:32.9567802Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=375. 2025-08-14T21:16:32.9568639Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:32.9569225Z Registers the function implementation as the fallback for the given key. 2025-08-14T21:16:32.9569581Z 2025-08-14T21:16:32.9569795Z This function only works for a library with global namespace ("_"). 2025-08-14T21:16:32.9570114Z 2025-08-14T21:16:32.9570221Z Args: 2025-08-14T21:16:32.9570610Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-14T21:16:32.9571108Z to register a fallthrough. 2025-08-14T21:16:32.9571641Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-14T21:16:32.9572229Z the dispatch key that the library was created with. 2025-08-14T21:16:32.9573539Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-14T21:16:32.9574320Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-14T21:16:32.9574741Z 2025-08-14T21:16:32.9574871Z Example:: 2025-08-14T21:16:32.9575005Z 2025-08-14T21:16:32.9575112Z >>> my_lib = Library("_", "IMPL") 2025-08-14T21:16:32.9575467Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-14T21:16:32.9575835Z >>> # Handle all autocast ops generically 2025-08-14T21:16:32.9576327Z >>> # ... 2025-08-14T21:16:32.9576614Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-14T21:16:32.9576951Z 2025-08-14T21:16:32.9577664Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-08-14T21:16:32.9578366Z 2025-08-14T21:16:32.9578492Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-14T21:16:32.9578813Z ^ 2025-08-14T21:16:32.9647304Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=948. 2025-08-14T21:16:32.9648134Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:32.9648791Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-14T21:16:32.9649129Z 2025-08-14T21:16:32.9649381Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-14T21:16:32.9649677Z 2025-08-14T21:16:32.9649912Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-14T21:16:32.9650562Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-14T21:16:32.9651182Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-14T21:16:32.9651739Z what the properties of the output Tensors are. 2025-08-14T21:16:32.9651993Z 2025-08-14T21:16:32.9652214Z The FakeTensor implementation has the same signature as the operator. 2025-08-14T21:16:32.9652827Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-14T21:16:32.9653408Z implementation, assume that all Tensor inputs to the operator are 2025-08-14T21:16:32.9653956Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-14T21:16:32.9654675Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-14T21:16:32.9655293Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-14T21:16:32.9655877Z (and may not directly access the storage or data of any input or 2025-08-14T21:16:32.9656277Z intermediate Tensors). 2025-08-14T21:16:32.9656522Z 2025-08-14T21:16:32.9656680Z This API may be used as a decorator (see examples). 2025-08-14T21:16:32.9656930Z 2025-08-14T21:16:32.9657070Z For a detailed guide on custom ops, please see 2025-08-14T21:16:32.9657639Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-14T21:16:32.9658040Z 2025-08-14T21:16:32.9658127Z Args: 2025-08-14T21:16:32.9658461Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-14T21:16:32.9658963Z func: Fake tensor implementation. 2025-08-14T21:16:32.9659374Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-14T21:16:32.9659935Z allow_override: Flag controlling if we want to override an 2025-08-14T21:16:32.9660447Z existing registered fake impl. This is by default off, 2025-08-14T21:16:32.9660909Z and will error you're trying to register a fake impl to 2025-08-14T21:16:32.9661426Z an operator that already has a fake impl. This also only 2025-08-14T21:16:32.9661870Z applies if the custom operator was not created via 2025-08-14T21:16:32.9662457Z torch.library.custom_op, as overriding and existing fake 2025-08-14T21:16:32.9662940Z impl is already allowed. 2025-08-14T21:16:32.9663157Z 2025-08-14T21:16:32.9663256Z Examples: 2025-08-14T21:16:32.9663487Z >>> import torch 2025-08-14T21:16:32.9663806Z >>> import numpy as np 2025-08-14T21:16:32.9664089Z >>> from torch import Tensor 2025-08-14T21:16:32.9664432Z >>> 2025-08-14T21:16:32.9664745Z >>> # Example 1: an operator without data-dependent output shape 2025-08-14T21:16:32.9665339Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-14T21:16:32.9666008Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-14T21:16:32.9666511Z >>> raise NotImplementedError("Implementation goes here") 2025-08-14T21:16:32.9666953Z >>> 2025-08-14T21:16:32.9667240Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-14T21:16:32.9667675Z >>> def _(x, weight, bias): 2025-08-14T21:16:32.9667971Z >>> assert x.dim() == 2 2025-08-14T21:16:32.9668297Z >>> assert weight.dim() == 2 2025-08-14T21:16:32.9668649Z >>> assert bias.dim() == 1 2025-08-14T21:16:32.9668974Z >>> assert x.shape[1] == weight.shape[1] 2025-08-14T21:16:32.9669409Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-14T21:16:32.9669762Z >>> assert x.device == weight.device 2025-08-14T21:16:32.9670142Z >>> 2025-08-14T21:16:32.9670382Z >>> return (x @ weight.t()) + bias 2025-08-14T21:16:32.9670726Z >>> 2025-08-14T21:16:32.9671032Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-14T21:16:32.9671469Z >>> x = torch.randn(2, 3) 2025-08-14T21:16:32.9671828Z >>> w = torch.randn(3, 3) 2025-08-14T21:16:32.9672125Z >>> b = torch.randn(3) 2025-08-14T21:16:32.9672516Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-14T21:16:32.9672847Z >>> 2025-08-14T21:16:32.9673101Z >>> assert y.shape == (2, 3) 2025-08-14T21:16:32.9673406Z >>> 2025-08-14T21:16:32.9673697Z >>> # Example 2: an operator with data-dependent output shape 2025-08-14T21:16:32.9674268Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-14T21:16:32.9674796Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-14T21:16:32.9675131Z >>> x_np = x.numpy(force=True) 2025-08-14T21:16:32.9675619Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-14T21:16:32.9676163Z >>> return torch.tensor(res, device=x.device) 2025-08-14T21:16:32.9676564Z >>> 2025-08-14T21:16:32.9678699Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-14T21:16:32.9679083Z >>> def _(x): 2025-08-14T21:16:32.9679408Z >>> # Number of nonzero-elements is data-dependent. 2025-08-14T21:16:32.9679855Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-14T21:16:32.9680328Z >>> # we use the ctx object to construct a new symint that 2025-08-14T21:16:32.9680723Z >>> # represents the data-dependent size. 2025-08-14T21:16:32.9681116Z >>> ctx = torch.library.get_ctx() 2025-08-14T21:16:32.9681456Z >>> nnz = ctx.new_dynamic_size() 2025-08-14T21:16:32.9681831Z >>> shape = [nnz, x.dim()] 2025-08-14T21:16:32.9682171Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-14T21:16:32.9682586Z >>> return result 2025-08-14T21:16:32.9682851Z >>> 2025-08-14T21:16:32.9683140Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-14T21:16:32.9683578Z >>> 2025-08-14T21:16:32.9683811Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-14T21:16:32.9684343Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-14T21:16:32.9684998Z >>> trace.print_readable() 2025-08-14T21:16:32.9685282Z >>> 2025-08-14T21:16:32.9685683Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-14T21:16:32.9686014Z 2025-08-14T21:16:32.9686093Z 2025-08-14T21:16:32.9686766Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-08-14T21:16:32.9687383Z 2025-08-14T21:16:32.9687465Z _._ = None 2025-08-14T21:16:32.9687663Z ^ 2025-08-14T21:16:32.9688308Z msg = Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1083. 2025-08-14T21:16:32.9689149Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9689649Z Register a backward formula for this custom op. 2025-08-14T21:16:32.9689890Z 2025-08-14T21:16:32.9690144Z In order for an operator to work with autograd, you need to register 2025-08-14T21:16:32.9690554Z a backward formula: 2025-08-14T21:16:32.9690919Z 1. You must tell us how to compute gradients during the backward pass 2025-08-14T21:16:32.9691343Z by providing us a "backward" function. 2025-08-14T21:16:32.9691758Z 2. If you need any values from the forward to compute gradients, you can 2025-08-14T21:16:32.9692220Z use `setup_context` to save values for backward. 2025-08-14T21:16:32.9692463Z 2025-08-14T21:16:32.9692699Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2025-08-14T21:16:32.9693217Z - ``grads`` is one or more gradients. The number of gradients matches 2025-08-14T21:16:32.9693638Z the number of outputs of the operator. 2025-08-14T21:16:32.9694125Z The ``ctx`` object is `the same ctx object `_ used by 2025-08-14T21:16:32.9694683Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2025-08-14T21:16:32.9695178Z same as :meth:`torch.autograd.Function.backward`. 2025-08-14T21:16:32.9695452Z 2025-08-14T21:16:32.9695655Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2025-08-14T21:16:32.9696191Z Please save quantities needed for backward onto the ``ctx`` object via 2025-08-14T21:16:32.9696743Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2025-08-14T21:16:32.9697284Z or assigning them as attributes of ``ctx``. If your custom op has 2025-08-14T21:16:32.9697797Z kwarg-only arguments, we expect the signature of ``setup_context`` 2025-08-14T21:16:32.9698399Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2025-08-14T21:16:32.9698698Z 2025-08-14T21:16:32.9698910Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2025-08-14T21:16:32.9699460Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2025-08-14T21:16:32.9700023Z not depend on or mutate global state. If you need a non-traceable backward, 2025-08-14T21:16:32.9700592Z you can make it a separate custom_op that you call inside ``backward_fn``. 2025-08-14T21:16:32.9700981Z 2025-08-14T21:16:32.9701190Z If you need different autograd behavior on different devices, then we 2025-08-14T21:16:32.9701738Z recommend creating two different custom operators, one for each device 2025-08-14T21:16:32.9702286Z that needs different behavior, and switching between them at runtime. 2025-08-14T21:16:32.9702604Z 2025-08-14T21:16:32.9702688Z Examples: 2025-08-14T21:16:32.9702911Z >>> import torch 2025-08-14T21:16:32.9703181Z >>> import numpy as np 2025-08-14T21:16:32.9735300Z >>> from torch import Tensor 2025-08-14T21:16:32.9735722Z >>> 2025-08-14T21:16:32.9736124Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2025-08-14T21:16:32.9736578Z >>> def numpy_sin(x: Tensor) -> Tensor: 2025-08-14T21:16:32.9736902Z >>> x_np = x.cpu().numpy() 2025-08-14T21:16:32.9737212Z >>> y_np = np.sin(x_np) 2025-08-14T21:16:32.9737680Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-14T21:16:32.9738038Z >>> 2025-08-14T21:16:32.9738300Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2025-08-14T21:16:32.9738662Z >>> x, = inputs 2025-08-14T21:16:32.9738940Z >>> ctx.save_for_backward(x) 2025-08-14T21:16:32.9739219Z >>> 2025-08-14T21:16:32.9739444Z >>> def backward(ctx, grad): 2025-08-14T21:16:32.9739745Z >>> x, = ctx.saved_tensors 2025-08-14T21:16:32.9740043Z >>> return grad * x.cos() 2025-08-14T21:16:32.9740322Z >>> 2025-08-14T21:16:32.9740639Z >>> torch.library.register_autograd( 2025-08-14T21:16:32.9741032Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2025-08-14T21:16:32.9741406Z ... ) 2025-08-14T21:16:32.9741617Z >>> 2025-08-14T21:16:32.9741860Z >>> x = torch.randn(3, requires_grad=True) 2025-08-14T21:16:32.9742180Z >>> y = numpy_sin(x) 2025-08-14T21:16:32.9742531Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-14T21:16:32.9742940Z >>> assert torch.allclose(grad_x, x.cos()) 2025-08-14T21:16:32.9743245Z >>> 2025-08-14T21:16:32.9743486Z >>> # Example with a keyword-only arg 2025-08-14T21:16:32.9743911Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-14T21:16:32.9744359Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2025-08-14T21:16:32.9744723Z >>> x_np = x.cpu().numpy() 2025-08-14T21:16:32.9745029Z >>> y_np = x_np * val 2025-08-14T21:16:32.9745373Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-14T21:16:32.9745788Z >>> 2025-08-14T21:16:32.9746134Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2025-08-14T21:16:32.9746603Z >>> ctx.val = keyword_only_inputs["val"] 2025-08-14T21:16:32.9746913Z >>> 2025-08-14T21:16:32.9747148Z >>> def backward(ctx, grad): 2025-08-14T21:16:32.9747452Z >>> return grad * ctx.val 2025-08-14T21:16:32.9747722Z >>> 2025-08-14T21:16:32.9747965Z >>> torch.library.register_autograd( 2025-08-14T21:16:32.9748367Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2025-08-14T21:16:32.9748729Z ... ) 2025-08-14T21:16:32.9748939Z >>> 2025-08-14T21:16:32.9749177Z >>> x = torch.randn(3, requires_grad=True) 2025-08-14T21:16:32.9749516Z >>> y = numpy_mul(x, val=3.14) 2025-08-14T21:16:32.9749954Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-14T21:16:32.9750414Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2025-08-14T21:16:32.9750695Z 2025-08-14T21:16:32.9750790Z 2025-08-14T21:16:32.9751137Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9751500Z 2025-08-14T21:16:32.9752018Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1482. 2025-08-14T21:16:32.9752807Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:32.9753365Z Returns the computed kernel for a given operator and dispatch key. 2025-08-14T21:16:32.9753690Z 2025-08-14T21:16:32.9753904Z This function retrieves the kernel that would be executed for a given 2025-08-14T21:16:32.9754464Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-14T21:16:32.9754985Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-14T21:16:32.9755493Z case for this function is to retrieve the original kernel for a given 2025-08-14T21:16:32.9756023Z dispatch key and then register another kernel to the same dispatch key 2025-08-14T21:16:32.9756500Z that calls into the original kernel for certain cases. 2025-08-14T21:16:32.9756776Z 2025-08-14T21:16:32.9756860Z Args: 2025-08-14T21:16:32.9757236Z op: Operator name (along with the overload) or OpOverload object 2025-08-14T21:16:32.9757765Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-14T21:16:32.9758334Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-14T21:16:32.9758882Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-14T21:16:32.9759175Z 2025-08-14T21:16:32.9759270Z Returns: 2025-08-14T21:16:32.9759635Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-14T21:16:32.9760062Z call the kernel. 2025-08-14T21:16:32.9760243Z 2025-08-14T21:16:32.9760325Z Raises: 2025-08-14T21:16:32.9760589Z RuntimeError: If the operator does not exist. 2025-08-14T21:16:32.9760832Z 2025-08-14T21:16:32.9760915Z Example: 2025-08-14T21:16:32.9761159Z >>> # Get the CPU kernel for torch.add 2025-08-14T21:16:32.9761573Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-14T21:16:32.9761947Z >>> 2025-08-14T21:16:32.9762186Z >>> # You can also use DispatchKey enum 2025-08-14T21:16:32.9762667Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-14T21:16:32.9763120Z >>> 2025-08-14T21:16:32.9763341Z >>> # Or use an OpOverload directly 2025-08-14T21:16:32.9763783Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-14T21:16:32.9764198Z >>> 2025-08-14T21:16:32.9764518Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-14T21:16:32.9764965Z >>> # Get the original kernel for torch.sin 2025-08-14T21:16:32.9765410Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-14T21:16:32.9765805Z >>> 2025-08-14T21:16:32.9766144Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-14T21:16:32.9766620Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-14T21:16:32.9766959Z >>> if (x < 0).any(): 2025-08-14T21:16:32.9767314Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-14T21:16:32.9767692Z >>> else: 2025-08-14T21:16:32.9767955Z >>> return torch.zeros_like(x) 2025-08-14T21:16:32.9768248Z >>> 2025-08-14T21:16:32.9768506Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-14T21:16:32.9769056Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-14T21:16:32.9769595Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-14T21:16:32.9770079Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-14T21:16:32.9770466Z >>> 2025-08-14T21:16:32.9770702Z >>> # Test the conditional behavior 2025-08-14T21:16:32.9771028Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-14T21:16:32.9771375Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-14T21:16:32.9771700Z >>> torch.sin(x_positive) 2025-08-14T21:16:32.9771975Z tensor([0., 0.]) 2025-08-14T21:16:32.9772239Z >>> torch.sin(x_mixed) 2025-08-14T21:16:32.9772516Z tensor([-0.8415, 0.9093]) 2025-08-14T21:16:32.9772774Z 2025-08-14T21:16:32.9773348Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-08-14T21:16:32.9773930Z 2025-08-14T21:16:32.9774107Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-14T21:16:32.9774477Z ^ 2025-08-14T21:16:32.9775023Z msg = Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1571. 2025-08-14T21:16:32.9775824Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:32.9776665Z Given an operator and some sample arguments, tests if the operator is 2025-08-14T21:16:32.9777209Z registered correctly. 2025-08-14T21:16:32.9777388Z 2025-08-14T21:16:32.9777590Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2025-08-14T21:16:32.9778142Z custom op, you specified metadata (e.g. mutability info) about the custom op 2025-08-14T21:16:32.9778711Z and these APIs require that the functions you pass them satisfy certain 2025-08-14T21:16:32.9779273Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2025-08-14T21:16:32.9779740Z ``opcheck`` tests these metadata and properties. 2025-08-14T21:16:32.9780001Z 2025-08-14T21:16:32.9780112Z Concretely, we test the following: 2025-08-14T21:16:32.9780318Z 2025-08-14T21:16:32.9780501Z - test_schema: If the schema matches the implementation of 2025-08-14T21:16:32.9781001Z the operator. For example: if the schema specifies a Tensor is mutated, 2025-08-14T21:16:32.9781522Z then we check the implementation mutates the Tensor. If the schema 2025-08-14T21:16:32.9782026Z specifies that we return a new Tensor, then we check that the 2025-08-14T21:16:32.9782530Z implementation returns a new Tensor (instead of an existing one or 2025-08-14T21:16:32.9782947Z a view of an existing one). 2025-08-14T21:16:32.9783334Z - test_autograd_registration: If the operator supports training 2025-08-14T21:16:32.9783825Z (autograd): we check that its autograd formula is registered via 2025-08-14T21:16:32.9784338Z torch.library.register_autograd or a manual registration to one 2025-08-14T21:16:32.9784848Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2025-08-14T21:16:32.9785289Z registrations may lead to undefined behavior. 2025-08-14T21:16:32.9785777Z - test_faketensor: If the operator has a FakeTensor kernel 2025-08-14T21:16:32.9786222Z (and if it is correct). The FakeTensor kernel is necessary ( 2025-08-14T21:16:32.9786715Z but not sufficient) for the operator to work with PyTorch compilation 2025-08-14T21:16:32.9787256Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2025-08-14T21:16:32.9787764Z (also sometimes known as a meta kernel) was registered for the 2025-08-14T21:16:32.9788234Z operator and that it is correct. This test takes the result of 2025-08-14T21:16:32.9788717Z running the operator on real tensors and the result of running 2025-08-14T21:16:32.9789203Z the operator on FakeTensors and checks that they have the same 2025-08-14T21:16:32.9789721Z Tensor metadata (sizes/strides/dtype/device/etc). 2025-08-14T21:16:32.9790172Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2025-08-14T21:16:32.9790651Z with PyTorch compilation APIs (torch.compile/export/FX). 2025-08-14T21:16:32.9791125Z This checks that the outputs (and gradients, if applicable) are the 2025-08-14T21:16:32.9791587Z same under eager-mode PyTorch and torch.compile. 2025-08-14T21:16:32.9792027Z This test is a superset of ``test_faketensor`` and is an e2e test; 2025-08-14T21:16:32.9792586Z other things it tests are that the operator supports 2025-08-14T21:16:32.9793049Z functionalization and that the backward pass (if it exists) also 2025-08-14T21:16:32.9793501Z supports FakeTensor and functionalization. 2025-08-14T21:16:32.9793739Z 2025-08-14T21:16:32.9793943Z For best results, please call ``opcheck`` multiple times with a 2025-08-14T21:16:32.9794404Z representative set of inputs. If your operator supports 2025-08-14T21:16:32.9794920Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2025-08-14T21:16:32.9795480Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2025-08-14T21:16:32.9795961Z use ``opcheck`` with inputs on all supported devices. 2025-08-14T21:16:32.9796217Z 2025-08-14T21:16:32.9796301Z Args: 2025-08-14T21:16:32.9796595Z op: The operator. Must either be a function decorated with 2025-08-14T21:16:32.9797087Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2025-08-14T21:16:32.9797693Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2025-08-14T21:16:32.9798128Z args: The args to the operator 2025-08-14T21:16:32.9798451Z kwargs: The kwargs to the operator 2025-08-14T21:16:32.9798850Z test_utils: Tests that we should run. Default: all of them. 2025-08-14T21:16:32.9799262Z Example: ("test_schema", "test_faketensor") 2025-08-14T21:16:32.9799698Z raise_exception: If we should raise an exception on the first 2025-08-14T21:16:32.9800164Z error. If False, we will return a dict with information 2025-08-14T21:16:32.9800540Z on if each test passed or not. 2025-08-14T21:16:32.9800984Z rtol (Optional[float]): Relative tolerance for floating point comparisons. 2025-08-14T21:16:32.9801465Z If specified ``atol`` must also be specified. 2025-08-14T21:16:32.9801895Z If omitted, default values based on the ``dtype`` are selected 2025-08-14T21:16:32.9802350Z (see the table in :func:`torch.testing.assert_close`). 2025-08-14T21:16:32.9802852Z atol (Optional[float]): Absolute tolerance for floating point comparisons. 2025-08-14T21:16:32.9803330Z If specified ``rtol`` must also be specified. 2025-08-14T21:16:32.9803744Z If omitted, default values based on the ``dtype`` are selected 2025-08-14T21:16:32.9804201Z (see the table in :func:`torch.testing.assert_close`). 2025-08-14T21:16:32.9804480Z 2025-08-14T21:16:32.9804574Z .. warning:: 2025-08-14T21:16:32.9804705Z 2025-08-14T21:16:32.9804926Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2025-08-14T21:16:32.9805439Z opcheck tests if your usage of torch.library APIs is correct while 2025-08-14T21:16:32.9805956Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2025-08-14T21:16:32.9806496Z mathematically correct. Use both to test custom ops that support 2025-08-14T21:16:32.9806922Z gradient computation. 2025-08-14T21:16:32.9807099Z 2025-08-14T21:16:32.9807183Z Example: 2025-08-14T21:16:32.9807315Z 2025-08-14T21:16:32.9807447Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:32.9807890Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-14T21:16:32.9808339Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2025-08-14T21:16:32.9808680Z >>> x_np = x.numpy(force=True) 2025-08-14T21:16:32.9809062Z >>> z_np = x_np * y 2025-08-14T21:16:32.9809376Z >>> return torch.from_numpy(z_np).to(x.device) 2025-08-14T21:16:32.9809689Z >>> 2025-08-14T21:16:32.9809918Z >>> @numpy_mul.register_fake 2025-08-14T21:16:32.9810222Z >>> def _(x, y): 2025-08-14T21:16:32.9810480Z >>> return torch.empty_like(x) 2025-08-14T21:16:32.9810782Z >>> 2025-08-14T21:16:32.9811027Z >>> def setup_context(ctx, inputs, output): 2025-08-14T21:16:32.9811344Z >>> y, = inputs 2025-08-14T21:16:32.9811598Z >>> ctx.y = y 2025-08-14T21:16:32.9811836Z >>> 2025-08-14T21:16:32.9812049Z >>> def backward(ctx, grad): 2025-08-14T21:16:32.9812354Z >>> return grad * ctx.y, None 2025-08-14T21:16:32.9812646Z >>> 2025-08-14T21:16:32.9812976Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2025-08-14T21:16:32.9813377Z >>> 2025-08-14T21:16:32.9813593Z >>> sample_inputs = [ 2025-08-14T21:16:32.9813871Z >>> (torch.randn(3), 3.14), 2025-08-14T21:16:32.9814188Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2025-08-14T21:16:32.9814560Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2025-08-14T21:16:32.9814990Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2025-08-14T21:16:32.9815359Z >>> ] 2025-08-14T21:16:32.9815566Z >>> 2025-08-14T21:16:32.9815851Z >>> for args in sample_inputs: 2025-08-14T21:16:32.9816178Z >>> torch.library.opcheck(numpy_mul, args) 2025-08-14T21:16:32.9816422Z 2025-08-14T21:16:32.9816504Z 2025-08-14T21:16:32.9816861Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:32.9817211Z 2025-08-14T21:16:33.0174820Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1285. 2025-08-14T21:16:33.0175721Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.0176607Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2025-08-14T21:16:33.0177106Z 2025-08-14T21:16:33.0177280Z Loads an object saved with :func:`torch.save` from a file. 2025-08-14T21:16:33.0177556Z 2025-08-14T21:16:33.0177824Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2025-08-14T21:16:33.0178407Z which underlie tensors, specially. They are first deserialized on the 2025-08-14T21:16:33.0179019Z CPU and are then moved to the device they were saved from. If this fails 2025-08-14T21:16:33.0179625Z (e.g. because the run time system doesn't have certain devices), an exception 2025-08-14T21:16:33.0180258Z is raised. However, storages can be dynamically remapped to an alternative 2025-08-14T21:16:33.0180756Z set of devices using the :attr:`map_location` argument. 2025-08-14T21:16:33.0181097Z 2025-08-14T21:16:33.0181335Z If :attr:`map_location` is a callable, it will be called once for each serialized 2025-08-14T21:16:33.0181967Z storage with two arguments: storage and location. The storage argument 2025-08-14T21:16:33.0182568Z will be the initial deserialization of the storage, residing on the CPU. 2025-08-14T21:16:33.0183156Z Each serialized storage has a location tag associated with it which 2025-08-14T21:16:33.0183738Z identifies the device it was saved from, and this tag is the second 2025-08-14T21:16:33.0184365Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2025-08-14T21:16:33.0185005Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2025-08-14T21:16:33.0185522Z :attr:`map_location` should return either ``None`` or a storage. If 2025-08-14T21:16:33.0186207Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2025-08-14T21:16:33.0187055Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2025-08-14T21:16:33.0187723Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2025-08-14T21:16:33.0188129Z 2025-08-14T21:16:33.0188358Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2025-08-14T21:16:33.0189003Z a device tag, it indicates the location where all tensors should be loaded. 2025-08-14T21:16:33.0189336Z 2025-08-14T21:16:33.0189642Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2025-08-14T21:16:33.0190223Z appearing in the file (keys), to ones that specify where to put the 2025-08-14T21:16:33.0190687Z storages (values). 2025-08-14T21:16:33.0190854Z 2025-08-14T21:16:33.0191064Z User extensions can register their own location tags and tagging and 2025-08-14T21:16:33.0191717Z deserialization methods using :func:`torch.serialization.register_package`. 2025-08-14T21:16:33.0192147Z 2025-08-14T21:16:33.0192389Z See :ref:`layout-control` for more advanced tools to manipulate a checkpoint. 2025-08-14T21:16:33.0192810Z 2025-08-14T21:16:33.0192898Z Args: 2025-08-14T21:16:33.0193323Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2025-08-14T21:16:33.0193982Z or a string or os.PathLike object containing a file name 2025-08-14T21:16:33.0194623Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2025-08-14T21:16:33.0195308Z locations 2025-08-14T21:16:33.0195685Z pickle_module: module used for unpickling metadata and objects (has to 2025-08-14T21:16:33.0196260Z match the :attr:`pickle_module` used to serialize file) 2025-08-14T21:16:33.0196796Z weights_only: Indicates whether unpickler should be restricted to 2025-08-14T21:16:33.0197277Z loading only tensors, primitive types, dictionaries 2025-08-14T21:16:33.0197835Z and any types added via :func:`torch.serialization.add_safe_globals`. 2025-08-14T21:16:33.0198342Z See :ref:`weights-only` for more details. 2025-08-14T21:16:33.0198908Z mmap: Indicates whether the file should be mapped rather than loading all the storages into memory. 2025-08-14T21:16:33.0199756Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2025-08-14T21:16:33.0200601Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2025-08-14T21:16:33.0201416Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2025-08-14T21:16:33.0202233Z tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages 2025-08-14T21:16:33.0202831Z will be lazily loaded when their data is accessed. 2025-08-14T21:16:33.0203386Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2025-08-14T21:16:33.0204012Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2025-08-14T21:16:33.0204498Z :attr:`errors=...`. 2025-08-14T21:16:33.0204688Z 2025-08-14T21:16:33.0204810Z .. warning:: 2025-08-14T21:16:33.0205141Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2025-08-14T21:16:33.0205724Z uses ``pickle`` module implicitly, which is known to be insecure. 2025-08-14T21:16:33.0206359Z It is possible to construct malicious pickle data which will execute arbitrary code 2025-08-14T21:16:33.0207039Z during unpickling. Never load data that could have come from an untrusted 2025-08-14T21:16:33.0207718Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2025-08-14T21:16:33.0208121Z 2025-08-14T21:16:33.0208208Z .. note:: 2025-08-14T21:16:33.0208655Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2025-08-14T21:16:33.0209404Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2025-08-14T21:16:33.0210109Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2025-08-14T21:16:33.0210495Z 2025-08-14T21:16:33.0210583Z .. note:: 2025-08-14T21:16:33.0211022Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2025-08-14T21:16:33.0211655Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2025-08-14T21:16:33.0212185Z when loading files saved by Python 2 in Python 3. If this default 2025-08-14T21:16:33.0212812Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2025-08-14T21:16:33.0213416Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2025-08-14T21:16:33.0214053Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2025-08-14T21:16:33.0214633Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2025-08-14T21:16:33.0214966Z 2025-08-14T21:16:33.0215065Z Example: 2025-08-14T21:16:33.0215321Z >>> # xdoctest: +SKIP("undefined filepaths") 2025-08-14T21:16:33.0215700Z >>> torch.load("tensors.pt", weights_only=True) 2025-08-14T21:16:33.0216115Z # Load all tensors onto the CPU 2025-08-14T21:16:33.0216433Z >>> torch.load( 2025-08-14T21:16:33.0216749Z ... "tensors.pt", 2025-08-14T21:16:33.0217053Z ... map_location=torch.device("cpu"), 2025-08-14T21:16:33.0217386Z ... weights_only=True, 2025-08-14T21:16:33.0217650Z ... ) 2025-08-14T21:16:33.0217919Z # Load all tensors onto the CPU, using a function 2025-08-14T21:16:33.0218263Z >>> torch.load( 2025-08-14T21:16:33.0218502Z ... "tensors.pt", 2025-08-14T21:16:33.0218812Z ... map_location=lambda storage, loc: storage, 2025-08-14T21:16:33.0219161Z ... weights_only=True, 2025-08-14T21:16:33.0219424Z ... ) 2025-08-14T21:16:33.0219661Z # Load all tensors onto GPU 1 2025-08-14T21:16:33.0220019Z >>> torch.load( 2025-08-14T21:16:33.0220256Z ... "tensors.pt", 2025-08-14T21:16:33.0220586Z ... map_location=lambda storage, loc: storage.cuda(1), 2025-08-14T21:16:33.0220951Z ... weights_only=True, 2025-08-14T21:16:33.0221254Z ... ) # type: ignore[attr-defined] 2025-08-14T21:16:33.0221573Z # Map tensors from GPU 1 to GPU 0 2025-08-14T21:16:33.0221877Z >>> torch.load( 2025-08-14T21:16:33.0222127Z ... "tensors.pt", 2025-08-14T21:16:33.0222410Z ... map_location={"cuda:1": "cuda:0"}, 2025-08-14T21:16:33.0222734Z ... weights_only=True, 2025-08-14T21:16:33.0223010Z ... ) 2025-08-14T21:16:33.0223241Z # Load tensor from io.BytesIO object 2025-08-14T21:16:33.0223703Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2025-08-14T21:16:33.0224178Z >>> with open("tensor.pt", "rb") as f: 2025-08-14T21:16:33.0224499Z ... buffer = io.BytesIO(f.read()) 2025-08-14T21:16:33.0224839Z >>> torch.load(buffer, weights_only=False) 2025-08-14T21:16:33.0225218Z # Load a module with 'ascii' encoding for unpickling 2025-08-14T21:16:33.0225782Z # Loading from a module setting weights_only=False, warning this can be unsafe 2025-08-14T21:16:33.0226322Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2025-08-14T21:16:33.0226711Z 2025-08-14T21:16:33.0227140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.0227489Z 2025-08-14T21:16:33.0722323Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py line=1851. 2025-08-14T21:16:33.0723329Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.0724256Z Computes the minimum storage size to hold the given tensor geometry. 2025-08-14T21:16:33.0724583Z 2025-08-14T21:16:33.0724671Z Example 2025-08-14T21:16:33.0724884Z ======= 2025-08-14T21:16:33.0725004Z 2025-08-14T21:16:33.0725240Z This is the size of a newly allocated tensor's storage, in units of elements 2025-08-14T21:16:33.0725572Z 2025-08-14T21:16:33.0725676Z >>> t = torch.empty((10, 20)) 2025-08-14T21:16:33.0726112Z >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset()) 2025-08-14T21:16:33.0726546Z 200 2025-08-14T21:16:33.0726657Z 2025-08-14T21:16:33.0726770Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:33.0727084Z >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11)) 2025-08-14T21:16:33.0727448Z >>> size = compute_required_storage_length( 2025-08-14T21:16:33.0727810Z ... t2.shape, t2.stride(), t2.storage_offset() 2025-08-14T21:16:33.0728119Z ... ) 2025-08-14T21:16:33.0728338Z >>> size == t.storage().size() 2025-08-14T21:16:33.0728621Z True 2025-08-14T21:16:33.0728734Z 2025-08-14T21:16:33.0728923Z A valid tensor may have a larger storage size, but never smaller 2025-08-14T21:16:33.0729230Z 2025-08-14T21:16:33.0729333Z >>> slice = torch.empty(100)[20:40] 2025-08-14T21:16:33.0729648Z >>> slice.storage().size() 2025-08-14T21:16:33.0729912Z 100 2025-08-14T21:16:33.0730020Z 2025-08-14T21:16:33.0730127Z >>> compute_required_storage_length( 2025-08-14T21:16:33.0730698Z ... slice.shape, slice.stride(), slice.storage_offset() 2025-08-14T21:16:33.0731056Z ... ) 2025-08-14T21:16:33.0731244Z 40 2025-08-14T21:16:33.0731369Z 2025-08-14T21:16:33.0731449Z 2025-08-14T21:16:33.0731806Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.0732161Z 2025-08-14T21:16:33.1346926Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=66. 2025-08-14T21:16:33.1347798Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:33.1348396Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-14T21:16:33.1348959Z required drivers are available and at least one device is visible. 2025-08-14T21:16:33.1349409Z See :ref:`accelerator` for details. 2025-08-14T21:16:33.1349668Z 2025-08-14T21:16:33.1349752Z Returns: 2025-08-14T21:16:33.1350164Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-14T21:16:33.1350540Z 2025-08-14T21:16:33.1350812Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-14T21:16:33.1351399Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-14T21:16:33.1352005Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-14T21:16:33.1352506Z :ref:`multiprocessing-poison-fork-note`. 2025-08-14T21:16:33.1352758Z 2025-08-14T21:16:33.1352863Z Example:: 2025-08-14T21:16:33.1352989Z 2025-08-14T21:16:33.1353247Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:33.1353701Z 2025-08-14T21:16:33.1354354Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-08-14T21:16:33.1354994Z 2025-08-14T21:16:33.1355254Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:33.1355702Z ^ 2025-08-14T21:16:33.1363371Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=212. 2025-08-14T21:16:33.1364222Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:33.1364971Z Wait for all kernels in all streams on the given device to complete. 2025-08-14T21:16:33.1365279Z 2025-08-14T21:16:33.1365364Z Args: 2025-08-14T21:16:33.1365792Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-14T21:16:33.1366448Z the current :ref:`accelerator` device type. If not given, 2025-08-14T21:16:33.1366969Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-14T21:16:33.1367295Z 2025-08-14T21:16:33.1367601Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-14T21:16:33.1368022Z 2025-08-14T21:16:33.1368111Z Example:: 2025-08-14T21:16:33.1368239Z 2025-08-14T21:16:33.1368389Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:33.1368880Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:33.1369394Z >>> start_event = torch.Event(enable_timing=True) 2025-08-14T21:16:33.1369784Z >>> end_event = torch.Event(enable_timing=True) 2025-08-14T21:16:33.1370141Z >>> start_event.record() 2025-08-14T21:16:33.1370557Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-14T21:16:33.1371015Z >>> sum = torch.sum(tensor) 2025-08-14T21:16:33.1371331Z >>> end_event.record() 2025-08-14T21:16:33.1371629Z >>> torch.accelerator.synchronize() 2025-08-14T21:16:33.1372719Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-14T21:16:33.1373086Z 2025-08-14T21:16:33.1373720Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-08-14T21:16:33.1374369Z 2025-08-14T21:16:33.1374619Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:33.1375083Z ^ 2025-08-14T21:16:33.1613554Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=434. 2025-08-14T21:16:33.1614381Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:33.1614833Z Retrieves the CUDA runtime API module. 2025-08-14T21:16:33.1615059Z 2025-08-14T21:16:33.1615063Z 2025-08-14T21:16:33.1615302Z This function initializes the CUDA runtime environment if it is not already 2025-08-14T21:16:33.1615883Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-14T21:16:33.1616430Z runtime API module provides access to various CUDA runtime functions. 2025-08-14T21:16:33.1616752Z 2025-08-14T21:16:33.1616832Z Args: 2025-08-14T21:16:33.1617036Z ``None`` 2025-08-14T21:16:33.1617165Z 2025-08-14T21:16:33.1617258Z Returns: 2025-08-14T21:16:33.1617510Z module: The CUDA runtime API module (_cudart). 2025-08-14T21:16:33.1617760Z 2025-08-14T21:16:33.1617841Z Raises: 2025-08-14T21:16:33.1618188Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-14T21:16:33.1618868Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-14T21:16:33.1619318Z 2025-08-14T21:16:33.1619447Z Example of CUDA operations with profiling: 2025-08-14T21:16:33.1619779Z >>> import torch 2025-08-14T21:16:33.1620073Z >>> from torch.cuda import cudart, check_error 2025-08-14T21:16:33.1620394Z >>> import os 2025-08-14T21:16:33.1620630Z >>> 2025-08-14T21:16:33.1620865Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-14T21:16:33.1621154Z >>> 2025-08-14T21:16:33.1621410Z >>> def perform_cuda_operations_with_streams(): 2025-08-14T21:16:33.1621764Z >>> stream = torch.cuda.Stream() 2025-08-14T21:16:33.1622096Z >>> with torch.cuda.stream(stream): 2025-08-14T21:16:33.1622434Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-14T21:16:33.1622958Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-14T21:16:33.1623302Z >>> z = torch.mul(x, y) 2025-08-14T21:16:33.1623582Z >>> return z 2025-08-14T21:16:33.1623826Z >>> 2025-08-14T21:16:33.1624060Z >>> torch.cuda.synchronize() 2025-08-14T21:16:33.1624388Z >>> print("====== Start nsys profiling ======") 2025-08-14T21:16:33.1624769Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-14T21:16:33.1625158Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-14T21:16:33.1625542Z >>> result = perform_cuda_operations_with_streams() 2025-08-14T21:16:33.1626000Z >>> print("CUDA operations completed.") 2025-08-14T21:16:33.1626400Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-14T21:16:33.1626803Z >>> print("====== End nsys profiling ======") 2025-08-14T21:16:33.1627035Z 2025-08-14T21:16:33.1627229Z To run this example and save the profiling information, execute: 2025-08-14T21:16:33.1627895Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-14T21:16:33.1628358Z 2025-08-14T21:16:33.1628591Z This command profiles the CUDA operations in the provided script and saves 2025-08-14T21:16:33.1629125Z the profiling information to a file named `trace_name.prof`. 2025-08-14T21:16:33.1629634Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-14T21:16:33.1630214Z after the `cudaProfilerStart` call in the script. 2025-08-14T21:16:33.1630682Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-14T21:16:33.1631127Z CSV file and print a summary, respectively. 2025-08-14T21:16:33.1631605Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-14T21:16:33.1632108Z overwrite of the output file if it already exists. 2025-08-14T21:16:33.1632447Z 2025-08-14T21:16:33.1633169Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-08-14T21:16:33.1633896Z 2025-08-14T21:16:33.1634228Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-14T21:16:33.1634756Z ^ 2025-08-14T21:16:33.1747118Z msg = Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=101. 2025-08-14T21:16:33.1747961Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.1748334Z 2025-08-14T21:16:33.1748553Z Append the given callback function to this ``Future``, which will be run 2025-08-14T21:16:33.1749087Z when the ``Future`` is completed. Multiple callbacks can be added to 2025-08-14T21:16:33.1749598Z the same ``Future``, but the order in which they will be executed cannot 2025-08-14T21:16:33.1750082Z be guaranteed (to enforce a certain order consider chaining: 2025-08-14T21:16:33.1750566Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2025-08-14T21:16:33.1751072Z is the reference to this ``Future``. The callback function can use the 2025-08-14T21:16:33.1751570Z :meth:`value` method to get the value. Note that if this ``Future`` is 2025-08-14T21:16:33.1752092Z already completed, the given callback will be run immediately inline. 2025-08-14T21:16:33.1752419Z 2025-08-14T21:16:33.1752618Z If the ``Future``'s value contains tensors that reside on GPUs, the 2025-08-14T21:16:33.1753124Z callback might be invoked while the async kernels that are populating 2025-08-14T21:16:33.1753650Z those tensors haven't yet finished executing on the device. However, the 2025-08-14T21:16:33.1754186Z callback will be invoked with some dedicated streams set as current 2025-08-14T21:16:33.1754703Z (fetched from a global pool) which will be synchronized with those 2025-08-14T21:16:33.1755366Z kernels. Hence any operation performed by the callback on these tensors 2025-08-14T21:16:33.1755903Z will be scheduled on the device after the kernels complete. In other 2025-08-14T21:16:33.1756402Z words, as long as the callback doesn't switch streams, it can safely 2025-08-14T21:16:33.1756953Z manipulate the result without any additional synchronization. This is 2025-08-14T21:16:33.1757521Z similar to the non-blocking behavior of :meth:`wait`. 2025-08-14T21:16:33.1757791Z 2025-08-14T21:16:33.1758003Z Similarly, if the callback returns a value that contains tensors that 2025-08-14T21:16:33.1758511Z reside on a GPU, it can do so even if the kernels that are producing 2025-08-14T21:16:33.1759019Z these tensors are still running on the device, as long as the callback 2025-08-14T21:16:33.1759524Z didn't change streams during its execution. If one wants to change 2025-08-14T21:16:33.1760036Z streams, one must be careful to re-synchronize them with the original 2025-08-14T21:16:33.1760563Z streams, that is, those that were current when the callback was invoked. 2025-08-14T21:16:33.1760880Z 2025-08-14T21:16:33.1760962Z Args: 2025-08-14T21:16:33.1761284Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2025-08-14T21:16:33.1761704Z the only argument. 2025-08-14T21:16:33.1761920Z 2025-08-14T21:16:33.1762016Z Returns: 2025-08-14T21:16:33.1762293Z A new ``Future`` object that holds the return value of the 2025-08-14T21:16:33.1762895Z ``callback`` and will be marked as completed when the given 2025-08-14T21:16:33.1763278Z ``callback`` finishes. 2025-08-14T21:16:33.1763444Z 2025-08-14T21:16:33.1763637Z .. note:: Note that if the callback function throws, either 2025-08-14T21:16:33.1764122Z through the original future being completed with an exception and 2025-08-14T21:16:33.1764629Z calling ``fut.wait()``, or through other code in the callback, the 2025-08-14T21:16:33.1765128Z future returned by ``then`` will be marked appropriately with the 2025-08-14T21:16:33.1765623Z encountered error. However, if this callback later completes 2025-08-14T21:16:33.1766134Z additional futures, those futures are not marked as completed with 2025-08-14T21:16:33.1766655Z an error and the user is responsible for handling completion/waiting 2025-08-14T21:16:33.1767068Z on those futures independently. 2025-08-14T21:16:33.1767281Z 2025-08-14T21:16:33.1767371Z Example:: 2025-08-14T21:16:33.1767504Z 2025-08-14T21:16:33.1767654Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-14T21:16:33.1768008Z >>> def callback(fut): 2025-08-14T21:16:33.1768299Z ... print(f"RPC return value is {fut.wait()}.") 2025-08-14T21:16:33.1768653Z >>> fut = torch.futures.Future() 2025-08-14T21:16:33.1769022Z >>> # The inserted callback will print the return value when 2025-08-14T21:16:33.1769407Z >>> # receiving the response from "worker1" 2025-08-14T21:16:33.1769734Z >>> cb_fut = fut.then(callback) 2025-08-14T21:16:33.1770035Z >>> chain_cb_fut = cb_fut.then( 2025-08-14T21:16:33.1770372Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2025-08-14T21:16:33.1770712Z ... ) 2025-08-14T21:16:33.1770925Z >>> fut.set_result(5) 2025-08-14T21:16:33.1771174Z RPC return value is 5. 2025-08-14T21:16:33.1771442Z Chained cb done. None 2025-08-14T21:16:33.1771612Z 2025-08-14T21:16:33.1771855Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.1772214Z 2025-08-14T21:16:33.1772753Z msg = Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=211. 2025-08-14T21:16:33.1773616Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.1773975Z 2025-08-14T21:16:33.1774171Z Set the result for this ``Future``, which will mark this ``Future`` as 2025-08-14T21:16:33.1774694Z completed and trigger all attached callbacks. Note that a ``Future`` 2025-08-14T21:16:33.1775127Z cannot be marked completed twice. 2025-08-14T21:16:33.1775401Z 2025-08-14T21:16:33.1775623Z If the result contains tensors that reside on GPUs, this method can be 2025-08-14T21:16:33.1776356Z called even if the asynchronous kernels that are populating those 2025-08-14T21:16:33.1776884Z tensors haven't yet completed running on the device, provided that the 2025-08-14T21:16:33.1777424Z streams on which those kernels were enqueued are set as the current ones 2025-08-14T21:16:33.1777949Z when this method is called. Put simply, it's safe to call this method 2025-08-14T21:16:33.1778473Z immediately after launching those kernels, without any additional 2025-08-14T21:16:33.1779011Z synchronization, as long as one doesn't change streams in between. This 2025-08-14T21:16:33.1779548Z method will record events on all the relevant current streams and will 2025-08-14T21:16:33.1780048Z use them to ensure proper scheduling for all the consumers of this 2025-08-14T21:16:33.1780440Z ``Future``. 2025-08-14T21:16:33.1780559Z 2025-08-14T21:16:33.1780653Z Args: 2025-08-14T21:16:33.1780917Z result (object): the result object of this ``Future``. 2025-08-14T21:16:33.1781189Z 2025-08-14T21:16:33.1781279Z Example:: 2025-08-14T21:16:33.1781396Z 2025-08-14T21:16:33.1781552Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-14T21:16:33.1781884Z >>> import threading 2025-08-14T21:16:33.1782142Z >>> import time 2025-08-14T21:16:33.1782393Z >>> def slow_set_future(fut, value): 2025-08-14T21:16:33.1782809Z ... time.sleep(0.5) 2025-08-14T21:16:33.1783072Z ... fut.set_result(value) 2025-08-14T21:16:33.1783373Z >>> fut = torch.futures.Future() 2025-08-14T21:16:33.1783674Z >>> t = threading.Thread( 2025-08-14T21:16:33.1783942Z ... target=slow_set_future, 2025-08-14T21:16:33.1784246Z ... args=(fut, torch.ones(2) * 3) 2025-08-14T21:16:33.1784543Z ... ) 2025-08-14T21:16:33.1784734Z >>> t.start() 2025-08-14T21:16:33.1784969Z >>> print(fut.wait()) 2025-08-14T21:16:33.1785221Z tensor([3., 3.]) 2025-08-14T21:16:33.1785446Z >>> t.join() 2025-08-14T21:16:33.1785451Z 2025-08-14T21:16:33.1785804Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.1785811Z 2025-08-14T21:16:33.1854001Z msg = Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=145. 2025-08-14T21:16:33.1854281Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.1854502Z Compiles compute shader from source and allows one to invoke kernels 2025-08-14T21:16:33.1854645Z defined there from the comfort of Python runtime 2025-08-14T21:16:33.1854755Z Example:: 2025-08-14T21:16:33.1854759Z 2025-08-14T21:16:33.1854891Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2025-08-14T21:16:33.1855019Z >>> lib = torch.mps.compile_shader( 2025-08-14T21:16:33.1855385Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2025-08-14T21:16:33.1855467Z ... ) 2025-08-14T21:16:33.1855589Z >>> x = torch.zeros(16, device="mps") 2025-08-14T21:16:33.1855684Z >>> lib.full(x, 3.14) 2025-08-14T21:16:33.1855761Z 2025-08-14T21:16:33.1856013Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.1856018Z 2025-08-14T21:16:33.2032483Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202. 2025-08-14T21:16:33.2032772Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.2032925Z Return the sum of each row of the given sparse tensor. 2025-08-14T21:16:33.2032930Z 2025-08-14T21:16:33.2033159Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2025-08-14T21:16:33.2033347Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2025-08-14T21:16:33.2033728Z reduce over all of them. When sum over all ``sparse_dim``, this method 2025-08-14T21:16:33.2033887Z returns a dense tensor instead of a sparse tensor. 2025-08-14T21:16:33.2033892Z 2025-08-14T21:16:33.2034135Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2025-08-14T21:16:33.2034337Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2025-08-14T21:16:33.2034341Z 2025-08-14T21:16:33.2034550Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2025-08-14T21:16:33.2034783Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2025-08-14T21:16:33.2034788Z 2025-08-14T21:16:33.2034884Z Args: 2025-08-14T21:16:33.2035003Z input (Tensor): the input sparse tensor 2025-08-14T21:16:33.2035264Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2025-08-14T21:16:33.2035370Z over all dims. 2025-08-14T21:16:33.2035616Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2025-08-14T21:16:33.2035740Z Default: dtype of :attr:`input`. 2025-08-14T21:16:33.2035745Z 2025-08-14T21:16:33.2035835Z Example:: 2025-08-14T21:16:33.2035840Z 2025-08-14T21:16:33.2035922Z >>> nnz = 3 2025-08-14T21:16:33.2036028Z >>> dims = [5, 5, 2, 3] 2025-08-14T21:16:33.2036184Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2025-08-14T21:16:33.2036453Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2025-08-14T21:16:33.2036583Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2025-08-14T21:16:33.2036683Z >>> size = torch.Size(dims) 2025-08-14T21:16:33.2036833Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:33.2036954Z >>> S = torch.sparse_coo_tensor(I, V, size) 2025-08-14T21:16:33.2037035Z >>> S 2025-08-14T21:16:33.2037155Z tensor(indices=tensor([[2, 0, 3], 2025-08-14T21:16:33.2037254Z [2, 4, 1]]), 2025-08-14T21:16:33.2037407Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2025-08-14T21:16:33.2037526Z [ 0.3411, 0.0918, -0.2312]], 2025-08-14T21:16:33.2037531Z 2025-08-14T21:16:33.2037638Z [[ 0.5348, 0.0634, -2.0494], 2025-08-14T21:16:33.2037757Z [-0.7125, -1.0646, 2.1844]], 2025-08-14T21:16:33.2037761Z 2025-08-14T21:16:33.2037870Z [[ 0.1276, 0.1874, -0.6334], 2025-08-14T21:16:33.2037976Z [-1.9682, -0.5340, 0.7483]]]), 2025-08-14T21:16:33.2038128Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2025-08-14T21:16:33.2038132Z 2025-08-14T21:16:33.2038315Z # when sum over only part of sparse_dims, return a sparse tensor 2025-08-14T21:16:33.2038423Z >>> torch.sparse.sum(S, [1, 3]) 2025-08-14T21:16:33.2038543Z tensor(indices=tensor([[0, 2, 3]]), 2025-08-14T21:16:33.2038654Z values=tensor([[-1.4512, 0.4073], 2025-08-14T21:16:33.2038764Z [-0.8901, 0.2017], 2025-08-14T21:16:33.2038862Z [-0.3183, -1.7539]]), 2025-08-14T21:16:33.2038991Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2025-08-14T21:16:33.2038995Z 2025-08-14T21:16:33.2039170Z # when sum over all sparse dim, return a dense tensor 2025-08-14T21:16:33.2039272Z # with summed dims squeezed 2025-08-14T21:16:33.2039386Z >>> torch.sparse.sum(S, [0, 1, 3]) 2025-08-14T21:16:33.2039497Z tensor([-2.6596, -1.1450]) 2025-08-14T21:16:33.2039577Z 2025-08-14T21:16:33.2039833Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.2039838Z 2025-08-14T21:16:33.2041685Z msg = Cannot scrape callname=as_sparse_gradcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=550. 2025-08-14T21:16:33.2042030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:33.2042228Z Decorate function, to extend gradcheck for sparse tensors. 2025-08-14T21:16:33.2042234Z 2025-08-14T21:16:33.2042440Z Decorator for torch.autograd.gradcheck or its functools.partial 2025-08-14T21:16:33.2042664Z variants that extends the gradcheck function with support to input 2025-08-14T21:16:33.2042830Z functions that operate on or/and return sparse tensors. 2025-08-14T21:16:33.2042840Z 2025-08-14T21:16:33.2043039Z The specified gradcheck function itself is guaranteed to operate 2025-08-14T21:16:33.2043155Z on strided tensors only. 2025-08-14T21:16:33.2043159Z 2025-08-14T21:16:33.2043246Z For example: 2025-08-14T21:16:33.2043250Z 2025-08-14T21:16:33.2043492Z >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck) 2025-08-14T21:16:33.2043576Z >>> x = ( 2025-08-14T21:16:33.2043726Z ... torch.tensor([[0, 1], [2, 3]], dtype=torch.float64) 2025-08-14T21:16:33.2043841Z ... .to_sparse_coo() 2025-08-14T21:16:33.2043943Z ... .requires_grad_(True) 2025-08-14T21:16:33.2044026Z ... ) 2025-08-14T21:16:33.2044165Z >>> gradcheck(lambda x: x.to_sparse_csr(), x) 2025-08-14T21:16:33.2044249Z True 2025-08-14T21:16:33.2044328Z 2025-08-14T21:16:33.2044584Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:33.2044588Z 2025-08-14T21:16:34.0886377Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-08-14T21:16:34.0887560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:34.0887930Z 2025-08-14T21:16:34.0888158Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-14T21:16:34.0888667Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-14T21:16:34.0889183Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-14T21:16:34.0889637Z vectorizing those operations. 2025-08-14T21:16:34.0889823Z 2025-08-14T21:16:34.0890025Z vmap is useful for handling batch dimensions: one can write a function 2025-08-14T21:16:34.0890534Z ``func`` that runs on examples and then lift it to a function that can 2025-08-14T21:16:34.0891041Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-14T21:16:34.0891559Z compute batched gradients when composed with autograd. 2025-08-14T21:16:34.0891832Z 2025-08-14T21:16:34.0891953Z .. note:: 2025-08-14T21:16:34.0892243Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-14T21:16:34.0892661Z convenience. Use whichever one you'd like. 2025-08-14T21:16:34.0892904Z 2025-08-14T21:16:34.0892986Z Args: 2025-08-14T21:16:34.0893311Z func (function): A Python function that takes one or more arguments. 2025-08-14T21:16:34.0893730Z Must return one or more Tensors. 2025-08-14T21:16:34.0894141Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-14T21:16:34.0894622Z inputs should be mapped over. ``in_dims`` should have a 2025-08-14T21:16:34.0895078Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-14T21:16:34.0895778Z input is None, then that indicates there is no map dimension. 2025-08-14T21:16:34.0896236Z Default: 0. 2025-08-14T21:16:34.0896694Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-14T21:16:34.0897514Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-14T21:16:34.0898188Z it should have one element per output. Default: 0. 2025-08-14T21:16:34.0898630Z randomness (str): Specifies whether the randomness in this 2025-08-14T21:16:34.0899109Z vmap should be the same or different across batches. If 'different', 2025-08-14T21:16:34.0899625Z the randomness for each batch will be different. If 'same', the 2025-08-14T21:16:34.0900308Z randomness will be the same across batches. If 'error', any calls to 2025-08-14T21:16:34.0900843Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-14T21:16:34.0901346Z only applies to random PyTorch operations and does not apply to 2025-08-14T21:16:34.0901795Z Python's random module or numpy randomness. 2025-08-14T21:16:34.0902257Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-14T21:16:34.0902792Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-14T21:16:34.0903373Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-14T21:16:34.0903994Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-14T21:16:34.0904363Z 2025-08-14T21:16:34.0904460Z Returns: 2025-08-14T21:16:34.0904749Z Returns a new "batched" function. It takes the same inputs as 2025-08-14T21:16:34.0905220Z ``func``, except each input has an extra dimension at the index 2025-08-14T21:16:34.0905772Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-14T21:16:34.0906235Z ``func``, except each output has an extra dimension at the index 2025-08-14T21:16:34.0906636Z specified by ``out_dims``. 2025-08-14T21:16:34.0906831Z 2025-08-14T21:16:34.0906916Z .. warning: 2025-08-14T21:16:34.0907239Z :func:`vmap` works best with functional-style code. Please do not 2025-08-14T21:16:34.0907786Z perform any side-effects in ``func``, with the exception of 2025-08-14T21:16:34.0908305Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-14T21:16:34.0908865Z Python data structures and assigning values to variables not captured 2025-08-14T21:16:34.0909269Z in ``func``. 2025-08-14T21:16:34.0909419Z 2025-08-14T21:16:34.0909643Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-14T21:16:34.0910193Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-14T21:16:34.0910735Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-14T21:16:34.0911055Z 2025-08-14T21:16:34.0911179Z >>> torch.dot # [D], [D] -> [] 2025-08-14T21:16:34.0911578Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-14T21:16:34.0912012Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-14T21:16:34.0912329Z >>> batched_dot(x, y) 2025-08-14T21:16:34.0912501Z 2025-08-14T21:16:34.0912725Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-14T21:16:34.0913164Z model authoring experience. 2025-08-14T21:16:34.0913338Z 2025-08-14T21:16:34.0913464Z >>> batch_size, feature_size = 3, 5 2025-08-14T21:16:34.0913828Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-14T21:16:34.0914191Z >>> 2025-08-14T21:16:34.0914407Z >>> def model(feature_vec): 2025-08-14T21:16:34.0914704Z >>> # Very simple linear model with activation 2025-08-14T21:16:34.0915069Z >>> return feature_vec.dot(weights).relu() 2025-08-14T21:16:34.0915386Z >>> 2025-08-14T21:16:34.0915639Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-14T21:16:34.0916011Z >>> result = torch.vmap(model)(examples) 2025-08-14T21:16:34.0916226Z 2025-08-14T21:16:34.0916476Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-14T21:16:34.0917059Z or impossible to batch. One example is higher-order gradient computation. 2025-08-14T21:16:34.0917622Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-14T21:16:34.0918179Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-14T21:16:34.0918754Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-14T21:16:34.0919323Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-14T21:16:34.0919767Z call to ``autograd.grad``. 2025-08-14T21:16:34.0919946Z 2025-08-14T21:16:34.0920031Z >>> # Setup 2025-08-14T21:16:34.0920344Z >>> N = 5 2025-08-14T21:16:34.0920561Z >>> f = lambda x: x**2 2025-08-14T21:16:34.0920857Z >>> x = torch.randn(N, requires_grad=True) 2025-08-14T21:16:34.0921177Z >>> y = f(x) 2025-08-14T21:16:34.0921396Z >>> I_N = torch.eye(N) 2025-08-14T21:16:34.0921649Z >>> 2025-08-14T21:16:34.0921870Z >>> # Sequential approach 2025-08-14T21:16:34.0922250Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-14T21:16:34.0922695Z >>> for v in I_N.unbind()] 2025-08-14T21:16:34.0923043Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-14T21:16:34.0923348Z >>> 2025-08-14T21:16:34.0923584Z >>> # vectorized gradient computation 2025-08-14T21:16:34.0923902Z >>> def get_vjp(v): 2025-08-14T21:16:34.0924176Z >>> return torch.autograd.grad(y, x, v) 2025-08-14T21:16:34.0924527Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-14T21:16:34.0924757Z 2025-08-14T21:16:34.0925014Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-14T21:16:34.0925384Z 2025-08-14T21:16:34.0925496Z >>> torch.dot # [D], [D] -> [] 2025-08-14T21:16:34.0925786Z >>> batched_dot = torch.vmap( 2025-08-14T21:16:34.0926082Z ... torch.vmap(torch.dot) 2025-08-14T21:16:34.0926383Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-14T21:16:34.0926728Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-14T21:16:34.0927169Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-14T21:16:34.0927405Z 2025-08-14T21:16:34.0927634Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-14T21:16:34.0928132Z the dimension that each inputs are batched along as 2025-08-14T21:16:34.0928386Z 2025-08-14T21:16:34.0928488Z >>> torch.dot # [N], [N] -> [] 2025-08-14T21:16:34.0928900Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-14T21:16:34.0929355Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-14T21:16:34.0929672Z >>> batched_dot( 2025-08-14T21:16:34.0929905Z ... x, y 2025-08-14T21:16:34.0930231Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-14T21:16:34.0930524Z 2025-08-14T21:16:34.0930788Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-14T21:16:34.0931338Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-14T21:16:34.0931656Z 2025-08-14T21:16:34.0931755Z >>> torch.dot # [D], [D] -> [] 2025-08-14T21:16:34.0932178Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-14T21:16:34.0932627Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-14T21:16:34.0932940Z >>> batched_dot( 2025-08-14T21:16:34.0933179Z ... x, y 2025-08-14T21:16:34.0933504Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-14T21:16:34.0933806Z 2025-08-14T21:16:34.0934036Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-14T21:16:34.0934491Z matching the shape of the input: 2025-08-14T21:16:34.0934684Z 2025-08-14T21:16:34.0934833Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-14T21:16:34.0935183Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-14T21:16:34.0935507Z >>> input = {"x": x, "y": y} 2025-08-14T21:16:34.0935862Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-14T21:16:34.0936247Z >>> batched_dot(input) 2025-08-14T21:16:34.0936412Z 2025-08-14T21:16:34.0936671Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-14T21:16:34.0937166Z along any dimension by using ``out_dims`` 2025-08-14T21:16:34.0937385Z 2025-08-14T21:16:34.0937489Z >>> f = lambda x: x**2 2025-08-14T21:16:34.0937742Z >>> x = torch.randn(2, 5) 2025-08-14T21:16:34.0938044Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-14T21:16:34.0938380Z >>> batched_pow(x) # [5, 2] 2025-08-14T21:16:34.0938638Z 2025-08-14T21:16:34.0938932Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-14T21:16:34.0939405Z accept kwargs 2025-08-14T21:16:34.0939548Z 2025-08-14T21:16:34.0939645Z >>> x = torch.randn([2, 5]) 2025-08-14T21:16:34.0939930Z >>> def fn(x, scale=4.): 2025-08-14T21:16:34.0940191Z >>> return x * scale 2025-08-14T21:16:34.0940440Z >>> 2025-08-14T21:16:34.0940666Z >>> batched_pow = torch.vmap(fn) 2025-08-14T21:16:34.0940993Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-14T21:16:34.0941452Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-14T21:16:34.0941778Z 2025-08-14T21:16:34.0941899Z .. note:: 2025-08-14T21:16:34.0942221Z vmap does not provide general autobatching or handle variable-length 2025-08-14T21:16:34.0942644Z sequences out of the box. 2025-08-14T21:16:34.0942831Z 2025-08-14T21:16:34.0943077Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:34.0943426Z 2025-08-14T21:16:34.0943933Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-08-14T21:16:34.0944740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:34.0945319Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-14T21:16:34.0946025Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-14T21:16:34.0946444Z compute higher-order gradients. 2025-08-14T21:16:34.0946645Z 2025-08-14T21:16:34.0946739Z Args: 2025-08-14T21:16:34.0947054Z func (Callable): A Python function that takes one or more arguments. 2025-08-14T21:16:34.0947624Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-14T21:16:34.0948244Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-14T21:16:34.0948706Z ``(output, aux)``. 2025-08-14T21:16:34.0949149Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-14T21:16:34.0949724Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-14T21:16:34.0950243Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-14T21:16:34.0950715Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-14T21:16:34.0950995Z 2025-08-14T21:16:34.0951077Z Returns: 2025-08-14T21:16:34.0951473Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-14T21:16:34.0952072Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-14T21:16:34.0952672Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-14T21:16:34.0953292Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-14T21:16:34.0953791Z respect to each ``argnums`` value is returned. 2025-08-14T21:16:34.0954035Z 2025-08-14T21:16:34.0954137Z Example of using ``grad``: 2025-08-14T21:16:34.0954328Z 2025-08-14T21:16:34.0954425Z >>> # xdoctest: +SKIP 2025-08-14T21:16:34.0954714Z >>> from torch.func import grad 2025-08-14T21:16:34.0955028Z >>> x = torch.randn([]) 2025-08-14T21:16:34.0955325Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-14T21:16:34.0955681Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-14T21:16:34.0955995Z >>> 2025-08-14T21:16:34.0956210Z >>> # Second-order gradients 2025-08-14T21:16:34.0956557Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-14T21:16:34.0956947Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-14T21:16:34.0957179Z 2025-08-14T21:16:34.0957417Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-14T21:16:34.0957867Z 2025-08-14T21:16:34.0957966Z >>> # xdoctest: +SKIP 2025-08-14T21:16:34.0958266Z >>> from torch.func import grad, vmap 2025-08-14T21:16:34.0958606Z >>> batch_size, feature_size = 3, 5 2025-08-14T21:16:34.0958894Z >>> 2025-08-14T21:16:34.0959130Z >>> def model(weights, feature_vec): 2025-08-14T21:16:34.0959485Z >>> # Very simple linear model with activation 2025-08-14T21:16:34.0959825Z >>> assert feature_vec.dim() == 1 2025-08-14T21:16:34.0960173Z >>> return feature_vec.dot(weights).relu() 2025-08-14T21:16:34.0960493Z >>> 2025-08-14T21:16:34.0960738Z >>> def compute_loss(weights, example, target): 2025-08-14T21:16:34.0961094Z >>> y = model(weights, example) 2025-08-14T21:16:34.0961446Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-14T21:16:34.0961778Z >>> 2025-08-14T21:16:34.0962061Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-14T21:16:34.0962501Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-14T21:16:34.0962875Z >>> targets = torch.randn(batch_size) 2025-08-14T21:16:34.0963203Z >>> inputs = (weights, examples, targets) 2025-08-14T21:16:34.0963658Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-14T21:16:34.0964087Z ... *inputs 2025-08-14T21:16:34.0964311Z ... ) 2025-08-14T21:16:34.0964510Z 2025-08-14T21:16:34.0964680Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-14T21:16:34.0964965Z 2025-08-14T21:16:34.0965061Z >>> # xdoctest: +SKIP 2025-08-14T21:16:34.0965349Z >>> from torch.func import grad 2025-08-14T21:16:34.0965654Z >>> def my_loss_func(y, y_pred): 2025-08-14T21:16:34.0965994Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-14T21:16:34.0966341Z >>> loss = loss_per_sample.mean() 2025-08-14T21:16:34.0966676Z >>> return loss, (y_pred, loss_per_sample) 2025-08-14T21:16:34.0966998Z >>> 2025-08-14T21:16:34.0967265Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-14T21:16:34.0967610Z >>> y_true = torch.rand(4) 2025-08-14T21:16:34.0967932Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-14T21:16:34.0968276Z >>> out = fn(y_true, y_preds) 2025-08-14T21:16:34.0968711Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-14T21:16:34.0969062Z 2025-08-14T21:16:34.0969156Z .. note:: 2025-08-14T21:16:34.0969451Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-14T21:16:34.0969719Z 2025-08-14T21:16:34.0969874Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-14T21:16:34.0970121Z 2025-08-14T21:16:34.0970219Z >>> # xdoctest: +SKIP 2025-08-14T21:16:34.0970502Z >>> def f(x): 2025-08-14T21:16:34.0970771Z >>> with torch.no_grad(): 2025-08-14T21:16:34.0971084Z >>> c = x ** 2 2025-08-14T21:16:34.0971357Z >>> return x - c 2025-08-14T21:16:34.0971543Z 2025-08-14T21:16:34.0971731Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-14T21:16:34.0972031Z 2025-08-14T21:16:34.0972221Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-14T21:16:34.0972512Z 2025-08-14T21:16:34.0972608Z >>> # xdoctest: +SKIP 2025-08-14T21:16:34.0972903Z >>> with torch.no_grad(): 2025-08-14T21:16:34.0973193Z >>> grad(f)(x) 2025-08-14T21:16:34.0973361Z 2025-08-14T21:16:34.0973587Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-14T21:16:34.0974119Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-14T21:16:34.0974661Z should not depend on the result of a context manager outside of ``f``. 2025-08-14T21:16:34.0974981Z 2025-08-14T21:16:34.0975072Z 2025-08-14T21:16:34.0975484Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:34.0975849Z 2025-08-14T21:16:35.6605920Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=397. 2025-08-14T21:16:35.6606878Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:35.6607397Z Register a FakeTensor implementation for this custom op. 2025-08-14T21:16:35.6607749Z 2025-08-14T21:16:35.6607990Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-14T21:16:35.6608354Z 2025-08-14T21:16:35.6608567Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-14T21:16:35.6609114Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-14T21:16:35.6609600Z Given some input Tensors with certain properties 2025-08-14T21:16:35.6610103Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-14T21:16:35.6610565Z the output Tensors are. 2025-08-14T21:16:35.6610745Z 2025-08-14T21:16:35.6610956Z Please see :func:`torch.library.register_fake` for more details. 2025-08-14T21:16:35.6611263Z 2025-08-14T21:16:35.6611357Z Args: 2025-08-14T21:16:35.6611648Z fn (Callable): The function to register as the FakeTensor 2025-08-14T21:16:35.6612297Z implementation. 2025-08-14T21:16:35.6612473Z 2025-08-14T21:16:35.6612572Z Examples: 2025-08-14T21:16:35.6612797Z >>> import torch 2025-08-14T21:16:35.6613072Z >>> import numpy as np 2025-08-14T21:16:35.6613372Z >>> from torch import Tensor 2025-08-14T21:16:35.6613648Z >>> 2025-08-14T21:16:35.6613963Z >>> # Example 1: an operator without data-dependent output shape 2025-08-14T21:16:35.6614477Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-14T21:16:35.6614975Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-14T21:16:35.6615378Z >>> return (x @ weight.t()) + bias 2025-08-14T21:16:35.6615689Z >>> 2025-08-14T21:16:35.6615928Z >>> @linear.register_fake 2025-08-14T21:16:35.6616218Z >>> def _(x, weight, bias): 2025-08-14T21:16:35.6616519Z >>> assert x.dim() == 2 2025-08-14T21:16:35.6616836Z >>> assert weight.dim() == 2 2025-08-14T21:16:35.6617145Z >>> assert bias.dim() == 1 2025-08-14T21:16:35.6617483Z >>> assert x.shape[1] == weight.shape[1] 2025-08-14T21:16:35.6617852Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-14T21:16:35.6618205Z >>> assert x.device == weight.device 2025-08-14T21:16:35.6618581Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-14T21:16:35.6618921Z >>> 2025-08-14T21:16:35.6619160Z >>> x = torch.randn(2, 2) 2025-08-14T21:16:35.6619453Z >>> weight = torch.randn(2, 2) 2025-08-14T21:16:35.6619767Z >>> bias = torch.randn(2) 2025-08-14T21:16:35.6620099Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:35.6620518Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-14T21:16:35.6620949Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:35.6621437Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-14T21:16:35.6621874Z >>> 2025-08-14T21:16:35.6622168Z >>> # Example 2: an operator with data-dependent output shape 2025-08-14T21:16:35.6622648Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-14T21:16:35.6623076Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-14T21:16:35.6623396Z >>> x_np = x.cpu().numpy() 2025-08-14T21:16:35.6623870Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-14T21:16:35.6624261Z >>> return torch.tensor(res, device=x.device) 2025-08-14T21:16:35.6624581Z >>> 2025-08-14T21:16:35.6624826Z >>> @nonzero.register_fake 2025-08-14T21:16:35.6625129Z >>> def _(x): 2025-08-14T21:16:35.6633415Z >>> # Number of nonzero-elements is data-dependent. 2025-08-14T21:16:35.6633874Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-14T21:16:35.6634319Z >>> # we use the ctx object to construct a new symint that 2025-08-14T21:16:35.6634718Z >>> # represents the data-dependent size. 2025-08-14T21:16:35.6635079Z >>> ctx = torch.library.get_ctx() 2025-08-14T21:16:35.6635430Z >>> nnz = ctx.new_dynamic_size() 2025-08-14T21:16:35.6635748Z >>> shape = [nnz, x.dim()] 2025-08-14T21:16:35.6636111Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-14T21:16:35.6636475Z >>> return result 2025-08-14T21:16:35.6636736Z >>> 2025-08-14T21:16:35.6636989Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-14T21:16:35.6637352Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:35.6637735Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-14T21:16:35.6638122Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:35.6638632Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-14T21:16:35.6638865Z 2025-08-14T21:16:35.6638965Z 2025-08-14T21:16:35.6639580Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-08-14T21:16:35.6640201Z 2025-08-14T21:16:35.6640284Z _._ = None 2025-08-14T21:16:35.6640486Z ^ 2025-08-14T21:16:35.6731602Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-08-14T21:16:35.6732530Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.6732908Z 2025-08-14T21:16:35.6733125Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-14T21:16:35.6733694Z kernel registration will override any existing fake kernel registrations. 2025-08-14T21:16:35.6734038Z 2025-08-14T21:16:35.6734255Z The input is a dictionary mapping operator names to a set of operator 2025-08-14T21:16:35.6734788Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-14T21:16:35.6735322Z are a record of the input and output tensor metadata. Based on this 2025-08-14T21:16:35.6735856Z information we will match a given input to the recorded profile, and return 2025-08-14T21:16:35.6736403Z an output with the same metadata as in the recorded profile. If a profile 2025-08-14T21:16:35.6736872Z doesn't exist then an exception will be thrown. 2025-08-14T21:16:35.6737126Z 2025-08-14T21:16:35.6737353Z The fake kernel generation is considered unsafe because it relies on the 2025-08-14T21:16:35.6737906Z rigid, pre-defined operator profiles that do not account for potential 2025-08-14T21:16:35.6738465Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-14T21:16:35.6739064Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-14T21:16:35.6739652Z possible that data-dependent operations may produce outputs of different 2025-08-14T21:16:35.6740201Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-14T21:16:35.6740739Z are inflexible and unable to accommodate these nuances, making them 2025-08-14T21:16:35.6741154Z potentially unsafe. 2025-08-14T21:16:35.6741300Z 2025-08-14T21:16:35.6741393Z Args: 2025-08-14T21:16:35.6741710Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-14T21:16:35.6742227Z name to a set of operator profiles from which we will generate fake 2025-08-14T21:16:35.6742802Z kernels. 2025-08-14T21:16:35.6742938Z 2025-08-14T21:16:35.6743025Z Examples: 2025-08-14T21:16:35.6743157Z 2025-08-14T21:16:35.6743324Z >>> # Example: Registering an op-profile from draft-export 2025-08-14T21:16:35.6743688Z >>> import torch 2025-08-14T21:16:35.6743998Z >>> from torch.export._draft_export import draft_export 2025-08-14T21:16:35.6744338Z >>> 2025-08-14T21:16:35.6744663Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-14T21:16:35.6745076Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-14T21:16:35.6745387Z >>> return x + y 2025-08-14T21:16:35.6745711Z >>> 2025-08-14T21:16:35.6745939Z >>> class M(torch.nn.Module): 2025-08-14T21:16:35.6746227Z >>> def forward(self, a, b): 2025-08-14T21:16:35.6746575Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-14T21:16:35.6746925Z >>> return res 2025-08-14T21:16:35.6747160Z >>> 2025-08-14T21:16:35.6747451Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-14T21:16:35.6747837Z >>> 2025-08-14T21:16:35.6748237Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-14T21:16:35.6748745Z >>> decomp = ep.run_decompositions() 2025-08-14T21:16:35.6748976Z 2025-08-14T21:16:35.6748980Z 2025-08-14T21:16:35.6749221Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.6749707Z 2025-08-14T21:16:35.6791525Z msg = Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=96. 2025-08-14T21:16:35.6792554Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.6793168Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2025-08-14T21:16:35.6793522Z 2025-08-14T21:16:35.6793722Z This is a more structured way of using triton kernels with PyTorch. 2025-08-14T21:16:35.6794293Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2025-08-14T21:16:35.6794903Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2025-08-14T21:16:35.6795354Z that is simpler; 2025-08-14T21:16:35.6795740Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2025-08-14T21:16:35.6796329Z want to create an operator that behaves like PyTorch built-in operators. 2025-08-14T21:16:35.6796874Z For example, you may use a ``torch.library`` wrapper API to define the 2025-08-14T21:16:35.6797387Z behavior of the triton kernel when passed a tensor subclass or under 2025-08-14T21:16:35.6797866Z a TorchDispatchMode. 2025-08-14T21:16:35.6798128Z 2025-08-14T21:16:35.6798398Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2025-08-14T21:16:35.6798894Z when the implementation 2025-08-14T21:16:35.6799508Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2025-08-14T21:16:35.6800288Z custom operators as opaque (:func:`torch.compile` and 2025-08-14T21:16:35.6800788Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2025-08-14T21:16:35.6801334Z makes the implementation visible to these subsystems, allowing them 2025-08-14T21:16:35.6801773Z to optimize the triton kernel(s). 2025-08-14T21:16:35.6801976Z 2025-08-14T21:16:35.6802172Z Note that ``fn`` must only consist of calls to PyTorch-understood 2025-08-14T21:16:35.6802694Z operators and triton kernels. Any triton kernels called inside ``fn`` 2025-08-14T21:16:35.6803208Z must be wrapped in a call to :func:`torch.library.wrap_triton`. 2025-08-14T21:16:35.6803510Z 2025-08-14T21:16:35.6803593Z Args: 2025-08-14T21:16:35.6804047Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2025-08-14T21:16:35.6804576Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2025-08-14T21:16:35.6805206Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2025-08-14T21:16:35.6805719Z To avoid name collisions, please use your project name as the namespace; 2025-08-14T21:16:35.6806273Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2025-08-14T21:16:35.6806844Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2025-08-14T21:16:35.6807463Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2025-08-14T21:16:35.6808066Z it pessimistically assumes that all inputs to the operator are being mutated. 2025-08-14T21:16:35.6808625Z schema (None | str): A schema string for the operator. If None 2025-08-14T21:16:35.6809106Z (recommended) we'll infer a schema for the operator from its type 2025-08-14T21:16:35.6809628Z annotations. We recommend letting us infer a schema unless you 2025-08-14T21:16:35.6810062Z have a specific reason not to. 2025-08-14T21:16:35.6810418Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2025-08-14T21:16:35.6810683Z 2025-08-14T21:16:35.6810774Z Example:: 2025-08-14T21:16:35.6810899Z 2025-08-14T21:16:35.6811044Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:35.6811384Z >>> import torch 2025-08-14T21:16:35.6811685Z >>> from torch.library import triton_op, wrap_triton 2025-08-14T21:16:35.6812128Z >>> 2025-08-14T21:16:35.6812350Z >>> import triton 2025-08-14T21:16:35.6812621Z >>> from triton import language as tl 2025-08-14T21:16:35.6812932Z >>> 2025-08-14T21:16:35.6813148Z >>> @triton.jit 2025-08-14T21:16:35.6813390Z >>> def add_kernel( 2025-08-14T21:16:35.6813653Z >>> in_ptr0, 2025-08-14T21:16:35.6813902Z >>> in_ptr1, 2025-08-14T21:16:35.6814138Z >>> out_ptr, 2025-08-14T21:16:35.6814388Z >>> n_elements, 2025-08-14T21:16:35.6814678Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-14T21:16:35.6814964Z >>> ): 2025-08-14T21:16:35.6815201Z >>> pid = tl.program_id(axis=0) 2025-08-14T21:16:35.6815527Z >>> block_start = pid * BLOCK_SIZE 2025-08-14T21:16:35.6815879Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-14T21:16:35.6816245Z >>> mask = offsets < n_elements 2025-08-14T21:16:35.6816596Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-14T21:16:35.6816950Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-14T21:16:35.6817281Z >>> output = x + y 2025-08-14T21:16:35.6817601Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-14T21:16:35.6817923Z >>> 2025-08-14T21:16:35.6818175Z >>> @triton_op("mylib::add", mutates_args={}) 2025-08-14T21:16:35.6818587Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2025-08-14T21:16:35.6818988Z >>> output = torch.empty_like(x) 2025-08-14T21:16:35.6819306Z >>> n_elements = output.numel() 2025-08-14T21:16:35.6819600Z >>> 2025-08-14T21:16:35.6819815Z >>> def grid(meta): 2025-08-14T21:16:35.6820144Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-14T21:16:35.6820509Z >>> 2025-08-14T21:16:35.6820802Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2025-08-14T21:16:35.6821267Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2025-08-14T21:16:35.6821657Z >>> return output 2025-08-14T21:16:35.6821914Z >>> 2025-08-14T21:16:35.6822117Z >>> @torch.compile 2025-08-14T21:16:35.6822373Z >>> def f(x, y): 2025-08-14T21:16:35.6822627Z >>> return add(x, y) 2025-08-14T21:16:35.6822888Z >>> 2025-08-14T21:16:35.6823108Z >>> x = torch.randn(3, device="cuda") 2025-08-14T21:16:35.6823441Z >>> y = torch.randn(3, device="cuda") 2025-08-14T21:16:35.6823738Z >>> 2025-08-14T21:16:35.6824014Z >>> z = f(x, y) 2025-08-14T21:16:35.6824283Z >>> assert torch.allclose(z, x + y) 2025-08-14T21:16:35.6824495Z 2025-08-14T21:16:35.6824585Z 2025-08-14T21:16:35.6824928Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.6825290Z 2025-08-14T21:16:35.6825895Z msg = Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=296. 2025-08-14T21:16:35.6826748Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.6827297Z Allows capture of a triton kernel into a graph via make_fx or 2025-08-14T21:16:35.6827700Z non-strict ``torch.export``. 2025-08-14T21:16:35.6827889Z 2025-08-14T21:16:35.6828064Z These technologies perform Dispatcher-based tracing (via 2025-08-14T21:16:35.6828539Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2025-08-14T21:16:35.6829046Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2025-08-14T21:16:35.6829449Z can actually be traced into a graph. 2025-08-14T21:16:35.6829678Z 2025-08-14T21:16:35.6829878Z Please use this API together with :func:`torch.library.triton_op`. 2025-08-14T21:16:35.6830199Z 2025-08-14T21:16:35.6830284Z Examples: 2025-08-14T21:16:35.6830409Z 2025-08-14T21:16:35.6830517Z >>> # xdoctest: +SKIP 2025-08-14T21:16:35.6830848Z >>> import torch 2025-08-14T21:16:35.6831102Z >>> import triton 2025-08-14T21:16:35.6831386Z >>> from triton import language as tl 2025-08-14T21:16:35.6831782Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-14T21:16:35.6832201Z >>> from torch.library import wrap_triton 2025-08-14T21:16:35.6832518Z >>> 2025-08-14T21:16:35.6832718Z >>> @triton.jit 2025-08-14T21:16:35.6832966Z >>> def add_kernel( 2025-08-14T21:16:35.6833223Z >>> in_ptr0, 2025-08-14T21:16:35.6833474Z >>> in_ptr1, 2025-08-14T21:16:35.6833705Z >>> out_ptr, 2025-08-14T21:16:35.6833951Z >>> n_elements, 2025-08-14T21:16:35.6834228Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-14T21:16:35.6834514Z >>> ): 2025-08-14T21:16:35.6834749Z >>> pid = tl.program_id(axis=0) 2025-08-14T21:16:35.6835074Z >>> block_start = pid * BLOCK_SIZE 2025-08-14T21:16:35.6835426Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-14T21:16:35.6835793Z >>> mask = offsets < n_elements 2025-08-14T21:16:35.6836129Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-14T21:16:35.6836478Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-14T21:16:35.6836820Z >>> output = x + y 2025-08-14T21:16:35.6837141Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-14T21:16:35.6837481Z >>> 2025-08-14T21:16:35.6837684Z >>> def add(x, y): 2025-08-14T21:16:35.6837970Z >>> output = torch.empty_like(x) 2025-08-14T21:16:35.6838299Z >>> n_elements = output.numel() 2025-08-14T21:16:35.6838587Z >>> 2025-08-14T21:16:35.6838808Z >>> def grid_fn(meta): 2025-08-14T21:16:35.6839175Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-14T21:16:35.6839541Z >>> 2025-08-14T21:16:35.6839842Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2025-08-14T21:16:35.6840253Z >>> return output 2025-08-14T21:16:35.6840521Z >>> 2025-08-14T21:16:35.6840744Z >>> x = torch.randn(3, device="cuda") 2025-08-14T21:16:35.6841076Z >>> y = torch.randn(3, device="cuda") 2025-08-14T21:16:35.6841396Z >>> gm = make_fx(add)(x, y) 2025-08-14T21:16:35.6841672Z >>> print(gm.code) 2025-08-14T21:16:35.6841948Z >>> # def forward(self, x_1, y_1): 2025-08-14T21:16:35.6842385Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2025-08-14T21:16:35.6843033Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2025-08-14T21:16:35.6843502Z >>> # kernel_idx = 0, constant_args_idx = 0, 2025-08-14T21:16:35.6843852Z >>> # grid = [(1, 1, 1)], kwargs = { 2025-08-14T21:16:35.6844232Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2025-08-14T21:16:35.6844609Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2025-08-14T21:16:35.6844935Z >>> # }) 2025-08-14T21:16:35.6845189Z >>> # return empty_like 2025-08-14T21:16:35.6845379Z 2025-08-14T21:16:35.6845457Z 2025-08-14T21:16:35.6845808Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.6846174Z 2025-08-14T21:16:35.7570342Z msg = Cannot scrape callname=print_assert_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=286. 2025-08-14T21:16:35.7571288Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.7571715Z 2025-08-14T21:16:35.7571942Z Test if two objects are equal, and print an error message if test fails. 2025-08-14T21:16:35.7572263Z 2025-08-14T21:16:35.7572488Z The test is performed with ``actual == desired``. 2025-08-14T21:16:35.7572960Z 2025-08-14T21:16:35.7573129Z Parameters 2025-08-14T21:16:35.7573442Z ---------- 2025-08-14T21:16:35.7573914Z test_string : str 2025-08-14T21:16:35.7574182Z The message supplied to AssertionError. 2025-08-14T21:16:35.7574499Z actual : object 2025-08-14T21:16:35.7574771Z The object to test for equality against `desired`. 2025-08-14T21:16:35.7575258Z desired : object 2025-08-14T21:16:35.7575566Z The expected result. 2025-08-14T21:16:35.7575725Z 2025-08-14T21:16:35.7575939Z Examples 2025-08-14T21:16:35.7576440Z -------- 2025-08-14T21:16:35.7576778Z >>> np.testing.print_assert_equal( 2025-08-14T21:16:35.7577379Z ... "Test XYZ of func xyz", [0, 1], [0, 1] 2025-08-14T21:16:35.7577760Z ... ) # doctest: +SKIP 2025-08-14T21:16:35.7578015Z >>> np.testing.print_assert_equal( 2025-08-14T21:16:35.7578332Z ... "Test XYZ of func xyz", [0, 1], [0, 2] 2025-08-14T21:16:35.7578645Z ... ) # doctest: +SKIP 2025-08-14T21:16:35.7578914Z Traceback (most recent call last): 2025-08-14T21:16:35.7579182Z ... 2025-08-14T21:16:35.7579420Z AssertionError: Test XYZ of func xyz failed 2025-08-14T21:16:35.7579833Z ACTUAL: 2025-08-14T21:16:35.7580122Z [0, 1] 2025-08-14T21:16:35.7580322Z DESIRED: 2025-08-14T21:16:35.7580521Z [0, 2] 2025-08-14T21:16:35.7580660Z 2025-08-14T21:16:35.7580665Z 2025-08-14T21:16:35.7581115Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.7581744Z 2025-08-14T21:16:35.7582277Z msg = Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=331. 2025-08-14T21:16:35.7583177Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.7583539Z 2025-08-14T21:16:35.7583751Z Raises an AssertionError if two items are not equal up to desired 2025-08-14T21:16:35.7584263Z precision. 2025-08-14T21:16:35.7584434Z 2025-08-14T21:16:35.7584614Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-14T21:16:35.7585348Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-14T21:16:35.7586051Z instead of this function for more consistent floating point 2025-08-14T21:16:35.7586454Z comparisons. 2025-08-14T21:16:35.7586622Z 2025-08-14T21:16:35.7586824Z The test verifies that the elements of `actual` and `desired` satisfy. 2025-08-14T21:16:35.7587136Z 2025-08-14T21:16:35.7587306Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2025-08-14T21:16:35.7587566Z 2025-08-14T21:16:35.7587785Z That is a looser test than originally documented, but agrees with what the 2025-08-14T21:16:35.7588524Z actual implementation in `assert_array_almost_equal` did up to rounding 2025-08-14T21:16:35.7589090Z vagaries. An exception is raised at conflicting values. For ndarrays this 2025-08-14T21:16:35.7589545Z delegates to assert_array_almost_equal 2025-08-14T21:16:35.7589752Z 2025-08-14T21:16:35.7589838Z Parameters 2025-08-14T21:16:35.7590047Z ---------- 2025-08-14T21:16:35.7590261Z actual : array_like 2025-08-14T21:16:35.7590489Z The object to check. 2025-08-14T21:16:35.7590746Z desired : array_like 2025-08-14T21:16:35.7590998Z The expected object. 2025-08-14T21:16:35.7591244Z decimal : int, optional 2025-08-14T21:16:35.7591514Z Desired precision, default is 7. 2025-08-14T21:16:35.7591817Z err_msg : str, optional 2025-08-14T21:16:35.7592110Z The error message to be printed in case of failure. 2025-08-14T21:16:35.7592466Z verbose : bool, optional 2025-08-14T21:16:35.7592836Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:35.7593140Z 2025-08-14T21:16:35.7593238Z Raises 2025-08-14T21:16:35.7593422Z ------ 2025-08-14T21:16:35.7593633Z AssertionError 2025-08-14T21:16:35.7593955Z If actual and desired are not equal up to specified precision. 2025-08-14T21:16:35.7594248Z 2025-08-14T21:16:35.7594333Z See Also 2025-08-14T21:16:35.7594531Z -------- 2025-08-14T21:16:35.7594877Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:35.7595331Z relative and/or absolute precision. 2025-08-14T21:16:35.7595899Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:35.7596207Z 2025-08-14T21:16:35.7596309Z Examples 2025-08-14T21:16:35.7596503Z -------- 2025-08-14T21:16:35.7596784Z >>> from torch._numpy.testing import assert_almost_equal 2025-08-14T21:16:35.7597187Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2025-08-14T21:16:35.7597595Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2025-08-14T21:16:35.7597974Z Traceback (most recent call last): 2025-08-14T21:16:35.7598264Z ... 2025-08-14T21:16:35.7598476Z AssertionError: 2025-08-14T21:16:35.7598730Z Arrays are not almost equal to 10 decimals 2025-08-14T21:16:35.7599050Z ACTUAL: 2.3333333333333 2025-08-14T21:16:35.7599307Z DESIRED: 2.33333334 2025-08-14T21:16:35.7599454Z 2025-08-14T21:16:35.7599549Z >>> assert_almost_equal( 2025-08-14T21:16:35.7599912Z ... np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9 2025-08-14T21:16:35.7600303Z ... ) 2025-08-14T21:16:35.7600516Z Traceback (most recent call last): 2025-08-14T21:16:35.7600808Z ... 2025-08-14T21:16:35.7601020Z AssertionError: 2025-08-14T21:16:35.7601266Z Arrays are not almost equal to 9 decimals 2025-08-14T21:16:35.7601571Z 2025-08-14T21:16:35.7601794Z Mismatched elements: 1 / 2 (50%) 2025-08-14T21:16:35.7602104Z Max absolute difference: 6.666699636781459e-09 2025-08-14T21:16:35.7602452Z Max relative difference: 2.8571569790287484e-09 2025-08-14T21:16:35.7602825Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-14T21:16:35.7603201Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-14T21:16:35.7603433Z 2025-08-14T21:16:35.7603437Z 2025-08-14T21:16:35.7603676Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.7604040Z 2025-08-14T21:16:35.7604570Z msg = Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=457. 2025-08-14T21:16:35.7605460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.7605823Z 2025-08-14T21:16:35.7606045Z Raises an AssertionError if two items are not equal up to significant 2025-08-14T21:16:35.7606441Z digits. 2025-08-14T21:16:35.7606562Z 2025-08-14T21:16:35.7606736Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-14T21:16:35.7607186Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-14T21:16:35.7607654Z instead of this function for more consistent floating point 2025-08-14T21:16:35.7608109Z comparisons. 2025-08-14T21:16:35.7608278Z 2025-08-14T21:16:35.7608453Z Given two numbers, check that they are approximately equal. 2025-08-14T21:16:35.7608949Z Approximately equal is defined as the number of significant digits 2025-08-14T21:16:35.7609341Z that agree. 2025-08-14T21:16:35.7609473Z 2025-08-14T21:16:35.7609561Z Parameters 2025-08-14T21:16:35.7609769Z ---------- 2025-08-14T21:16:35.7609964Z actual : scalar 2025-08-14T21:16:35.7610202Z The object to check. 2025-08-14T21:16:35.7610456Z desired : scalar 2025-08-14T21:16:35.7610679Z The expected object. 2025-08-14T21:16:35.7610946Z significant : int, optional 2025-08-14T21:16:35.7611229Z Desired precision, default is 7. 2025-08-14T21:16:35.7611531Z err_msg : str, optional 2025-08-14T21:16:35.7611823Z The error message to be printed in case of failure. 2025-08-14T21:16:35.7612176Z verbose : bool, optional 2025-08-14T21:16:35.7612536Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:35.7612839Z 2025-08-14T21:16:35.7612923Z Raises 2025-08-14T21:16:35.7613120Z ------ 2025-08-14T21:16:35.7613324Z AssertionError 2025-08-14T21:16:35.7613634Z If actual and desired are not equal up to specified precision. 2025-08-14T21:16:35.7613938Z 2025-08-14T21:16:35.7614019Z See Also 2025-08-14T21:16:35.7614220Z -------- 2025-08-14T21:16:35.7614550Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:35.7615084Z relative and/or absolute precision. 2025-08-14T21:16:35.7615519Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:35.7615823Z 2025-08-14T21:16:35.7615920Z Examples 2025-08-14T21:16:35.7616109Z -------- 2025-08-14T21:16:35.7616348Z >>> np.testing.assert_approx_equal( 2025-08-14T21:16:35.7616660Z ... 0.12345677777777e-20, 0.1234567e-20 2025-08-14T21:16:35.7616949Z ... ) # doctest: +SKIP 2025-08-14T21:16:35.7617213Z >>> np.testing.assert_approx_equal( 2025-08-14T21:16:35.7617507Z ... 0.12345670e-20, 2025-08-14T21:16:35.7617755Z ... 0.12345671e-20, # doctest: +SKIP 2025-08-14T21:16:35.7618054Z ... significant=8, 2025-08-14T21:16:35.7618289Z ... ) 2025-08-14T21:16:35.7618498Z >>> np.testing.assert_approx_equal( 2025-08-14T21:16:35.7618790Z ... 0.12345670e-20, 2025-08-14T21:16:35.7619111Z ... 0.12345672e-20, # doctest: +SKIP 2025-08-14T21:16:35.7619410Z ... significant=8, 2025-08-14T21:16:35.7619643Z ... ) 2025-08-14T21:16:35.7619857Z Traceback (most recent call last): 2025-08-14T21:16:35.7620137Z ... 2025-08-14T21:16:35.7620344Z AssertionError: 2025-08-14T21:16:35.7620598Z Items are not equal to 8 significant digits: 2025-08-14T21:16:35.7620920Z ACTUAL: 1.234567e-21 2025-08-14T21:16:35.7621163Z DESIRED: 1.2345672e-21 2025-08-14T21:16:35.7621311Z 2025-08-14T21:16:35.7621476Z the evaluated condition that raises the exception is 2025-08-14T21:16:35.7621732Z 2025-08-14T21:16:35.7621917Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1) 2025-08-14T21:16:35.7622295Z True 2025-08-14T21:16:35.7622407Z 2025-08-14T21:16:35.7622411Z 2025-08-14T21:16:35.7622663Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.7623013Z 2025-08-14T21:16:35.7623556Z msg = Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=744. 2025-08-14T21:16:35.7624430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.7624808Z 2025-08-14T21:16:35.7625006Z Raises an AssertionError if two array_like objects are not equal. 2025-08-14T21:16:35.7625307Z 2025-08-14T21:16:35.7625514Z Given two array_like objects, check that the shape is equal and all 2025-08-14T21:16:35.7626122Z elements of these objects are equal (but see the Notes for the special 2025-08-14T21:16:35.7626629Z handling of a scalar). An exception is raised at shape mismatch or 2025-08-14T21:16:35.7627228Z conflicting values. In contrast to the standard usage in numpy, NaNs 2025-08-14T21:16:35.7627767Z are compared like numbers, no assertion is raised if both objects have 2025-08-14T21:16:35.7628178Z NaNs in the same positions. 2025-08-14T21:16:35.7628363Z 2025-08-14T21:16:35.7628579Z The usual caution for verifying equality with floating point numbers is 2025-08-14T21:16:35.7628994Z advised. 2025-08-14T21:16:35.7629108Z 2025-08-14T21:16:35.7629195Z Parameters 2025-08-14T21:16:35.7629406Z ---------- 2025-08-14T21:16:35.7629638Z x : array_like 2025-08-14T21:16:35.7629873Z The actual object to check. 2025-08-14T21:16:35.7630134Z y : array_like 2025-08-14T21:16:35.7630376Z The desired, expected object. 2025-08-14T21:16:35.7630673Z err_msg : str, optional 2025-08-14T21:16:35.7630970Z The error message to be printed in case of failure. 2025-08-14T21:16:35.7631325Z verbose : bool, optional 2025-08-14T21:16:35.7631695Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:35.7632089Z strict : bool, optional 2025-08-14T21:16:35.7632449Z If True, raise an AssertionError when either the shape or the data 2025-08-14T21:16:35.7632931Z type of the array_like objects does not match. The special 2025-08-14T21:16:35.7633396Z handling for scalars mentioned in the Notes section is disabled. 2025-08-14T21:16:35.7633712Z 2025-08-14T21:16:35.7633793Z Raises 2025-08-14T21:16:35.7633998Z ------ 2025-08-14T21:16:35.7634210Z AssertionError 2025-08-14T21:16:35.7635256Z If actual and desired objects are not equal. 2025-08-14T21:16:35.7635622Z 2025-08-14T21:16:35.7635763Z See Also 2025-08-14T21:16:35.7636146Z -------- 2025-08-14T21:16:35.7636609Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:35.7637086Z relative and/or absolute precision. 2025-08-14T21:16:35.7637526Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:35.7637836Z 2025-08-14T21:16:35.7637917Z Notes 2025-08-14T21:16:35.7638119Z ----- 2025-08-14T21:16:35.7638417Z When one of `x` and `y` is a scalar and the other is array_like, the 2025-08-14T21:16:35.7638920Z function checks that each element of the array_like object is equal to 2025-08-14T21:16:35.7639451Z the scalar. This behaviour can be disabled with the `strict` parameter. 2025-08-14T21:16:35.7639784Z 2025-08-14T21:16:35.7639867Z Examples 2025-08-14T21:16:35.7640065Z -------- 2025-08-14T21:16:35.7640298Z The first assert does not raise an exception: 2025-08-14T21:16:35.7640546Z 2025-08-14T21:16:35.7640655Z >>> np.testing.assert_array_equal( 2025-08-14T21:16:35.7640995Z ... [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan] 2025-08-14T21:16:35.7641312Z ... ) 2025-08-14T21:16:35.7641432Z 2025-08-14T21:16:35.7641648Z Use `assert_allclose` or one of the nulp (number of floating point values) 2025-08-14T21:16:35.7642087Z functions for these cases instead: 2025-08-14T21:16:35.7642283Z 2025-08-14T21:16:35.7642404Z >>> np.testing.assert_allclose( 2025-08-14T21:16:35.7642781Z ... [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0 2025-08-14T21:16:35.7643168Z ... ) 2025-08-14T21:16:35.7643275Z 2025-08-14T21:16:35.7643481Z As mentioned in the Notes section, `assert_array_equal` has special 2025-08-14T21:16:35.7643993Z handling for scalars. Here the test checks that each value in `x` is 3: 2025-08-14T21:16:35.7644328Z 2025-08-14T21:16:35.7644432Z >>> x = np.full((2, 5), fill_value=3) 2025-08-14T21:16:35.7644744Z >>> np.testing.assert_array_equal(x, 3) 2025-08-14T21:16:35.7644960Z 2025-08-14T21:16:35.7645175Z Use `strict` to raise an AssertionError when comparing a scalar with an 2025-08-14T21:16:35.7645562Z array: 2025-08-14T21:16:35.7645684Z 2025-08-14T21:16:35.7645827Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2025-08-14T21:16:35.7646190Z Traceback (most recent call last): 2025-08-14T21:16:35.7646459Z ... 2025-08-14T21:16:35.7646665Z AssertionError: 2025-08-14T21:16:35.7646901Z Arrays are not equal 2025-08-14T21:16:35.7647128Z 2025-08-14T21:16:35.7647428Z (shapes (2, 5), () mismatch) 2025-08-14T21:16:35.7647715Z x: torch.ndarray([[3, 3, 3, 3, 3], 2025-08-14T21:16:35.7648005Z [3, 3, 3, 3, 3]]) 2025-08-14T21:16:35.7648247Z y: torch.ndarray(3) 2025-08-14T21:16:35.7648408Z 2025-08-14T21:16:35.7648612Z The `strict` parameter also ensures that the array data types match: 2025-08-14T21:16:35.7648925Z 2025-08-14T21:16:35.7649039Z >>> x = np.array([2, 2, 2]) 2025-08-14T21:16:35.7649327Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32) 2025-08-14T21:16:35.7649716Z >>> np.testing.assert_array_equal(x, y, strict=True) 2025-08-14T21:16:35.7650075Z Traceback (most recent call last): 2025-08-14T21:16:35.7650346Z ... 2025-08-14T21:16:35.7650548Z AssertionError: 2025-08-14T21:16:35.7650775Z Arrays are not equal 2025-08-14T21:16:35.7650997Z 2025-08-14T21:16:35.7651257Z (dtypes dtype("int64"), dtype("float32") mismatch) 2025-08-14T21:16:35.7651603Z x: torch.ndarray([2, 2, 2]) 2025-08-14T21:16:35.7651881Z y: torch.ndarray([2., 2., 2.]) 2025-08-14T21:16:35.7652060Z 2025-08-14T21:16:35.7652304Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.7652666Z 2025-08-14T21:16:35.7653219Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=851. 2025-08-14T21:16:35.7654130Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.7654556Z 2025-08-14T21:16:35.7654773Z Raises an AssertionError if two objects are not equal up to desired 2025-08-14T21:16:35.7655161Z precision. 2025-08-14T21:16:35.7655296Z 2025-08-14T21:16:35.7655467Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-14T21:16:35.7655918Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-14T21:16:35.7656375Z instead of this function for more consistent floating point 2025-08-14T21:16:35.7656761Z comparisons. 2025-08-14T21:16:35.7656908Z 2025-08-14T21:16:35.7657148Z The test verifies identical shapes and that the elements of ``actual`` and 2025-08-14T21:16:35.7657583Z ``desired`` satisfy. 2025-08-14T21:16:35.7657729Z 2025-08-14T21:16:35.7657854Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2025-08-14T21:16:35.7658095Z 2025-08-14T21:16:35.7658310Z That is a looser test than originally documented, but agrees with what the 2025-08-14T21:16:35.7658873Z actual implementation did up to rounding vagaries. An exception is raised 2025-08-14T21:16:35.7659438Z at shape mismatch or conflicting values. In contrast to the standard usage 2025-08-14T21:16:35.7659989Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2025-08-14T21:16:35.7660438Z objects have NaNs in the same positions. 2025-08-14T21:16:35.7660654Z 2025-08-14T21:16:35.7660751Z Parameters 2025-08-14T21:16:35.7660948Z ---------- 2025-08-14T21:16:35.7661159Z x : array_like 2025-08-14T21:16:35.7661394Z The actual object to check. 2025-08-14T21:16:35.7661653Z y : array_like 2025-08-14T21:16:35.7661899Z The desired, expected object. 2025-08-14T21:16:35.7662190Z decimal : int, optional 2025-08-14T21:16:35.7662450Z Desired precision, default is 6. 2025-08-14T21:16:35.7662750Z err_msg : str, optional 2025-08-14T21:16:35.7663055Z The error message to be printed in case of failure. 2025-08-14T21:16:35.7663396Z verbose : bool, optional 2025-08-14T21:16:35.7663760Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:35.7664066Z 2025-08-14T21:16:35.7664158Z Raises 2025-08-14T21:16:35.7664355Z ------ 2025-08-14T21:16:35.7664550Z AssertionError 2025-08-14T21:16:35.7664879Z If actual and desired are not equal up to specified precision. 2025-08-14T21:16:35.7665171Z 2025-08-14T21:16:35.7665268Z See Also 2025-08-14T21:16:35.7665457Z -------- 2025-08-14T21:16:35.7665912Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:35.7666390Z relative and/or absolute precision. 2025-08-14T21:16:35.7666916Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:35.7667237Z 2025-08-14T21:16:35.7667321Z Examples 2025-08-14T21:16:35.7667528Z -------- 2025-08-14T21:16:35.7667761Z the first assert does not raise an exception 2025-08-14T21:16:35.7668001Z 2025-08-14T21:16:35.7668243Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan]) 2025-08-14T21:16:35.7668612Z 2025-08-14T21:16:35.7668736Z >>> np.testing.assert_array_almost_equal( 2025-08-14T21:16:35.7669110Z ... [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5 2025-08-14T21:16:35.7669436Z ... ) 2025-08-14T21:16:35.7669662Z Traceback (most recent call last): 2025-08-14T21:16:35.7669942Z ... 2025-08-14T21:16:35.7670137Z AssertionError: 2025-08-14T21:16:35.7670397Z Arrays are not almost equal to 5 decimals 2025-08-14T21:16:35.7670707Z 2025-08-14T21:16:35.7670923Z Mismatched elements: 1 / 3 (33.3%) 2025-08-14T21:16:35.7671241Z Max absolute difference: 5.999999999994898e-05 2025-08-14T21:16:35.7671602Z Max relative difference: 2.5713661239633743e-05 2025-08-14T21:16:35.7671993Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-14T21:16:35.7672399Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2025-08-14T21:16:35.7672669Z 2025-08-14T21:16:35.7672783Z >>> np.testing.assert_array_almost_equal( 2025-08-14T21:16:35.7673138Z ... [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5 2025-08-14T21:16:35.7673511Z ... ) 2025-08-14T21:16:35.7673729Z Traceback (most recent call last): 2025-08-14T21:16:35.7674008Z ... 2025-08-14T21:16:35.7674201Z AssertionError: 2025-08-14T21:16:35.7674456Z Arrays are not almost equal to 5 decimals 2025-08-14T21:16:35.7674762Z 2025-08-14T21:16:35.7674981Z x and y nan location mismatch: 2025-08-14T21:16:35.7675320Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-14T21:16:35.7675746Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2025-08-14T21:16:35.7676205Z 2025-08-14T21:16:35.7676209Z 2025-08-14T21:16:35.7676473Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.7676828Z 2025-08-14T21:16:35.7677436Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1848. 2025-08-14T21:16:35.7678332Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:35.7678905Z Context manager that resets warning registry for catching warnings 2025-08-14T21:16:35.7679212Z 2025-08-14T21:16:35.7679456Z Warnings can be slippery, because, whenever a warning is triggered, Python 2025-08-14T21:16:35.7680018Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2025-08-14T21:16:35.7680563Z it impossible to retrigger the warning in this module, whatever you put in 2025-08-14T21:16:35.7681136Z the warnings filters. This context manager accepts a sequence of `modules` 2025-08-14T21:16:35.7681622Z as a keyword argument to its constructor and: 2025-08-14T21:16:35.7681856Z 2025-08-14T21:16:35.7682073Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2025-08-14T21:16:35.7682494Z on entry; 2025-08-14T21:16:35.7682814Z * resets ``__warningregistry__`` to its previous state on exit. 2025-08-14T21:16:35.7683101Z 2025-08-14T21:16:35.7683328Z This makes it possible to trigger any warning afresh inside the context 2025-08-14T21:16:35.7683822Z manager without disturbing the state of warnings outside. 2025-08-14T21:16:35.7684115Z 2025-08-14T21:16:35.7684338Z For compatibility with Python 3.0, please consider all arguments to be 2025-08-14T21:16:35.7684765Z keyword-only. 2025-08-14T21:16:35.7684902Z 2025-08-14T21:16:35.7684986Z Parameters 2025-08-14T21:16:35.7685208Z ---------- 2025-08-14T21:16:35.7685435Z record : bool, optional 2025-08-14T21:16:35.7685791Z Specifies whether warnings should be captured by a custom 2025-08-14T21:16:35.7686416Z implementation of ``warnings.showwarning()`` and be appended to a list 2025-08-14T21:16:35.7686968Z returned by the context manager. Otherwise None is returned by the 2025-08-14T21:16:35.7687507Z context manager. The objects appended to the list are arguments whose 2025-08-14T21:16:35.7687992Z attributes mirror the arguments to ``showwarning()``. 2025-08-14T21:16:35.7688377Z modules : sequence, optional 2025-08-14T21:16:35.7688788Z Sequence of modules for which to reset warnings registry on entry and 2025-08-14T21:16:35.7689290Z restore on exit. To work correctly, all 'ignore' filters should 2025-08-14T21:16:35.7689699Z filter by one of these modules. 2025-08-14T21:16:35.7689913Z 2025-08-14T21:16:35.7689997Z Examples 2025-08-14T21:16:35.7690212Z -------- 2025-08-14T21:16:35.7690415Z >>> import warnings 2025-08-14T21:16:35.7690750Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2025-08-14T21:16:35.7691155Z ... modules=[np.core.fromnumeric] 2025-08-14T21:16:35.7691442Z ... ): 2025-08-14T21:16:35.7691676Z ... warnings.simplefilter("always") 2025-08-14T21:16:35.7692111Z ... warnings.filterwarnings("ignore", module="np.core.fromnumeric") 2025-08-14T21:16:35.7692594Z ... # do something that raises a warning but ignore those in 2025-08-14T21:16:35.7692972Z ... # np.core.fromnumeric 2025-08-14T21:16:35.7693329Z 2025-08-14T21:16:35.7693683Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:35.7694035Z 2025-08-14T21:16:36.1173812Z msg = Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354. 2025-08-14T21:16:36.1174735Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.1175301Z Applies a 1D convolution over a quantized input signal composed of 2025-08-14T21:16:36.1175763Z several quantized input planes. 2025-08-14T21:16:36.1176150Z 2025-08-14T21:16:36.1176487Z For details on input arguments, parameters, and implementation see 2025-08-14T21:16:36.1177143Z :class:`~torch.nn.Conv1d`. 2025-08-14T21:16:36.1177375Z 2025-08-14T21:16:36.1177474Z .. note:: 2025-08-14T21:16:36.1177800Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2025-08-14T21:16:36.1178115Z 2025-08-14T21:16:36.1178198Z .. note:: 2025-08-14T21:16:36.1178517Z Only `torch.quint8` is supported for the input data type. 2025-08-14T21:16:36.1178796Z 2025-08-14T21:16:36.1178800Z 2025-08-14T21:16:36.1178889Z Attributes: 2025-08-14T21:16:36.1179228Z weight (Tensor): packed tensor derived from the learnable weight 2025-08-14T21:16:36.1179646Z parameter. 2025-08-14T21:16:36.1179977Z scale (Tensor): scalar for the output scale 2025-08-14T21:16:36.1180399Z zero_point (Tensor): scalar for the output zero point 2025-08-14T21:16:36.1180678Z 2025-08-14T21:16:36.1180828Z See :class:`~torch.nn.Conv1d` for other attributes. 2025-08-14T21:16:36.1181081Z 2025-08-14T21:16:36.1181185Z Examples:: 2025-08-14T21:16:36.1181314Z 2025-08-14T21:16:36.1181459Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2025-08-14T21:16:36.1181852Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2025-08-14T21:16:36.1182206Z >>> input = torch.randn(20, 16, 100) 2025-08-14T21:16:36.1182522Z >>> # quantize input to quint8 2025-08-14T21:16:36.1182835Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.1183224Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2025-08-14T21:16:36.1183678Z ... dtype=torch.quint8) 2025-08-14T21:16:36.1184008Z >>> output = m(q_input) 2025-08-14T21:16:36.1184202Z 2025-08-14T21:16:36.1184282Z 2025-08-14T21:16:36.1184643Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.1185268Z 2025-08-14T21:16:36.1362403Z msg = Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12. 2025-08-14T21:16:36.1363290Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.1363781Z A quantized long short-term memory (LSTM). 2025-08-14T21:16:36.1364004Z 2025-08-14T21:16:36.1364283Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2025-08-14T21:16:36.1364670Z 2025-08-14T21:16:36.1364757Z Attributes: 2025-08-14T21:16:36.1365011Z layers : instances of the `_LSTMLayer` 2025-08-14T21:16:36.1365260Z 2025-08-14T21:16:36.1365349Z .. note:: 2025-08-14T21:16:36.1365683Z To access the weights and biases, you need to access them per layer. 2025-08-14T21:16:36.1366162Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2025-08-14T21:16:36.1366446Z 2025-08-14T21:16:36.1366535Z Examples:: 2025-08-14T21:16:36.1366777Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.1367049Z >>> custom_module_config = { 2025-08-14T21:16:36.1367381Z ... 'float_to_observed_custom_module_class': { 2025-08-14T21:16:36.1367744Z ... nn.LSTM: nn.quantizable.LSTM, 2025-08-14T21:16:36.1368060Z ... }, 2025-08-14T21:16:36.1368329Z ... 'observed_to_quantized_custom_module_class': { 2025-08-14T21:16:36.1368882Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2025-08-14T21:16:36.1369218Z ... } 2025-08-14T21:16:36.1369423Z ... } 2025-08-14T21:16:36.1369767Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2025-08-14T21:16:36.1370310Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2025-08-14T21:16:36.1370705Z 2025-08-14T21:16:36.1371061Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.1371427Z 2025-08-14T21:16:36.1951569Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-14T21:16:36.1952720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.1953080Z 2025-08-14T21:16:36.1953342Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-14T21:16:36.1953920Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-14T21:16:36.1954508Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-14T21:16:36.1954950Z input by the user. 2025-08-14T21:16:36.1955306Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-14T21:16:36.1955772Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-14T21:16:36.1956037Z 2025-08-14T21:16:36.1956128Z Note:: 2025-08-14T21:16:36.1956555Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-14T21:16:36.1956966Z 2025-08-14T21:16:36.1957059Z Args: 2025-08-14T21:16:36.1957258Z model (nn.Module): 2025-08-14T21:16:36.1957632Z The model whose layers will be sparsified. The layers that needs to be 2025-08-14T21:16:36.1958191Z sparsified should be added separately using the register_layer() function 2025-08-14T21:16:36.1958638Z aggregate_fn (Optional, Callable): 2025-08-14T21:16:36.1959101Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-14T21:16:36.1959627Z specifies how inputs should be aggregated over time. 2025-08-14T21:16:36.1960154Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-14T21:16:36.1960627Z Example 2025-08-14T21:16:36.1960928Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-14T21:16:36.1961323Z reduce_fn (Optional, Callable): 2025-08-14T21:16:36.1961922Z default reduce_fn that is used if not specified while registering the layer. 2025-08-14T21:16:36.1962525Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-14T21:16:36.1963001Z calling agg_fn() on all inputs. 2025-08-14T21:16:36.1963298Z Example 2025-08-14T21:16:36.1963643Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-14T21:16:36.1964064Z mask_fn (Optional, Callable): 2025-08-14T21:16:36.1964577Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-14T21:16:36.1965220Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-14T21:16:36.1965673Z register_layer(). 2025-08-14T21:16:36.1966194Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-14T21:16:36.1966726Z arguments. 2025-08-14T21:16:36.1967000Z features (Optional, list): 2025-08-14T21:16:36.1967334Z default selected features to sparsify. 2025-08-14T21:16:36.1967828Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-14T21:16:36.1968279Z For example, 2025-08-14T21:16:36.1968694Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-14T21:16:36.1969267Z feature_dim (Optional, int): 2025-08-14T21:16:36.1969737Z default dimension of input features. Again, features along this dim will be chosen 2025-08-14T21:16:36.1970222Z for sparsification. 2025-08-14T21:16:36.1970523Z sparse_config (Dict): 2025-08-14T21:16:36.1970911Z Default configuration for the mask_fn. This config will be passed 2025-08-14T21:16:36.1971338Z with the mask_fn() 2025-08-14T21:16:36.1971538Z 2025-08-14T21:16:36.1971626Z Example: 2025-08-14T21:16:36.1971846Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.1972103Z >>> model = SomeModel() 2025-08-14T21:16:36.1972518Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-14T21:16:36.1973116Z >>> # Initialize aggregate_fn 2025-08-14T21:16:36.1973655Z >>> def agg_fn(x, y): 2025-08-14T21:16:36.1974008Z >>> return x + y 2025-08-14T21:16:36.1974253Z >>> 2025-08-14T21:16:36.1974459Z >>> # Initialize reduce_fn 2025-08-14T21:16:36.1974731Z >>> def reduce_fn(x): 2025-08-14T21:16:36.1975000Z >>> return torch.mean(x, dim=0) 2025-08-14T21:16:36.1975282Z >>> 2025-08-14T21:16:36.1975492Z >>> # Initialize mask_fn 2025-08-14T21:16:36.1975765Z >>> def mask_fn(data): 2025-08-14T21:16:36.1976253Z >>> return torch.eye(data.shape).to(data.device) 2025-08-14T21:16:36.1976580Z >>> 2025-08-14T21:16:36.1976781Z >>> 2025-08-14T21:16:36.1977025Z >>> act_sparsifier.register_layer( 2025-08-14T21:16:36.1977330Z ... model.some_layer, 2025-08-14T21:16:36.1977609Z ... aggregate_fn=agg_fn, 2025-08-14T21:16:36.1977897Z ... reduce_fn=reduce_fn, 2025-08-14T21:16:36.1978169Z ... mask_fn=mask_fn, 2025-08-14T21:16:36.1978428Z ... ) 2025-08-14T21:16:36.1978632Z >>> 2025-08-14T21:16:36.1978835Z >>> # start training process 2025-08-14T21:16:36.1979118Z >>> for _ in [...]: 2025-08-14T21:16:36.1979371Z >>> # epoch starts 2025-08-14T21:16:36.1979683Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-14T21:16:36.1980062Z >>> # epoch ends 2025-08-14T21:16:36.1980319Z >>> act_sparsifier.step() 2025-08-14T21:16:36.1980600Z >>> # end training process 2025-08-14T21:16:36.1980894Z >>> sparsifier.squash_mask() 2025-08-14T21:16:36.1981085Z 2025-08-14T21:16:36.1981340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.1981686Z 2025-08-14T21:16:36.1982686Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91. 2025-08-14T21:16:36.1983845Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.1984208Z 2025-08-14T21:16:36.1984401Z Abstract method that needs to be implemented by the child class. 2025-08-14T21:16:36.1984965Z The expected return type should is a dictionary of name to schedule_param value 2025-08-14T21:16:36.1985579Z The returned values will be updated in sparsifier when the scheduler step() function 2025-08-14T21:16:36.1986104Z is called. 2025-08-14T21:16:36.1986235Z 2025-08-14T21:16:36.1986318Z Example: 2025-08-14T21:16:36.1986553Z >>> def get_schedule_param(self): 2025-08-14T21:16:36.1986856Z ... new_param = {} 2025-08-14T21:16:36.1987166Z ... for name in self.sparsifier.data_groups.keys(): 2025-08-14T21:16:36.1987537Z ... new_param[name] = ( 2025-08-14T21:16:36.1987935Z ... self.sparsifier.data_groups[name][self.schedule_param] * 0.5 2025-08-14T21:16:36.1988321Z ... ) 2025-08-14T21:16:36.1988558Z ... return new_param 2025-08-14T21:16:36.1988728Z 2025-08-14T21:16:36.1989062Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param] 2025-08-14T21:16:36.1989677Z would be halved 2025-08-14T21:16:36.1989824Z 2025-08-14T21:16:36.1990065Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.1990429Z 2025-08-14T21:16:36.2200334Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2025-08-14T21:16:36.2201361Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.2201896Z Squashes the sparse masks into the appropriate tensors. 2025-08-14T21:16:36.2202173Z 2025-08-14T21:16:36.2202372Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2025-08-14T21:16:36.2202864Z the module will have a `sparse_params` dict attached to it. 2025-08-14T21:16:36.2203150Z 2025-08-14T21:16:36.2203244Z Args: 2025-08-14T21:16:36.2203543Z params_to_keep: List of keys to save in the module or a dict 2025-08-14T21:16:36.2203999Z representing the modules and keys that will have 2025-08-14T21:16:36.2204400Z sparsity parameters saved 2025-08-14T21:16:36.2204836Z params_to_keep_per_layer: Dict to specify the params that should be 2025-08-14T21:16:36.2205293Z saved for specific layers. The keys in the dict 2025-08-14T21:16:36.2205732Z should be the module fqn, while the values should 2025-08-14T21:16:36.2206167Z be a list of strings with the names of the variables 2025-08-14T21:16:36.2206562Z to save in the `sparse_params` 2025-08-14T21:16:36.2206788Z 2025-08-14T21:16:36.2206874Z Examples: 2025-08-14T21:16:36.2207142Z >>> # xdoctest: +SKIP("locals are undefined") 2025-08-14T21:16:36.2207493Z >>> # Don't save any sparse params 2025-08-14T21:16:36.2207813Z >>> sparsifier.squash_mask() 2025-08-14T21:16:36.2208166Z >>> hasattr(model.submodule1, "sparse_params") 2025-08-14T21:16:36.2208500Z False 2025-08-14T21:16:36.2208629Z 2025-08-14T21:16:36.2208755Z >>> # Keep sparse params per layer 2025-08-14T21:16:36.2209071Z >>> sparsifier.squash_mask( 2025-08-14T21:16:36.2209395Z ... params_to_keep_per_layer={ 2025-08-14T21:16:36.2209741Z ... "submodule1.linear1": ("foo", "bar"), 2025-08-14T21:16:36.2210096Z ... "submodule2.linear42": ("baz",), 2025-08-14T21:16:36.2210413Z ... } 2025-08-14T21:16:36.2211240Z ... ) 2025-08-14T21:16:36.2211532Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-14T21:16:36.2211898Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:36.2212248Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-14T21:16:36.2212596Z {'baz': 0.1} 2025-08-14T21:16:36.2212764Z 2025-08-14T21:16:36.2212882Z >>> # Keep sparse params for all layers 2025-08-14T21:16:36.2213292Z >>> sparsifier.squash_mask(params_to_keep=("foo", "bar")) 2025-08-14T21:16:36.2213726Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-14T21:16:36.2214073Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:36.2214417Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-14T21:16:36.2214776Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:36.2214958Z 2025-08-14T21:16:36.2215147Z >>> # Keep some sparse params for all layers, and specific ones for 2025-08-14T21:16:36.2215551Z >>> # some other layers 2025-08-14T21:16:36.2215854Z >>> sparsifier.squash_mask( 2025-08-14T21:16:36.2216177Z ... params_to_keep=("foo", "bar"), 2025-08-14T21:16:36.2216576Z ... params_to_keep_per_layer={"submodule2.linear42": ("baz",)}, 2025-08-14T21:16:36.2216958Z ... ) 2025-08-14T21:16:36.2217249Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-14T21:16:36.2217686Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:36.2218035Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-14T21:16:36.2218412Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2025-08-14T21:16:36.2218697Z 2025-08-14T21:16:36.2219058Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.2219422Z 2025-08-14T21:16:36.2993559Z msg = Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2025-08-14T21:16:36.2994571Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.2994929Z 2025-08-14T21:16:36.2995181Z Config object that specifies the supported data types passed as arguments to 2025-08-14T21:16:36.2995752Z quantize ops in the reference model spec, for input and output activations, 2025-08-14T21:16:36.2996192Z weights, and biases. 2025-08-14T21:16:36.2996363Z 2025-08-14T21:16:36.2996515Z For example, consider the following reference model: 2025-08-14T21:16:36.2996772Z 2025-08-14T21:16:36.2996942Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2025-08-14T21:16:36.2997194Z 2025-08-14T21:16:36.2997397Z The pattern in the square brackets refers to the reference pattern of 2025-08-14T21:16:36.2997952Z statically quantized linear. Setting the input dtype as `torch.quint8` 2025-08-14T21:16:36.2998518Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2025-08-14T21:16:36.2999075Z to the first quantize op (quant1). Similarly, setting the output dtype as 2025-08-14T21:16:36.2999604Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2025-08-14T21:16:36.3000044Z the second quantize op (quant2). 2025-08-14T21:16:36.3000236Z 2025-08-14T21:16:36.3000459Z Note that the dtype here does not refer to the interface dtypes of the 2025-08-14T21:16:36.3000966Z op. For example, the "input dtype" here is not the dtype of the input 2025-08-14T21:16:36.3001486Z tensor passed to the quantized linear op. Though it can still be the 2025-08-14T21:16:36.3001998Z same as the interface dtype, this is not always the case, e.g. the 2025-08-14T21:16:36.3002516Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2025-08-14T21:16:36.3003034Z specified in the DTypeConfig would still be quint8. The semantics of 2025-08-14T21:16:36.3003557Z dtypes here are the same as the semantics of the dtypes specified in 2025-08-14T21:16:36.3003969Z the observers. 2025-08-14T21:16:36.3004099Z 2025-08-14T21:16:36.3004469Z These dtypes are matched against the ones specified in the user's 2025-08-14T21:16:36.3004988Z QConfig. If there is a match, and the QConfig satisfies the constraints 2025-08-14T21:16:36.3005529Z specified in the DTypeConfig (if any), then we will quantize the given 2025-08-14T21:16:36.3006071Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2025-08-14T21:16:36.3006495Z the pattern will not be quantized. 2025-08-14T21:16:36.3006710Z 2025-08-14T21:16:36.3006826Z Example usage:: 2025-08-14T21:16:36.3006961Z 2025-08-14T21:16:36.3007079Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:36.3007370Z >>> dtype_config1 = DTypeConfig( 2025-08-14T21:16:36.3007679Z ... input_dtype=torch.quint8, 2025-08-14T21:16:36.3007984Z ... output_dtype=torch.quint8, 2025-08-14T21:16:36.3008280Z ... weight_dtype=torch.qint8, 2025-08-14T21:16:36.3008583Z ... bias_dtype=torch.float) 2025-08-14T21:16:36.3008785Z 2025-08-14T21:16:36.3008891Z >>> dtype_config2 = DTypeConfig( 2025-08-14T21:16:36.3009217Z ... input_dtype=DTypeWithConstraints( 2025-08-14T21:16:36.3009535Z ... dtype=torch.quint8, 2025-08-14T21:16:36.3009833Z ... quant_min_lower_bound=0, 2025-08-14T21:16:36.3010147Z ... quant_max_upper_bound=255, 2025-08-14T21:16:36.3010429Z ... ), 2025-08-14T21:16:36.3010680Z ... output_dtype=DTypeWithConstraints( 2025-08-14T21:16:36.3011113Z ... dtype=torch.quint8, 2025-08-14T21:16:36.3011400Z ... quant_min_lower_bound=0, 2025-08-14T21:16:36.3011715Z ... quant_max_upper_bound=255, 2025-08-14T21:16:36.3012013Z ... ), 2025-08-14T21:16:36.3012257Z ... weight_dtype=DTypeWithConstraints( 2025-08-14T21:16:36.3012593Z ... dtype=torch.qint8, 2025-08-14T21:16:36.3012896Z ... quant_min_lower_bound=-128, 2025-08-14T21:16:36.3013212Z ... quant_max_upper_bound=127, 2025-08-14T21:16:36.3013489Z ... ), 2025-08-14T21:16:36.3013724Z ... bias_dtype=torch.float) 2025-08-14T21:16:36.3013914Z 2025-08-14T21:16:36.3014030Z >>> dtype_config1.input_dtype 2025-08-14T21:16:36.3014300Z torch.quint8 2025-08-14T21:16:36.3014445Z 2025-08-14T21:16:36.3014547Z >>> dtype_config2.input_dtype 2025-08-14T21:16:36.3014826Z torch.quint8 2025-08-14T21:16:36.3014957Z 2025-08-14T21:16:36.3015086Z >>> dtype_config2.input_dtype_with_constraints 2025-08-14T21:16:36.3015851Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2025-08-14T21:16:36.3016476Z 2025-08-14T21:16:36.3016717Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.3017068Z 2025-08-14T21:16:36.3963961Z msg = Cannot scrape callname=ModelReport in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24. 2025-08-14T21:16:36.3965012Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.3965377Z 2025-08-14T21:16:36.3965684Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into 2025-08-14T21:16:36.3966359Z with their models. The class works with all traceable GraphModules to help diagnose issues, 2025-08-14T21:16:36.3967077Z though the requirements on the type of model more-so depends on the specific report the user 2025-08-14T21:16:36.3967771Z is trying to generate. With respect to the reports, the ModelReport class is initialized with 2025-08-14T21:16:36.3968429Z a set of Detector classes, each of which generate reports on quantization configuration 2025-08-14T21:16:36.3968910Z issues a use might have. 2025-08-14T21:16:36.3969075Z 2025-08-14T21:16:36.3969196Z Currently supports generating reports on: 2025-08-14T21:16:36.3969641Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module) 2025-08-14T21:16:36.3970391Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules) 2025-08-14T21:16:36.3971046Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules) 2025-08-14T21:16:36.3971639Z - Suggestions for outlier detection for all layers (Graph Modules) 2025-08-14T21:16:36.3971961Z 2025-08-14T21:16:36.3972336Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver) 2025-08-14T21:16:36.3973194Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport 2025-08-14T21:16:36.3974023Z class compiles the report generated by each Detector class into a single report to return to the user. It also 2025-08-14T21:16:36.3974684Z has the capability to remove all the observers it inserted as well. 2025-08-14T21:16:36.3975003Z 2025-08-14T21:16:36.3975273Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule 2025-08-14T21:16:36.3975655Z 2025-08-14T21:16:36.3976198Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class 2025-08-14T21:16:36.3976971Z Make sure that these are all unique types of detectors [do not have more than 1 of the same class] 2025-08-14T21:16:36.3977378Z 2025-08-14T21:16:36.3977653Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors. 2025-08-14T21:16:36.3978261Z This set is generated by calling the get_detector_name() of each detector 2025-08-14T21:16:36.3978738Z 2025-08-14T21:16:36.3979069Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest 2025-08-14T21:16:36.3979808Z The purpose of this is to keep track of what observers were inserted for each detector, so that they 2025-08-14T21:16:36.3980323Z can be removed at the end if desired 2025-08-14T21:16:36.3980546Z 2025-08-14T21:16:36.3980850Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not 2025-08-14T21:16:36.3981500Z This is to ensure we only insert observers once with the ModelReport instance 2025-08-14T21:16:36.3981834Z 2025-08-14T21:16:36.3982089Z * :attr:`_removed_observers` A boolean to track if we have removed observers already 2025-08-14T21:16:36.3982718Z The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport 2025-08-14T21:16:36.3983421Z instance. This also allows the functionality where we can generate the report multiple times 2025-08-14T21:16:36.3983988Z as long as we haven't removed the observers yet. 2025-08-14T21:16:36.3984232Z 2025-08-14T21:16:36.3984314Z Note: 2025-08-14T21:16:36.3984718Z This class was initially designed to work with the Fx Graph Mode workflow in mind. However, 2025-08-14T21:16:36.3985422Z full functionality is available as long as there is a traceable GraphModule that is being used. 2025-08-14T21:16:36.3986198Z One method to get a traceable GraphModule without going through the Fx workflow is to use 2025-08-14T21:16:36.3986694Z the QuantizationTracer class. 2025-08-14T21:16:36.3986904Z 2025-08-14T21:16:36.3987005Z General Flow for Fx workflow: 2025-08-14T21:16:36.3987562Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model 2025-08-14T21:16:36.3988152Z 2.) Prepare your model with prepare_fx 2025-08-14T21:16:36.3988606Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers 2025-08-14T21:16:36.3989068Z 4.) Calibrate your model with data 2025-08-14T21:16:36.3989612Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers 2025-08-14T21:16:36.3990143Z Optional 2025-08-14T21:16:36.3990531Z 6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance 2025-08-14T21:16:36.3991154Z 7.) To help in parsing report information and debugging, view report info as a: 2025-08-14T21:16:36.3991585Z - Table 2025-08-14T21:16:36.4007545Z - Histogram 2025-08-14T21:16:36.4007901Z - Line plot 2025-08-14T21:16:36.4008345Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions 2025-08-14T21:16:36.4008763Z 2025-08-14T21:16:36.4008878Z Example (with QuantizationTracer): 2025-08-14T21:16:36.4009166Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.4009427Z >>> # get the necessary qconfig 2025-08-14T21:16:36.4009720Z >>> config = PrepareCustomConfig() 2025-08-14T21:16:36.4010077Z >>> skipped_module_names, skipped_module_classes = ( 2025-08-14T21:16:36.4010467Z ... get_skipped_module_name_and_classes(config, False) 2025-08-14T21:16:36.4010789Z ... ) 2025-08-14T21:16:36.4010904Z 2025-08-14T21:16:36.4011029Z >>> # initialize our model and get GraphModule 2025-08-14T21:16:36.4011372Z >>> model = SomeModel() 2025-08-14T21:16:36.4011778Z >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes) 2025-08-14T21:16:36.4012306Z >>> graph_module = GraphModule(model, tracer.trace(model)) 2025-08-14T21:16:36.4012592Z 2025-08-14T21:16:36.4012743Z >>> # get our set of detectors and ModelReport instance 2025-08-14T21:16:36.4013101Z >>> detector_set = set( 2025-08-14T21:16:36.4013345Z ... [ 2025-08-14T21:16:36.4013609Z ... DynamicStaticDetector(tolerance=0.5), 2025-08-14T21:16:36.4014045Z ... InputWeightEqualizationDetector(ratio_threshold=0.7), 2025-08-14T21:16:36.4014503Z ... ] 2025-08-14T21:16:36.4014712Z ... ) 2025-08-14T21:16:36.4015035Z >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set) 2025-08-14T21:16:36.4015346Z 2025-08-14T21:16:36.4015497Z >>> # now we insert the observers and calibrate the model 2025-08-14T21:16:36.4016006Z >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration() 2025-08-14T21:16:36.4016499Z >>> for i in range(num_callibration_batches): 2025-08-14T21:16:36.4016867Z >>> example_input = get_callibration_input() 2025-08-14T21:16:36.4017232Z >>> tracer_model_with_observers(example_input) 2025-08-14T21:16:36.4017482Z 2025-08-14T21:16:36.4017731Z >>> # finally we generate the reports and optionally remove the observers we inserted 2025-08-14T21:16:36.4018251Z >>> reports = tracer_reporter.generate_model_report( 2025-08-14T21:16:36.4018614Z ... remove_inserted_observers=True 2025-08-14T21:16:36.4018915Z ... ) 2025-08-14T21:16:36.4019044Z 2025-08-14T21:16:36.4019260Z >>> # Optional: we can generate the qconfig mapping based on the suggestions 2025-08-14T21:16:36.4019750Z >>> qconfigs = model_report.generate_qconfig_mapping() 2025-08-14T21:16:36.4020006Z 2025-08-14T21:16:36.4020237Z >>> # Optional: we can generate the equalization mapping based on the suggestions 2025-08-14T21:16:36.4020764Z >>> qconfigs = model_report.generate_equalization_mapping() 2025-08-14T21:16:36.4021043Z 2025-08-14T21:16:36.4021331Z >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired 2025-08-14T21:16:36.4021925Z >>> model_report_visualizer = tracer_reporter.generate_visualizer() 2025-08-14T21:16:36.4022238Z 2025-08-14T21:16:36.4022242Z 2025-08-14T21:16:36.4022486Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.4022849Z 2025-08-14T21:16:36.4034919Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2025-08-14T21:16:36.4036237Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.4036881Z 2025-08-14T21:16:36.4037329Z Takes in optional filter values and generates two tables with desired information. 2025-08-14T21:16:36.4037696Z 2025-08-14T21:16:36.4037911Z The generated tables are presented in both a list-of-lists format 2025-08-14T21:16:36.4038241Z 2025-08-14T21:16:36.4038562Z The reason for the two tables are that they handle different things: 2025-08-14T21:16:36.4039026Z 1.) the first table handles all tensor level information 2025-08-14T21:16:36.4039501Z 2.) the second table handles and displays all channel based information 2025-08-14T21:16:36.4039898Z 2025-08-14T21:16:36.4040221Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-14T21:16:36.4041377Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-14T21:16:36.4042168Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-14T21:16:36.4042640Z 2025-08-14T21:16:36.4042778Z Tensor table columns: 2025-08-14T21:16:36.4043124Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:36.4043681Z ---- --------- --------- --------- --------- --------- 2025-08-14T21:16:36.4044208Z 2025-08-14T21:16:36.4044367Z Per-Channel table columns: 2025-08-14T21:16:36.4044767Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:36.4045262Z ---- --------- ------- --------- --------- --------- --------- 2025-08-14T21:16:36.4045535Z 2025-08-14T21:16:36.4045615Z Args: 2025-08-14T21:16:36.4045991Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-14T21:16:36.4046475Z contain this filter substring 2025-08-14T21:16:36.4046958Z Default = "", results in all the features being printed 2025-08-14T21:16:36.4047481Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:36.4048088Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:36.4048438Z 2025-08-14T21:16:36.4048564Z Returns a dictionary with two keys: 2025-08-14T21:16:36.4048929Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2025-08-14T21:16:36.4049337Z "tensor_level_info", "channel_level_info" 2025-08-14T21:16:36.4049677Z Each key maps to a tuple with: 2025-08-14T21:16:36.4049987Z A list of the headers of each table 2025-08-14T21:16:36.4050387Z A list of lists containing the table information row by row 2025-08-14T21:16:36.4050847Z The 0th index row will contain the headers of the columns 2025-08-14T21:16:36.4051248Z The rest of the rows will contain data 2025-08-14T21:16:36.4051479Z 2025-08-14T21:16:36.4051565Z Example Use: 2025-08-14T21:16:36.4051822Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:36.4052198Z >>> mod_report_visualizer.generate_filtered_tables( 2025-08-14T21:16:36.4052626Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:36.4053187Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2025-08-14T21:16:36.4053558Z 2025-08-14T21:16:36.4053815Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.4054165Z 2025-08-14T21:16:36.4055040Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399. 2025-08-14T21:16:36.4056237Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.4056614Z 2025-08-14T21:16:36.4056877Z Takes in optional filter values and prints out formatted tables of the information. 2025-08-14T21:16:36.4057261Z 2025-08-14T21:16:36.4057585Z The reason for the two tables printed out instead of one large one are that they handle different things: 2025-08-14T21:16:36.4058194Z 1.) the first table handles all tensor level information 2025-08-14T21:16:36.4058658Z 2.) the second table handles and displays all channel based information 2025-08-14T21:16:36.4058986Z 2025-08-14T21:16:36.4059354Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-14T21:16:36.4060096Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-14T21:16:36.4060868Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-14T21:16:36.4061316Z 2025-08-14T21:16:36.4061411Z Tensor table columns: 2025-08-14T21:16:36.4061761Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:36.4062217Z ---- --------- --------- --------- --------- --------- 2025-08-14T21:16:36.4062477Z 2025-08-14T21:16:36.4062595Z Per-Channel table columns: 2025-08-14T21:16:36.4062769Z 2025-08-14T21:16:36.4062978Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:36.4063467Z ---- --------- ------- --------- --------- --------- --------- 2025-08-14T21:16:36.4063737Z 2025-08-14T21:16:36.4063830Z Args: 2025-08-14T21:16:36.4064194Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-14T21:16:36.4064673Z contain this filter substring 2025-08-14T21:16:36.4065042Z Default = "", results in all the features being printed 2025-08-14T21:16:36.4065566Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:36.4066252Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:36.4066695Z 2025-08-14T21:16:36.4066782Z Example Use: 2025-08-14T21:16:36.4067037Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:36.4067420Z >>> mod_report_visualizer.generate_table_visualization( 2025-08-14T21:16:36.4067885Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:36.4068273Z ... ) 2025-08-14T21:16:36.4068578Z >>> # prints out neatly formatted table with per_channel_min info 2025-08-14T21:16:36.4068980Z >>> # for all modules in block 1 of the model 2025-08-14T21:16:36.4069222Z 2025-08-14T21:16:36.4069465Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.4069813Z 2025-08-14T21:16:36.4070714Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564. 2025-08-14T21:16:36.4071937Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.4072295Z 2025-08-14T21:16:36.4072536Z Takes in a feature and optional module_filter and plots of the desired data. 2025-08-14T21:16:36.4072871Z 2025-08-14T21:16:36.4073128Z For per channel features, it averages the value across the channels and plots a point 2025-08-14T21:16:36.4073755Z per module. The reason for this is that for models with hundreds of channels, it can 2025-08-14T21:16:36.4074388Z be hard to differentiate one channel line from another, and so the point of generating 2025-08-14T21:16:36.4075024Z a single average point per module is to give a sense of general trends that encourage 2025-08-14T21:16:36.4075480Z further deep dives. 2025-08-14T21:16:36.4075632Z 2025-08-14T21:16:36.4075710Z Note: 2025-08-14T21:16:36.4076283Z Only features in the report that have tensor value data are plottable by this class 2025-08-14T21:16:36.4076801Z When the tensor information is plotted, it will plot: 2025-08-14T21:16:36.4077206Z idx as the x val, feature value as the y_val 2025-08-14T21:16:36.4077607Z When the channel information is plotted, it will plot: 2025-08-14T21:16:36.4078118Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2025-08-14T21:16:36.4078711Z The reason for this is that we want to be able to compare values across the 2025-08-14T21:16:36.4079274Z channels for same layer, and it will be hard if values are staggered by idx 2025-08-14T21:16:36.4079898Z This means each module is represented by only 1 x value 2025-08-14T21:16:36.4080246Z Args: 2025-08-14T21:16:36.4080585Z feature_filter (str): Filters the features presented to only those that 2025-08-14T21:16:36.4081031Z contain this filter substring 2025-08-14T21:16:36.4081477Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:36.4082088Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:36.4082453Z 2025-08-14T21:16:36.4082540Z Example Use: 2025-08-14T21:16:36.4082801Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:36.4083178Z >>> mod_report_visualizer.generate_plot_visualization( 2025-08-14T21:16:36.4083628Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:36.4084012Z ... ) 2025-08-14T21:16:36.4084291Z >>> # outputs line plot of per_channel_min information for all 2025-08-14T21:16:36.4084758Z >>> # modules in block1 of model each channel gets it's own line, 2025-08-14T21:16:36.4085218Z >>> # and it's plotted across the in-order modules on the x-axis 2025-08-14T21:16:36.4085493Z 2025-08-14T21:16:36.4085732Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.4086090Z 2025-08-14T21:16:36.4089836Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643. 2025-08-14T21:16:36.4091145Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.4091505Z 2025-08-14T21:16:36.4091783Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2025-08-14T21:16:36.4092161Z 2025-08-14T21:16:36.4092255Z Note: 2025-08-14T21:16:36.4092616Z Only features in the report that have tensor value data can be viewed as a histogram 2025-08-14T21:16:36.4093244Z If you want to plot a histogram from all the channel values of a specific feature for 2025-08-14T21:16:36.4093846Z a specific model, make sure to specify both the model and the feature properly 2025-08-14T21:16:36.4094419Z in the filters and you should be able to see a distribution of the channel data 2025-08-14T21:16:36.4094801Z 2025-08-14T21:16:36.4094894Z Args: 2025-08-14T21:16:36.4095245Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-14T21:16:36.4095720Z contain this filter substring 2025-08-14T21:16:36.4096084Z Default = "", results in all the features being printed 2025-08-14T21:16:36.4096589Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:36.4097197Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:36.4097765Z num_bins (int, optional): The number of bins to create the histogram with 2025-08-14T21:16:36.4098281Z Default = 10, the values will be split into 10 equal sized bins 2025-08-14T21:16:36.4098572Z 2025-08-14T21:16:36.4098658Z Example Use: 2025-08-14T21:16:36.4098884Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.4099335Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2025-08-14T21:16:36.4099915Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:36.4100299Z ... ) 2025-08-14T21:16:36.4100679Z # outputs histogram of per_channel_min information for all modules in block1 of model 2025-08-14T21:16:36.4101300Z information is gathered across all channels for all modules in block 1 for the 2025-08-14T21:16:36.4101862Z per_channel_min and is displayed in a histogram of equally sized bins 2025-08-14T21:16:36.4102194Z 2025-08-14T21:16:36.4102435Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.4102786Z 2025-08-14T21:16:36.5319160Z msg = Cannot scrape callname=record_function in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py line=734. 2025-08-14T21:16:36.5320059Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.5320777Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler. 2025-08-14T21:16:36.5321435Z Label will only appear if CPU activity tracing is enabled. 2025-08-14T21:16:36.5321718Z 2025-08-14T21:16:36.5321857Z It is useful when tracing the code profile. 2025-08-14T21:16:36.5322085Z 2025-08-14T21:16:36.5322179Z Args: 2025-08-14T21:16:36.5322449Z name (str): Label assigned to the block of code. 2025-08-14T21:16:36.5322875Z node_id (int): ID of node, for distributed profiling. Unset in 2025-08-14T21:16:36.5323271Z non-distributed cases. 2025-08-14T21:16:36.5323449Z 2025-08-14T21:16:36.5323547Z Example: 2025-08-14T21:16:36.5323845Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER) 2025-08-14T21:16:36.5324262Z >>> x = torch.randn((1, 1), requires_grad=True) 2025-08-14T21:16:36.5324655Z >>> with torch.autograd.profiler.profile() as prof: 2025-08-14T21:16:36.5325001Z ... y = x**2 2025-08-14T21:16:36.5325317Z ... with torch.autograd.profiler.record_function( 2025-08-14T21:16:36.5325800Z ... "label-z" 2025-08-14T21:16:36.5326066Z ... ): # label the block 2025-08-14T21:16:36.5326411Z ... z = y**3 2025-08-14T21:16:36.5326677Z ... y.backward() 2025-08-14T21:16:36.5326938Z >>> # xdoctest: +IGNORE_WANT 2025-08-14T21:16:36.5327268Z >>> # NOTE: some columns were removed for brevity 2025-08-14T21:16:36.5327703Z >>> print(prof.key_averages().table(sort_by="self_cpu_time_total")) 2025-08-14T21:16:36.5328210Z ----------------------------------- --------------- --------------- --------------- 2025-08-14T21:16:36.5328683Z Name Self CPU total % CPU time avg Number of Calls 2025-08-14T21:16:36.5329162Z ----------------------------------- --------------- --------------- --------------- 2025-08-14T21:16:36.5329599Z pow 60.77% 47.470us 3 2025-08-14T21:16:36.5329980Z mul 21.73% 25.465us 2 2025-08-14T21:16:36.5330399Z PowBackward0 12.03% 121.891us 1 2025-08-14T21:16:36.5330914Z torch::autograd::AccumulateGrad 2.70% 6.324us 1 2025-08-14T21:16:36.5331373Z label-z 2.13% 12.421us 1 2025-08-14T21:16:36.5331833Z torch::autograd::GraphRoot 0.64% 1.503us 1 2025-08-14T21:16:36.5332335Z ----------------------------------- --------------- --------------- --------------- 2025-08-14T21:16:36.5332747Z Self CPU time total: 234.344us 2025-08-14T21:16:36.5333060Z CUDA time total: 0.000us 2025-08-14T21:16:36.5333255Z 2025-08-14T21:16:36.5333334Z 2025-08-14T21:16:36.5333695Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.5334051Z 2025-08-14T21:16:36.6675186Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=722. 2025-08-14T21:16:36.6676366Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:36.6676715Z 2025-08-14T21:16:36.6676975Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-14T21:16:36.6677609Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-14T21:16:36.6678093Z ``mesh_dim_names`` 2025-08-14T21:16:36.6678235Z 2025-08-14T21:16:36.6678333Z Args: 2025-08-14T21:16:36.6678859Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-14T21:16:36.6679387Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-14T21:16:36.6679763Z Returns: 2025-08-14T21:16:36.6679988Z A :class:`DeviceMesh` object 2025-08-14T21:16:36.6680174Z 2025-08-14T21:16:36.6680442Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-14T21:16:36.6680934Z In the first example: 2025-08-14T21:16:36.6681334Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-14T21:16:36.6681914Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-14T21:16:36.6682485Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-14T21:16:36.6683029Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-14T21:16:36.6683571Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-14T21:16:36.6684104Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-14T21:16:36.6684442Z 2025-08-14T21:16:36.6684537Z In the second example: 2025-08-14T21:16:36.6684952Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-14T21:16:36.6685647Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-14T21:16:36.6686322Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-14T21:16:36.6686940Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-14T21:16:36.6687299Z 2025-08-14T21:16:36.6687414Z Example:: 2025-08-14T21:16:36.6687531Z 2025-08-14T21:16:36.6687633Z >>> # xdoctest: +SKIP("no rank") 2025-08-14T21:16:36.6688005Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-14T21:16:36.6688364Z >>> 2025-08-14T21:16:36.6688677Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-14T21:16:36.6689113Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-14T21:16:36.6689594Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-14T21:16:36.6690056Z >>> tp_mesh = mesh_2d["tp"] 2025-08-14T21:16:36.6690323Z >>> dp_mesh = mesh_2d["dp"] 2025-08-14T21:16:36.6690585Z >>> 2025-08-14T21:16:36.6690798Z >>> # Initialize a 3D mesh. 2025-08-14T21:16:36.6691236Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-14T21:16:36.6691909Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-14T21:16:36.6692421Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-14T21:16:36.6692741Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-14T21:16:36.6692944Z 2025-08-14T21:16:36.6693586Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-08-14T21:16:36.6694339Z 2025-08-14T21:16:36.6694572Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-14T21:16:36.6695048Z ^ 2025-08-14T21:16:36.7024506Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2706. 2025-08-14T21:16:36.7025447Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7025885Z 2025-08-14T21:16:36.7026127Z Send or Receive a batch of tensors asynchronously and return a list of requests. 2025-08-14T21:16:36.7026488Z 2025-08-14T21:16:36.7026722Z Process each of the operations in ``p2p_op_list`` and return the corresponding 2025-08-14T21:16:36.7027442Z requests. NCCL, Gloo, and UCC backend are currently supported. 2025-08-14T21:16:36.7027741Z 2025-08-14T21:16:36.7027820Z Args: 2025-08-14T21:16:36.7028177Z p2p_op_list: A list of point-to-point operations(type of each operator is 2025-08-14T21:16:36.7028733Z ``torch.distributed.P2POp``). The order of the isend/irecv in the list 2025-08-14T21:16:36.7029273Z matters and it needs to match with corresponding isend/irecv on the 2025-08-14T21:16:36.7029668Z remote end. 2025-08-14T21:16:36.7029817Z 2025-08-14T21:16:36.7029899Z Returns: 2025-08-14T21:16:36.7030253Z A list of distributed request objects returned by calling the corresponding 2025-08-14T21:16:36.7030765Z op in the op_list. 2025-08-14T21:16:36.7030917Z 2025-08-14T21:16:36.7031001Z Examples: 2025-08-14T21:16:36.7031226Z >>> # xdoctest: +SKIP("no rank") 2025-08-14T21:16:36.7031744Z >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank 2025-08-14T21:16:36.7032566Z >>> recv_tensor = torch.randn(2, dtype=torch.float32) 2025-08-14T21:16:36.7033039Z >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size) 2025-08-14T21:16:36.7033458Z >>> recv_op = dist.P2POp( 2025-08-14T21:16:36.7033816Z ... dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size 2025-08-14T21:16:36.7034194Z ... ) 2025-08-14T21:16:36.7034532Z >>> reqs = batch_isend_irecv([send_op, recv_op]) 2025-08-14T21:16:36.7034864Z >>> for req in reqs: 2025-08-14T21:16:36.7035161Z >>> req.wait() 2025-08-14T21:16:36.7035398Z >>> recv_tensor 2025-08-14T21:16:36.7035634Z tensor([2, 3]) # Rank 0 2025-08-14T21:16:36.7035897Z tensor([0, 1]) # Rank 1 2025-08-14T21:16:36.7036080Z 2025-08-14T21:16:36.7036332Z .. note:: Note that when this API is used with the NCCL PG backend, users must set 2025-08-14T21:16:36.7036894Z the current GPU device with `torch.cuda.set_device`, otherwise it will 2025-08-14T21:16:36.7037314Z lead to unexpected hang issues. 2025-08-14T21:16:36.7037523Z 2025-08-14T21:16:36.7037730Z In addition, if this API is the first collective call in the ``group`` 2025-08-14T21:16:36.7038255Z passed to ``dist.P2POp``, all ranks of the ``group`` must participate in 2025-08-14T21:16:36.7038799Z this API call; otherwise, the behavior is undefined. If this API call is 2025-08-14T21:16:36.7039332Z not the first collective call in the ``group``, batched P2P operations 2025-08-14T21:16:36.7039849Z involving only a subset of ranks of the ``group`` are allowed. 2025-08-14T21:16:36.7040143Z 2025-08-14T21:16:36.7040394Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7040743Z 2025-08-14T21:16:36.7041319Z msg = Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2838. 2025-08-14T21:16:36.7042206Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7042581Z 2025-08-14T21:16:36.7042839Z Reduces the tensor data across all machines in a way that all get the final result. 2025-08-14T21:16:36.7043218Z 2025-08-14T21:16:36.7043435Z After the call ``tensor`` is going to be bitwise identical in all processes. 2025-08-14T21:16:36.7043763Z 2025-08-14T21:16:36.7043884Z Complex tensors are supported. 2025-08-14T21:16:36.7044073Z 2025-08-14T21:16:36.7044153Z Args: 2025-08-14T21:16:36.7044472Z tensor (Tensor): Input and output of the collective. The function 2025-08-14T21:16:36.7044887Z operates in-place. 2025-08-14T21:16:36.7045178Z op (optional): One of the values from 2025-08-14T21:16:36.7045502Z ``torch.distributed.ReduceOp`` 2025-08-14T21:16:36.7045917Z enum. Specifies an operation used for element-wise reductions. 2025-08-14T21:16:36.7046452Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:36.7046899Z the default process group will be used. 2025-08-14T21:16:36.7047499Z async_op (bool, optional): Whether this op should be an async op 2025-08-14T21:16:36.7047795Z 2025-08-14T21:16:36.7047894Z Returns: 2025-08-14T21:16:36.7048136Z Async work handle, if async_op is set to True. 2025-08-14T21:16:36.7048528Z None, if not async_op or if not part of the group 2025-08-14T21:16:36.7048922Z 2025-08-14T21:16:36.7049059Z Examples: 2025-08-14T21:16:36.7049438Z >>> # xdoctest: +SKIP("no rank") 2025-08-14T21:16:36.7050023Z >>> # All tensors below are of torch.int64 type. 2025-08-14T21:16:36.7050383Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:36.7050715Z >>> device = torch.device(f"cuda:{rank}") 2025-08-14T21:16:36.7051143Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-14T21:16:36.7051562Z >>> tensor 2025-08-14T21:16:36.7051808Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-14T21:16:36.7052118Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-14T21:16:36.7052457Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-14T21:16:36.7052778Z >>> tensor 2025-08-14T21:16:36.7053013Z tensor([4, 6], device='cuda:0') # Rank 0 2025-08-14T21:16:36.7053318Z tensor([4, 6], device='cuda:1') # Rank 1 2025-08-14T21:16:36.7053536Z 2025-08-14T21:16:36.7053667Z >>> # All tensors below are of torch.cfloat type. 2025-08-14T21:16:36.7054017Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:36.7054370Z >>> tensor = torch.tensor( 2025-08-14T21:16:36.7054731Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-14T21:16:36.7055083Z ... ) + 2 * rank * (1 + 1j) 2025-08-14T21:16:36.7055331Z >>> tensor 2025-08-14T21:16:36.7055595Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-14T21:16:36.7055971Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-14T21:16:36.7056345Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-14T21:16:36.7056653Z >>> tensor 2025-08-14T21:16:36.7056917Z tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0 2025-08-14T21:16:36.7057293Z tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1 2025-08-14T21:16:36.7057529Z 2025-08-14T21:16:36.7057532Z 2025-08-14T21:16:36.7057774Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7058132Z 2025-08-14T21:16:36.7058715Z msg = Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3198. 2025-08-14T21:16:36.7059640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7060010Z 2025-08-14T21:16:36.7060223Z Gathers picklable objects from the whole group in a single process. 2025-08-14T21:16:36.7060541Z 2025-08-14T21:16:36.7060781Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2025-08-14T21:16:36.7061252Z object must be picklable in order to be gathered. 2025-08-14T21:16:36.7061512Z 2025-08-14T21:16:36.7061593Z Args: 2025-08-14T21:16:36.7061841Z obj (Any): Input object. Must be picklable. 2025-08-14T21:16:36.7062277Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2025-08-14T21:16:36.7062761Z should be correctly sized as the size of the group for this 2025-08-14T21:16:36.7063258Z collective and will contain the output. Must be ``None`` on non-dst 2025-08-14T21:16:36.7063684Z ranks. (default is ``None``) 2025-08-14T21:16:36.7064177Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2025-08-14T21:16:36.7064783Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2025-08-14T21:16:36.7065306Z group: (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:36.7065933Z the default process group will be used. Default is ``None``. 2025-08-14T21:16:36.7066543Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2025-08-14T21:16:36.7066995Z 2025-08-14T21:16:36.7067165Z Returns: 2025-08-14T21:16:36.7067468Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2025-08-14T21:16:36.7067848Z output of the collective. 2025-08-14T21:16:36.7068043Z 2025-08-14T21:16:36.7068251Z .. note:: Note that this API differs slightly from the gather collective 2025-08-14T21:16:36.7068778Z since it does not provide an async_op handle and thus will be a blocking 2025-08-14T21:16:36.7069186Z call. 2025-08-14T21:16:36.7069301Z 2025-08-14T21:16:36.7069523Z .. note:: For NCCL-based processed groups, internal tensor representations 2025-08-14T21:16:36.7070057Z of objects must be moved to the GPU device before communication takes 2025-08-14T21:16:36.7070512Z place. In this case, the device used is given by 2025-08-14T21:16:36.7070954Z ``torch.cuda.current_device()`` and it is the user's responsibility to 2025-08-14T21:16:36.7071478Z ensure that this is set so that each rank has an individual GPU, via 2025-08-14T21:16:36.7071890Z ``torch.cuda.set_device()``. 2025-08-14T21:16:36.7072080Z 2025-08-14T21:16:36.7072180Z .. warning:: 2025-08-14T21:16:36.7072525Z Object collectives have a number of serious performance and scalability 2025-08-14T21:16:36.7073031Z limitations. See :ref:`object_collectives` for details. 2025-08-14T21:16:36.7073305Z 2025-08-14T21:16:36.7073443Z .. warning:: 2025-08-14T21:16:36.7073751Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2025-08-14T21:16:36.7074290Z known to be insecure. It is possible to construct malicious pickle data 2025-08-14T21:16:36.7074821Z which will execute arbitrary code during unpickling. Only call this 2025-08-14T21:16:36.7075249Z function with data you trust. 2025-08-14T21:16:36.7075438Z 2025-08-14T21:16:36.7075522Z .. warning:: 2025-08-14T21:16:36.7075853Z Calling :func:`gather_object` with GPU tensors is not well supported 2025-08-14T21:16:36.7076581Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2025-08-14T21:16:36.7077075Z pickled. Please consider using :func:`gather` instead. 2025-08-14T21:16:36.7077354Z 2025-08-14T21:16:36.7077443Z Example:: 2025-08-14T21:16:36.7077704Z >>> # xdoctest: +SKIP("need process group init") 2025-08-14T21:16:36.7078118Z >>> # Note: Process group initialization omitted on each rank. 2025-08-14T21:16:36.7078509Z >>> import torch.distributed as dist 2025-08-14T21:16:36.7078830Z >>> # Assumes world_size of 3. 2025-08-14T21:16:36.7079197Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2025-08-14T21:16:36.7079585Z >>> output = [None for _ in gather_objects] 2025-08-14T21:16:36.7079910Z >>> dist.gather_object( 2025-08-14T21:16:36.7080198Z ... gather_objects[dist.get_rank()], 2025-08-14T21:16:36.7080530Z ... output if dist.get_rank() == 0 else None, 2025-08-14T21:16:36.7080849Z ... dst=0 2025-08-14T21:16:36.7081067Z ... ) 2025-08-14T21:16:36.7081269Z >>> # On rank 0 2025-08-14T21:16:36.7081495Z >>> output 2025-08-14T21:16:36.7081716Z ['foo', 12, {1: 2}] 2025-08-14T21:16:36.7081866Z 2025-08-14T21:16:36.7082119Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7082473Z 2025-08-14T21:16:36.7090197Z msg = Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3794. 2025-08-14T21:16:36.7091118Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7091496Z 2025-08-14T21:16:36.7091632Z Gathers tensors from the whole group in a list. 2025-08-14T21:16:36.7091891Z 2025-08-14T21:16:36.7092046Z Complex and uneven sized tensors are supported. 2025-08-14T21:16:36.7092288Z 2025-08-14T21:16:36.7092385Z Args: 2025-08-14T21:16:36.7092662Z tensor_list (list[Tensor]): Output list. It should contain 2025-08-14T21:16:36.7093159Z correctly-sized tensors to be used for output of the collective. 2025-08-14T21:16:36.7093734Z Uneven sized tensors are supported. 2025-08-14T21:16:36.7094133Z tensor (Tensor): Tensor to be broadcast from current process. 2025-08-14T21:16:36.7094653Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:36.7095118Z the default process group will be used. 2025-08-14T21:16:36.7095530Z async_op (bool, optional): Whether this op should be an async op 2025-08-14T21:16:36.7095838Z 2025-08-14T21:16:36.7095926Z Returns: 2025-08-14T21:16:36.7096177Z Async work handle, if async_op is set to True. 2025-08-14T21:16:36.7096561Z None, if not async_op or if not part of the group 2025-08-14T21:16:36.7096805Z 2025-08-14T21:16:36.7096889Z Examples: 2025-08-14T21:16:36.7097147Z >>> # xdoctest: +SKIP("need process group init") 2025-08-14T21:16:36.7097519Z >>> # All tensors below are of torch.int64 dtype. 2025-08-14T21:16:36.7097853Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:36.7098180Z >>> device = torch.device(f"cuda:{rank}") 2025-08-14T21:16:36.7098494Z >>> tensor_list = [ 2025-08-14T21:16:36.7098840Z ... torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2) 2025-08-14T21:16:36.7099237Z ... ] 2025-08-14T21:16:36.7099444Z >>> tensor_list 2025-08-14T21:16:36.7099782Z [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0 2025-08-14T21:16:36.7100322Z [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1 2025-08-14T21:16:36.7100891Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-14T21:16:36.7101307Z >>> tensor 2025-08-14T21:16:36.7101534Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-14T21:16:36.7101862Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-14T21:16:36.7102192Z >>> dist.all_gather(tensor_list, tensor) 2025-08-14T21:16:36.7102489Z >>> tensor_list 2025-08-14T21:16:36.7102825Z [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0 2025-08-14T21:16:36.7103325Z [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1 2025-08-14T21:16:36.7103625Z 2025-08-14T21:16:36.7103773Z >>> # All tensors below are of torch.cfloat dtype. 2025-08-14T21:16:36.7104120Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:36.7104424Z >>> tensor_list = [ 2025-08-14T21:16:36.7104787Z ... torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2) 2025-08-14T21:16:36.7105178Z ... ] 2025-08-14T21:16:36.7105387Z >>> tensor_list 2025-08-14T21:16:36.7105853Z [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0 2025-08-14T21:16:36.7106445Z [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1 2025-08-14T21:16:36.7106888Z >>> tensor = torch.tensor( 2025-08-14T21:16:36.7107222Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-14T21:16:36.7107575Z ... ) + 2 * rank * (1 + 1j) 2025-08-14T21:16:36.7107828Z >>> tensor 2025-08-14T21:16:36.7108099Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-14T21:16:36.7108476Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-14T21:16:36.7108824Z >>> dist.all_gather(tensor_list, tensor) 2025-08-14T21:16:36.7109131Z >>> tensor_list 2025-08-14T21:16:36.7109506Z [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0 2025-08-14T21:16:36.7110090Z [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1 2025-08-14T21:16:36.7110433Z 2025-08-14T21:16:36.7110437Z 2025-08-14T21:16:36.7110678Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7111044Z 2025-08-14T21:16:36.7148158Z msg = Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4500. 2025-08-14T21:16:36.7149442Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7149806Z 2025-08-14T21:16:36.7150059Z Split input tensor and then scatter the split list to all processes in a group. 2025-08-14T21:16:36.7150408Z 2025-08-14T21:16:36.7150654Z Later the received tensors are concatenated from all the processes in the group 2025-08-14T21:16:36.7151134Z and returned as a single output tensor. 2025-08-14T21:16:36.7151361Z 2025-08-14T21:16:36.7151468Z Complex tensors are supported. 2025-08-14T21:16:36.7151656Z 2025-08-14T21:16:36.7151746Z Args: 2025-08-14T21:16:36.7152041Z output (Tensor): Gathered concatenated output tensor. 2025-08-14T21:16:36.7152420Z input (Tensor): Input tensor to scatter. 2025-08-14T21:16:36.7152856Z output_split_sizes: (list[Int], optional): Output split sizes for dim 0 2025-08-14T21:16:36.7153383Z if specified None or empty, dim 0 of ``output`` tensor must divide 2025-08-14T21:16:36.7153781Z equally by ``world_size``. 2025-08-14T21:16:36.7154182Z input_split_sizes: (list[Int], optional): Input split sizes for dim 0 2025-08-14T21:16:36.7154689Z if specified None or empty, dim 0 of ``input`` tensor must divide 2025-08-14T21:16:36.7155097Z equally by ``world_size``. 2025-08-14T21:16:36.7155497Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:36.7156004Z the default process group will be used. 2025-08-14T21:16:36.7156423Z async_op (bool, optional): Whether this op should be an async op. 2025-08-14T21:16:36.7156783Z 2025-08-14T21:16:36.7156865Z Returns: 2025-08-14T21:16:36.7157115Z Async work handle, if async_op is set to True. 2025-08-14T21:16:36.7157499Z None, if not async_op or if not part of the group. 2025-08-14T21:16:36.7157745Z 2025-08-14T21:16:36.7157851Z .. warning:: 2025-08-14T21:16:36.7158134Z `all_to_all_single` is experimental and subject to change. 2025-08-14T21:16:36.7158421Z 2025-08-14T21:16:36.7158506Z Examples: 2025-08-14T21:16:36.7158750Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-14T21:16:36.7159073Z >>> input = torch.arange(4) + rank * 4 2025-08-14T21:16:36.7159418Z >>> input 2025-08-14T21:16:36.7159767Z tensor([0, 1, 2, 3]) # Rank 0 2025-08-14T21:16:36.7160227Z tensor([4, 5, 6, 7]) # Rank 1 2025-08-14T21:16:36.7160774Z tensor([8, 9, 10, 11]) # Rank 2 2025-08-14T21:16:36.7161085Z tensor([12, 13, 14, 15]) # Rank 3 2025-08-14T21:16:36.7161403Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-14T21:16:36.7161776Z >>> dist.all_to_all_single(output, input) 2025-08-14T21:16:36.7162087Z >>> output 2025-08-14T21:16:36.7162316Z tensor([0, 4, 8, 12]) # Rank 0 2025-08-14T21:16:36.7162598Z tensor([1, 5, 9, 13]) # Rank 1 2025-08-14T21:16:36.7162888Z tensor([2, 6, 10, 14]) # Rank 2 2025-08-14T21:16:36.7163181Z tensor([3, 7, 11, 15]) # Rank 3 2025-08-14T21:16:36.7163369Z 2025-08-14T21:16:36.7163526Z >>> # Essentially, it is similar to following operation: 2025-08-14T21:16:36.7163939Z >>> scatter_list = list(input.chunk(world_size)) 2025-08-14T21:16:36.7164319Z >>> gather_list = list(output.chunk(world_size)) 2025-08-14T21:16:36.7164653Z >>> for i in range(world_size): 2025-08-14T21:16:36.7165075Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i) 2025-08-14T21:16:36.7165424Z 2025-08-14T21:16:36.7165541Z >>> # Another example with uneven split 2025-08-14T21:16:36.7165849Z >>> input 2025-08-14T21:16:36.7166124Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-14T21:16:36.7166554Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-14T21:16:36.7166985Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-14T21:16:36.7167401Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-14T21:16:36.7167771Z >>> input_splits 2025-08-14T21:16:36.7168054Z [2, 2, 1, 1] # Rank 0 2025-08-14T21:16:36.7168493Z [3, 2, 2, 2] # Rank 1 2025-08-14T21:16:36.7168843Z [2, 1, 1, 1] # Rank 2 2025-08-14T21:16:36.7169201Z [2, 2, 2, 1] # Rank 3 2025-08-14T21:16:36.7169532Z >>> output_splits 2025-08-14T21:16:36.7169791Z [2, 3, 2, 2] # Rank 0 2025-08-14T21:16:36.7170158Z [2, 2, 1, 2] # Rank 1 2025-08-14T21:16:36.7170516Z [1, 2, 1, 2] # Rank 2 2025-08-14T21:16:36.7170871Z [1, 2, 1, 1] # Rank 3 2025-08-14T21:16:36.7171185Z >>> output = ... 2025-08-14T21:16:36.7171528Z >>> dist.all_to_all_single(output, input, output_splits, input_splits) 2025-08-14T21:16:36.7171921Z >>> output 2025-08-14T21:16:36.7172196Z tensor([ 0, 1, 10, 11, 12, 20, 21, 30, 31]) # Rank 0 2025-08-14T21:16:36.7172617Z tensor([ 2, 3, 13, 14, 22, 32, 33]) # Rank 1 2025-08-14T21:16:36.7173041Z tensor([ 4, 15, 16, 23, 34, 35]) # Rank 2 2025-08-14T21:16:36.7173447Z tensor([ 5, 17, 18, 24, 36]) # Rank 3 2025-08-14T21:16:36.7173759Z 2025-08-14T21:16:36.7173799Z 2025-08-14T21:16:36.7173955Z >>> # Another example with tensors of torch.cfloat type. 2025-08-14T21:16:36.7174322Z >>> input = torch.tensor( 2025-08-14T21:16:36.7174645Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-14T21:16:36.7174977Z ... ) + 4 * rank * (1 + 1j) 2025-08-14T21:16:36.7175242Z >>> input 2025-08-14T21:16:36.7175545Z tensor([1+1j, 2+2j, 3+3j, 4+4j]) # Rank 0 2025-08-14T21:16:36.7176167Z tensor([5+5j, 6+6j, 7+7j, 8+8j]) # Rank 1 2025-08-14T21:16:36.7176641Z tensor([9+9j, 10+10j, 11+11j, 12+12j]) # Rank 2 2025-08-14T21:16:36.7177112Z tensor([13+13j, 14+14j, 15+15j, 16+16j]) # Rank 3 2025-08-14T21:16:36.7177543Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-14T21:16:36.7177895Z >>> dist.all_to_all_single(output, input) 2025-08-14T21:16:36.7178204Z >>> output 2025-08-14T21:16:36.7178507Z tensor([1+1j, 5+5j, 9+9j, 13+13j]) # Rank 0 2025-08-14T21:16:36.7178957Z tensor([2+2j, 6+6j, 10+10j, 14+14j]) # Rank 1 2025-08-14T21:16:36.7179410Z tensor([3+3j, 7+7j, 11+11j, 15+15j]) # Rank 2 2025-08-14T21:16:36.7179865Z tensor([4+4j, 8+8j, 12+12j, 16+16j]) # Rank 3 2025-08-14T21:16:36.7180148Z 2025-08-14T21:16:36.7180398Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7180749Z 2025-08-14T21:16:36.7181332Z msg = Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4642. 2025-08-14T21:16:36.7182211Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7182582Z 2025-08-14T21:16:36.7182927Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. 2025-08-14T21:16:36.7183408Z 2025-08-14T21:16:36.7183516Z Complex tensors are supported. 2025-08-14T21:16:36.7183702Z 2025-08-14T21:16:36.7183798Z Args: 2025-08-14T21:16:36.7184111Z output_tensor_list (list[Tensor]): List of tensors to be gathered one 2025-08-14T21:16:36.7184521Z per rank. 2025-08-14T21:16:36.7184880Z input_tensor_list (list[Tensor]): List of tensors to scatter one per rank. 2025-08-14T21:16:36.7185423Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:36.7185950Z the default process group will be used. 2025-08-14T21:16:36.7186499Z async_op (bool, optional): Whether this op should be an async op. 2025-08-14T21:16:36.7186797Z 2025-08-14T21:16:36.7186896Z Returns: 2025-08-14T21:16:36.7187134Z Async work handle, if async_op is set to True. 2025-08-14T21:16:36.7187519Z None, if not async_op or if not part of the group. 2025-08-14T21:16:36.7187765Z 2025-08-14T21:16:36.7187869Z .. warning:: 2025-08-14T21:16:36.7188127Z `all_to_all` is experimental and subject to change. 2025-08-14T21:16:36.7188387Z 2025-08-14T21:16:36.7188469Z Examples: 2025-08-14T21:16:36.7188704Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-14T21:16:36.7189031Z >>> input = torch.arange(4) + rank * 4 2025-08-14T21:16:36.7189336Z >>> input = list(input.chunk(4)) 2025-08-14T21:16:36.7189624Z >>> input 2025-08-14T21:16:36.7189916Z [tensor([0]), tensor([1]), tensor([2]), tensor([3])] # Rank 0 2025-08-14T21:16:36.7190340Z [tensor([4]), tensor([5]), tensor([6]), tensor([7])] # Rank 1 2025-08-14T21:16:36.7190774Z [tensor([8]), tensor([9]), tensor([10]), tensor([11])] # Rank 2 2025-08-14T21:16:36.7191208Z [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3 2025-08-14T21:16:36.7191650Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-14T21:16:36.7192046Z >>> dist.all_to_all(output, input) 2025-08-14T21:16:36.7192387Z >>> output 2025-08-14T21:16:36.7192683Z [tensor([0]), tensor([4]), tensor([8]), tensor([12])] # Rank 0 2025-08-14T21:16:36.7193153Z [tensor([1]), tensor([5]), tensor([9]), tensor([13])] # Rank 1 2025-08-14T21:16:36.7193585Z [tensor([2]), tensor([6]), tensor([10]), tensor([14])] # Rank 2 2025-08-14T21:16:36.7194020Z [tensor([3]), tensor([7]), tensor([11]), tensor([15])] # Rank 3 2025-08-14T21:16:36.7194290Z 2025-08-14T21:16:36.7194446Z >>> # Essentially, it is similar to following operation: 2025-08-14T21:16:36.7194817Z >>> scatter_list = input 2025-08-14T21:16:36.7195099Z >>> gather_list = output 2025-08-14T21:16:36.7195385Z >>> for i in range(world_size): 2025-08-14T21:16:36.7195790Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i) 2025-08-14T21:16:36.7196133Z 2025-08-14T21:16:36.7196219Z >>> input 2025-08-14T21:16:36.7196499Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-14T21:16:36.7196915Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-14T21:16:36.7197342Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-14T21:16:36.7197767Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-14T21:16:36.7198131Z >>> input_splits 2025-08-14T21:16:36.7198394Z [2, 2, 1, 1] # Rank 0 2025-08-14T21:16:36.7198755Z [3, 2, 2, 2] # Rank 1 2025-08-14T21:16:36.7199115Z [2, 1, 1, 1] # Rank 2 2025-08-14T21:16:36.7199473Z [2, 2, 2, 1] # Rank 3 2025-08-14T21:16:36.7199804Z >>> output_splits 2025-08-14T21:16:36.7200082Z [2, 3, 2, 2] # Rank 0 2025-08-14T21:16:36.7200431Z [2, 2, 1, 2] # Rank 1 2025-08-14T21:16:36.7200795Z [1, 2, 1, 2] # Rank 2 2025-08-14T21:16:36.7201157Z [1, 2, 1, 1] # Rank 3 2025-08-14T21:16:36.7201523Z >>> input = list(input.split(input_splits)) 2025-08-14T21:16:36.7201829Z >>> input 2025-08-14T21:16:36.7202162Z [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])] # Rank 0 2025-08-14T21:16:36.7202676Z [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1 2025-08-14T21:16:36.7203230Z [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])] # Rank 2 2025-08-14T21:16:36.7203746Z [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])] # Rank 3 2025-08-14T21:16:36.7204153Z >>> output = ... 2025-08-14T21:16:36.7204422Z >>> dist.all_to_all(output, input) 2025-08-14T21:16:36.7204710Z >>> output 2025-08-14T21:16:36.7205044Z [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])] # Rank 0 2025-08-14T21:16:36.7205560Z [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])] # Rank 1 2025-08-14T21:16:36.7206058Z [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])] # Rank 2 2025-08-14T21:16:36.7206567Z [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])] # Rank 3 2025-08-14T21:16:36.7206894Z 2025-08-14T21:16:36.7207052Z >>> # Another example with tensors of torch.cfloat type. 2025-08-14T21:16:36.7207430Z >>> input = torch.tensor( 2025-08-14T21:16:36.7207745Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-14T21:16:36.7208170Z ... ) + 4 * rank * (1 + 1j) 2025-08-14T21:16:36.7208605Z >>> input = list(input.chunk(4)) 2025-08-14T21:16:36.7209033Z >>> input 2025-08-14T21:16:36.7209680Z [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])] # Rank 0 2025-08-14T21:16:36.7210279Z [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])] # Rank 1 2025-08-14T21:16:36.7211118Z [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])] # Rank 2 2025-08-14T21:16:36.7211789Z [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])] # Rank 3 2025-08-14T21:16:36.7212298Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-14T21:16:36.7212701Z >>> dist.all_to_all(output, input) 2025-08-14T21:16:36.7212989Z >>> output 2025-08-14T21:16:36.7213329Z [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])] # Rank 0 2025-08-14T21:16:36.7213862Z [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])] # Rank 1 2025-08-14T21:16:36.7214391Z [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])] # Rank 2 2025-08-14T21:16:36.7214905Z [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])] # Rank 3 2025-08-14T21:16:36.7215240Z 2025-08-14T21:16:36.7215244Z 2025-08-14T21:16:36.7215487Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7215839Z 2025-08-14T21:16:36.7216350Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2. 2025-08-14T21:16:36.7217167Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7217533Z 2025-08-14T21:16:36.7217647Z Module ``torch.distributed.launch``. 2025-08-14T21:16:36.7217853Z 2025-08-14T21:16:36.7218107Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2025-08-14T21:16:36.7218598Z training processes on each of the training nodes. 2025-08-14T21:16:36.7218856Z 2025-08-14T21:16:36.7218946Z .. warning:: 2025-08-14T21:16:36.7219068Z 2025-08-14T21:16:36.7219323Z This module is going to be deprecated in favor of :ref:`torchrun `. 2025-08-14T21:16:36.7219680Z 2025-08-14T21:16:36.7219917Z The utility can be used for single-node distributed training, in which one or 2025-08-14T21:16:36.7220475Z more processes per node will be spawned. The utility can be used for either 2025-08-14T21:16:36.7221024Z CPU training or GPU training. If the utility is used for GPU training, 2025-08-14T21:16:36.7221577Z each distributed process will be operating on a single GPU. This can achieve 2025-08-14T21:16:36.7222141Z well-improved single-node training performance. It can also be used in 2025-08-14T21:16:36.7222738Z multi-node distributed training, by spawning up multiple processes on each node 2025-08-14T21:16:36.7223393Z for well-improved multi-node distributed training performance as well. 2025-08-14T21:16:36.7223951Z This will especially be beneficial for systems with multiple Infiniband 2025-08-14T21:16:36.7224518Z interfaces that have direct-GPU support, since all of them can be utilized for 2025-08-14T21:16:36.7224996Z aggregated communication bandwidth. 2025-08-14T21:16:36.7225201Z 2025-08-14T21:16:36.7225437Z In both cases of single-node distributed training or multi-node distributed 2025-08-14T21:16:36.7226068Z training, this utility will launch the given number of processes per node 2025-08-14T21:16:36.7226625Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2025-08-14T21:16:36.7227173Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2025-08-14T21:16:36.7227699Z and each process will be operating on a single GPU from *GPU 0 to 2025-08-14T21:16:36.7228098Z GPU (nproc_per_node - 1)*. 2025-08-14T21:16:36.7228283Z 2025-08-14T21:16:36.7228379Z **How to use this module:** 2025-08-14T21:16:36.7228552Z 2025-08-14T21:16:36.7228708Z 1. Single-Node multi-process distributed training 2025-08-14T21:16:36.7228954Z 2025-08-14T21:16:36.7229048Z :: 2025-08-14T21:16:36.7229150Z 2025-08-14T21:16:36.7229378Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-14T21:16:36.7229968Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2025-08-14T21:16:36.7230387Z arguments of your training script) 2025-08-14T21:16:36.7230642Z 2025-08-14T21:16:36.7230843Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2025-08-14T21:16:36.7231165Z 2025-08-14T21:16:36.7231168Z 2025-08-14T21:16:36.7231306Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2025-08-14T21:16:36.7231557Z 2025-08-14T21:16:36.7231638Z :: 2025-08-14T21:16:36.7231742Z 2025-08-14T21:16:36.7231981Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-14T21:16:36.7232468Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2025-08-14T21:16:36.7232933Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-14T21:16:36.7233395Z and all other arguments of your training script) 2025-08-14T21:16:36.7233646Z 2025-08-14T21:16:36.7233740Z Node 2: 2025-08-14T21:16:36.7233854Z 2025-08-14T21:16:36.7233933Z :: 2025-08-14T21:16:36.7234049Z 2025-08-14T21:16:36.7234275Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-14T21:16:36.7234767Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2025-08-14T21:16:36.7235217Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-14T21:16:36.7235677Z and all other arguments of your training script) 2025-08-14T21:16:36.7235942Z 2025-08-14T21:16:36.7236098Z 3. To look up what optional arguments this module offers: 2025-08-14T21:16:36.7236354Z 2025-08-14T21:16:36.7236448Z :: 2025-08-14T21:16:36.7236555Z 2025-08-14T21:16:36.7236691Z python -m torch.distributed.launch --help 2025-08-14T21:16:36.7236940Z 2025-08-14T21:16:36.7236944Z 2025-08-14T21:16:36.7237038Z **Important Notices:** 2025-08-14T21:16:36.7237191Z 2025-08-14T21:16:36.7237382Z 1. This utility and multi-process distributed (single-node or 2025-08-14T21:16:36.7237912Z multi-node) GPU training currently only achieves the best performance using 2025-08-14T21:16:36.7238492Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2025-08-14T21:16:36.7238943Z use for GPU training. 2025-08-14T21:16:36.7239092Z 2025-08-14T21:16:36.7239309Z 2. In your training program, you must parse the command-line argument: 2025-08-14T21:16:36.7239838Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2025-08-14T21:16:36.7240392Z If your training program uses GPUs, you should ensure that your code only 2025-08-14T21:16:36.7240908Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2025-08-14T21:16:36.7241198Z 2025-08-14T21:16:36.7241373Z Parsing the local_rank argument 2025-08-14T21:16:36.7241556Z 2025-08-14T21:16:36.7241637Z :: 2025-08-14T21:16:36.7241755Z 2025-08-14T21:16:36.7241851Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.7242114Z >>> import argparse 2025-08-14T21:16:36.7242384Z >>> parser = argparse.ArgumentParser() 2025-08-14T21:16:36.7242801Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2025-08-14T21:16:36.7243214Z >>> args = parser.parse_args() 2025-08-14T21:16:36.7243407Z 2025-08-14T21:16:36.7243537Z Set your device to local rank using either 2025-08-14T21:16:36.7243755Z 2025-08-14T21:16:36.7243834Z :: 2025-08-14T21:16:36.7243952Z 2025-08-14T21:16:36.7244146Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2025-08-14T21:16:36.7244447Z 2025-08-14T21:16:36.7244544Z or 2025-08-14T21:16:36.7244649Z 2025-08-14T21:16:36.7244730Z :: 2025-08-14T21:16:36.7244847Z 2025-08-14T21:16:36.7244974Z >>> with torch.cuda.device(args.local_rank): 2025-08-14T21:16:36.7245313Z >>> # your code to run 2025-08-14T21:16:36.7245583Z >>> ... 2025-08-14T21:16:36.7245707Z 2025-08-14T21:16:36.7245807Z .. versionchanged:: 2.0.0 2025-08-14T21:16:36.7245982Z 2025-08-14T21:16:36.7246215Z The launcher will passes the ``--local-rank=`` argument to your script. 2025-08-14T21:16:36.7246834Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2025-08-14T21:16:36.7247334Z previously used underscored ``--local_rank``. 2025-08-14T21:16:36.7247583Z 2025-08-14T21:16:36.7247812Z For backward compatibility, it may be necessary for users to handle both 2025-08-14T21:16:36.7248409Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2025-08-14T21:16:36.7248989Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2025-08-14T21:16:36.7249539Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2025-08-14T21:16:36.7250125Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2025-08-14T21:16:36.7250610Z including ``"--local-rank"`` should be sufficient. 2025-08-14T21:16:36.7250857Z 2025-08-14T21:16:36.7251091Z 3. In your training program, you are supposed to call the following function 2025-08-14T21:16:36.7251646Z at the beginning to start the distributed backend. It is strongly recommended 2025-08-14T21:16:36.7252211Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2025-08-14T21:16:36.7252717Z but ``env://`` is the one that is officially supported by this module. 2025-08-14T21:16:36.7253004Z 2025-08-14T21:16:36.7253086Z :: 2025-08-14T21:16:36.7253201Z 2025-08-14T21:16:36.7253397Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2025-08-14T21:16:36.7253843Z >>> init_method='env://') 2025-08-14T21:16:36.7254076Z 2025-08-14T21:16:36.7254315Z 4. In your training program, you can either use regular distributed functions 2025-08-14T21:16:36.7254882Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2025-08-14T21:16:36.7255429Z training program uses GPUs for training and you would like to use 2025-08-14T21:16:36.7255935Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2025-08-14T21:16:36.7256325Z here is how to configure it. 2025-08-14T21:16:36.7256521Z 2025-08-14T21:16:36.7256602Z :: 2025-08-14T21:16:36.7256720Z 2025-08-14T21:16:36.7256914Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2025-08-14T21:16:36.7257360Z >>> device_ids=[args.local_rank], 2025-08-14T21:16:36.7257739Z >>> output_device=args.local_rank) 2025-08-14T21:16:36.7257997Z 2025-08-14T21:16:36.7258229Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2025-08-14T21:16:36.7258797Z that your code will be operating on. This is generally the local rank of the 2025-08-14T21:16:36.7259415Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2025-08-14T21:16:36.7259959Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2025-08-14T21:16:36.7260360Z utility 2025-08-14T21:16:36.7260469Z 2025-08-14T21:16:36.7260713Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2025-08-14T21:16:36.7261259Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2025-08-14T21:16:36.7261792Z ``--use-env=True``. You must adjust the subprocess example above to replace 2025-08-14T21:16:36.7262308Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2025-08-14T21:16:36.7262778Z will not pass ``--local-rank`` when you specify this flag. 2025-08-14T21:16:36.7263046Z 2025-08-14T21:16:36.7263137Z .. warning:: 2025-08-14T21:16:36.7263274Z 2025-08-14T21:16:36.7263467Z ``local_rank`` is NOT globally unique: it is only unique per process 2025-08-14T21:16:36.7263961Z on a machine. Thus, don't use it to decide if you should, e.g., 2025-08-14T21:16:36.7264357Z write to a networked filesystem. See 2025-08-14T21:16:36.7264786Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2025-08-14T21:16:36.7265263Z how things can go wrong if you don't do this correctly. 2025-08-14T21:16:36.7265558Z 2025-08-14T21:16:36.7265562Z 2025-08-14T21:16:36.7265566Z 2025-08-14T21:16:36.7265569Z 2025-08-14T21:16:36.7265943Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7266295Z 2025-08-14T21:16:36.7692983Z msg = Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2025-08-14T21:16:36.7693975Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7694348Z 2025-08-14T21:16:36.7694575Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2025-08-14T21:16:36.7695071Z Needs to be called on all ranks in an SPMD fashion. 2025-08-14T21:16:36.7695316Z 2025-08-14T21:16:36.7695422Z Args: 2025-08-14T21:16:36.7695784Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2025-08-14T21:16:36.7696329Z of shards that represent the local shards on this rank. 2025-08-14T21:16:36.7696822Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2025-08-14T21:16:36.7697274Z shape of the overall sharded tensor. 2025-08-14T21:16:36.7697489Z 2025-08-14T21:16:36.7697575Z Keyword args: 2025-08-14T21:16:36.7697957Z process_group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:36.7698444Z the default process group will be used. 2025-08-14T21:16:36.7698829Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-14T21:16:36.7699308Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-14T21:16:36.7699814Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-14T21:16:36.7700215Z Default: ``False``. 2025-08-14T21:16:36.7700381Z 2025-08-14T21:16:36.7700464Z Returns: 2025-08-14T21:16:36.7700730Z A :class:`ShardedTensor` object handle on this rank 2025-08-14T21:16:36.7700980Z 2025-08-14T21:16:36.7700983Z 2025-08-14T21:16:36.7701081Z Examples: 2025-08-14T21:16:36.7701434Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2025-08-14T21:16:36.7701972Z each shard have a (5, 5) local tensor, we can do it like below: 2025-08-14T21:16:36.7702255Z 2025-08-14T21:16:36.7702351Z on rank 0: 2025-08-14T21:16:36.7702598Z >>> # xdoctest: +SKIP("not distributed") 2025-08-14T21:16:36.7702927Z >>> local_shard_metadata = ShardMetadata( 2025-08-14T21:16:36.7703257Z >>> shard_offsets=[0, 0], 2025-08-14T21:16:36.7703554Z >>> shard_lengths=[5, 5], 2025-08-14T21:16:36.7703841Z >>> placement="rank:0/cuda:0" 2025-08-14T21:16:36.7704125Z >>> ) 2025-08-14T21:16:36.7704628Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-14T21:16:36.7705108Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-14T21:16:36.7705414Z 2025-08-14T21:16:36.7705498Z on rank 1: 2025-08-14T21:16:36.7705811Z >>> # xdoctest: +SKIP("not distributed") 2025-08-14T21:16:36.7706139Z >>> local_shard_metadata = ShardMetadata( 2025-08-14T21:16:36.7706467Z >>> shard_offsets=[5, 0], 2025-08-14T21:16:36.7706754Z >>> shard_lengths=[5, 5], 2025-08-14T21:16:36.7707051Z >>> placement="rank:1/cuda:1" 2025-08-14T21:16:36.7707338Z >>> ) 2025-08-14T21:16:36.7707646Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-14T21:16:36.7708138Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-14T21:16:36.7708434Z 2025-08-14T21:16:36.7708674Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7709037Z 2025-08-14T21:16:36.7800082Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835. 2025-08-14T21:16:36.7801140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7801611Z 2025-08-14T21:16:36.7801872Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2025-08-14T21:16:36.7802422Z size and sharding spec on each rank. 2025-08-14T21:16:36.7802625Z 2025-08-14T21:16:36.7802704Z Args: 2025-08-14T21:16:36.7803044Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2025-08-14T21:16:36.7803632Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2025-08-14T21:16:36.7804151Z The specification describing how to shard the Tensor. 2025-08-14T21:16:36.7804594Z global_size (Sequence[int]): Size of the sharded tensor. 2025-08-14T21:16:36.7805119Z process_group (ProcessGroup, optional): The process group to aggregate on. 2025-08-14T21:16:36.7805573Z Default: None 2025-08-14T21:16:36.7805882Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-14T21:16:36.7806364Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-14T21:16:36.7806976Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-14T21:16:36.7807655Z Default: ``False``. 2025-08-14T21:16:36.7807990Z 2025-08-14T21:16:36.7808103Z Returns: 2025-08-14T21:16:36.7808454Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2025-08-14T21:16:36.7808915Z tensor stored in the current rank. 2025-08-14T21:16:36.7809126Z 2025-08-14T21:16:36.7809209Z Examples: 2025-08-14T21:16:36.7809423Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.7809716Z >>> # All tensors below are of torch.int64 type. 2025-08-14T21:16:36.7810057Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:36.7810450Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2025-08-14T21:16:36.7810929Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2025-08-14T21:16:36.7811312Z >>> local_tensor 2025-08-14T21:16:36.7811557Z tensor([[1, 2, 3, 4]]) # Rank 0 2025-08-14T21:16:36.7811846Z tensor([[3, 4, 5, 6]]) # Rank 1 2025-08-14T21:16:36.7812134Z >>> sharding_dim = 0 2025-08-14T21:16:36.7812407Z >>> sharding_spec = ChunkShardingSpec( 2025-08-14T21:16:36.7812731Z dim=sharding_dim, 2025-08-14T21:16:36.7813005Z placements=[ 2025-08-14T21:16:36.7813250Z "rank:0/cuda:0", 2025-08-14T21:16:36.7813524Z "rank:1/cuda:1", 2025-08-14T21:16:36.7813785Z ], 2025-08-14T21:16:36.7813985Z ) 2025-08-14T21:16:36.7814231Z >>> st = ShardedTensor._init_from_local_tensor( 2025-08-14T21:16:36.7814590Z ... local_tensor, sharding_spec, [2, 4] 2025-08-14T21:16:36.7814888Z ... ) 2025-08-14T21:16:36.7815242Z >>> st 2025-08-14T21:16:36.7815459Z ShardedTensor( 2025-08-14T21:16:36.7815700Z ShardedTensorMetadata( 2025-08-14T21:16:36.7815988Z shards_metadata=[ 2025-08-14T21:16:36.7816426Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2025-08-14T21:16:36.7817059Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2025-08-14T21:16:36.7817504Z ], 2025-08-14T21:16:36.7817739Z size=torch.Size([2, 4]) 2025-08-14T21:16:36.7818019Z ) 2025-08-14T21:16:36.7818219Z >>> st.local_tensor() 2025-08-14T21:16:36.7818479Z tensor([1, 2, 3, 4]) # Rank 0 2025-08-14T21:16:36.7818757Z tensor([3, 4, 5, 6]) # Rank 1 2025-08-14T21:16:36.7818936Z 2025-08-14T21:16:36.7819190Z Warning: This API is experimental and subject to change. It lacks of a fully across 2025-08-14T21:16:36.7819797Z rank validations, and we only validate the local shard on the current rank. 2025-08-14T21:16:36.7820354Z We fully rely on the user to ensure local tensor is sharded based on the 2025-08-14T21:16:36.7820766Z sharding spec. 2025-08-14T21:16:36.7820921Z 2025-08-14T21:16:36.7821161Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7821570Z 2025-08-14T21:16:36.7822251Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076. 2025-08-14T21:16:36.7823289Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7823656Z 2025-08-14T21:16:36.7823896Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2025-08-14T21:16:36.7824342Z single local shard. 2025-08-14T21:16:36.7824482Z 2025-08-14T21:16:36.7824695Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2025-08-14T21:16:36.7825263Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2025-08-14T21:16:36.7825817Z we swap local shards directly. 2025-08-14T21:16:36.7826242Z For more generic cases, we merge different shards across different ranks and split 2025-08-14T21:16:36.7826854Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2025-08-14T21:16:36.7827220Z 2025-08-14T21:16:36.7827298Z Args: 2025-08-14T21:16:36.7827695Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2025-08-14T21:16:36.7828238Z specification describing how the tensor is sharded. 2025-08-14T21:16:36.7828515Z 2025-08-14T21:16:36.7828597Z Returns: 2025-08-14T21:16:36.7828912Z A :class:`ShardedTensor` object whose local shards are resharded. 2025-08-14T21:16:36.7829215Z 2025-08-14T21:16:36.7829299Z Examples: 2025-08-14T21:16:36.7829512Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.7829791Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:36.7830189Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2025-08-14T21:16:36.7830582Z >>> tensor = torch.stack([tensor, tensor]) 2025-08-14T21:16:36.7830890Z >>> tensor 2025-08-14T21:16:36.7831138Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2025-08-14T21:16:36.7831463Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2025-08-14T21:16:36.7831803Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2025-08-14T21:16:36.7832143Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2025-08-14T21:16:36.7832457Z >>> sharding_dim = 0 2025-08-14T21:16:36.7832732Z >>> spec = ChunkShardingSpec( 2025-08-14T21:16:36.7833026Z dim=sharding_dim, 2025-08-14T21:16:36.7833283Z placements=[ 2025-08-14T21:16:36.7833542Z "rank:0/cuda:0", 2025-08-14T21:16:36.7844242Z "rank:1/cuda:1", 2025-08-14T21:16:36.7844542Z "rank:2/cuda:2", 2025-08-14T21:16:36.7844827Z "rank:3/cuda:3", 2025-08-14T21:16:36.7845092Z ], 2025-08-14T21:16:36.7845426Z ) 2025-08-14T21:16:36.7845653Z >>> current_offsets = [0] * 2 2025-08-14T21:16:36.7845949Z >>> current_offsets[0] = rank * 2 2025-08-14T21:16:36.7846251Z >>> shard_metadata = ShardMetadata( 2025-08-14T21:16:36.7846616Z shard_offsets=copy.deepcopy(current_offsets), 2025-08-14T21:16:36.7846994Z shard_sizes=tensor.size(), 2025-08-14T21:16:36.7847330Z placement=spec.placements[rank], 2025-08-14T21:16:36.7847634Z ) 2025-08-14T21:16:36.7847849Z >>> local_shards = [ 2025-08-14T21:16:36.7848099Z Shard( 2025-08-14T21:16:36.7848321Z tensor=tensor, 2025-08-14T21:16:36.7848606Z metadata=shard_metadata, 2025-08-14T21:16:36.7848901Z ) 2025-08-14T21:16:36.7849098Z ] 2025-08-14T21:16:36.7849438Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2025-08-14T21:16:36.7849869Z >>> sharding_dim = 1 2025-08-14T21:16:36.7850143Z >>> resharding_spec = ChunkShardingSpec( 2025-08-14T21:16:36.7850470Z dim=sharding_dim, 2025-08-14T21:16:36.7850747Z placements=[ 2025-08-14T21:16:36.7850992Z "rank:0/cuda:0", 2025-08-14T21:16:36.7851268Z "rank:1/cuda:1", 2025-08-14T21:16:36.7851542Z "rank:2/cuda:2", 2025-08-14T21:16:36.7851847Z "rank:3/cuda:3", 2025-08-14T21:16:36.7852109Z ], 2025-08-14T21:16:36.7852326Z ) 2025-08-14T21:16:36.7852590Z >>> st.reshard(resharding_spec) 2025-08-14T21:16:36.7852892Z >>> tensor = st.local_shards()[0].tensor 2025-08-14T21:16:36.7853197Z >>> tensor 2025-08-14T21:16:36.7853468Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2025-08-14T21:16:36.7853845Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2025-08-14T21:16:36.7854228Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2025-08-14T21:16:36.7854615Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2025-08-14T21:16:36.7854862Z 2025-08-14T21:16:36.7855112Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7855482Z 2025-08-14T21:16:36.7937606Z msg = Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2025-08-14T21:16:36.7938582Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.7938950Z 2025-08-14T21:16:36.7939175Z Representation of a sharding plan, describes how to shard a module 2025-08-14T21:16:36.7939782Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2025-08-14T21:16:36.7940416Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2025-08-14T21:16:36.7941041Z layout of a module with a spec, and when to convert back to data parallel fashion. 2025-08-14T21:16:36.7941404Z 2025-08-14T21:16:36.7941483Z Args: 2025-08-14T21:16:36.7941869Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2025-08-14T21:16:36.7942401Z :class:`torch.distributed._shard.sharder.Sharder`]): 2025-08-14T21:16:36.7942936Z a dict describes how to shard a module, there're currently two ways to shard a module: 2025-08-14T21:16:36.7943557Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2025-08-14T21:16:36.7944033Z a parameter to a `ShardingSpec`. 2025-08-14T21:16:36.7944512Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2025-08-14T21:16:36.7944977Z to a `Sharder` object. 2025-08-14T21:16:36.7945499Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2025-08-14T21:16:36.7946240Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2025-08-14T21:16:36.7947002Z keyed by the name of module to ShardingSpec("" in key means the root module). 2025-08-14T21:16:36.7947447Z Default: `None` 2025-08-14T21:16:36.7947842Z return_local_tensor (List[str], optional): a list of string, each element enables 2025-08-14T21:16:36.7948440Z a module's sharded output to be returned as a Tensor from its local shards to 2025-08-14T21:16:36.7949032Z ensure further processing in a data parallel fashion. ("" in list means the 2025-08-14T21:16:36.7949485Z root module). 2025-08-14T21:16:36.7949719Z Default: None 2025-08-14T21:16:36.7949957Z Example: 2025-08-14T21:16:36.7950354Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2025-08-14T21:16:36.7951002Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2025-08-14T21:16:36.7951396Z 2025-08-14T21:16:36.7951561Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2025-08-14T21:16:36.7951945Z >>> class MyModule(nn.Module): 2025-08-14T21:16:36.7952263Z >>> def __init__(self) -> None: 2025-08-14T21:16:36.7952557Z >>> super().__init__() 2025-08-14T21:16:36.7952846Z >>> self.fc1 = nn.Linear() 2025-08-14T21:16:36.7953145Z >>> self.gelu = nn.GELU() 2025-08-14T21:16:36.7953432Z >>> self.fc2 = nn.Linear() 2025-08-14T21:16:36.7953732Z >>> self.relu = nn.Linear() 2025-08-14T21:16:36.7954105Z >>> 2025-08-14T21:16:36.7954313Z >>> def forward(self, input): 2025-08-14T21:16:36.7954738Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2025-08-14T21:16:36.7955016Z 2025-08-14T21:16:36.7955033Z 2025-08-14T21:16:36.7955159Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2025-08-14T21:16:36.7955508Z >>> sharding_plan = ShardingPlan( 2025-08-14T21:16:36.7955794Z >>> plan={ 2025-08-14T21:16:36.7956038Z >>> "fc1.weight": spec1, 2025-08-14T21:16:36.7956336Z >>> "fc2.weight": spec2 2025-08-14T21:16:36.7956600Z >>> }, 2025-08-14T21:16:36.7956831Z >>> output_plan={ 2025-08-14T21:16:36.7957096Z >>> "fc2": output_spec 2025-08-14T21:16:36.7957354Z >>> }, 2025-08-14T21:16:36.7957590Z >>> return_local_tensor=["fc2"] 2025-08-14T21:16:36.7957880Z >>> ) 2025-08-14T21:16:36.7957993Z 2025-08-14T21:16:36.7958231Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.7958601Z 2025-08-14T21:16:36.8699650Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2025-08-14T21:16:36.8700748Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.8701107Z 2025-08-14T21:16:36.8701216Z Run post-localSGD algorithm. 2025-08-14T21:16:36.8701408Z 2025-08-14T21:16:36.8701633Z This DDP communication hook is used for running post-localSGD algorithm, 2025-08-14T21:16:36.8702130Z by combining with a model averaging component (e.g., 2025-08-14T21:16:36.8702727Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2025-08-14T21:16:36.8703271Z that runs after the optimizer step. 2025-08-14T21:16:36.8703484Z 2025-08-14T21:16:36.8703561Z Args: 2025-08-14T21:16:36.8703900Z state (PostLocalSGDState): State information to run post-localSGD. 2025-08-14T21:16:36.8704492Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2025-08-14T21:16:36.8705276Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-14T21:16:36.8706100Z Note that since DDP comm hook only supports single process single device mode, 2025-08-14T21:16:36.8706604Z only exactly one tensor is stored in this bucket. 2025-08-14T21:16:36.8706854Z 2025-08-14T21:16:36.8706939Z Returns: 2025-08-14T21:16:36.8707295Z Future handler of the communication, which updates the gradients in place. 2025-08-14T21:16:36.8707860Z 2025-08-14T21:16:36.8707982Z Example:: 2025-08-14T21:16:36.8708190Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.8708609Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2025-08-14T21:16:36.8709090Z start_localSGD_iter=10) 2025-08-14T21:16:36.8709495Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:36.8710091Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2025-08-14T21:16:36.8710869Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2025-08-14T21:16:36.8711314Z 2025-08-14T21:16:36.8711579Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.8711929Z 2025-08-14T21:16:36.8747613Z msg = Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2025-08-14T21:16:36.8748641Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.8748998Z 2025-08-14T21:16:36.8749105Z Implement PowerSGD algorithm. 2025-08-14T21:16:36.8749303Z 2025-08-14T21:16:36.8749519Z This DDP communication hook implements PowerSGD gradient compression 2025-08-14T21:16:36.8750182Z algorithm described in the `paper `_. 2025-08-14T21:16:36.8750796Z Once gradient tensors are aggregated across all workers, this hook applies 2025-08-14T21:16:36.8751240Z compression as follows: 2025-08-14T21:16:36.8751431Z 2025-08-14T21:16:36.8751847Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2025-08-14T21:16:36.8752372Z 2025-08-14T21:16:36.8752783Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2025-08-14T21:16:36.8753286Z 2025-08-14T21:16:36.8753693Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2025-08-14T21:16:36.8754194Z 2025-08-14T21:16:36.8754302Z 2. Handles uncompressed tensors: 2025-08-14T21:16:36.8754509Z 2025-08-14T21:16:36.8754995Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2025-08-14T21:16:36.8755612Z 2025-08-14T21:16:36.8755936Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2025-08-14T21:16:36.8756371Z 2025-08-14T21:16:36.8756608Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2025-08-14T21:16:36.8756938Z 2025-08-14T21:16:36.8757172Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2025-08-14T21:16:36.8757837Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2025-08-14T21:16:36.8758253Z 2025-08-14T21:16:36.8758399Z 3.2. Computes each P in Ps, which is equal to MQ; 2025-08-14T21:16:36.8758641Z 2025-08-14T21:16:36.8758757Z 3.3. Allreduces Ps as a batch; 2025-08-14T21:16:36.8758949Z 2025-08-14T21:16:36.8759060Z 3.4. Orthogonalizes each P in Ps; 2025-08-14T21:16:36.8759273Z 2025-08-14T21:16:36.8759459Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2025-08-14T21:16:36.8759758Z 2025-08-14T21:16:36.8759874Z 3.6. Allreduces Qs as a batch; 2025-08-14T21:16:36.8760062Z 2025-08-14T21:16:36.8760356Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2025-08-14T21:16:36.8760750Z 2025-08-14T21:16:36.8761134Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2025-08-14T21:16:36.8761900Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2025-08-14T21:16:36.8762762Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2025-08-14T21:16:36.8763278Z 2025-08-14T21:16:36.8763369Z Args: 2025-08-14T21:16:36.8763883Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2025-08-14T21:16:36.8764756Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2025-08-14T21:16:36.8765324Z and ``min_compression_rate``. 2025-08-14T21:16:36.8765931Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-14T21:16:36.8766666Z Note that since DDP comm hook only supports single process single device mode, 2025-08-14T21:16:36.8767165Z only exactly one tensor is stored in this bucket. 2025-08-14T21:16:36.8767414Z 2025-08-14T21:16:36.8767507Z Returns: 2025-08-14T21:16:36.8767846Z Future handler of the communication, which updates the gradients in place. 2025-08-14T21:16:36.8768198Z 2025-08-14T21:16:36.8768291Z Example:: 2025-08-14T21:16:36.8768507Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.8768934Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2025-08-14T21:16:36.8769459Z start_powerSGD_iter=10, min_compression_rate=0.5) 2025-08-14T21:16:36.8769921Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2025-08-14T21:16:36.8770209Z 2025-08-14T21:16:36.8770463Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.8770809Z 2025-08-14T21:16:36.8784680Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38. 2025-08-14T21:16:36.8785834Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.8786206Z 2025-08-14T21:16:36.8786397Z Averages parameters periodically after the warm-up stage. 2025-08-14T21:16:36.8786695Z 2025-08-14T21:16:36.8786946Z This can be used for running `post-local SGD `_, 2025-08-14T21:16:36.8787491Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2025-08-14T21:16:36.8788004Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2025-08-14T21:16:36.8788355Z 2025-08-14T21:16:36.8788439Z Args: 2025-08-14T21:16:36.8788718Z period (int): The number of steps per model averaging. 2025-08-14T21:16:36.8789247Z Usually the period should be greater than ``1`` to reduce the communication cost. 2025-08-14T21:16:36.8789738Z Otherwise, only DDP needs to be used. 2025-08-14T21:16:36.8790168Z warmup_steps (int): The number of warm-up steps. During this stage, 2025-08-14T21:16:36.8790597Z model averaging is skipped. 2025-08-14T21:16:36.8790991Z process_group: The process group to be used for all-reduce. 2025-08-14T21:16:36.8791423Z If ``None``, the default process group, which 2025-08-14T21:16:36.8791857Z is created by :func:`torch.distributed.init_process_group`, 2025-08-14T21:16:36.8792271Z will be used. (default: ``None``) 2025-08-14T21:16:36.8792493Z 2025-08-14T21:16:36.8792588Z Example:: 2025-08-14T21:16:36.8792719Z 2025-08-14T21:16:36.8792841Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:36.8793167Z >>> import torch 2025-08-14T21:16:36.8793416Z >>> import torch.distributed as dist 2025-08-14T21:16:36.8793941Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2025-08-14T21:16:36.8794623Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-14T21:16:36.8795091Z >>> import torch.nn as nn 2025-08-14T21:16:36.8795356Z >>> 2025-08-14T21:16:36.8795642Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-14T21:16:36.8796200Z >>> torch.cuda.set_device(rank) 2025-08-14T21:16:36.8796521Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2025-08-14T21:16:36.8796914Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-14T21:16:36.8797315Z >>> module, device_ids=[rank], output_device=rank 2025-08-14T21:16:36.8797629Z >>> ) 2025-08-14T21:16:36.8797902Z >>> # Register a post-localSGD communication hook. 2025-08-14T21:16:36.8798435Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-14T21:16:36.8798984Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:36.8799475Z >>> 2025-08-14T21:16:36.8800134Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-14T21:16:36.8800846Z >>> # After 100 steps, run model averaging every 4 steps. 2025-08-14T21:16:36.8801403Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-14T21:16:36.8802072Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-14T21:16:36.8802532Z >>> for step in range(0, 200): 2025-08-14T21:16:36.8802843Z >>> optimizer.zero_grad() 2025-08-14T21:16:36.8803135Z >>> loss = loss_fn(output, labels) 2025-08-14T21:16:36.8803452Z >>> loss.backward() 2025-08-14T21:16:36.8803785Z >>> optimizer.step() 2025-08-14T21:16:36.8804137Z >>> # Will average model parameters globally every 4 steps. Thus, 2025-08-14T21:16:36.8804679Z >>> # inter-node communication only occurs every 4 iterations after 2025-08-14T21:16:36.8805113Z >>> # the initial ``warmup_steps`` period. 2025-08-14T21:16:36.8805490Z >>> averager.average_parameters(model.parameters()) 2025-08-14T21:16:36.8805765Z 2025-08-14T21:16:36.8806008Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.8806369Z 2025-08-14T21:16:36.8807209Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19. 2025-08-14T21:16:36.8808369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.8808741Z 2025-08-14T21:16:36.8809069Z Runs hierarchical model averaging (`hierarchical SGD `_). 2025-08-14T21:16:36.8809507Z 2025-08-14T21:16:36.8809812Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2025-08-14T21:16:36.8810406Z by using different periods concurrently after the warm-up stage. 2025-08-14T21:16:36.8811104Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2025-08-14T21:16:36.8811928Z that supports `post-local SGD `_, which essentially only supports 2025-08-14T21:16:36.8812668Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2025-08-14T21:16:36.8813400Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2025-08-14T21:16:36.8814136Z Similarly, the process groups within this class do not have such an intra-machine process 2025-08-14T21:16:36.8814799Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2025-08-14T21:16:36.8815178Z 2025-08-14T21:16:36.8815271Z Args: 2025-08-14T21:16:36.8815620Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2025-08-14T21:16:36.8816181Z process group size, used for initializing process groups of 2025-08-14T21:16:36.8816711Z different sizes in a hierarchy to average parameters concurrently. 2025-08-14T21:16:36.8817238Z Particularly, at each iteration, there will be at most a single 2025-08-14T21:16:36.8817841Z process group that runs averaging -- the period of such group should 2025-08-14T21:16:36.8818388Z have the largest period which the current step can be divided by. 2025-08-14T21:16:36.8818874Z For example, if the dict has three keys: 2, 4, and 8, 2025-08-14T21:16:36.8819338Z then this means totally three process groups will be created to 2025-08-14T21:16:36.8819862Z average parameters every 2, 4, and 8 iterations, respectively. 2025-08-14T21:16:36.8820367Z At the 4th iteration, only the second process group will run 2025-08-14T21:16:36.8820828Z averaging, because the first process group should be a 2025-08-14T21:16:36.8821331Z subset of the second process group, and no need to execute the first 2025-08-14T21:16:36.8821781Z process group redundantly. 2025-08-14T21:16:36.8822204Z On the other hand, the third process group can only be triggered 2025-08-14T21:16:36.8822716Z every 8 iterations, so it will not be triggered at the 4th iteration. 2025-08-14T21:16:36.8823340Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2025-08-14T21:16:36.8824205Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2025-08-14T21:16:36.8824942Z If ``None``, the default process group, which is created 2025-08-14T21:16:36.8825416Z by :func:`torch.distributed.init_process_group`, will be used. 2025-08-14T21:16:36.8825936Z (default: ``None``) 2025-08-14T21:16:36.8826163Z 2025-08-14T21:16:36.8826270Z Example:: 2025-08-14T21:16:36.8826496Z >>> # xdoctest: +SKIP('undefined rank') 2025-08-14T21:16:36.8826844Z >>> from collections import OrderedDict 2025-08-14T21:16:36.8827153Z >>> import torch 2025-08-14T21:16:36.8827420Z >>> import torch.distributed as dist 2025-08-14T21:16:36.8827893Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-14T21:16:36.8828385Z >>> PostLocalSGDState, 2025-08-14T21:16:36.8828675Z >>> post_localSGD_hook, 2025-08-14T21:16:36.8828925Z >>> ) 2025-08-14T21:16:36.8829404Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2025-08-14T21:16:36.8829988Z >>> import torch.nn as nn 2025-08-14T21:16:36.8830237Z >>> 2025-08-14T21:16:36.8830520Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-14T21:16:36.8830907Z >>> torch.cuda.set_device(rank) 2025-08-14T21:16:36.8831239Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2025-08-14T21:16:36.8831618Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-14T21:16:36.8832021Z >>> module, device_ids=[rank], output_device=rank 2025-08-14T21:16:36.8832355Z >>> ) 2025-08-14T21:16:36.8832603Z >>> # Register a post-localSGD communication hook. 2025-08-14T21:16:36.8833116Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2025-08-14T21:16:36.8833607Z >>> subgroup, _ = dist.new_subgroups() 2025-08-14T21:16:36.8834113Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2025-08-14T21:16:36.8834685Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:36.8835032Z >>> 2025-08-14T21:16:36.8835417Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2025-08-14T21:16:36.8835905Z >>> # the 16 processes every 16 iterations. 2025-08-14T21:16:36.8836321Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2025-08-14T21:16:36.8836840Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2025-08-14T21:16:36.8837540Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-14T21:16:36.8838215Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-14T21:16:36.8838737Z >>> # After 100 steps, run model averaging at two levels. 2025-08-14T21:16:36.8839104Z >>> for step in range(0, 200): 2025-08-14T21:16:36.8839388Z >>> optimizer.zero_grad() 2025-08-14T21:16:36.8839693Z >>> loss = loss_fn(output, labels) 2025-08-14T21:16:36.8840004Z >>> loss.backward() 2025-08-14T21:16:36.8840260Z >>> optimizer.step() 2025-08-14T21:16:36.8840589Z >>> # Average parameters after ``optimizer.step()``. 2025-08-14T21:16:36.8841119Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2025-08-14T21:16:36.8841650Z >>> averager.average_parameters(model.parameters()) 2025-08-14T21:16:36.8841922Z 2025-08-14T21:16:36.8842012Z .. warning :: 2025-08-14T21:16:36.8842384Z The last group size in the dict must be the size of the provided ``process_group``, 2025-08-14T21:16:36.8842963Z which indicates model averaging at the highest level of the hierarchy. 2025-08-14T21:16:36.8843577Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2025-08-14T21:16:36.8844020Z 2025-08-14T21:16:36.8844106Z .. warning :: 2025-08-14T21:16:36.8844489Z `HierarchicalModelAverager` is experimental and subject to change. 2025-08-14T21:16:36.8844820Z 2025-08-14T21:16:36.8845072Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.8845419Z 2025-08-14T21:16:36.9185540Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2025-08-14T21:16:36.9186635Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9187011Z 2025-08-14T21:16:36.9187321Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2025-08-14T21:16:36.9187956Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2025-08-14T21:16:36.9188306Z 2025-08-14T21:16:36.9188548Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2025-08-14T21:16:36.9189060Z 2025-08-14T21:16:36.9189240Z .. warning:: 2025-08-14T21:16:36.9189621Z Current implementation only supports loading Tensors. 2025-08-14T21:16:36.9189892Z 2025-08-14T21:16:36.9190018Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9190319Z >>> sd = {"mode": model} 2025-08-14T21:16:36.9190576Z >>> dcp.load( 2025-08-14T21:16:36.9190796Z >>> sd, 2025-08-14T21:16:36.9191059Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-14T21:16:36.9191447Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-14T21:16:36.9191785Z >>> checkpoint_id="path_to_model.pt" 2025-08-14T21:16:36.9192066Z >>> ) 2025-08-14T21:16:36.9192192Z 2025-08-14T21:16:36.9192437Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9192801Z 2025-08-14T21:16:36.9193461Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2025-08-14T21:16:36.9194464Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9194827Z 2025-08-14T21:16:36.9195182Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2025-08-14T21:16:36.9195941Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2025-08-14T21:16:36.9196486Z metadata file, like Torch Save files. 2025-08-14T21:16:36.9196687Z 2025-08-14T21:16:36.9196871Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2025-08-14T21:16:36.9197147Z 2025-08-14T21:16:36.9197245Z .. warning:: 2025-08-14T21:16:36.9197717Z Current implementation only supports loading Tensors. 2025-08-14T21:16:36.9198000Z 2025-08-14T21:16:36.9198108Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9198415Z >>> sd = {"mode": model} 2025-08-14T21:16:36.9198648Z >>> dcp.load( 2025-08-14T21:16:36.9198866Z >>> sd, 2025-08-14T21:16:36.9199141Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-14T21:16:36.9199509Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-14T21:16:36.9199847Z >>> checkpoint_id="path_to_model.pt" 2025-08-14T21:16:36.9200142Z >>> ) 2025-08-14T21:16:36.9200251Z 2025-08-14T21:16:36.9200492Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9200853Z 2025-08-14T21:16:36.9265744Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221. 2025-08-14T21:16:36.9266792Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9267163Z 2025-08-14T21:16:36.9267364Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2025-08-14T21:16:36.9267669Z 2025-08-14T21:16:36.9267842Z This is the current recommended way to checkpoint FSDP. 2025-08-14T21:16:36.9268189Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.9268567Z >>> import torch.distributed.checkpoint as dist_cp 2025-08-14T21:16:36.9268909Z >>> # Save 2025-08-14T21:16:36.9269196Z >>> model: torch.nn.Model 2025-08-14T21:16:36.9269485Z >>> optim_params = model.parameters() 2025-08-14T21:16:36.9269839Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2025-08-14T21:16:36.9270175Z >>> # Save 2025-08-14T21:16:36.9270491Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2025-08-14T21:16:36.9270905Z >>> state_dict = { 2025-08-14T21:16:36.9271210Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2025-08-14T21:16:36.9271566Z >>> "model": model.state_dict() 2025-08-14T21:16:36.9271857Z >>> } 2025-08-14T21:16:36.9272088Z >>> dist_cp.save_state_dict( 2025-08-14T21:16:36.9272367Z >>> state_dict=optim_state, 2025-08-14T21:16:36.9272738Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2025-08-14T21:16:36.9273153Z >>> planner=dist_cp.DefaultSavePlanner(), 2025-08-14T21:16:36.9273460Z >>> ) 2025-08-14T21:16:36.9273656Z >>> 2025-08-14T21:16:36.9273849Z >>> # Load 2025-08-14T21:16:36.9274174Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2025-08-14T21:16:36.9274632Z >>> model_state_dict = model_tp.state_dict() 2025-08-14T21:16:36.9274950Z >>> checkpoint = { 2025-08-14T21:16:36.9275212Z >>> "model": model_state_dict 2025-08-14T21:16:36.9275478Z >>> } 2025-08-14T21:16:36.9275695Z >>> dist_cp.load_state_dict( 2025-08-14T21:16:36.9276188Z >>> state_dict=checkpoint, 2025-08-14T21:16:36.9276555Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2025-08-14T21:16:36.9276987Z >>> planner=dist_cp.DefaultLoadPlanner(), 2025-08-14T21:16:36.9277308Z >>> ) 2025-08-14T21:16:36.9277562Z >>> model.load_state_dict(checkpoint["model_state"]) 2025-08-14T21:16:36.9277899Z >>> 2025-08-14T21:16:36.9278179Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2025-08-14T21:16:36.9278540Z >>> model_state_dict, 2025-08-14T21:16:36.9278830Z >>> optimizer_key="optimizer", 2025-08-14T21:16:36.9279211Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2025-08-14T21:16:36.9279579Z >>> ) 2025-08-14T21:16:36.9279764Z >>> 2025-08-14T21:16:36.9280013Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2025-08-14T21:16:36.9280383Z >>> model, optim, optim_state["optimizer"] 2025-08-14T21:16:36.9280682Z >>> ) 2025-08-14T21:16:36.9280881Z >>> 2025-08-14T21:16:36.9281105Z >>> optim.load_state_dict(flattened_osd) 2025-08-14T21:16:36.9281321Z 2025-08-14T21:16:36.9281562Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9282046Z 2025-08-14T21:16:36.9291069Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-14T21:16:36.9292182Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9292547Z 2025-08-14T21:16:36.9292835Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-14T21:16:36.9293226Z 2025-08-14T21:16:36.9293524Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-14T21:16:36.9293915Z 2025-08-14T21:16:36.9294179Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-14T21:16:36.9294674Z will be visible to the whole process. 2025-08-14T21:16:36.9294878Z 2025-08-14T21:16:36.9295149Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-14T21:16:36.9295523Z 2025-08-14T21:16:36.9295653Z 1) set_up_planner - called on all ranks. 2025-08-14T21:16:36.9295978Z Signals the start of a checkpoint save. 2025-08-14T21:16:36.9296208Z 2025-08-14T21:16:36.9296325Z 2) create_local_plan - called on all ranks. 2025-08-14T21:16:36.9296819Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-14T21:16:36.9297276Z 2025-08-14T21:16:36.9297451Z 3) create_global_plan - called on the coordinator rank only. 2025-08-14T21:16:36.9298430Z Takes the SavePlan from all ranks and make any global decision. 2025-08-14T21:16:36.9298748Z 2025-08-14T21:16:36.9298860Z 4) finish_plan - called on all ranks. 2025-08-14T21:16:36.9299277Z This gives each rank a chance to adjust to global planning decisions. 2025-08-14T21:16:36.9299593Z 2025-08-14T21:16:36.9299743Z 5) resolve_data - called multiple times on each rank 2025-08-14T21:16:36.9300205Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-14T21:16:36.9300522Z 2025-08-14T21:16:36.9300816Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-14T21:16:36.9301403Z most changes can be expressed by changes in a single method. 2025-08-14T21:16:36.9301684Z 2025-08-14T21:16:36.9301802Z There are 3 usual patterns of extension: 2025-08-14T21:16:36.9302032Z 2025-08-14T21:16:36.9302277Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-14T21:16:36.9302865Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-14T21:16:36.9303192Z 2025-08-14T21:16:36.9303319Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9303654Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-14T21:16:36.9304021Z >>> def set_up_planner( 2025-08-14T21:16:36.9304287Z >>> self, 2025-08-14T21:16:36.9304537Z >>> state_dict: STATE_DICT_TYPE, 2025-08-14T21:16:36.9304875Z >>> storage_meta: Optional[StorageMeta], 2025-08-14T21:16:36.9305196Z >>> is_coordinator: bool, 2025-08-14T21:16:36.9305486Z >>> ) -> None: 2025-08-14T21:16:36.9305811Z >>> # prefix all keys with `foo_`` 2025-08-14T21:16:36.9306283Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-14T21:16:36.9306683Z 2025-08-14T21:16:36.9307002Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-14T21:16:36.9307432Z 2025-08-14T21:16:36.9307558Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9307904Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-14T21:16:36.9308221Z >>> def create_local_plan(self): 2025-08-14T21:16:36.9308536Z >>> plan = super().create_local_plan() 2025-08-14T21:16:36.9308852Z >>> for p in plan: 2025-08-14T21:16:36.9309123Z >>> if p.tensor_data is not None: 2025-08-14T21:16:36.9309498Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-14T21:16:36.9309854Z >>> return plan 2025-08-14T21:16:36.9310076Z >>> 2025-08-14T21:16:36.9310383Z >>> def resolve_data(self, write_item): 2025-08-14T21:16:36.9310723Z >>> item = super().resolve_data(write_item) 2025-08-14T21:16:36.9311208Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-14T21:16:36.9311597Z 2025-08-14T21:16:36.9311924Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-14T21:16:36.9312376Z 2025-08-14T21:16:36.9312484Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9312815Z >>> from itertools import zip_longest 2025-08-14T21:16:36.9313120Z >>> from dataclasses import replace 2025-08-14T21:16:36.9313493Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-14T21:16:36.9314030Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-14T21:16:36.9314535Z >>> # This sample doesn't handle ShardedTensors 2025-08-14T21:16:36.9314883Z >>> def create_global_plan(self, all_plans): 2025-08-14T21:16:36.9315260Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-14T21:16:36.9315614Z >>> items_per_rank = [ 2025-08-14T21:16:36.9315914Z >>> [item for item in items if item is not None] 2025-08-14T21:16:36.9316312Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-14T21:16:36.9316692Z >>> ] 2025-08-14T21:16:36.9316899Z >>> all_plans = [ 2025-08-14T21:16:36.9317218Z >>> replace(plan, items=items) 2025-08-14T21:16:36.9317621Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-14T21:16:36.9317993Z >>> ] 2025-08-14T21:16:36.9318262Z >>> return super().create_global_plan(all_plans) 2025-08-14T21:16:36.9318519Z 2025-08-14T21:16:36.9318773Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-14T21:16:36.9319410Z accomplished by having each rank contribute their data items in the local plan and 2025-08-14T21:16:36.9319891Z the global planner aggregate them: 2025-08-14T21:16:36.9320103Z 2025-08-14T21:16:36.9320213Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9320578Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-14T21:16:36.9320951Z >>> def create_local_plan(self) -> SavePlan: 2025-08-14T21:16:36.9321304Z >>> plan = super().create_local_plan() 2025-08-14T21:16:36.9321680Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-14T21:16:36.9322030Z >>> 2025-08-14T21:16:36.9322413Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-14T21:16:36.9323003Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-14T21:16:36.9323459Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-14T21:16:36.9323874Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-14T21:16:36.9324256Z >>> return global_plan, metadata 2025-08-14T21:16:36.9324478Z 2025-08-14T21:16:36.9324718Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9325068Z 2025-08-14T21:16:36.9325641Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-14T21:16:36.9326549Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9326920Z 2025-08-14T21:16:36.9327190Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-14T21:16:36.9327584Z 2025-08-14T21:16:36.9327854Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-14T21:16:36.9328238Z 2025-08-14T21:16:36.9328513Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-14T21:16:36.9328993Z will be visible to the whole process. 2025-08-14T21:16:36.9329206Z 2025-08-14T21:16:36.9329526Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-14T21:16:36.9329913Z 2025-08-14T21:16:36.9330025Z 1) set_up_planner - called on all ranks. 2025-08-14T21:16:36.9330365Z Signals the start of loading a checkpoint. 2025-08-14T21:16:36.9330591Z 2025-08-14T21:16:36.9330708Z 2) create_local_plan - called on all ranks. 2025-08-14T21:16:36.9331208Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-14T21:16:36.9331592Z 2025-08-14T21:16:36.9331778Z 3) create_global_plan - called on the coordinator rank only. 2025-08-14T21:16:36.9332253Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-14T21:16:36.9332548Z 2025-08-14T21:16:36.9332684Z 4) load_bytes - called multiple times on each rank 2025-08-14T21:16:36.9333097Z This is called once per non-tensor value in state_dict. 2025-08-14T21:16:36.9333362Z 2025-08-14T21:16:36.9333591Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-14T21:16:36.9334085Z They are called in pair for each Tensor value in state_dict. 2025-08-14T21:16:36.9334380Z 2025-08-14T21:16:36.9334666Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-14T21:16:36.9335254Z most changes can be expressed by changes in a single method. 2025-08-14T21:16:36.9335644Z 2025-08-14T21:16:36.9335781Z There are two usual patterns of extension: 2025-08-14T21:16:36.9336035Z 2025-08-14T21:16:36.9336278Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-14T21:16:36.9336878Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-14T21:16:36.9337451Z to keep a reference to the original state_dict as load happens in place so 2025-08-14T21:16:36.9337903Z we need to be able to perform it in place 2025-08-14T21:16:36.9338119Z 2025-08-14T21:16:36.9338226Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9338567Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-14T21:16:36.9338904Z >>> def set_up_planner( 2025-08-14T21:16:36.9339151Z >>> self, 2025-08-14T21:16:36.9339394Z >>> state_dict: STATE_DICT_TYPE, 2025-08-14T21:16:36.9339703Z >>> metadata: Metadata, 2025-08-14T21:16:36.9339978Z >>> is_coordinator: bool, 2025-08-14T21:16:36.9340263Z >>> ) -> None: 2025-08-14T21:16:36.9340533Z >>> self.original_state_dict = state_dict 2025-08-14T21:16:36.9340925Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-14T21:16:36.9341291Z >>> 2025-08-14T21:16:36.9341526Z >>> if self.flatten_sharded_tensors: 2025-08-14T21:16:36.9341900Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-14T21:16:36.9342232Z >>> 2025-08-14T21:16:36.9342456Z >>> if self.flatten_state_dict: 2025-08-14T21:16:36.9342849Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-14T21:16:36.9343216Z >>> 2025-08-14T21:16:36.9343438Z >>> self.state_dict = state_dict 2025-08-14T21:16:36.9343760Z >>> self.metadata = metadata 2025-08-14T21:16:36.9344069Z >>> self.is_coordinator = is_coordinator 2025-08-14T21:16:36.9344375Z >>> 2025-08-14T21:16:36.9344603Z >>> def load_bytes(self, read_item, value): 2025-08-14T21:16:36.9344921Z >>> # Remove the "foo_" prefix 2025-08-14T21:16:36.9345413Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-14T21:16:36.9345914Z 2025-08-14T21:16:36.9345918Z 2025-08-14T21:16:36.9346166Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-14T21:16:36.9346522Z 2025-08-14T21:16:36.9346642Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:36.9346992Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-14T21:16:36.9347369Z >>> def resolve_tensor(self, read_item): 2025-08-14T21:16:36.9347718Z >>> tensor = super().resolve_tensor(read_item) 2025-08-14T21:16:36.9348168Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-14T21:16:36.9348488Z >>> 2025-08-14T21:16:36.9348725Z >>> def commit_tensor(self, read_item, tensor): 2025-08-14T21:16:36.9349112Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-14T21:16:36.9349369Z 2025-08-14T21:16:36.9349611Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9349977Z 2025-08-14T21:16:36.9481943Z msg = Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1118. 2025-08-14T21:16:36.9482910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9483281Z 2025-08-14T21:16:36.9483437Z Return the model state_dict and optimizers state_dict. 2025-08-14T21:16:36.9483700Z 2025-08-14T21:16:36.9483927Z ``get_state_dict`` can process any module that is parallelized by PyTorch 2025-08-14T21:16:36.9484495Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any 2025-08-14T21:16:36.9485094Z combination of these parallelisms. The main functions of ``get_state_dict`` 2025-08-14T21:16:36.9485656Z are: 1.) returning a model and optimizer state_dict that can be resharded 2025-08-14T21:16:36.9486180Z with a different number of trainers and/or different parallelisms. 2025-08-14T21:16:36.9486889Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call 2025-08-14T21:16:36.9487393Z these APIs. 2025-08-14T21:16:36.9487639Z 3.) sanity checking the result state_dict. 2025-08-14T21:16:36.9487854Z 2025-08-14T21:16:36.9488051Z The keys of the result state dictionary are the canonical FQNs (Fully 2025-08-14T21:16:36.9488585Z Qualified Names). A canonical FQN refers to the FQN based on a parameter's 2025-08-14T21:16:36.9489155Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a 2025-08-14T21:16:36.9489694Z parameter is the FQN returned by ``module.named_parameters()`` or 2025-08-14T21:16:36.9490193Z ``module.named_buffers()`` when the module is not distributed by any 2025-08-14T21:16:36.9490752Z parallelisms. Since the optimizer internally uses parameter IDs to represent 2025-08-14T21:16:36.9491322Z a parameter, there will be a conversion from the parameter IDs to the 2025-08-14T21:16:36.9491745Z canonical FQNs when calling this API. 2025-08-14T21:16:36.9491964Z 2025-08-14T21:16:36.9492175Z ``get_state_dict`` can also process a module that is not parallelized. In 2025-08-14T21:16:36.9492725Z such a case, ``get_state_dict`` only performs one function -- converting the 2025-08-14T21:16:36.9493195Z optimizer parameter IDs to the canonical FQNs. 2025-08-14T21:16:36.9493432Z 2025-08-14T21:16:36.9493516Z Example: 2025-08-14T21:16:36.9493733Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.9493989Z >>> import torch 2025-08-14T21:16:36.9494358Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:36.9494902Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-14T21:16:36.9495438Z >>> from torch.distributed.checkpoint.state_dict import get_state_dict 2025-08-14T21:16:36.9495767Z 2025-08-14T21:16:36.9495900Z >>> fsdp_model = FSDP(copy.deepcopy(model)) 2025-08-14T21:16:36.9496300Z >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-14T21:16:36.9496712Z >>> ddp_model = DDP(copy.deepcopy(model)) 2025-08-14T21:16:36.9497111Z >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-14T21:16:36.9497395Z 2025-08-14T21:16:36.9497399Z 2025-08-14T21:16:36.9497623Z >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim) 2025-08-14T21:16:36.9498128Z >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict( 2025-08-14T21:16:36.9498509Z ... fsdp_model, fsdp_optim 2025-08-14T21:16:36.9498791Z ... ) 2025-08-14T21:16:36.9498907Z 2025-08-14T21:16:36.9499113Z >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(), 2025-08-14T21:16:36.9499627Z >>> # the asserts will fail. 2025-08-14T21:16:36.9499945Z >>> assert ddp_state_dict == fsdp_state_dict 2025-08-14T21:16:36.9500304Z >>> assert ddp_optim_state == fsdp_optim_state_dict 2025-08-14T21:16:36.9500560Z 2025-08-14T21:16:36.9500564Z 2025-08-14T21:16:36.9500643Z Args: 2025-08-14T21:16:36.9500894Z model (nn.Module): the nn.Module to the model. 2025-08-14T21:16:36.9501319Z optimizers (Union[None, Optimizer, Iterable[Optimizer]]): 2025-08-14T21:16:36.9501751Z The optimizers that are used to optimize ``model``. 2025-08-14T21:16:36.9502282Z submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters 2025-08-14T21:16:36.9502778Z that belong to the submodules. 2025-08-14T21:16:36.9503138Z options (StateDictOptions): the options to control how 2025-08-14T21:16:36.9503611Z model state_dict and optimizer state_dict should be returned. See 2025-08-14T21:16:36.9504041Z `StateDictOptions` for the details. 2025-08-14T21:16:36.9504277Z 2025-08-14T21:16:36.9504376Z Returns: 2025-08-14T21:16:36.9504673Z ``Tuple`` that contain model state_dict and optimizer state_dict. 2025-08-14T21:16:36.9504986Z 2025-08-14T21:16:36.9505208Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType] 2025-08-14T21:16:36.9505535Z 2025-08-14T21:16:36.9505895Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9506297Z 2025-08-14T21:16:36.9515845Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69. 2025-08-14T21:16:36.9516771Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9517145Z 2025-08-14T21:16:36.9517331Z Load a checkpoint into a distributed state dict in SPMD style. 2025-08-14T21:16:36.9517639Z 2025-08-14T21:16:36.9517848Z Each rank must have the same keys in their ``state_dict`` provided to this 2025-08-14T21:16:36.9518399Z API. Mismatched keys may result in hangs or errors. If unsure, you can use 2025-08-14T21:16:36.9518932Z the ``utils._assert_same_keys`` API to check (but may incur communication 2025-08-14T21:16:36.9519342Z costs). 2025-08-14T21:16:36.9519453Z 2025-08-14T21:16:36.9519638Z Each rank will try to read the least amount of data necessary 2025-08-14T21:16:36.9520138Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor` 2025-08-14T21:16:36.9520727Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2025-08-14T21:16:36.9521084Z 2025-08-14T21:16:36.9521330Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-14T21:16:36.9521947Z load will first call ``state_dict`` before attempting deserialization, followed by 2025-08-14T21:16:36.9522463Z ``load_state_dict`` once the deserialization is complete. 2025-08-14T21:16:36.9522981Z For each non-``Stateful`` object, load will deserialize the object, and then replace 2025-08-14T21:16:36.9523501Z it in the ``state_dict`` with the deserialized object. 2025-08-14T21:16:36.9523750Z 2025-08-14T21:16:36.9523895Z .. warning:: 2025-08-14T21:16:36.9524192Z All tensors in ``state_dict`` must be allocated on their 2025-08-14T21:16:36.9524614Z destination device *prior to* calling this function. 2025-08-14T21:16:36.9524892Z 2025-08-14T21:16:36.9525112Z All non-tensor data is loaded using `torch.load()` and modified in place 2025-08-14T21:16:36.9525543Z on state_dict. 2025-08-14T21:16:36.9525683Z 2025-08-14T21:16:36.9525770Z .. warning:: 2025-08-14T21:16:36.9526102Z Users must call `load_state_dict` on the root module to ensure load 2025-08-14T21:16:36.9526602Z pos-processing and non-tensor data properly propagates. 2025-08-14T21:16:36.9526884Z 2025-08-14T21:16:36.9526980Z .. note: 2025-08-14T21:16:36.9527304Z If no process group is initialized, this function will assume the intent 2025-08-14T21:16:36.9527851Z is to load a checkpoint into the local process. This can be useful in the 2025-08-14T21:16:36.9528545Z case of local inference, and when using regular Tensors (as opposed to DTensor 2025-08-14T21:16:36.9528986Z or ShardedTensor) 2025-08-14T21:16:36.9529150Z 2025-08-14T21:16:36.9529230Z .. note: 2025-08-14T21:16:36.9529481Z Rank 0 is assumed to be the coordinator rank. 2025-08-14T21:16:36.9529717Z 2025-08-14T21:16:36.9529796Z Args: 2025-08-14T21:16:36.9530118Z state_dict (Dict[str, Any]): The state_dict to load the checkpoint into. 2025-08-14T21:16:36.9530579Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-14T21:16:36.9531030Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-14T21:16:36.9531529Z depends on the storage. It can be a path to a folder or to a file. 2025-08-14T21:16:36.9532000Z It can also be a key if the storage is a key-value store. 2025-08-14T21:16:36.9532368Z (Default: ``None``) 2025-08-14T21:16:36.9532657Z storage_reader (Optional[StorageReader]): 2025-08-14T21:16:36.9533089Z Instance of StorageWriter used to perform reads. If this is not 2025-08-14T21:16:36.9533592Z specified, DCP will automatically infer the reader based on the 2025-08-14T21:16:36.9534096Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-14T21:16:36.9534496Z be raised. (Default: ``None``) 2025-08-14T21:16:36.9534923Z planner (Optional[LoadPlanner]): 2025-08-14T21:16:36.9535327Z Instance of LoadPlanner. If this is not specified, the default 2025-08-14T21:16:36.9535780Z planner will be used. (Default: ``None``) 2025-08-14T21:16:36.9536140Z process_group (Optional[ProcessGroup]): 2025-08-14T21:16:36.9536550Z ProcessGroup to be used for cross-rank synchronization. 2025-08-14T21:16:36.9536922Z (Default: ``None``) 2025-08-14T21:16:36.9537297Z no_dist (bool): If ``True``, this function will assume the intent is to load 2025-08-14T21:16:36.9537867Z a checkpoint without using cross-rank synchronization. (Default: ``False``) 2025-08-14T21:16:36.9538310Z Returns: 2025-08-14T21:16:36.9538498Z None. 2025-08-14T21:16:36.9538621Z 2025-08-14T21:16:36.9538703Z Examples 2025-08-14T21:16:36.9538918Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.9539171Z >>> my_model = MyModule() 2025-08-14T21:16:36.9539479Z >>> optimizer = Adagrad(my_model.parameters()) 2025-08-14T21:16:36.9539848Z >>> model_state_dict = my_model.state_dict() 2025-08-14T21:16:36.9540300Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader( 2025-08-14T21:16:36.9540742Z ... "/checkpoint/1" 2025-08-14T21:16:36.9540997Z ... ) 2025-08-14T21:16:36.9541110Z 2025-08-14T21:16:36.9541276Z >>> torch.distributed.checkpoint.load_state_dict( 2025-08-14T21:16:36.9541634Z >>> state_dict=model_state_dict, 2025-08-14T21:16:36.9541962Z >>> storage_reader=fs_storage_reader, 2025-08-14T21:16:36.9542265Z >>> ) 2025-08-14T21:16:36.9542376Z 2025-08-14T21:16:36.9542569Z >>> # module.load_state_dict() function might have customized steps 2025-08-14T21:16:36.9542998Z >>> # to flush the state_dict, must call it to 2025-08-14T21:16:36.9543333Z >>> # ensure correct behavior. 2025-08-14T21:16:36.9543642Z >>> my_model.load_state_dict(model_state_dict) 2025-08-14T21:16:36.9543880Z 2025-08-14T21:16:36.9543966Z .. note:: 2025-08-14T21:16:36.9544286Z load_state_dict uses collectives to coordinate reads across ranks. 2025-08-14T21:16:36.9544804Z For NCCL-based process groups, internal tensor representations of 2025-08-14T21:16:36.9545325Z objects must be moved to the GPU device before communication takes place. 2025-08-14T21:16:36.9545970Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-14T21:16:36.9546595Z and it is the user's responsibility to ensure that this is set so that each 2025-08-14T21:16:36.9547387Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-14T21:16:36.9547945Z 2025-08-14T21:16:36.9548414Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9548785Z 2025-08-14T21:16:36.9549384Z msg = Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97. 2025-08-14T21:16:36.9550309Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9550667Z 2025-08-14T21:16:36.9550793Z Save a distributed model in SPMD style. 2025-08-14T21:16:36.9551008Z 2025-08-14T21:16:36.9551202Z This function is different from ``torch.save()`` as it handles 2025-08-14T21:16:36.9551729Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2025-08-14T21:16:36.9552094Z 2025-08-14T21:16:36.9552339Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-14T21:16:36.9552848Z save will call ``state_dict`` before serialization. 2025-08-14T21:16:36.9553094Z 2025-08-14T21:16:36.9553186Z .. warning:: 2025-08-14T21:16:36.9553547Z There is no guarantees of Backwards Compatibility across PyTorch versions 2025-08-14T21:16:36.9553988Z for saved state_dicts. 2025-08-14T21:16:36.9554152Z 2025-08-14T21:16:36.9554249Z .. warning:: 2025-08-14T21:16:36.9554737Z If using the `process_group` argument, make sure that only its ranks 2025-08-14T21:16:36.9555712Z call `save_state_dict` and that all data in state_dict belong to it. 2025-08-14T21:16:36.9556061Z 2025-08-14T21:16:36.9556160Z .. note:: 2025-08-14T21:16:36.9556524Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2025-08-14T21:16:36.9557143Z the shard_group should be calling `save_state_dict` and the corresponding process 2025-08-14T21:16:36.9557624Z group needs to be passed in. 2025-08-14T21:16:36.9557813Z 2025-08-14T21:16:36.9557909Z .. note:: 2025-08-14T21:16:36.9558273Z If no process group is available, this function assumes the intention is to save the 2025-08-14T21:16:36.9558757Z state_dict in the local process. 2025-08-14T21:16:36.9558959Z 2025-08-14T21:16:36.9559053Z .. note: 2025-08-14T21:16:36.9559288Z Rank 0 is assumed to be the coordinator rank. 2025-08-14T21:16:36.9559536Z 2025-08-14T21:16:36.9559540Z 2025-08-14T21:16:36.9559622Z Args: 2025-08-14T21:16:36.9559883Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-14T21:16:36.9560282Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-14T21:16:36.9560724Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-14T21:16:36.9561239Z depends on the storage. It can be a path to a folder or to a file. 2025-08-14T21:16:36.9561714Z It can also be a key if the storage is a key-value store. 2025-08-14T21:16:36.9562071Z (Default: ``None``) 2025-08-14T21:16:36.9562376Z storage_writer (Optional[StorageWriter]): 2025-08-14T21:16:36.9562811Z Instance of StorageWriter used to perform writes. If this is not 2025-08-14T21:16:36.9563316Z specified, DCP will automatically infer the writer based on the 2025-08-14T21:16:36.9563826Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-14T21:16:36.9564243Z be raised. (Default: ``None``) 2025-08-14T21:16:36.9564357Z planner (Optional[SavePlanner]): 2025-08-14T21:16:36.9564568Z Instance of SavePlanner. If this is not specified, the default 2025-08-14T21:16:36.9564695Z planner will be used. (Default: ``None``) 2025-08-14T21:16:36.9564820Z process_group (Optional[ProcessGroup]): 2025-08-14T21:16:36.9565011Z ProcessGroup to be used for cross-rank synchronization. 2025-08-14T21:16:36.9565105Z (Default: ``None``) 2025-08-14T21:16:36.9565192Z no_dist (bool): 2025-08-14T21:16:36.9565370Z If ``True``, this function will assume the intent is to load 2025-08-14T21:16:36.9565491Z a checkpoint on a single rank/process. 2025-08-14T21:16:36.9565600Z (Default: ``False``) 2025-08-14T21:16:36.9565907Z use_collectives (bool): If ``False``, this function will assume the intent is to save 2025-08-14T21:16:36.9566076Z a checkpoint without using cross-rank synchronization. 2025-08-14T21:16:36.9566182Z (Default: ``True``) 2025-08-14T21:16:36.9566397Z This configuration is experimental and should be used with caution. 2025-08-14T21:16:36.9566659Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-14T21:16:36.9566666Z 2025-08-14T21:16:36.9566762Z Returns: 2025-08-14T21:16:36.9566913Z Metadata: Metadata object for the saved checkpoint. 2025-08-14T21:16:36.9566918Z 2025-08-14T21:16:36.9567017Z Example: 2025-08-14T21:16:36.9567112Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.9567207Z >>> my_model = MyModule() 2025-08-14T21:16:36.9567212Z 2025-08-14T21:16:36.9567329Z >>> state_dict = {"model": my_model} 2025-08-14T21:16:36.9567334Z 2025-08-14T21:16:36.9567562Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-14T21:16:36.9567659Z ... "/checkpoint/1" 2025-08-14T21:16:36.9567750Z ... ) 2025-08-14T21:16:36.9567877Z >>> torch.distributed.checkpoint.save( 2025-08-14T21:16:36.9567987Z >>> state_dict=state_dict, 2025-08-14T21:16:36.9568099Z >>> storage_writer=fs_storage_writer, 2025-08-14T21:16:36.9568179Z >>> ) 2025-08-14T21:16:36.9568213Z 2025-08-14T21:16:36.9568309Z .. note:: 2025-08-14T21:16:36.9568514Z save_state_dict uses collectives to coordinate writes across ranks. 2025-08-14T21:16:36.9568746Z For NCCL-based process groups, internal tensor representations of 2025-08-14T21:16:36.9568975Z objects must be moved to the GPU device before communication takes place. 2025-08-14T21:16:36.9569186Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-14T21:16:36.9569396Z and it is the user's responsibility to ensure that this is set so that 2025-08-14T21:16:36.9569582Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-14T21:16:36.9569591Z 2025-08-14T21:16:36.9569830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9569834Z 2025-08-14T21:16:36.9570468Z msg = Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230. 2025-08-14T21:16:36.9570718Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9570983Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2025-08-14T21:16:36.9571255Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2025-08-14T21:16:36.9571259Z 2025-08-14T21:16:36.9571358Z .. warning:: 2025-08-14T21:16:36.9571508Z This feature is experimental and subject to change. 2025-08-14T21:16:36.9571647Z MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED 2025-08-14T21:16:36.9571652Z 2025-08-14T21:16:36.9571746Z Args: 2025-08-14T21:16:36.9571898Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-14T21:16:36.9572034Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-14T21:16:36.9572250Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-14T21:16:36.9572443Z depends on the storage. It can be a path to a folder or to a file. 2025-08-14T21:16:36.9572618Z It can also be a key if the storage is a key-value store. 2025-08-14T21:16:36.9572719Z (Default: ``None``) 2025-08-14T21:16:36.9572843Z storage_writer (Optional[StorageWriter]): 2025-08-14T21:16:36.9573059Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2025-08-14T21:16:36.9573285Z this is not specified, DCP will automatically infer the writer based on the 2025-08-14T21:16:36.9573480Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-14T21:16:36.9573600Z be raised. (Default: ``None``) 2025-08-14T21:16:36.9573791Z planner (Optional[SavePlanner]): 2025-08-14T21:16:36.9573996Z Instance of SavePlanner. If this is not specified, the default 2025-08-14T21:16:36.9574120Z planner will be used. (Default: ``None``) 2025-08-14T21:16:36.9574246Z process_group (Optional[ProcessGroup]): 2025-08-14T21:16:36.9574435Z ProcessGroup to be used for cross-rank synchronization. 2025-08-14T21:16:36.9574532Z (Default: ``None``) 2025-08-14T21:16:36.9574686Z async_checkpointer_type (AsyncCheckpointerType): 2025-08-14T21:16:36.9574862Z whether to do checkpoint in separate thread or process 2025-08-14T21:16:36.9575003Z (Default: ``AsyncCheckpointerType.THREAD``) 2025-08-14T21:16:36.9575121Z async_stager (AsyncStager): 2025-08-14T21:16:36.9575368Z provides staging implementation. If storage_writer implements AsyncStager 2025-08-14T21:16:36.9575575Z and async_stager is provided, async_stager will be used for staging 2025-08-14T21:16:36.9575679Z no_dist (bool): 2025-08-14T21:16:36.9575844Z If ``True``, this function will assume the intent is to save 2025-08-14T21:16:36.9576186Z a checkpoint on a single rank/process. 2025-08-14T21:16:36.9576298Z (Default: ``False``) 2025-08-14T21:16:36.9576692Z use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``) 2025-08-14T21:16:36.9576986Z This configuration is experimental and should be used with caution. 2025-08-14T21:16:36.9577242Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-14T21:16:36.9577247Z 2025-08-14T21:16:36.9577330Z Returns: 2025-08-14T21:16:36.9577547Z Future: A future holding the resultant Metadata object from `save`. 2025-08-14T21:16:36.9577551Z 2025-08-14T21:16:36.9577635Z Example: 2025-08-14T21:16:36.9577733Z >>> # xdoctest: +SKIP 2025-08-14T21:16:36.9577850Z >>> my_model = MyModule() 2025-08-14T21:16:36.9577855Z 2025-08-14T21:16:36.9577965Z >>> state_dict = {"model": my_model} 2025-08-14T21:16:36.9577969Z 2025-08-14T21:16:36.9578217Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-14T21:16:36.9578315Z ... "/checkpoint/1" 2025-08-14T21:16:36.9578400Z ... ) 2025-08-14T21:16:36.9578620Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2025-08-14T21:16:36.9578726Z >>> state_dict=state_dict, 2025-08-14T21:16:36.9578840Z >>> storage_writer=fs_storage_writer, 2025-08-14T21:16:36.9578933Z >>> ) 2025-08-14T21:16:36.9579012Z >>> 2025-08-14T21:16:36.9579109Z >>> # ... do some work ... 2025-08-14T21:16:36.9579199Z >>> 2025-08-14T21:16:36.9579305Z >>> checkpoint_future.result() 2025-08-14T21:16:36.9579310Z 2025-08-14T21:16:36.9579400Z 2025-08-14T21:16:36.9579648Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9579652Z 2025-08-14T21:16:36.9805404Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94. 2025-08-14T21:16:36.9805676Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:36.9805686Z 2025-08-14T21:16:36.9805884Z Initialize rendezvous event object and record its operations. 2025-08-14T21:16:36.9805892Z 2025-08-14T21:16:36.9805987Z Args: 2025-08-14T21:16:36.9806112Z run_id (str): The run id of the rendezvous. 2025-08-14T21:16:36.9806253Z message (str): The message describing the event. 2025-08-14T21:16:36.9806506Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2025-08-14T21:16:36.9806695Z name (str): Event name. (E.g. Current action being performed). 2025-08-14T21:16:36.9806817Z hostname (str): Hostname of the node. 2025-08-14T21:16:36.9807098Z pid (Optional[int]): The process id of the node. 2025-08-14T21:16:36.9807333Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2025-08-14T21:16:36.9807603Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2025-08-14T21:16:36.9807755Z rank (Optional[int]): The rank of the node, if known. 2025-08-14T21:16:36.9807841Z Returns: 2025-08-14T21:16:36.9807936Z None 2025-08-14T21:16:36.9808021Z Example: 2025-08-14T21:16:36.9808157Z >>> # See DynamicRendezvousHandler class 2025-08-14T21:16:36.9808242Z >>> def _record( 2025-08-14T21:16:36.9808322Z ... self, 2025-08-14T21:16:36.9808426Z ... message: str, 2025-08-14T21:16:36.9808560Z ... node_state: NodeState = NodeState.RUNNING, 2025-08-14T21:16:36.9808662Z ... rank: Optional[int] = None, 2025-08-14T21:16:36.9808763Z ... ) -> None: 2025-08-14T21:16:36.9808877Z ... construct_and_record_rdzv_event( 2025-08-14T21:16:36.9809043Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2025-08-14T21:16:36.9809168Z ... run_id=self._settings.run_id, 2025-08-14T21:16:36.9809264Z ... message=message, 2025-08-14T21:16:36.9809361Z ... node_state=node_state, 2025-08-14T21:16:36.9809483Z ... hostname=self._this_node.addr, 2025-08-14T21:16:36.9809642Z ... pid=self._this_node.pid, 2025-08-14T21:16:36.9809821Z ... local_id=self._this_node.local_id, 2025-08-14T21:16:36.9809908Z ... rank=rank, 2025-08-14T21:16:36.9809988Z ... ) 2025-08-14T21:16:36.9809992Z 2025-08-14T21:16:36.9810251Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:36.9810255Z 2025-08-14T21:16:37.1421487Z msg = Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114. 2025-08-14T21:16:37.1421790Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.1421797Z 2025-08-14T21:16:37.1421984Z This configures FSDP-native mixed precision training. 2025-08-14T21:16:37.1421990Z 2025-08-14T21:16:37.1422077Z Attributes: 2025-08-14T21:16:37.1422319Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2025-08-14T21:16:37.1422515Z parameters during forward and backward and thus the dtype for 2025-08-14T21:16:37.1422724Z forward and backward computation. Outside forward and backward, the 2025-08-14T21:16:37.1422932Z *sharded* parameters are kept in full precision (e.g. for the 2025-08-14T21:16:37.1423132Z optimizer step), and for model checkpointing, the parameters are 2025-08-14T21:16:37.1423282Z always saved in full precision. (Default: ``None``) 2025-08-14T21:16:37.1423498Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-14T21:16:37.1423705Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2025-08-14T21:16:37.1423894Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2025-08-14T21:16:37.1424083Z the ``param_dtype`` value, still running gradient reduction in low 2025-08-14T21:16:37.1424284Z precision. This is permitted to differ from ``param_dtype``, e.g. 2025-08-14T21:16:37.1424485Z to force gradient reduction to run in full precision. (Default: 2025-08-14T21:16:37.1424572Z ``None``) 2025-08-14T21:16:37.1424777Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-14T21:16:37.1424977Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2025-08-14T21:16:37.1425165Z ``buffer_dtype`` in the first forward pass and keeps them in that 2025-08-14T21:16:37.1425377Z dtype thereafter. For model checkpointing, the buffers are saved 2025-08-14T21:16:37.1425551Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2025-08-14T21:16:37.1425633Z ``None``) 2025-08-14T21:16:37.1426126Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2025-08-14T21:16:37.1426339Z gradients to full precision after the backward pass in preparation 2025-08-14T21:16:37.1426531Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2025-08-14T21:16:37.1426733Z in the dtype used for gradient reduction, which can save memory if 2025-08-14T21:16:37.1426931Z using a custom optimizer that supports running in low precision. 2025-08-14T21:16:37.1427043Z (Default: ``False``) 2025-08-14T21:16:37.1427278Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2025-08-14T21:16:37.1427481Z its forward args and kwargs to ``param_dtype``. This is to ensure 2025-08-14T21:16:37.1427681Z that parameter and input dtypes match for forward computation, as 2025-08-14T21:16:37.1427873Z required by many ops. This may need to be set to ``True`` when only 2025-08-14T21:16:37.1428097Z applying mixed precision to some but not all FSDP modules, in which 2025-08-14T21:16:37.1428296Z case a mixed-precision FSDP submodule needs to recast its inputs. 2025-08-14T21:16:37.1428392Z (Default: ``False``) 2025-08-14T21:16:37.1428611Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2025-08-14T21:16:37.1428869Z casts its forward args and kwargs to ``param_dtype``, overriding 2025-08-14T21:16:37.1429061Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2025-08-14T21:16:37.1429250Z this does not do anything. (Default: ``True``) 2025-08-14T21:16:37.1429454Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2025-08-14T21:16:37.1429646Z module classes to ignore for mixed precision when using an 2025-08-14T21:16:37.1429821Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2025-08-14T21:16:37.1430020Z applied to them separately with mixed precision disabled (meaning 2025-08-14T21:16:37.1430229Z that the final FSDP construction would deviate from the specified 2025-08-14T21:16:37.1430408Z policy). If ``auto_wrap_policy`` is not specified, then this does 2025-08-14T21:16:37.1430609Z not do anything. This API is experimental and subject to change. 2025-08-14T21:16:37.1430711Z (Default: ``(_BatchNorm,)``) 2025-08-14T21:16:37.1430719Z 2025-08-14T21:16:37.1430893Z .. note:: This API is experimental and subject to change. 2025-08-14T21:16:37.1430901Z 2025-08-14T21:16:37.1431124Z .. note:: Only floating point tensors are cast to their specified dtypes. 2025-08-14T21:16:37.1431128Z 2025-08-14T21:16:37.1431301Z .. note:: In ``summon_full_params``, parameters are forced to full 2025-08-14T21:16:37.1431418Z precision, but buffers are not. 2025-08-14T21:16:37.1431423Z 2025-08-14T21:16:37.1431615Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2025-08-14T21:16:37.1431811Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2025-08-14T21:16:37.1432043Z Disabling FSDP's mixed precision for those norm modules only means that 2025-08-14T21:16:37.1432246Z the affine parameters are kept in ``float32``. However, this incurs 2025-08-14T21:16:37.1432468Z separate all-gathers and reduce-scatters for those norm modules, which 2025-08-14T21:16:37.1432690Z may be inefficient, so if the workload permits, the user should prefer 2025-08-14T21:16:37.1432830Z to still apply mixed precision to those modules. 2025-08-14T21:16:37.1432837Z 2025-08-14T21:16:37.1433043Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2025-08-14T21:16:37.1433239Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2025-08-14T21:16:37.1433450Z modules will have FSDP applied to them separately with mixed precision 2025-08-14T21:16:37.1433627Z disabled. See the ``_module_classes_to_ignore`` argument. 2025-08-14T21:16:37.1433632Z 2025-08-14T21:16:37.1433885Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2025-08-14T21:16:37.1434102Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2025-08-14T21:16:37.1434260Z its ``cast_root_forward_inputs`` takes precedence over its 2025-08-14T21:16:37.1447849Z ``cast_forward_inputs``. For non-root FSDP instances, their 2025-08-14T21:16:37.1448146Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2025-08-14T21:16:37.1448366Z sufficient for the typical case where each FSDP instance has the same 2025-08-14T21:16:37.1448608Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2025-08-14T21:16:37.1448788Z ``param_dtype`` at the beginning of the model's forward pass. 2025-08-14T21:16:37.1448796Z 2025-08-14T21:16:37.1449018Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2025-08-14T21:16:37.1449245Z configurations, we recommend setting individual ``cast_forward_inputs`` 2025-08-14T21:16:37.1449450Z values to configure casting inputs or not before each instance's 2025-08-14T21:16:37.1449650Z forward. In such a case, since the casts happen before each FSDP 2025-08-14T21:16:37.1449854Z instance's forward, a parent FSDP instance should have its non-FSDP 2025-08-14T21:16:37.1450074Z submodules run before its FSDP submodules to avoid the activation dtype 2025-08-14T21:16:37.1450393Z being changed due to a different ``MixedPrecision`` configuration. 2025-08-14T21:16:37.1450437Z 2025-08-14T21:16:37.1450530Z Example:: 2025-08-14T21:16:37.1450535Z 2025-08-14T21:16:37.1450678Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.1450841Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2025-08-14T21:16:37.1450936Z >>> model[1] = FSDP( 2025-08-14T21:16:37.1451042Z >>> model[1], 2025-08-14T21:16:37.1451336Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2025-08-14T21:16:37.1451432Z >>> ) 2025-08-14T21:16:37.1451530Z >>> model = FSDP( 2025-08-14T21:16:37.1451616Z >>> model, 2025-08-14T21:16:37.1451923Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2025-08-14T21:16:37.1452005Z >>> ) 2025-08-14T21:16:37.1452010Z 2025-08-14T21:16:37.1452214Z The above shows a working example. On the other hand, if ``model[1]`` 2025-08-14T21:16:37.1452424Z were replaced with ``model[0]``, meaning that the submodule using 2025-08-14T21:16:37.1452640Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2025-08-14T21:16:37.1452863Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2025-08-14T21:16:37.1452946Z ones. 2025-08-14T21:16:37.1452950Z 2025-08-14T21:16:37.1452955Z 2025-08-14T21:16:37.1453197Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.1453202Z 2025-08-14T21:16:37.1453815Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-14T21:16:37.1454066Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.1454071Z 2025-08-14T21:16:37.1454278Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-14T21:16:37.1454467Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-14T21:16:37.1454660Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-14T21:16:37.1454886Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-14T21:16:37.1455076Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-14T21:16:37.1455173Z follows: 2025-08-14T21:16:37.1455177Z 2025-08-14T21:16:37.1455298Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.1455526Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:37.1455731Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-14T21:16:37.1455929Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-14T21:16:37.1456137Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-14T21:16:37.1456261Z >>> state = fsdp.state_dict() 2025-08-14T21:16:37.1456462Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-14T21:16:37.1456710Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-14T21:16:37.1456936Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-14T21:16:37.1457035Z >>> if dist.get_rank() == 0: 2025-08-14T21:16:37.1457223Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-14T21:16:37.1457358Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-14T21:16:37.1457472Z >>> model.load_state_dict(state_dict) 2025-08-14T21:16:37.1457718Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-14T21:16:37.1457946Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-14T21:16:37.1458047Z >>> fsdp = FSDP( 2025-08-14T21:16:37.1458132Z ... model, 2025-08-14T21:16:37.1458259Z ... device_id=torch.cuda.current_device(), 2025-08-14T21:16:37.1458400Z ... auto_wrap_policy=..., 2025-08-14T21:16:37.1458502Z ... sync_module_states=True, 2025-08-14T21:16:37.1458612Z ... ) 2025-08-14T21:16:37.1458828Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-14T21:16:37.1458833Z 2025-08-14T21:16:37.1458920Z Attributes: 2025-08-14T21:16:37.1459109Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-14T21:16:37.1459313Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-14T21:16:37.1459466Z ranks save the full state dict. (Default: ``False``) 2025-08-14T21:16:37.1459471Z 2025-08-14T21:16:37.1459729Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.1459734Z 2025-08-14T21:16:37.1558160Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634. 2025-08-14T21:16:37.1558436Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.1558682Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-14T21:16:37.1558688Z 2025-08-14T21:16:37.1558940Z Also takes (optional) configuration for the model's and optimizer's state dict. 2025-08-14T21:16:37.1559156Z The target module does not have to be a FSDP module. If the target 2025-08-14T21:16:37.1559359Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2025-08-14T21:16:37.1559378Z 2025-08-14T21:16:37.1559588Z .. note:: This API should be called for only the top-level (root) 2025-08-14T21:16:37.1559675Z module. 2025-08-14T21:16:37.1559680Z 2025-08-14T21:16:37.1559888Z .. note:: This API enables users to transparently use the conventional 2025-08-14T21:16:37.1560071Z ``state_dict`` API to take model checkpoints in cases where the 2025-08-14T21:16:37.1560269Z root FSDP module is wrapped by another ``nn.Module``. For example, 2025-08-14T21:16:37.1560482Z the following will ensure ``state_dict`` is called on all non-FSDP 2025-08-14T21:16:37.1560703Z instances, while dispatching into `sharded_state_dict` implementation 2025-08-14T21:16:37.1560791Z for FSDP: 2025-08-14T21:16:37.1560795Z 2025-08-14T21:16:37.1560897Z Example:: 2025-08-14T21:16:37.1560901Z 2025-08-14T21:16:37.1561032Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.1561151Z >>> model = DDP(FSDP(...)) 2025-08-14T21:16:37.1561263Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:37.1561556Z >>> model, 2025-08-14T21:16:37.1561702Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-14T21:16:37.1561911Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2025-08-14T21:16:37.1562126Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2025-08-14T21:16:37.1562225Z >>> ) 2025-08-14T21:16:37.1562353Z >>> param_state_dict = model.state_dict() 2025-08-14T21:16:37.1562532Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-14T21:16:37.1562536Z 2025-08-14T21:16:37.1562621Z Args: 2025-08-14T21:16:37.1562741Z module (torch.nn.Module): Root module. 2025-08-14T21:16:37.1562977Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-14T21:16:37.1563203Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2025-08-14T21:16:37.1563314Z target ``state_dict_type``. 2025-08-14T21:16:37.1563569Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2025-08-14T21:16:37.1563682Z for the optimizer state dict. 2025-08-14T21:16:37.1563686Z 2025-08-14T21:16:37.1563782Z Returns: 2025-08-14T21:16:37.1564038Z A StateDictSettings that include the previous state_dict type and 2025-08-14T21:16:37.1564147Z configuration for the module. 2025-08-14T21:16:37.1564284Z 2025-08-14T21:16:37.1564528Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.1564533Z 2025-08-14T21:16:37.1565319Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792. 2025-08-14T21:16:37.1565570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.1565808Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-14T21:16:37.1565813Z 2025-08-14T21:16:37.1566132Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2025-08-14T21:16:37.1566260Z :meth:`set_state_dict_type` for the detail. 2025-08-14T21:16:37.1566268Z 2025-08-14T21:16:37.1566370Z Example:: 2025-08-14T21:16:37.1566375Z 2025-08-14T21:16:37.1566508Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.1566612Z >>> model = DDP(FSDP(...)) 2025-08-14T21:16:37.1566736Z >>> with FSDP.state_dict_type( 2025-08-14T21:16:37.1566825Z >>> model, 2025-08-14T21:16:37.1566954Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-14T21:16:37.1567050Z >>> ): 2025-08-14T21:16:37.1567166Z >>> checkpoint = model.state_dict() 2025-08-14T21:16:37.1567170Z 2025-08-14T21:16:37.1567268Z Args: 2025-08-14T21:16:37.1567393Z module (torch.nn.Module): Root module. 2025-08-14T21:16:37.1567616Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-14T21:16:37.1567853Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2025-08-14T21:16:37.1568008Z configuration for the target ``state_dict_type``. 2025-08-14T21:16:37.1568237Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2025-08-14T21:16:37.1568445Z ``state_dict`` configuration for the target ``state_dict_type``. 2025-08-14T21:16:37.1568528Z 2025-08-14T21:16:37.1568783Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.1568787Z 2025-08-14T21:16:37.1614940Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805. 2025-08-14T21:16:37.1615365Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.1615371Z 2025-08-14T21:16:37.1615602Z Transform the state-dict of an optimizer corresponding to a sharded model. 2025-08-14T21:16:37.1615608Z 2025-08-14T21:16:37.1615806Z The given state-dict can be transformed to one of three types: 2025-08-14T21:16:37.1616097Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2025-08-14T21:16:37.1616107Z 2025-08-14T21:16:37.1616330Z For full optimizer state_dict, all states are unflattened and not sharded. 2025-08-14T21:16:37.1616548Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2025-08-14T21:16:37.1616633Z avoid OOM. 2025-08-14T21:16:37.1616637Z 2025-08-14T21:16:37.1616875Z For sharded optimizer state_dict, all states are unflattened but sharded. 2025-08-14T21:16:37.1617071Z CPU only can be specified via :meth:`state_dict_type` to further save 2025-08-14T21:16:37.1617153Z memory. 2025-08-14T21:16:37.1617162Z 2025-08-14T21:16:37.1617384Z For local state_dict, no transformation will be performed. But a state 2025-08-14T21:16:37.1617610Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2025-08-14T21:16:37.1617720Z nature (this is not supported yet). 2025-08-14T21:16:37.1617725Z 2025-08-14T21:16:37.1617873Z Example:: 2025-08-14T21:16:37.1617878Z 2025-08-14T21:16:37.1618050Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.1618340Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:37.1618500Z >>> from torch.distributed.fsdp import StateDictType 2025-08-14T21:16:37.1618757Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-14T21:16:37.1619082Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-14T21:16:37.1619254Z >>> # Save a checkpoint 2025-08-14T21:16:37.1619434Z >>> model, optim = ... 2025-08-14T21:16:37.1619647Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:37.1619814Z >>> model, 2025-08-14T21:16:37.1619949Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:37.1620089Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1620229Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1620324Z >>> ) 2025-08-14T21:16:37.1620433Z >>> state_dict = model.state_dict() 2025-08-14T21:16:37.1620596Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-14T21:16:37.1620751Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-14T21:16:37.1620845Z >>> # Load a checkpoint 2025-08-14T21:16:37.1620941Z >>> model, optim = ... 2025-08-14T21:16:37.1621099Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-14T21:16:37.1621203Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:37.1621289Z >>> model, 2025-08-14T21:16:37.1621415Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:37.1621543Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1621702Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1621782Z >>> ) 2025-08-14T21:16:37.1621891Z >>> model.load_state_dict(state_dict) 2025-08-14T21:16:37.1622045Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-14T21:16:37.1622152Z >>> model, optim, optim_state_dict 2025-08-14T21:16:37.1622234Z >>> ) 2025-08-14T21:16:37.1622365Z >>> optim.load_state_dict(optim_state_dict) 2025-08-14T21:16:37.1622372Z 2025-08-14T21:16:37.1622451Z Args: 2025-08-14T21:16:37.1622635Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-14T21:16:37.1622842Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-14T21:16:37.1622969Z were passed into the optimizer ``optim``. 2025-08-14T21:16:37.1623153Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-14T21:16:37.1623242Z parameters. 2025-08-14T21:16:37.1623545Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2025-08-14T21:16:37.1623761Z transform. If the value is None, optim.state_dict() will be used. ( 2025-08-14T21:16:37.1623856Z Default: ``None``) 2025-08-14T21:16:37.1624086Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-14T21:16:37.1624279Z are sharded or ``None`` if using the default process group. ( 2025-08-14T21:16:37.1624377Z Default: ``None``) 2025-08-14T21:16:37.1624383Z 2025-08-14T21:16:37.1624485Z Returns: 2025-08-14T21:16:37.1624671Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2025-08-14T21:16:37.1624832Z ``model``. The sharding of the optimizer state is based on 2025-08-14T21:16:37.1624941Z ``state_dict_type``. 2025-08-14T21:16:37.1624946Z 2025-08-14T21:16:37.1625189Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.1625193Z 2025-08-14T21:16:37.1626102Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903. 2025-08-14T21:16:37.1626354Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.1626359Z 2025-08-14T21:16:37.1626711Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2025-08-14T21:16:37.1626776Z 2025-08-14T21:16:37.1626938Z Given a ``optim_state_dict`` that is transformed through 2025-08-14T21:16:37.1627139Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2025-08-14T21:16:37.1627356Z state_dict that can be loaded to ``optim`` which is the optimizer for 2025-08-14T21:16:37.1627542Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2025-08-14T21:16:37.1627546Z 2025-08-14T21:16:37.1627682Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.1627915Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:37.1628068Z >>> from torch.distributed.fsdp import StateDictType 2025-08-14T21:16:37.1628252Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-14T21:16:37.1628446Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-14T21:16:37.1628544Z >>> # Save a checkpoint 2025-08-14T21:16:37.1628660Z >>> model, optim = ... 2025-08-14T21:16:37.1628763Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:37.1628864Z >>> model, 2025-08-14T21:16:37.1628979Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:37.1629103Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1629260Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1629344Z >>> ) 2025-08-14T21:16:37.1629450Z >>> state_dict = model.state_dict() 2025-08-14T21:16:37.1629575Z >>> original_osd = optim.state_dict() 2025-08-14T21:16:37.1629699Z >>> optim_state_dict = FSDP.optim_state_dict( 2025-08-14T21:16:37.1629786Z >>> model, 2025-08-14T21:16:37.1629882Z >>> optim, 2025-08-14T21:16:37.1629995Z >>> optim_state_dict=original_osd 2025-08-14T21:16:37.1630074Z >>> ) 2025-08-14T21:16:37.1630228Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-14T21:16:37.1630321Z >>> # Load a checkpoint 2025-08-14T21:16:37.1630433Z >>> model, optim = ... 2025-08-14T21:16:37.1630581Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-14T21:16:37.1630684Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:37.1630778Z >>> model, 2025-08-14T21:16:37.1630891Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:37.1631015Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1631164Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:37.1631244Z >>> ) 2025-08-14T21:16:37.1631354Z >>> model.load_state_dict(state_dict) 2025-08-14T21:16:37.1631508Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-14T21:16:37.1631675Z >>> model, optim, optim_state_dict 2025-08-14T21:16:37.1631768Z >>> ) 2025-08-14T21:16:37.1631888Z >>> optim.load_state_dict(optim_state_dict) 2025-08-14T21:16:37.1631893Z 2025-08-14T21:16:37.1631972Z Args: 2025-08-14T21:16:37.1632170Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-14T21:16:37.1632365Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-14T21:16:37.1632493Z were passed into the optimizer ``optim``. 2025-08-14T21:16:37.1632678Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-14T21:16:37.1632765Z parameters. 2025-08-14T21:16:37.1632966Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2025-08-14T21:16:37.1633170Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2025-08-14T21:16:37.1633354Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2025-08-14T21:16:37.1633540Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2025-08-14T21:16:37.1633725Z load_directly (bool): If this is set to True, this API will also 2025-08-14T21:16:37.1633918Z call optim.load_state_dict(result) before returning the result. 2025-08-14T21:16:37.1634144Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2025-08-14T21:16:37.1634270Z (Default: ``False``) 2025-08-14T21:16:37.1634499Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-14T21:16:37.1634718Z are sharded or ``None`` if using the default process group. ( 2025-08-14T21:16:37.1634814Z Default: ``None``) 2025-08-14T21:16:37.1634818Z 2025-08-14T21:16:37.1635070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.1635076Z 2025-08-14T21:16:37.2103443Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=129. 2025-08-14T21:16:37.2103749Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2103757Z 2025-08-14T21:16:37.2103990Z RemoteModule instance can only be created after RPC initialization. 2025-08-14T21:16:37.2103994Z 2025-08-14T21:16:37.2104183Z It creates a user-specified module on a specified remote node. 2025-08-14T21:16:37.2104413Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-14T21:16:37.2104543Z executed on the remote node. 2025-08-14T21:16:37.2104764Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-14T21:16:37.2104910Z gradients back to the corresponding remote module. 2025-08-14T21:16:37.2105267Z It can be shared across processors using `RPC framework `__, 2025-08-14T21:16:37.2105455Z without incurring any overheads of copying the actual module, 2025-08-14T21:16:37.2105714Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2025-08-14T21:16:37.2105826Z pointing to the remote module. 2025-08-14T21:16:37.2105832Z 2025-08-14T21:16:37.2106020Z The arguments of ``forward_async`` and ``forward`` are the same as 2025-08-14T21:16:37.2106224Z the ``forward`` method of the module returned by the ``module_cls``. 2025-08-14T21:16:37.2106228Z 2025-08-14T21:16:37.2106527Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2025-08-14T21:16:37.2106535Z 2025-08-14T21:16:37.2106786Z Particularly, to create a hybrid model, typically the local modules should be 2025-08-14T21:16:37.2107140Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2025-08-14T21:16:37.2107271Z Hybrid Example: 2025-08-14T21:16:37.2107383Z >>> class HybridModel(nn.Module): 2025-08-14T21:16:37.2107496Z >>> def __init__(self) -> None: 2025-08-14T21:16:37.2107614Z >>> nn.Module.__init__(self) 2025-08-14T21:16:37.2107957Z >>> self.remote_embedding = RemoteModule(...) 2025-08-14T21:16:37.2108079Z >>> self.local_linear = nn.Linear(...) 2025-08-14T21:16:37.2108099Z 2025-08-14T21:16:37.2108290Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-14T21:16:37.2108530Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2025-08-14T21:16:37.2108748Z the generated ``RemoteModule`` will have 2 methods in signature of 2025-08-14T21:16:37.2108879Z ``def forward(input: Tensor) -> Tensor:`` and 2025-08-14T21:16:37.2109034Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2025-08-14T21:16:37.2109039Z 2025-08-14T21:16:37.2109156Z .. note:: 2025-08-14T21:16:37.2109293Z If the remote module is placed on a cuda device, 2025-08-14T21:16:37.2109528Z any input CPU tensors will be automatically moved to the same cuda device, 2025-08-14T21:16:37.2109908Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2025-08-14T21:16:37.2109913Z 2025-08-14T21:16:37.2109991Z Args: 2025-08-14T21:16:37.2110283Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-14T21:16:37.2110557Z The device can be a local device or a remote device specified by one of the following remote 2025-08-14T21:16:37.2110699Z formats: 2025-08-14T21:16:37.2110716Z 2025-08-14T21:16:37.2110853Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-14T21:16:37.2111054Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-14T21:16:37.2111059Z 2025-08-14T21:16:37.2111305Z In addition, the device field can be optional and the default value is "cpu". 2025-08-14T21:16:37.2111424Z module_cls (nn.Module): For example, 2025-08-14T21:16:37.2111583Z >>> class MyModule(nn.Module): 2025-08-14T21:16:37.2111716Z >>> def forward(input): 2025-08-14T21:16:37.2111814Z >>> return input + 1 2025-08-14T21:16:37.2111899Z >>> 2025-08-14T21:16:37.2112010Z >>> module_cls = MyModule 2025-08-14T21:16:37.2112271Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-14T21:16:37.2112562Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-14T21:16:37.2113039Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-14T21:16:37.2113467Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-14T21:16:37.2113699Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-14T21:16:37.2113922Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-14T21:16:37.2113926Z 2025-08-14T21:16:37.2114010Z Returns: 2025-08-14T21:16:37.2114256Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-14T21:16:37.2114477Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-14T21:16:37.2114753Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-14T21:16:37.2114892Z on the user-provided module on the remote side. 2025-08-14T21:16:37.2114897Z 2025-08-14T21:16:37.2114985Z Example:: 2025-08-14T21:16:37.2115142Z Run the following code in two different processes: 2025-08-14T21:16:37.2115150Z 2025-08-14T21:16:37.2115259Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.2115364Z >>> # On worker 0: 2025-08-14T21:16:37.2115451Z >>> import torch 2025-08-14T21:16:37.2115568Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2115685Z >>> from torch import nn, Tensor 2025-08-14T21:16:37.2115897Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-14T21:16:37.2115977Z >>> 2025-08-14T21:16:37.2116121Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:37.2116234Z >>> remote_linear_module = RemoteModule( 2025-08-14T21:16:37.2116433Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-14T21:16:37.2116529Z >>> ) 2025-08-14T21:16:37.2116631Z >>> input = torch.randn(128, 20) 2025-08-14T21:16:37.2116777Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-14T21:16:37.2116889Z >>> ret = ret_fut.wait() 2025-08-14T21:16:37.2116980Z >>> rpc.shutdown() 2025-08-14T21:16:37.2116988Z 2025-08-14T21:16:37.2117088Z >>> # On worker 1: 2025-08-14T21:16:37.2117179Z >>> import torch 2025-08-14T21:16:37.2117299Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2117392Z >>> 2025-08-14T21:16:37.2117526Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:37.2117616Z >>> rpc.shutdown() 2025-08-14T21:16:37.2117621Z 2025-08-14T21:16:37.2117878Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2117882Z 2025-08-14T21:16:37.2118591Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=506. 2025-08-14T21:16:37.2118840Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2118845Z 2025-08-14T21:16:37.2119183Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2025-08-14T21:16:37.2119234Z 2025-08-14T21:16:37.2119616Z This alternate initialization method can be particularly useful if we want to create multiple 2025-08-14T21:16:37.2120132Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2025-08-14T21:16:37.2120140Z 2025-08-14T21:16:37.2120643Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2025-08-14T21:16:37.2120967Z which is not supported. The recommended way is as follows: 2025-08-14T21:16:37.2120975Z 2025-08-14T21:16:37.2121103Z 1. the sender creates a RemoteModule; 2025-08-14T21:16:37.2121254Z 2. the sender sends its ``module_rref`` over RPC; 2025-08-14T21:16:37.2121577Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2025-08-14T21:16:37.2121582Z 2025-08-14T21:16:37.2121686Z Example:: 2025-08-14T21:16:37.2121831Z Run the following code in two different processes: 2025-08-14T21:16:37.2121836Z 2025-08-14T21:16:37.2121946Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.2122049Z >>> # On worker 0: 2025-08-14T21:16:37.2122137Z >>> import torch 2025-08-14T21:16:37.2122257Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2122371Z >>> from torch import nn, Tensor 2025-08-14T21:16:37.2122584Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-14T21:16:37.2122663Z >>> 2025-08-14T21:16:37.2122805Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:37.2122912Z >>> remote_module = RemoteModule( 2025-08-14T21:16:37.2123045Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-14T21:16:37.2123125Z >>> ) 2025-08-14T21:16:37.2123210Z >>> 2025-08-14T21:16:37.2123329Z >>> remote_module1 = rpc.rpc_sync( 2025-08-14T21:16:37.2123420Z >>> "worker1/cpu", 2025-08-14T21:16:37.2123536Z >>> RemoteModule.init_from_module_rref, 2025-08-14T21:16:37.2123713Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2025-08-14T21:16:37.2123797Z >>> ) 2025-08-14T21:16:37.2123900Z >>> rpc.shutdown() 2025-08-14T21:16:37.2123907Z 2025-08-14T21:16:37.2123997Z >>> # On worker 1: 2025-08-14T21:16:37.2124085Z >>> import torch 2025-08-14T21:16:37.2124218Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2124300Z >>> 2025-08-14T21:16:37.2124431Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:37.2124538Z >>> rpc.shutdown() 2025-08-14T21:16:37.2124542Z 2025-08-14T21:16:37.2124621Z Args: 2025-08-14T21:16:37.2124916Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-14T21:16:37.2125270Z The device can be a local device or a remote device specified by one of the following remote 2025-08-14T21:16:37.2125355Z formats: 2025-08-14T21:16:37.2125359Z 2025-08-14T21:16:37.2125511Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-14T21:16:37.2125655Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-14T21:16:37.2125662Z 2025-08-14T21:16:37.2125896Z In addition, the device field can be optional and the default value is "cpu". 2025-08-14T21:16:37.2126154Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2025-08-14T21:16:37.2126261Z the created remote module. 2025-08-14T21:16:37.2126539Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-14T21:16:37.2126765Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-14T21:16:37.2126978Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-14T21:16:37.2127220Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-14T21:16:37.2127225Z 2025-08-14T21:16:37.2127308Z Returns: 2025-08-14T21:16:37.2127555Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-14T21:16:37.2127779Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2025-08-14T21:16:37.2128068Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-14T21:16:37.2128250Z on the user-provided module on the remote side. 2025-08-14T21:16:37.2128255Z 2025-08-14T21:16:37.2128496Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2128501Z 2025-08-14T21:16:37.2129126Z msg = Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=598. 2025-08-14T21:16:37.2129381Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2129386Z 2025-08-14T21:16:37.2129620Z A RemoteModule instance can only be created after RPC initialization. 2025-08-14T21:16:37.2129624Z 2025-08-14T21:16:37.2129811Z It creates a user-specified module on a specified remote node. 2025-08-14T21:16:37.2130035Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-14T21:16:37.2130153Z executed on the remote node. 2025-08-14T21:16:37.2130377Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-14T21:16:37.2130542Z gradients back to the corresponding remote module. 2025-08-14T21:16:37.2130547Z 2025-08-14T21:16:37.2130758Z It generates two methods ``forward_async`` and ``forward`` based on the 2025-08-14T21:16:37.2130964Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2025-08-14T21:16:37.2131219Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2025-08-14T21:16:37.2131412Z and ``forward`` are the same as the ``forward`` method of the module 2025-08-14T21:16:37.2131518Z returned by the ``module_cls``. 2025-08-14T21:16:37.2131522Z 2025-08-14T21:16:37.2131722Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-14T21:16:37.2131959Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2025-08-14T21:16:37.2132186Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2025-08-14T21:16:37.2132193Z 2025-08-14T21:16:37.2132313Z | ``def forward(input: Tensor) -> Tensor:`` 2025-08-14T21:16:37.2132471Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2025-08-14T21:16:37.2132476Z 2025-08-14T21:16:37.2132566Z Args: 2025-08-14T21:16:37.2132846Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-14T21:16:37.2133182Z The format should be "/", where the device field can be parsed as torch.device type. 2025-08-14T21:16:37.2133392Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2025-08-14T21:16:37.2133625Z In addition, the device field can be optional and the default value is "cpu". 2025-08-14T21:16:37.2133871Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2025-08-14T21:16:37.2133878Z 2025-08-14T21:16:37.2133984Z >>> class MyModule(nn.Module): 2025-08-14T21:16:37.2134084Z >>> def forward(input): 2025-08-14T21:16:37.2134191Z >>> return input + 1 2025-08-14T21:16:37.2134272Z >>> 2025-08-14T21:16:37.2134380Z >>> module_cls = MyModule 2025-08-14T21:16:37.2134384Z 2025-08-14T21:16:37.2134572Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-14T21:16:37.2134755Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-14T21:16:37.2134759Z 2025-08-14T21:16:37.2134854Z Returns: 2025-08-14T21:16:37.2135089Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-14T21:16:37.2135309Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-14T21:16:37.2135577Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-14T21:16:37.2135712Z on the user-provided module on the remote side. 2025-08-14T21:16:37.2135744Z 2025-08-14T21:16:37.2135843Z Example:: 2025-08-14T21:16:37.2135988Z Run the following code in two different processes: 2025-08-14T21:16:37.2136021Z 2025-08-14T21:16:37.2136131Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.2136229Z >>> # On worker 0: 2025-08-14T21:16:37.2136318Z >>> import torch 2025-08-14T21:16:37.2136439Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2136555Z >>> from torch import nn, Tensor 2025-08-14T21:16:37.2136768Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-14T21:16:37.2136862Z >>> 2025-08-14T21:16:37.2137006Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:37.2137122Z >>> remote_linear_module = RemoteModule( 2025-08-14T21:16:37.2137257Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-14T21:16:37.2137337Z >>> ) 2025-08-14T21:16:37.2137440Z >>> input = torch.randn(128, 20) 2025-08-14T21:16:37.2137598Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-14T21:16:37.2137697Z >>> ret = ret_fut.wait() 2025-08-14T21:16:37.2137789Z >>> rpc.shutdown() 2025-08-14T21:16:37.2137794Z 2025-08-14T21:16:37.2137891Z >>> # On worker 1: 2025-08-14T21:16:37.2137976Z >>> import torch 2025-08-14T21:16:37.2138106Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2138184Z >>> 2025-08-14T21:16:37.2138316Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:37.2138416Z >>> rpc.shutdown() 2025-08-14T21:16:37.2138421Z 2025-08-14T21:16:37.2138603Z Furthermore, a more practical example that is combined with 2025-08-14T21:16:37.2139074Z `DistributedDataParallel `__ (DDP) 2025-08-14T21:16:37.2139403Z can be found in this `tutorial `__. 2025-08-14T21:16:37.2139408Z 2025-08-14T21:16:37.2139651Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2139658Z 2025-08-14T21:16:37.2267527Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=129. 2025-08-14T21:16:37.2267793Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2267798Z 2025-08-14T21:16:37.2268042Z DistributedOptimizer takes remote references to parameters scattered 2025-08-14T21:16:37.2268270Z across workers and applies the given optimizer locally for each parameter. 2025-08-14T21:16:37.2268275Z 2025-08-14T21:16:37.2268711Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2025-08-14T21:16:37.2268876Z to retrieve the gradients for specific parameters. 2025-08-14T21:16:37.2268880Z 2025-08-14T21:16:37.2268974Z Concurrent calls to 2025-08-14T21:16:37.2269195Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2025-08-14T21:16:37.2269332Z either from the same or different clients, will 2025-08-14T21:16:37.2269552Z be serialized on each worker -- as each worker's optimizer can only work 2025-08-14T21:16:37.2269769Z on one set of gradients at a time. However, there is no guarantee that 2025-08-14T21:16:37.2270004Z the full forward-backward-optimizer sequence will execute for one client 2025-08-14T21:16:37.2270209Z at a time. This means that the gradients being applied may not correspond 2025-08-14T21:16:37.2270432Z to the latest forward pass executed on a given worker. Also, there is no 2025-08-14T21:16:37.2270541Z guaranteed ordering across workers. 2025-08-14T21:16:37.2270546Z 2025-08-14T21:16:37.2270811Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2025-08-14T21:16:37.2271028Z by default, so that optimizer updates are not blocked by the Python Global 2025-08-14T21:16:37.2271259Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2025-08-14T21:16:37.2271498Z Model Parallel). This feature is currently enabled for most optimizers. You 2025-08-14T21:16:37.2271788Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2025-08-14T21:16:37.2271953Z for your own custom optimizers. 2025-08-14T21:16:37.2271958Z 2025-08-14T21:16:37.2272037Z Args: 2025-08-14T21:16:37.2272226Z optimizer_class (optim.Optimizer): the class of optimizer to 2025-08-14T21:16:37.2272343Z instantiate on each worker. 2025-08-14T21:16:37.2272540Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2025-08-14T21:16:37.2272627Z to optimize. 2025-08-14T21:16:37.2272841Z args: arguments to pass to the optimizer constructor on each worker. 2025-08-14T21:16:37.2273056Z kwargs: arguments to pass to the optimizer constructor on each worker. 2025-08-14T21:16:37.2273060Z 2025-08-14T21:16:37.2273172Z Example:: 2025-08-14T21:16:37.2273281Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.2273437Z >>> import torch.distributed.autograd as dist_autograd 2025-08-14T21:16:37.2273570Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.2273668Z >>> from torch import optim 2025-08-14T21:16:37.2273850Z >>> from torch.distributed.optim import DistributedOptimizer 2025-08-14T21:16:37.2273941Z >>> 2025-08-14T21:16:37.2274067Z >>> with dist_autograd.context() as context_id: 2025-08-14T21:16:37.2274160Z >>> # Forward pass. 2025-08-14T21:16:37.2274363Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2025-08-14T21:16:37.2274548Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2025-08-14T21:16:37.2274680Z >>> loss = rref1.to_here() + rref2.to_here() 2025-08-14T21:16:37.2274763Z >>> 2025-08-14T21:16:37.2274856Z >>> # Backward pass. 2025-08-14T21:16:37.2275012Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2025-08-14T21:16:37.2275090Z >>> 2025-08-14T21:16:37.2275176Z >>> # Optimizer. 2025-08-14T21:16:37.2275307Z >>> dist_optim = DistributedOptimizer( 2025-08-14T21:16:37.2275397Z >>> optim.SGD, 2025-08-14T21:16:37.2275487Z >>> [rref1, rref2], 2025-08-14T21:16:37.2275584Z >>> lr=0.05, 2025-08-14T21:16:37.2275664Z >>> ) 2025-08-14T21:16:37.2275769Z >>> dist_optim.step(context_id) 2025-08-14T21:16:37.2275786Z 2025-08-14T21:16:37.2275936Z __ https://github.com/pytorch/tutorials/pull/1465 2025-08-14T21:16:37.2275940Z 2025-08-14T21:16:37.2276350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2276355Z 2025-08-14T21:16:37.2279328Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2025-08-14T21:16:37.2279602Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2279608Z 2025-08-14T21:16:37.2279994Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2025-08-14T21:16:37.2280142Z This optimizer runs local optimizer at every step. 2025-08-14T21:16:37.2280479Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied. 2025-08-14T21:16:37.2280483Z 2025-08-14T21:16:37.2280563Z Args: 2025-08-14T21:16:37.2280666Z optim: The local optimizer. 2025-08-14T21:16:37.2280886Z averager: A model averager instance to run post-localSGD algorithm. 2025-08-14T21:16:37.2280891Z 2025-08-14T21:16:37.2280980Z Example:: 2025-08-14T21:16:37.2280985Z 2025-08-14T21:16:37.2281105Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:37.2281207Z >>> import torch 2025-08-14T21:16:37.2281323Z >>> import torch.distributed as dist 2025-08-14T21:16:37.2281596Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-14T21:16:37.2281694Z >>> import torch.nn as nn 2025-08-14T21:16:37.2281883Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2025-08-14T21:16:37.2282204Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-14T21:16:37.2282343Z >>> PostLocalSGDState, 2025-08-14T21:16:37.2282443Z >>> post_localSGD_hook, 2025-08-14T21:16:37.2282537Z >>> ) 2025-08-14T21:16:37.2282616Z >>> 2025-08-14T21:16:37.2282769Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-14T21:16:37.2282918Z >>> module, device_ids=[rank], output_device=rank 2025-08-14T21:16:37.2282999Z >>> ) 2025-08-14T21:16:37.2283078Z >>> 2025-08-14T21:16:37.2283229Z >>> # Register a post-localSGD communication hook. 2025-08-14T21:16:37.2283513Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-14T21:16:37.2283682Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:37.2283762Z >>> 2025-08-14T21:16:37.2283957Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2025-08-14T21:16:37.2284204Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2025-08-14T21:16:37.2284365Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-14T21:16:37.2284568Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2025-08-14T21:16:37.2284692Z >>> opt = PostLocalSGDOptimizer( 2025-08-14T21:16:37.2284789Z >>> optim=local_optim, 2025-08-14T21:16:37.2285036Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-14T21:16:37.2285116Z >>> ) 2025-08-14T21:16:37.2285195Z >>> 2025-08-14T21:16:37.2285420Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2025-08-14T21:16:37.2285711Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2025-08-14T21:16:37.2286075Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2025-08-14T21:16:37.2286189Z >>> for step in range(0, 200): 2025-08-14T21:16:37.2286287Z >>> opt.zero_grad() 2025-08-14T21:16:37.2286411Z >>> loss = loss_fn(output, labels) 2025-08-14T21:16:37.2286510Z >>> loss.backward() 2025-08-14T21:16:37.2286596Z >>> opt.step() 2025-08-14T21:16:37.2286600Z 2025-08-14T21:16:37.2286856Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2286861Z 2025-08-14T21:16:37.2384915Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284. 2025-08-14T21:16:37.2385341Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2385349Z 2025-08-14T21:16:37.2385812Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2025-08-14T21:16:37.2385817Z 2025-08-14T21:16:37.2386071Z The sharing is done as described by `ZeRO `_. 2025-08-14T21:16:37.2386082Z 2025-08-14T21:16:37.2386221Z The local optimizer instance in each rank is only 2025-08-14T21:16:37.2386460Z responsible for updating approximately ``1 / world_size`` parameters and 2025-08-14T21:16:37.2386667Z hence only needs to keep ``1 / world_size`` optimizer states. After 2025-08-14T21:16:37.2386900Z parameters are updated locally, each rank will broadcast its parameters to 2025-08-14T21:16:37.2387092Z all other peers to keep all model replicas in the same state. 2025-08-14T21:16:37.2387281Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2025-08-14T21:16:37.2387539Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2025-08-14T21:16:37.2387655Z memory consumption. 2025-08-14T21:16:37.2387659Z 2025-08-14T21:16:37.2387908Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2025-08-14T21:16:37.2388130Z of parameters at each rank. Each parameter belongs to a single rank and is 2025-08-14T21:16:37.2388423Z not divided among ranks. The partition is arbitrary and might not match the 2025-08-14T21:16:37.2388549Z the parameter registration or usage order. 2025-08-14T21:16:37.2388596Z 2025-08-14T21:16:37.2388698Z Arguments: 2025-08-14T21:16:37.2388884Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2025-08-14T21:16:37.2389067Z or :class:`dict` s giving all parameters, which will be sharded 2025-08-14T21:16:37.2389172Z across ranks. 2025-08-14T21:16:37.2389177Z 2025-08-14T21:16:37.2389262Z Keyword Args: 2025-08-14T21:16:37.2389472Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2025-08-14T21:16:37.2389570Z optimizer. 2025-08-14T21:16:37.2389775Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2025-08-14T21:16:37.2389979Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2025-08-14T21:16:37.2390126Z :meth:`torch.distributed.init_process_group`). 2025-08-14T21:16:37.2390345Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2025-08-14T21:16:37.2390563Z packed into buckets to speed up communication, and ``param.data`` 2025-08-14T21:16:37.2390757Z fields point to bucket views at different offsets; if ``False``, 2025-08-14T21:16:37.2390953Z each individual parameter is communicated separately, and each 2025-08-14T21:16:37.2391110Z ``params.data`` stays intact (default: ``False``). 2025-08-14T21:16:37.2391293Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2025-08-14T21:16:37.2391496Z overlapped with :class:`DistributedDataParallel` 's gradient 2025-08-14T21:16:37.2391704Z synchronization; this requires (1) either a functional optimizer 2025-08-14T21:16:37.2391876Z for the ``optimizer_class`` argument or one with a functional 2025-08-14T21:16:37.2392056Z equivalent and (2) registering a DDP communication hook 2025-08-14T21:16:37.2392247Z constructed from one of the functions in ``ddp_zero_hook.py``; 2025-08-14T21:16:37.2392409Z parameters are packed into buckets matching those in 2025-08-14T21:16:37.2392576Z :class:`DistributedDataParallel`, meaning that the 2025-08-14T21:16:37.2392717Z ``parameters_as_bucket_view`` argument is ignored. 2025-08-14T21:16:37.2392907Z If ``False``, :meth:`step` runs disjointly after the backward pass 2025-08-14T21:16:37.2392993Z (per normal). 2025-08-14T21:16:37.2393087Z (default: ``False``) 2025-08-14T21:16:37.2393300Z **defaults: any trailing arguments, which are forwarded to the local 2025-08-14T21:16:37.2393385Z optimizer. 2025-08-14T21:16:37.2393390Z 2025-08-14T21:16:37.2393580Z Example:: 2025-08-14T21:16:37.2393585Z 2025-08-14T21:16:37.2393692Z >>> # xdoctest: +SKIP 2025-08-14T21:16:37.2393789Z >>> import torch.nn as nn 2025-08-14T21:16:37.2393997Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2025-08-14T21:16:37.2394189Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-14T21:16:37.2394407Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2025-08-14T21:16:37.2394535Z >>> ddp = DDP(model, device_ids=[rank]) 2025-08-14T21:16:37.2394649Z >>> opt = ZeroRedundancyOptimizer( 2025-08-14T21:16:37.2394748Z >>> ddp.parameters(), 2025-08-14T21:16:37.2394879Z >>> optimizer_class=torch.optim.Adam, 2025-08-14T21:16:37.2394963Z >>> lr=0.01 2025-08-14T21:16:37.2395043Z >>> ) 2025-08-14T21:16:37.2395161Z >>> ddp(inputs).sum().backward() 2025-08-14T21:16:37.2395250Z >>> opt.step() 2025-08-14T21:16:37.2395255Z 2025-08-14T21:16:37.2395350Z .. warning:: 2025-08-14T21:16:37.2395556Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2025-08-14T21:16:37.2395695Z passed-in parameters are the same dense type. 2025-08-14T21:16:37.2395700Z 2025-08-14T21:16:37.2395796Z .. warning:: 2025-08-14T21:16:37.2395998Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2025-08-14T21:16:37.2396226Z the way that overlapping :class:`DistributedDataParallel` with 2025-08-14T21:16:37.2396491Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2025-08-14T21:16:37.2396697Z two or three training iterations do not perform parameter updates in 2025-08-14T21:16:37.2396893Z the optimizer step, depending on if ``static_graph=False`` or 2025-08-14T21:16:37.2397068Z ``static_graph=True``, respectively. This is because it needs 2025-08-14T21:16:37.2397243Z information about the gradient bucketing strategy used by 2025-08-14T21:16:37.2397470Z :class:`DistributedDataParallel`, which is not finalized until the 2025-08-14T21:16:37.2397660Z second forward pass if ``static_graph=False`` or until the third 2025-08-14T21:16:37.2397857Z forward pass if ``static_graph=True``. To adjust for this, one option 2025-08-14T21:16:37.2397971Z is to prepend dummy inputs. 2025-08-14T21:16:37.2397975Z 2025-08-14T21:16:37.2398219Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2025-08-14T21:16:37.2398223Z 2025-08-14T21:16:37.2398480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2398486Z 2025-08-14T21:16:37.2585332Z msg = Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=29. 2025-08-14T21:16:37.2585613Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.2585618Z 2025-08-14T21:16:37.2585879Z Custom reducer class that can be used to specify a custom operation that 2025-08-14T21:16:37.2586056Z reduces losses of multiple microbatches into one value. 2025-08-14T21:16:37.2586061Z 2025-08-14T21:16:37.2586158Z Example: 2025-08-14T21:16:37.2586250Z >>> # xdoctest: +SKIP 2025-08-14T21:16:37.2586357Z >>> sum_reducer = _CustomReducer( 2025-08-14T21:16:37.2586467Z >>> torch.tensor(0.0), 2025-08-14T21:16:37.2586566Z >>> lambda a, b: a + b 2025-08-14T21:16:37.2586659Z >>> ) 2025-08-14T21:16:37.2586663Z 2025-08-14T21:16:37.2586903Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.2586908Z 2025-08-14T21:16:37.3080722Z msg = Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6. 2025-08-14T21:16:37.3081034Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.3081041Z 2025-08-14T21:16:37.3081285Z A decorator for a function indicating that the return value of the function 2025-08-14T21:16:37.3081684Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2025-08-14T21:16:37.3081937Z function can run asynchronously on the RPC callee. More specifically, the 2025-08-14T21:16:37.3082164Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2025-08-14T21:16:37.3082388Z function and installs subsequent processing steps as a callback to that 2025-08-14T21:16:37.3082628Z :class:`~torch.futures.Future`. The installed callback will read the value 2025-08-14T21:16:37.3082829Z from the :class:`~torch.futures.Future` when completed and send the 2025-08-14T21:16:37.3083003Z value back as the RPC response. That also means the returned 2025-08-14T21:16:37.3083237Z :class:`~torch.futures.Future` only exists on the callee side and is never 2025-08-14T21:16:37.3083447Z sent through RPC. This decorator is useful when the wrapped function's 2025-08-14T21:16:37.3083650Z (``fn``) execution needs to pause and resume due to, e.g., containing 2025-08-14T21:16:37.3083871Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2025-08-14T21:16:37.3083875Z 2025-08-14T21:16:37.3084095Z .. note:: To enable asynchronous execution, applications must pass the 2025-08-14T21:16:37.3084324Z function object returned by this decorator to RPC APIs. If RPC detected 2025-08-14T21:16:37.3084533Z attributes installed by this decorator, it knows that this function 2025-08-14T21:16:37.3084779Z returns a ``Future`` object and will handle that accordingly. 2025-08-14T21:16:37.3085044Z However, this does not mean this decorator has to be outmost one when 2025-08-14T21:16:37.3085258Z defining a function. For example, when combined with ``@staticmethod`` 2025-08-14T21:16:37.3085473Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2025-08-14T21:16:37.3085682Z inner decorator to allow the target function be recognized as a static 2025-08-14T21:16:37.3085900Z or class function. This target function can still execute asynchronously 2025-08-14T21:16:37.3086129Z because, when accessed, the static or class method preserves attributes 2025-08-14T21:16:37.3086275Z installed by ``@rpc.functions.async_execution``. 2025-08-14T21:16:37.3086279Z 2025-08-14T21:16:37.3086283Z 2025-08-14T21:16:37.3086385Z Example:: 2025-08-14T21:16:37.3086576Z The returned :class:`~torch.futures.Future` object can come from 2025-08-14T21:16:37.3086710Z :meth:`~torch.distributed.rpc.rpc_async`, 2025-08-14T21:16:37.3086940Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2025-08-14T21:16:37.3087107Z constructor. The example below shows directly using the 2025-08-14T21:16:37.3087232Z :class:`~torch.futures.Future` returned by 2025-08-14T21:16:37.3087358Z :meth:`~torch.futures.Future.then`. 2025-08-14T21:16:37.3087363Z 2025-08-14T21:16:37.3087478Z >>> from torch.distributed import rpc 2025-08-14T21:16:37.3087570Z >>> 2025-08-14T21:16:37.3087677Z >>> # omitting setup and shutdown RPC 2025-08-14T21:16:37.3087757Z >>> 2025-08-14T21:16:37.3087862Z >>> # On all workers 2025-08-14T21:16:37.3087972Z >>> @rpc.functions.async_execution 2025-08-14T21:16:37.3088080Z >>> def async_add_chained(to, x, y, z): 2025-08-14T21:16:37.3088275Z >>> # This function runs on "worker1" and returns immediately when 2025-08-14T21:16:37.3088452Z >>> # the callback is installed through the `then(cb)` API. In the 2025-08-14T21:16:37.3088629Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2025-08-14T21:16:37.3088795Z >>> # When the return value of that `rpc_async` arrives at 2025-08-14T21:16:37.3088971Z >>> # "worker1", "worker1" will run the lambda function accordingly 2025-08-14T21:16:37.3089159Z >>> # and set the value for the previously returned `Future`, which 2025-08-14T21:16:37.3089330Z >>> # will then trigger RPC to send the result back to "worker0". 2025-08-14T21:16:37.3089489Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:37.3089661Z >>> lambda fut: fut.wait() + z 2025-08-14T21:16:37.3089741Z >>> ) 2025-08-14T21:16:37.3089820Z >>> 2025-08-14T21:16:37.3089917Z >>> # On worker0 2025-08-14T21:16:37.3090010Z >>> # xdoctest: +SKIP 2025-08-14T21:16:37.3090101Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:37.3090199Z >>> "worker1", 2025-08-14T21:16:37.3090298Z >>> async_add_chained, 2025-08-14T21:16:37.3090425Z >>> args=("worker2", torch.ones(2), 1, 1) 2025-08-14T21:16:37.3090508Z >>> ) 2025-08-14T21:16:37.3090623Z >>> print(ret) # prints tensor([3., 3.]) 2025-08-14T21:16:37.3090627Z 2025-08-14T21:16:37.3090855Z When combined with TorchScript decorators, this decorator must be the 2025-08-14T21:16:37.3090940Z outmost one. 2025-08-14T21:16:37.3090944Z 2025-08-14T21:16:37.3091043Z >>> from torch import Tensor 2025-08-14T21:16:37.3091165Z >>> from torch.futures import Future 2025-08-14T21:16:37.3091276Z >>> from torch.distributed import rpc 2025-08-14T21:16:37.3091359Z >>> 2025-08-14T21:16:37.3091481Z >>> # omitting setup and shutdown RPC 2025-08-14T21:16:37.3091561Z >>> 2025-08-14T21:16:37.3091665Z >>> # On all workers 2025-08-14T21:16:37.3091761Z >>> @torch.jit.script 2025-08-14T21:16:37.3091904Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2025-08-14T21:16:37.3092038Z >>> return x + y 2025-08-14T21:16:37.3092118Z >>> 2025-08-14T21:16:37.3092228Z >>> @rpc.functions.async_execution 2025-08-14T21:16:37.3092361Z >>> @torch.jit.script 2025-08-14T21:16:37.3092544Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2025-08-14T21:16:37.3092679Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2025-08-14T21:16:37.3092768Z >>> 2025-08-14T21:16:37.3092853Z >>> # On worker0 2025-08-14T21:16:37.3092948Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:37.3093043Z >>> "worker1", 2025-08-14T21:16:37.3093127Z >>> async_add, 2025-08-14T21:16:37.3093253Z >>> args=("worker2", torch.ones(2), 1) 2025-08-14T21:16:37.3093333Z >>> ) 2025-08-14T21:16:37.3093445Z >>> print(ret) # prints tensor([2., 2.]) 2025-08-14T21:16:37.3093449Z 2025-08-14T21:16:37.3093669Z When combined with static or class method, this decorator must be the 2025-08-14T21:16:37.3093754Z inner one. 2025-08-14T21:16:37.3093761Z 2025-08-14T21:16:37.3093872Z >>> from torch.distributed import rpc 2025-08-14T21:16:37.3093979Z >>> 2025-08-14T21:16:37.3094090Z >>> # omitting setup and shutdown RPC 2025-08-14T21:16:37.3094169Z >>> 2025-08-14T21:16:37.3094276Z >>> # On all workers 2025-08-14T21:16:37.3094384Z >>> class AsyncExecutionClass: 2025-08-14T21:16:37.3094479Z >>> 2025-08-14T21:16:37.3094570Z >>> @staticmethod 2025-08-14T21:16:37.3094684Z >>> @rpc.functions.async_execution 2025-08-14T21:16:37.3094811Z >>> def static_async_add(to, x, y, z): 2025-08-14T21:16:37.3094974Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:37.3095088Z >>> lambda fut: fut.wait() + z 2025-08-14T21:16:37.3095185Z >>> ) 2025-08-14T21:16:37.3095265Z >>> 2025-08-14T21:16:37.3095355Z >>> @classmethod 2025-08-14T21:16:37.3095483Z >>> @rpc.functions.async_execution 2025-08-14T21:16:37.3095599Z >>> def class_async_add(cls, to, x, y, z): 2025-08-14T21:16:37.3095736Z >>> ret_fut = torch.futures.Future() 2025-08-14T21:16:37.3095882Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:37.3096032Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2025-08-14T21:16:37.3096128Z >>> ) 2025-08-14T21:16:37.3096223Z >>> return ret_fut 2025-08-14T21:16:37.3096303Z >>> 2025-08-14T21:16:37.3096430Z >>> @rpc.functions.async_execution 2025-08-14T21:16:37.3096549Z >>> def bound_async_add(self, to, x, y, z): 2025-08-14T21:16:37.3096708Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:37.3096894Z >>> lambda fut: fut.wait() + z 2025-08-14T21:16:37.3096980Z >>> ) 2025-08-14T21:16:37.3097057Z >>> 2025-08-14T21:16:37.3097157Z >>> # On worker0 2025-08-14T21:16:37.3097252Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:37.3097348Z >>> "worker1", 2025-08-14T21:16:37.3097478Z >>> AsyncExecutionClass.static_async_add, 2025-08-14T21:16:37.3097591Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-14T21:16:37.3097686Z >>> ) 2025-08-14T21:16:37.3097799Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:37.3097879Z >>> 2025-08-14T21:16:37.3097989Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:37.3098072Z >>> "worker1", 2025-08-14T21:16:37.3098195Z >>> AsyncExecutionClass.class_async_add, 2025-08-14T21:16:37.3098318Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-14T21:16:37.3098396Z >>> ) 2025-08-14T21:16:37.3098509Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:37.3098532Z 2025-08-14T21:16:37.3098689Z This decorator also works with RRef helpers, i.e., . 2025-08-14T21:16:37.3098825Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2025-08-14T21:16:37.3098991Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2025-08-14T21:16:37.3099124Z :meth:`torch.distributed.rpc.RRef.remote`. 2025-08-14T21:16:37.3099160Z 2025-08-14T21:16:37.3099274Z >>> from torch.distributed import rpc 2025-08-14T21:16:37.3099417Z >>> 2025-08-14T21:16:37.3099544Z >>> # reuse the AsyncExecutionClass class above 2025-08-14T21:16:37.3099693Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-14T21:16:37.3099907Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2025-08-14T21:16:37.3100016Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:37.3100106Z >>> 2025-08-14T21:16:37.3100250Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-14T21:16:37.3100476Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2025-08-14T21:16:37.3100614Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:37.3100694Z >>> 2025-08-14T21:16:37.3100837Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-14T21:16:37.3101070Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2025-08-14T21:16:37.3101182Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:37.3101189Z 2025-08-14T21:16:37.3101447Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.3101451Z 2025-08-14T21:16:37.3118643Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=113. 2025-08-14T21:16:37.3119709Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.3120072Z 2025-08-14T21:16:37.3120292Z Set device mapping between each RPC caller and callee pair. This 2025-08-14T21:16:37.3120762Z function can be called multiple times to incrementally add 2025-08-14T21:16:37.3121167Z device placement configurations. 2025-08-14T21:16:37.3121374Z 2025-08-14T21:16:37.3121454Z Args: 2025-08-14T21:16:37.3121665Z to (str): Callee name. 2025-08-14T21:16:37.3122010Z device_map (Dict of int, str, or torch.device): Device placement 2025-08-14T21:16:37.3122488Z mappings from this worker to the callee. This map must be 2025-08-14T21:16:37.3122868Z invertible. 2025-08-14T21:16:37.3123006Z 2025-08-14T21:16:37.3123093Z Example: 2025-08-14T21:16:37.3123321Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.3123625Z >>> # both workers 2025-08-14T21:16:37.3123851Z >>> def add(x, y): 2025-08-14T21:16:37.3124140Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2025-08-14T21:16:37.3124488Z >>> return x + y, (x + y).to(2) 2025-08-14T21:16:37.3124764Z >>> 2025-08-14T21:16:37.3124966Z >>> # on worker 0 2025-08-14T21:16:37.3125346Z >>> options = TensorPipeRpcBackendOptions( 2025-08-14T21:16:37.3125698Z >>> num_worker_threads=8, 2025-08-14T21:16:37.3125984Z >>> device_maps={"worker1": {0: 1}} 2025-08-14T21:16:37.3126328Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2025-08-14T21:16:37.3126657Z >>> ) 2025-08-14T21:16:37.3126895Z >>> options.set_device_map("worker1", {1: 2}) 2025-08-14T21:16:37.3127255Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2025-08-14T21:16:37.3127573Z >>> 2025-08-14T21:16:37.3127766Z >>> rpc.init_rpc( 2025-08-14T21:16:37.3128004Z >>> "worker0", 2025-08-14T21:16:37.3128236Z >>> rank=0, 2025-08-14T21:16:37.3128454Z >>> world_size=2, 2025-08-14T21:16:37.3128740Z >>> backend=rpc.BackendType.TENSORPIPE, 2025-08-14T21:16:37.3129081Z >>> rpc_backend_options=options 2025-08-14T21:16:37.3129357Z >>> ) 2025-08-14T21:16:37.3129556Z >>> 2025-08-14T21:16:37.3129766Z >>> x = torch.ones(2) 2025-08-14T21:16:37.3130076Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2025-08-14T21:16:37.3130520Z >>> # The first argument will be moved to cuda:1 on worker1. When 2025-08-14T21:16:37.3130989Z >>> # sending the return value back, it will follow the invert of 2025-08-14T21:16:37.3131446Z >>> # the device map, and hence will be moved back to cuda:0 and 2025-08-14T21:16:37.3131847Z >>> # cuda:1 on worker0 2025-08-14T21:16:37.3132188Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2025-08-14T21:16:37.3132582Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2025-08-14T21:16:37.3132827Z 2025-08-14T21:16:37.3133072Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.3133432Z 2025-08-14T21:16:37.3139851Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19. 2025-08-14T21:16:37.3140950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.3141324Z 2025-08-14T21:16:37.3141518Z It has the same API as ``torch.autograd.profiler.profile`` class, 2025-08-14T21:16:37.3142088Z except that it enables profiling on all threads running RPC server request callbacks. 2025-08-14T21:16:37.3142468Z 2025-08-14T21:16:37.3142745Z Context manager that manages autograd profiler state and holds a summary of results. 2025-08-14T21:16:37.3143345Z Under the hood it just records events of functions being executed in C++ and 2025-08-14T21:16:37.3143910Z exposes those events to Python. You can wrap any code into it and it will 2025-08-14T21:16:37.3144369Z only report runtime of PyTorch functions. 2025-08-14T21:16:37.3144837Z Note: profiler is thread local and is automatically propagated into the async tasks 2025-08-14T21:16:37.3145215Z 2025-08-14T21:16:37.3145294Z Args: 2025-08-14T21:16:37.3145743Z enabled (bool, optional): Setting this to False makes this context manager a no-op. 2025-08-14T21:16:37.3146226Z Default: ``True``. 2025-08-14T21:16:37.3146391Z 2025-08-14T21:16:37.3146665Z use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API. 2025-08-14T21:16:37.3147249Z Adds approximately 4us of overhead to each tensor operation. 2025-08-14T21:16:37.3147647Z Default: ``False`` 2025-08-14T21:16:37.3147808Z 2025-08-14T21:16:37.3148037Z record_shapes (bool, optional): If shapes recording is set, information 2025-08-14T21:16:37.3148583Z about input dimensions will be collected. This allows one to see which 2025-08-14T21:16:37.3149119Z dimensions have been used under the hood and further group by them 2025-08-14T21:16:37.3149645Z using prof.key_averages(group_by_input_shape=True). Please note that 2025-08-14T21:16:37.3150176Z shape recording might skew your profiling data. It is recommended to 2025-08-14T21:16:37.3150827Z use separate runs with and without shape recording to validate the timing. 2025-08-14T21:16:37.3151392Z Most likely the skew will be negligible for bottom most events (in a case 2025-08-14T21:16:37.3151939Z of nested function calls). But for higher level functions the total 2025-08-14T21:16:37.3152445Z self cpu time might be artificially increased because of the shape 2025-08-14T21:16:37.3152855Z collection. 2025-08-14T21:16:37.3152993Z 2025-08-14T21:16:37.3153265Z profile_memory (bool, optional): Whether to report memory usage, default: ``False`` 2025-08-14T21:16:37.3153638Z 2025-08-14T21:16:37.3153736Z .. warning:: 2025-08-14T21:16:37.3154065Z Enabling memory profiling incurs additional profiler overhead 2025-08-14T21:16:37.3154380Z 2025-08-14T21:16:37.3154467Z .. warning:: 2025-08-14T21:16:37.3154877Z Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`), 2025-08-14T21:16:37.3155452Z one cannot use the profiler with ``use_cuda = True`` to benchmark 2025-08-14T21:16:37.3155991Z DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading, 2025-08-14T21:16:37.3156496Z please use ``use_cuda = False`` or ``num_workers = 0``. 2025-08-14T21:16:37.3156758Z 2025-08-14T21:16:37.3156843Z Example: 2025-08-14T21:16:37.3157066Z >>> # xdoctest: +SKIP 2025-08-14T21:16:37.3157320Z >>> # On worker 0: 2025-08-14T21:16:37.3157594Z >>> import torch 2025-08-14T21:16:37.3157850Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.3158249Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:37.3158612Z >>> x, y = torch.tensor(1), torch.tensor(2) 2025-08-14T21:16:37.3158938Z >>> outer_profile_rref = rpc.remote( 2025-08-14T21:16:37.3159309Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-14T21:16:37.3159658Z ... ) 2025-08-14T21:16:37.3159886Z >>> outer_profile_rref.rpc_sync().__enter__() 2025-08-14T21:16:37.3160261Z >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y)) 2025-08-14T21:16:37.3160625Z >>> inner_profile_rref = rpc.remote( 2025-08-14T21:16:37.3160979Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-14T21:16:37.3161326Z ... ) 2025-08-14T21:16:37.3161572Z >>> inner_profile_rref.rpc_sync().__enter__() 2025-08-14T21:16:37.3161950Z >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y)) 2025-08-14T21:16:37.3162356Z >>> inner_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-14T21:16:37.3162807Z >>> outer_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-14T21:16:37.3163248Z >>> print(inner_profile_rref.rpc_sync().key_averages()) 2025-08-14T21:16:37.3163730Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:37.3164375Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-14T21:16:37.3165012Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:37.3165543Z sub 85.06% 76.275us 100.00% 89.667us 89.667us 1 2025-08-14T21:16:37.3166015Z empty 14.94% 13.392us 14.94% 13.392us 13.392us 1 2025-08-14T21:16:37.3166535Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:37.3166981Z Self CPU time total: 89.667us 2025-08-14T21:16:37.3167330Z >>> print(outer_profile_rref.rpc_sync().key_averages()) 2025-08-14T21:16:37.3167800Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:37.3168428Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-14T21:16:37.3169055Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:37.3169616Z sub 35.65% 76.275us 41.91% 89.667us 89.667us 1 2025-08-14T21:16:37.3170095Z empty 12.67% 27.101us 12.67% 27.101us 13.551us 2 2025-08-14T21:16:37.3170568Z add 51.68% 110.550us 58.09% 124.259us 124.259us 1 2025-08-14T21:16:37.3171085Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:37.3171517Z Self CPU time total: 213.926us 2025-08-14T21:16:37.3171817Z >>> rpc.shutdown() 2025-08-14T21:16:37.3171969Z 2025-08-14T21:16:37.3172070Z >>> # On worker 1: 2025-08-14T21:16:37.3172342Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:37.3172693Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:37.3173090Z >>> # wait for worker 0 to finish work, and then shutdown. 2025-08-14T21:16:37.3173448Z >>> rpc.shutdown() 2025-08-14T21:16:37.3173601Z 2025-08-14T21:16:37.3173843Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.3174206Z 2025-08-14T21:16:37.4228815Z msg = Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35. 2025-08-14T21:16:37.4229986Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.4230422Z 2025-08-14T21:16:37.4230674Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2025-08-14T21:16:37.4231309Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2025-08-14T21:16:37.4231933Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2025-08-14T21:16:37.4232465Z :class:`DTensor` according to the ``out_placements``. 2025-08-14T21:16:37.4232734Z 2025-08-14T21:16:37.4232814Z Args: 2025-08-14T21:16:37.4233133Z func (Callable): the function to be applied on each local shard of 2025-08-14T21:16:37.4233531Z :class:`DTensor` s. 2025-08-14T21:16:37.4233923Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2025-08-14T21:16:37.4234502Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2025-08-14T21:16:37.4235081Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2025-08-14T21:16:37.4235664Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2025-08-14T21:16:37.4236250Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2025-08-14T21:16:37.4236722Z mapping to the flattened ``output``. 2025-08-14T21:16:37.4237129Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2025-08-14T21:16:37.4237703Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2025-08-14T21:16:37.4238184Z should be `None`. 2025-08-14T21:16:37.4238566Z Note that the only exception is when no :class:`DTensor` argument is passed 2025-08-14T21:16:37.4239120Z in. In this case, even if `out_placements` is not `None`, the result function 2025-08-14T21:16:37.4239691Z should ignore the desired placements because the function is not running with 2025-08-14T21:16:37.4240155Z :class:`DTensor` s. 2025-08-14T21:16:37.4240514Z in_placements (Tuple[`PlacementType`, ...], optional): 2025-08-14T21:16:37.4241124Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2025-08-14T21:16:37.4241844Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2025-08-14T21:16:37.4242863Z placements of each :class:`DTensor` argument is the same as the required 2025-08-14T21:16:37.4243381Z placements or not. If the placements are not the same and 2025-08-14T21:16:37.4244022Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2025-08-14T21:16:37.4244615Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2025-08-14T21:16:37.4245208Z the required sharding placements before passing its local tensor to ``func``. 2025-08-14T21:16:37.4245791Z The only exception is when required placements are not ``None`` and the 2025-08-14T21:16:37.4246360Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2025-08-14T21:16:37.4246923Z will be skipped and the argument will be directly passed to ``func``. 2025-08-14T21:16:37.4247461Z If ``in_placements`` is ``None``, no placements examination will be performed. 2025-08-14T21:16:37.4247891Z Default: None 2025-08-14T21:16:37.4248226Z in_grad_placements (Tuple[`PlacementType`, ...], optional): 2025-08-14T21:16:37.4248704Z the placements hint of the :class:`DTensor` s gradient corresponds 2025-08-14T21:16:37.4249235Z to the flattened input DTensor. This argument is the hint that user 2025-08-14T21:16:37.4249732Z can give to :meth:`to_local` in case the gradient layout of the 2025-08-14T21:16:37.4250216Z local tensor input does not match its :class:`DTensor` input layout. 2025-08-14T21:16:37.4250733Z If not specified, we will assume the gradient layout of the local 2025-08-14T21:16:37.4251322Z tensor input remains the same as the original :class:`DTensor` input 2025-08-14T21:16:37.4251849Z and use that for gradient computation. Default: None. 2025-08-14T21:16:37.4252244Z device_mesh (:class:`DeviceMesh`, optional): 2025-08-14T21:16:37.4252705Z the device mesh that the output :class:`DTensor` s are placed on. If not 2025-08-14T21:16:37.4253281Z specified, this will be inferred from the first input :class:`DTensor`'s device 2025-08-14T21:16:37.4253734Z mesh. Default: None. 2025-08-14T21:16:37.4253924Z 2025-08-14T21:16:37.4254010Z Keyword Args: 2025-08-14T21:16:37.4254268Z redistribute_inputs (bool, optional): 2025-08-14T21:16:37.4254738Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2025-08-14T21:16:37.4255328Z their placements are different from the required input placements. If this 2025-08-14T21:16:37.4255905Z value is ``False`` and some :class:`DTensor` input has a different placement, 2025-08-14T21:16:37.4256383Z an exception will be raised. Default: False. 2025-08-14T21:16:37.4256625Z 2025-08-14T21:16:37.4256710Z Returns: 2025-08-14T21:16:37.4257081Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2025-08-14T21:16:37.4257676Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2025-08-14T21:16:37.4258016Z 2025-08-14T21:16:37.4258111Z Raises: 2025-08-14T21:16:37.4258445Z AssertionError: For any non-DTensor output, we require its corresponding 2025-08-14T21:16:37.4259041Z output placement in ``out_placements`` be None. An AssertionError will be raised 2025-08-14T21:16:37.4259501Z if this is not the case. 2025-08-14T21:16:37.4259683Z 2025-08-14T21:16:37.4259944Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2025-08-14T21:16:37.4260445Z a redistribution according to ``in_placements``. 2025-08-14T21:16:37.4260710Z 2025-08-14T21:16:37.4260792Z Example: 2025-08-14T21:16:37.4261019Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.4261359Z >>> def mm_allreduce_forward(device_mesh, W, X): 2025-08-14T21:16:37.4261721Z >>> partial_sum_tensor = torch.mm(W, X) 2025-08-14T21:16:37.4262181Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2025-08-14T21:16:37.4262619Z >>> return reduced_tensor 2025-08-14T21:16:37.4262896Z >>> 2025-08-14T21:16:37.4263135Z >>> W = torch.randn(12, 8, requires_grad=False) 2025-08-14T21:16:37.4263492Z >>> X = torch.randn(8, 16, requires_grad=False) 2025-08-14T21:16:37.4263868Z >>> Y = torch.mm(W, X) 2025-08-14T21:16:37.4264224Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2025-08-14T21:16:37.4264704Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2025-08-14T21:16:37.4265065Z >>> 2025-08-14T21:16:37.4265436Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion 2025-08-14T21:16:37.4266023Z >>> local_mm_allreduce_forward = local_map( 2025-08-14T21:16:37.4266343Z >>> mm_allreduce_forward, 2025-08-14T21:16:37.4266649Z >>> out_placements=[Replicate()], 2025-08-14T21:16:37.4266985Z >>> in_placements=[col_wise, row_wise], 2025-08-14T21:16:37.4267319Z >>> device_mesh=device_mesh, 2025-08-14T21:16:37.4267592Z >>> ) 2025-08-14T21:16:37.4267791Z >>> 2025-08-14T21:16:37.4268008Z >>> W_dt = distribute_tensor( 2025-08-14T21:16:37.4268290Z ... W, device_mesh, (col_wise) 2025-08-14T21:16:37.4268598Z ... ) # col-wisely sharded W tensor 2025-08-14T21:16:37.4268911Z >>> X_dt = distribute_tensor( 2025-08-14T21:16:37.4269190Z ... X, device_mesh, (row_wise) 2025-08-14T21:16:37.4269499Z ... ) # row-wisely sharded X tensor 2025-08-14T21:16:37.4269818Z >>> Y_dt = local_mm_allreduce_forward( 2025-08-14T21:16:37.4270119Z ... device_mesh, W_dt, X_dt 2025-08-14T21:16:37.4270495Z ... ) # apply local_mm_allreduce_forward to DTensors 2025-08-14T21:16:37.4270770Z 2025-08-14T21:16:37.4270989Z .. note:: This API is currently experimental and subject to change 2025-08-14T21:16:37.4271279Z 2025-08-14T21:16:37.4271535Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.4271885Z 2025-08-14T21:16:37.4272611Z msg = Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25. 2025-08-14T21:16:37.4273644Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.4274016Z 2025-08-14T21:16:37.4274278Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2025-08-14T21:16:37.4274890Z strategies for an operator when the tensor inputs and outputs are DTensor. 2025-08-14T21:16:37.4275472Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2025-08-14T21:16:37.4276241Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2025-08-14T21:16:37.4276861Z when users would like to overwrite default sharding strategies of existing operators. 2025-08-14T21:16:37.4277236Z 2025-08-14T21:16:37.4277330Z Args: 2025-08-14T21:16:37.4277559Z op (Union[OpOverload, List[OpOverload]]): 2025-08-14T21:16:37.4277977Z An op or a list of ops to register the customized sharding function. 2025-08-14T21:16:37.4278271Z 2025-08-14T21:16:37.4278368Z Returns: 2025-08-14T21:16:37.4278747Z A function decorator which can be used to wrap a function that defines the sharding 2025-08-14T21:16:37.4279363Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2025-08-14T21:16:37.4279998Z registered to DTensor and will override the default sharding strategy if DTensor has 2025-08-14T21:16:37.4280668Z already implemented the operator. The customized sharding function takes the same inputs 2025-08-14T21:16:37.4281293Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2025-08-14T21:16:37.4281903Z replaced by a tensor-like object that DTensor uses internally). The function should 2025-08-14T21:16:37.4282546Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2025-08-14T21:16:37.4283034Z corresponding input placements. 2025-08-14T21:16:37.4283237Z 2025-08-14T21:16:37.4283321Z Example: 2025-08-14T21:16:37.4283549Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:37.4283899Z >>> @register_sharding(aten._softmax.default) 2025-08-14T21:16:37.4284391Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2025-08-14T21:16:37.4284794Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2025-08-14T21:16:37.4285156Z >>> acceptable_shardings = [] 2025-08-14T21:16:37.4285436Z >>> 2025-08-14T21:16:37.4285724Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2025-08-14T21:16:37.4286155Z >>> acceptable_shardings.append(all_replicate) 2025-08-14T21:16:37.4286487Z >>> 2025-08-14T21:16:37.4286705Z >>> for sharding_dim in range(x.ndim): 2025-08-14T21:16:37.4287038Z >>> if sharding_dim != softmax_dim: 2025-08-14T21:16:37.4287357Z >>> all_sharded = ( 2025-08-14T21:16:37.4287643Z >>> [Shard(sharding_dim)], 2025-08-14T21:16:37.4287982Z >>> [Shard(sharding_dim), None, None], 2025-08-14T21:16:37.4288299Z >>> ) 2025-08-14T21:16:37.4288575Z >>> acceptable_shardings.append(all_sharded) 2025-08-14T21:16:37.4288910Z >>> 2025-08-14T21:16:37.4289139Z >>> return acceptable_shardings 2025-08-14T21:16:37.4289345Z 2025-08-14T21:16:37.4289548Z .. note:: This API is currently experimental and subject to change 2025-08-14T21:16:37.4289839Z 2025-08-14T21:16:37.4290081Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.4290493Z 2025-08-14T21:16:37.4450217Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=428. 2025-08-14T21:16:37.4451328Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.4451691Z 2025-08-14T21:16:37.4452072Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2025-08-14T21:16:37.4452860Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2025-08-14T21:16:37.4453275Z 2025-08-14T21:16:37.4453369Z Keyword Args: 2025-08-14T21:16:37.4453701Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:37.4454390Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-14T21:16:37.4455680Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-14T21:16:37.4456256Z as a placeholder. default: None. 2025-08-14T21:16:37.4456696Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:37.4457387Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:37.4458227Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-14T21:16:37.4458844Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-14T21:16:37.4459444Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-14T21:16:37.4460011Z default: None 2025-08-14T21:16:37.4460304Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-14T21:16:37.4460920Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:37.4461533Z have the desired DTensor layouts. default: None. 2025-08-14T21:16:37.4461997Z use_local_output (bool, optional): 2025-08-14T21:16:37.4462693Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-14T21:16:37.4463563Z Returns: 2025-08-14T21:16:37.4463984Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2025-08-14T21:16:37.4464395Z 2025-08-14T21:16:37.4464488Z Example:: 2025-08-14T21:16:37.4464713Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:37.4465352Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2025-08-14T21:16:37.4466025Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-14T21:16:37.4466405Z >>> ... 2025-08-14T21:16:37.4466822Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-14T21:16:37.4467348Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-14T21:16:37.4467670Z >>> 2025-08-14T21:16:37.4468116Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2025-08-14T21:16:37.4468693Z >>> # and then redistributed to Replicated DTensor. 2025-08-14T21:16:37.4469032Z >>> parallelize_module( 2025-08-14T21:16:37.4469334Z >>> block, # this can be a submodule or module 2025-08-14T21:16:37.4469658Z >>> tp_mesh, 2025-08-14T21:16:37.4469895Z >>> parallelize_plan={ 2025-08-14T21:16:37.4470195Z >>> "attn": PrepareModuleInput( 2025-08-14T21:16:37.4470550Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-14T21:16:37.4470945Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2025-08-14T21:16:37.4471306Z >>> ), 2025-08-14T21:16:37.4471533Z >>> } 2025-08-14T21:16:37.4471748Z >>> ) 2025-08-14T21:16:37.4471915Z 2025-08-14T21:16:37.4472158Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.4472558Z 2025-08-14T21:16:37.4473224Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=597. 2025-08-14T21:16:37.4474213Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.4474575Z 2025-08-14T21:16:37.4474964Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2025-08-14T21:16:37.4475779Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2025-08-14T21:16:37.4476380Z 2025-08-14T21:16:37.4476469Z Keyword Args: 2025-08-14T21:16:37.4476771Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:37.4477369Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-14T21:16:37.4478168Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-14T21:16:37.4478791Z ``None`` need to be specified as a placeholder. 2025-08-14T21:16:37.4479228Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:37.4479895Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-14T21:16:37.4480481Z have the desired DTensor layouts. 2025-08-14T21:16:37.4480812Z use_local_output (bool, optional): 2025-08-14T21:16:37.4481374Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-14T21:16:37.4481912Z Returns: 2025-08-14T21:16:37.4482299Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2025-08-14T21:16:37.4482699Z 2025-08-14T21:16:37.4482791Z Example:: 2025-08-14T21:16:37.4483016Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:37.4483506Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2025-08-14T21:16:37.4484116Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-14T21:16:37.4484493Z >>> ... 2025-08-14T21:16:37.4484899Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-14T21:16:37.4485428Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-14T21:16:37.4485737Z >>> 2025-08-14T21:16:37.4486371Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2025-08-14T21:16:37.4486995Z >>> # and then redistributed to Sharded DTensor. 2025-08-14T21:16:37.4487337Z >>> parallelize_module( 2025-08-14T21:16:37.4487643Z >>> block, # this can be a submodule or module 2025-08-14T21:16:37.4487954Z >>> tp_mesh, 2025-08-14T21:16:37.4488239Z >>> parallelize_plan = PrepareModuleOutput( 2025-08-14T21:16:37.4488596Z >>> output_layouts=Replicate(), 2025-08-14T21:16:37.4488923Z >>> desired_output_layouts=Shard(0) 2025-08-14T21:16:37.4489237Z >>> ) 2025-08-14T21:16:37.4489452Z >>> ) 2025-08-14T21:16:37.4489564Z 2025-08-14T21:16:37.4489821Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.4490171Z 2025-08-14T21:16:37.4490832Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=705. 2025-08-14T21:16:37.4491849Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.4492222Z 2025-08-14T21:16:37.4492632Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module 2025-08-14T21:16:37.4493552Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution 2025-08-14T21:16:37.4494500Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of 2025-08-14T21:16:37.4495177Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`. 2025-08-14T21:16:37.4495494Z 2025-08-14T21:16:37.4495580Z Keyword Args: 2025-08-14T21:16:37.4495930Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:37.4496536Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-14T21:16:37.4497312Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-14T21:16:37.4497885Z as a placeholder. default: None. 2025-08-14T21:16:37.4498311Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:37.4499010Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:37.4499867Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-14T21:16:37.4500491Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-14T21:16:37.4501079Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-14T21:16:37.4501644Z default: None 2025-08-14T21:16:37.4501960Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-14T21:16:37.4502585Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:37.4503191Z have the desired DTensor layouts. default: None. 2025-08-14T21:16:37.4503558Z use_local_input (bool, optional): 2025-08-14T21:16:37.4504113Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-14T21:16:37.4504723Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:37.4505321Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-14T21:16:37.4506467Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-14T21:16:37.4507087Z ``None`` need to be specified as a placeholder. 2025-08-14T21:16:37.4507515Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:37.4508260Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-14T21:16:37.4508866Z have the desired DTensor layouts. 2025-08-14T21:16:37.4509184Z use_local_output (bool, optional): 2025-08-14T21:16:37.4509742Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-14T21:16:37.4510290Z Returns: 2025-08-14T21:16:37.4510761Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs. 2025-08-14T21:16:37.4511225Z 2025-08-14T21:16:37.4511313Z Example:: 2025-08-14T21:16:37.4511534Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:37.4512061Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput 2025-08-14T21:16:37.4512681Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-14T21:16:37.4513058Z >>> ... 2025-08-14T21:16:37.4513478Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-14T21:16:37.4514011Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-14T21:16:37.4514313Z >>> 2025-08-14T21:16:37.4514748Z >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor 2025-08-14T21:16:37.4515525Z >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated 2025-08-14T21:16:37.4516238Z >>> # as Replicated DTensor and then redistributed to Sharded DTensor. 2025-08-14T21:16:37.4516655Z >>> parallelize_module( 2025-08-14T21:16:37.4516967Z >>> block, # this can be a submodule or module 2025-08-14T21:16:37.4517294Z >>> tp_mesh, 2025-08-14T21:16:37.4517529Z >>> parallelize_plan={ 2025-08-14T21:16:37.4517842Z >>> "attn": PrepareModuleInputOutput( 2025-08-14T21:16:37.4518213Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-14T21:16:37.4518614Z >>> desired_input_layouts=(Replicate(), None, None, ...), 2025-08-14T21:16:37.4519011Z >>> output_layouts=Replicate(), 2025-08-14T21:16:37.4519354Z >>> desired_output_layouts=Shard(0), 2025-08-14T21:16:37.4519655Z >>> ), 2025-08-14T21:16:37.4519877Z >>> } 2025-08-14T21:16:37.4520089Z >>> ) 2025-08-14T21:16:37.4520204Z 2025-08-14T21:16:37.4520445Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.4520814Z 2025-08-14T21:16:37.5027274Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56. 2025-08-14T21:16:37.5028357Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.5028726Z 2025-08-14T21:16:37.5029019Z Creates a multivariate normal distribution with covariance matrix having a low-rank form 2025-08-14T21:16:37.5029626Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`:: 2025-08-14T21:16:37.5029913Z 2025-08-14T21:16:37.5030084Z covariance_matrix = cov_factor @ cov_factor.T + cov_diag 2025-08-14T21:16:37.5030369Z 2025-08-14T21:16:37.5030453Z Example: 2025-08-14T21:16:37.5030710Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-14T21:16:37.5031095Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:37.5031447Z >>> m = LowRankMultivariateNormal( 2025-08-14T21:16:37.5031845Z ... torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2) 2025-08-14T21:16:37.5032215Z ... ) 2025-08-14T21:16:37.5032598Z >>> m.sample() # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]` 2025-08-14T21:16:37.5033090Z tensor([-0.2102, -0.5429]) 2025-08-14T21:16:37.5033265Z 2025-08-14T21:16:37.5033356Z Args: 2025-08-14T21:16:37.5033699Z loc (Tensor): mean of the distribution with shape `batch_shape + event_shape` 2025-08-14T21:16:37.5034467Z cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape 2025-08-14T21:16:37.5034957Z `batch_shape + event_shape + (rank,)` 2025-08-14T21:16:37.5035431Z cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape 2025-08-14T21:16:37.5035890Z `batch_shape + event_shape` 2025-08-14T21:16:37.5036101Z 2025-08-14T21:16:37.5036183Z Note: 2025-08-14T21:16:37.5036556Z The computation for determinant and inverse of covariance matrix is avoided when 2025-08-14T21:16:37.5037167Z `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity 2025-08-14T21:16:37.5037714Z `_ and 2025-08-14T21:16:37.5038305Z `matrix determinant lemma `_. 2025-08-14T21:16:37.5038945Z Thanks to these formulas, we just need to compute the determinant and inverse of 2025-08-14T21:16:37.5039408Z the small size "capacitance" matrix:: 2025-08-14T21:16:37.5039635Z 2025-08-14T21:16:37.5039816Z capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor 2025-08-14T21:16:37.5040111Z 2025-08-14T21:16:37.5040350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.5040696Z 2025-08-14T21:16:37.5045964Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=15. 2025-08-14T21:16:37.5047079Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.5047439Z 2025-08-14T21:16:37.5047653Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2025-08-14T21:16:37.5048217Z distribution where all component are from different parameterizations of 2025-08-14T21:16:37.5048774Z the same distribution type. It is parameterized by a `Categorical` 2025-08-14T21:16:37.5049285Z "selecting distribution" (over `k` component) and a component 2025-08-14T21:16:37.5049776Z distribution, i.e., a `Distribution` with a rightmost batch shape 2025-08-14T21:16:37.5050241Z (equal to `[k]`) which indexes each (batch of) component. 2025-08-14T21:16:37.5050495Z 2025-08-14T21:16:37.5050599Z Examples:: 2025-08-14T21:16:37.5050717Z 2025-08-14T21:16:37.5050828Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:37.5051242Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2025-08-14T21:16:37.5065507Z >>> # weighted normal distributions 2025-08-14T21:16:37.5066135Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-14T21:16:37.5066503Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2025-08-14T21:16:37.5066869Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-14T21:16:37.5067090Z 2025-08-14T21:16:37.5067283Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2025-08-14T21:16:37.5067718Z >>> # weighted bivariate normal distributions 2025-08-14T21:16:37.5068068Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-14T21:16:37.5068401Z >>> comp = D.Independent(D.Normal( 2025-08-14T21:16:37.5068722Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2025-08-14T21:16:37.5069072Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-14T21:16:37.5069285Z 2025-08-14T21:16:37.5069473Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2025-08-14T21:16:37.5069947Z >>> # consisting of 5 random weighted bivariate normal distributions 2025-08-14T21:16:37.5070369Z >>> mix = D.Categorical(torch.rand(3,5)) 2025-08-14T21:16:37.5070701Z >>> comp = D.Independent(D.Normal( 2025-08-14T21:16:37.5071026Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2025-08-14T21:16:37.5071379Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-14T21:16:37.5071602Z 2025-08-14T21:16:37.5071681Z Args: 2025-08-14T21:16:37.5071994Z mixture_distribution: `torch.distributions.Categorical`-like 2025-08-14T21:16:37.5072477Z instance. Manages the probability of selecting component. 2025-08-14T21:16:37.5073064Z The number of categories must match the rightmost batch 2025-08-14T21:16:37.5073526Z dimension of the `component_distribution`. Must have either 2025-08-14T21:16:37.5073948Z scalar `batch_shape` or `batch_shape` matching 2025-08-14T21:16:37.5074328Z `component_distribution.batch_shape[:-1]` 2025-08-14T21:16:37.5074782Z component_distribution: `torch.distributions.Distribution`-like 2025-08-14T21:16:37.5075286Z instance. Right-most batch dimension indexes component. 2025-08-14T21:16:37.5075568Z 2025-08-14T21:16:37.5075809Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.5076373Z 2025-08-14T21:16:37.5158711Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=120. 2025-08-14T21:16:37.5159675Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.5160038Z 2025-08-14T21:16:37.5160237Z Creates a RelaxedBernoulli distribution, parametrized by 2025-08-14T21:16:37.5160713Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2025-08-14T21:16:37.5161217Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2025-08-14T21:16:37.5161721Z so the values are in (0, 1), and has reparametrizable samples. 2025-08-14T21:16:37.5162118Z 2025-08-14T21:16:37.5162236Z Example:: 2025-08-14T21:16:37.5162352Z 2025-08-14T21:16:37.5162555Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:37.5162928Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2025-08-14T21:16:37.5163290Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2025-08-14T21:16:37.5163603Z >>> m.sample() 2025-08-14T21:16:37.5163862Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2025-08-14T21:16:37.5164077Z 2025-08-14T21:16:37.5164173Z Args: 2025-08-14T21:16:37.5164422Z temperature (Tensor): relaxation temperature 2025-08-14T21:16:37.5164823Z probs (Number, Tensor): the probability of sampling `1` 2025-08-14T21:16:37.5165260Z logits (Number, Tensor): the log-odds of sampling `1` 2025-08-14T21:16:37.5165518Z 2025-08-14T21:16:37.5165769Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.5166119Z 2025-08-14T21:16:37.5172934Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=109. 2025-08-14T21:16:37.5173950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.5174326Z 2025-08-14T21:16:37.5174534Z Creates a RelaxedOneHotCategorical distribution parametrized by 2025-08-14T21:16:37.5175044Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2025-08-14T21:16:37.5175561Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2025-08-14T21:16:37.5176219Z its samples are on simplex, and are reparametrizable. 2025-08-14T21:16:37.5176499Z 2025-08-14T21:16:37.5176597Z Example:: 2025-08-14T21:16:37.5176715Z 2025-08-14T21:16:37.5176867Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:37.5177258Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2025-08-14T21:16:37.5177654Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2025-08-14T21:16:37.5177988Z >>> m.sample() 2025-08-14T21:16:37.5178230Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2025-08-14T21:16:37.5178465Z 2025-08-14T21:16:37.5178544Z Args: 2025-08-14T21:16:37.5178791Z temperature (Tensor): relaxation temperature 2025-08-14T21:16:37.5179154Z probs (Tensor): event probabilities 2025-08-14T21:16:37.5179542Z logits (Tensor): unnormalized log probability for each event 2025-08-14T21:16:37.5179840Z 2025-08-14T21:16:37.5180078Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.5180428Z 2025-08-14T21:16:37.8864170Z msg = Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2025-08-14T21:16:37.8865496Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.8866266Z Return a new dict with new, potentially nested, key value pair 2025-08-14T21:16:37.8866585Z 2025-08-14T21:16:37.8866676Z >>> purchase = { 2025-08-14T21:16:37.8866969Z ... "name": "Alice", 2025-08-14T21:16:37.8867362Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-14T21:16:37.8867922Z ... "credit card": "5555-1234-1234-1234", 2025-08-14T21:16:37.8868513Z ... } 2025-08-14T21:16:37.8868851Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2025-08-14T21:16:37.8869260Z {'credit card': '5555-1234-1234-1234', 2025-08-14T21:16:37.8869564Z 'name': 'Alice', 2025-08-14T21:16:37.8869887Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2025-08-14T21:16:37.8870327Z 2025-08-14T21:16:37.8870776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.8871494Z 2025-08-14T21:16:37.8872132Z msg = Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261. 2025-08-14T21:16:37.8873202Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.8873778Z Update value in a (potentially) nested dictionary 2025-08-14T21:16:37.8874024Z 2025-08-14T21:16:37.8874107Z inputs: 2025-08-14T21:16:37.8874349Z d - dictionary on which to operate 2025-08-14T21:16:37.8874773Z keys - list or tuple giving the location of the value to be changed in d 2025-08-14T21:16:37.8875211Z func - function to operate on that value 2025-08-14T21:16:37.8875441Z 2025-08-14T21:16:37.8875624Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2025-08-14T21:16:37.8876339Z original dictionary with v replaced by func(v), but does not mutate the 2025-08-14T21:16:37.8876765Z original dictionary. 2025-08-14T21:16:37.8876943Z 2025-08-14T21:16:37.8877145Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2025-08-14T21:16:37.8877671Z specified by the keys, with the innermost value set to func(default). 2025-08-14T21:16:37.8877991Z 2025-08-14T21:16:37.8878101Z >>> inc = lambda x: x + 1 2025-08-14T21:16:37.8878379Z >>> update_in({"a": 0}, ["a"], inc) 2025-08-14T21:16:37.8878669Z {'a': 1} 2025-08-14T21:16:37.8878791Z 2025-08-14T21:16:37.8878898Z >>> transaction = { 2025-08-14T21:16:37.8879146Z ... "name": "Alice", 2025-08-14T21:16:37.8879506Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-14T21:16:37.8879923Z ... "credit card": "5555-1234-1234-1234", 2025-08-14T21:16:37.8880235Z ... } 2025-08-14T21:16:37.8880554Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2025-08-14T21:16:37.8880991Z {'credit card': '5555-1234-1234-1234', 2025-08-14T21:16:37.8881290Z 'name': 'Alice', 2025-08-14T21:16:37.8881593Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2025-08-14T21:16:37.8881871Z 2025-08-14T21:16:37.8881986Z >>> # updating a value when k0 is not in d 2025-08-14T21:16:37.8882344Z >>> update_in({}, [1, 2, 3], str, default="bar") 2025-08-14T21:16:37.8882659Z {1: {2: {3: 'bar'}}} 2025-08-14T21:16:37.8882933Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2025-08-14T21:16:37.8883251Z {1: 'foo', 2: {3: {4: 1}}} 2025-08-14T21:16:37.8883511Z 2025-08-14T21:16:37.8883855Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.8884219Z 2025-08-14T21:16:37.8884861Z msg = Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320. 2025-08-14T21:16:37.8885948Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.8886478Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2025-08-14T21:16:37.8886741Z 2025-08-14T21:16:37.8886931Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2025-08-14T21:16:37.8887410Z ``no_default`` is specified, then it raises KeyError or IndexError. 2025-08-14T21:16:37.8887731Z 2025-08-14T21:16:37.8887936Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2025-08-14T21:16:37.8888383Z structures such as dictionaries and lists. 2025-08-14T21:16:37.8888613Z 2025-08-14T21:16:37.8888705Z >>> transaction = { 2025-08-14T21:16:37.8888963Z ... "name": "Alice", 2025-08-14T21:16:37.8889319Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-14T21:16:37.8889734Z ... "credit card": "5555-1234-1234-1234", 2025-08-14T21:16:37.8890027Z ... } 2025-08-14T21:16:37.8890285Z >>> get_in(["purchase", "items", 0], transaction) 2025-08-14T21:16:37.8890608Z 'Apple' 2025-08-14T21:16:37.8890847Z >>> get_in(["name"], transaction) 2025-08-14T21:16:37.8891133Z 'Alice' 2025-08-14T21:16:37.8891367Z >>> get_in(["purchase", "total"], transaction) 2025-08-14T21:16:37.8891745Z >>> get_in(["purchase", "items", "apple"], transaction) 2025-08-14T21:16:37.8892174Z >>> get_in(["purchase", "items", 10], transaction) 2025-08-14T21:16:37.8892531Z >>> get_in(["purchase", "total"], transaction, 0) 2025-08-14T21:16:37.8892901Z 0 2025-08-14T21:16:37.8893124Z >>> get_in(["y"], {}, no_default=True) 2025-08-14T21:16:37.8893432Z Traceback (most recent call last): 2025-08-14T21:16:37.8893727Z ... 2025-08-14T21:16:37.8893934Z KeyError: 'y' 2025-08-14T21:16:37.8894068Z 2025-08-14T21:16:37.8894166Z See Also: 2025-08-14T21:16:37.8894372Z itertoolz.get 2025-08-14T21:16:37.8894626Z operator.getitem 2025-08-14T21:16:37.8894869Z 2025-08-14T21:16:37.8895215Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.8895579Z 2025-08-14T21:16:37.8896203Z msg = Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373. 2025-08-14T21:16:37.8897176Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:37.8897655Z Group a collection by a key function 2025-08-14T21:16:37.8897859Z 2025-08-14T21:16:37.8898020Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2025-08-14T21:16:37.8898410Z >>> groupby(len, names) # doctest: +SKIP 2025-08-14T21:16:37.8898790Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2025-08-14T21:16:37.8899054Z 2025-08-14T21:16:37.8899155Z >>> iseven = lambda x: x % 2 == 0 2025-08-14T21:16:37.8899525Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2025-08-14T21:16:37.8899906Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2025-08-14T21:16:37.8900121Z 2025-08-14T21:16:37.8900267Z Non-callable keys imply grouping on a member. 2025-08-14T21:16:37.8900504Z 2025-08-14T21:16:37.8900587Z >>> groupby( 2025-08-14T21:16:37.8900808Z ... "gender", 2025-08-14T21:16:37.8901037Z ... [ 2025-08-14T21:16:37.8901271Z ... {"name": "Alice", "gender": "F"}, 2025-08-14T21:16:37.8901614Z ... {"name": "Bob", "gender": "M"}, 2025-08-14T21:16:37.8901954Z ... {"name": "Charlie", "gender": "M"}, 2025-08-14T21:16:37.8902254Z ... ], 2025-08-14T21:16:37.8902476Z ... ) # doctest:+SKIP 2025-08-14T21:16:37.8902754Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2025-08-14T21:16:37.8903076Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2025-08-14T21:16:37.8903382Z {'gender': 'M', 'name': 'Charlie'}]} 2025-08-14T21:16:37.8903606Z 2025-08-14T21:16:37.8903740Z Not to be confused with ``itertools.groupby`` 2025-08-14T21:16:37.8903976Z 2025-08-14T21:16:37.8904070Z See Also: 2025-08-14T21:16:37.8904335Z countby 2025-08-14T21:16:37.8904548Z 2025-08-14T21:16:37.8904906Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:37.8905259Z 2025-08-14T21:16:38.1629433Z msg = Cannot scrape callname=calculate_gain in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py line=142. 2025-08-14T21:16:38.1630313Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.1630917Z Return the recommended gain value for the given nonlinearity function. 2025-08-14T21:16:38.1631247Z 2025-08-14T21:16:38.1631366Z The values are as follows: 2025-08-14T21:16:38.1631546Z 2025-08-14T21:16:38.1631678Z ================= ==================================================== 2025-08-14T21:16:38.1632008Z nonlinearity gain 2025-08-14T21:16:38.1632294Z ================= ==================================================== 2025-08-14T21:16:38.1632631Z Linear / Identity :math:`1` 2025-08-14T21:16:38.1632903Z Conv{1,2,3}D :math:`1` 2025-08-14T21:16:38.1633171Z Sigmoid :math:`1` 2025-08-14T21:16:38.1633450Z Tanh :math:`\frac{5}{3}` 2025-08-14T21:16:38.1633747Z ReLU :math:`\sqrt{2}` 2025-08-14T21:16:38.1634127Z Leaky Relu :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}` 2025-08-14T21:16:38.1634823Z SELU :math:`\frac{3}{4}` 2025-08-14T21:16:38.1635232Z ================= ==================================================== 2025-08-14T21:16:38.1635460Z 2025-08-14T21:16:38.1635595Z .. warning:: 2025-08-14T21:16:38.1635907Z In order to implement `Self-Normalizing Neural Networks`_ , 2025-08-14T21:16:38.1636438Z you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``. 2025-08-14T21:16:38.1636957Z This gives the initial weights a variance of ``1 / N``, 2025-08-14T21:16:38.1637444Z which is necessary to induce a stable fixed point in the forward pass. 2025-08-14T21:16:38.1637996Z In contrast, the default gain for ``SELU`` sacrifices the normalization 2025-08-14T21:16:38.1638514Z effect for more stable gradient flow in rectangular layers. 2025-08-14T21:16:38.1638800Z 2025-08-14T21:16:38.1638898Z Args: 2025-08-14T21:16:38.1639202Z nonlinearity: the non-linear function (`nn.functional` name) 2025-08-14T21:16:38.1639682Z param: optional parameter for the non-linear function 2025-08-14T21:16:38.1639953Z 2025-08-14T21:16:38.1640056Z Examples: 2025-08-14T21:16:38.1640294Z >>> gain = nn.init.calculate_gain( 2025-08-14T21:16:38.1640613Z ... "leaky_relu", 0.2 2025-08-14T21:16:38.1640934Z ... ) # leaky_relu with negative_slope=0.2 2025-08-14T21:16:38.1641162Z 2025-08-14T21:16:38.1641642Z .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html 2025-08-14T21:16:38.1642288Z 2025-08-14T21:16:38.1642650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.1643004Z 2025-08-14T21:16:38.4150762Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=603. 2025-08-14T21:16:38.4151903Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.4152451Z Applies Batch Normalization over a N-Dimensional input. 2025-08-14T21:16:38.4152746Z 2025-08-14T21:16:38.4153074Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2025-08-14T21:16:38.4153735Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2025-08-14T21:16:38.4154343Z Internal Covariate Shift `__ . 2025-08-14T21:16:38.4154721Z 2025-08-14T21:16:38.4154957Z .. math:: 2025-08-14T21:16:38.4155194Z 2025-08-14T21:16:38.4155759Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2025-08-14T21:16:38.4156102Z 2025-08-14T21:16:38.4156321Z The mean and standard-deviation are calculated per-dimension over all 2025-08-14T21:16:38.4156881Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2025-08-14T21:16:38.4157451Z are learnable parameter vectors of size `C` (where `C` is the input size). 2025-08-14T21:16:38.4157963Z By default, the elements of :math:`\gamma` are sampled from 2025-08-14T21:16:38.4158445Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2025-08-14T21:16:38.4159007Z The standard-deviation is calculated via the biased estimator, equivalent to 2025-08-14T21:16:38.4159470Z `torch.var(input, unbiased=False)`. 2025-08-14T21:16:38.4159694Z 2025-08-14T21:16:38.4159920Z Also by default, during training this layer keeps running estimates of its 2025-08-14T21:16:38.4160487Z computed mean and variance, which are then used for normalization during 2025-08-14T21:16:38.4161065Z evaluation. The running estimates are kept with a default :attr:`momentum` 2025-08-14T21:16:38.4161487Z of 0.1. 2025-08-14T21:16:38.4161615Z 2025-08-14T21:16:38.4161827Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2025-08-14T21:16:38.4162369Z keep running estimates, and batch statistics are instead used during 2025-08-14T21:16:38.4162854Z evaluation time as well. 2025-08-14T21:16:38.4163102Z 2025-08-14T21:16:38.4163188Z .. note:: 2025-08-14T21:16:38.4163528Z This :attr:`momentum` argument is different from one used in optimizer 2025-08-14T21:16:38.4164075Z classes and the conventional notion of momentum. Mathematically, the 2025-08-14T21:16:38.4164526Z update rule for running statistics here is 2025-08-14T21:16:38.4165024Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2025-08-14T21:16:38.4165603Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2025-08-14T21:16:38.4166016Z new observed value. 2025-08-14T21:16:38.4166186Z 2025-08-14T21:16:38.4166474Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2025-08-14T21:16:38.4167118Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2025-08-14T21:16:38.4167650Z Normalization or Spatio-temporal Batch Normalization. 2025-08-14T21:16:38.4167928Z 2025-08-14T21:16:38.4168067Z Currently :class:`SyncBatchNorm` only supports 2025-08-14T21:16:38.4168591Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2025-08-14T21:16:38.4169190Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2025-08-14T21:16:38.4169711Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2025-08-14T21:16:38.4170103Z Network with DDP. 2025-08-14T21:16:38.4170265Z 2025-08-14T21:16:38.4170347Z Args: 2025-08-14T21:16:38.4170631Z num_features: :math:`C` from an expected input of size 2025-08-14T21:16:38.4170984Z :math:`(N, C, +)` 2025-08-14T21:16:38.4171344Z eps: a value added to the denominator for numerical stability. 2025-08-14T21:16:38.4171735Z Default: ``1e-5`` 2025-08-14T21:16:38.4172097Z momentum: the value used for the running_mean and running_var 2025-08-14T21:16:38.4172591Z computation. Can be set to ``None`` for cumulative moving average 2025-08-14T21:16:38.4173031Z (i.e. simple average). Default: 0.1 2025-08-14T21:16:38.4173455Z affine: a boolean value that when set to ``True``, this module has 2025-08-14T21:16:38.4173895Z learnable affine parameters. Default: ``True`` 2025-08-14T21:16:38.4174355Z track_running_stats: a boolean value that when set to ``True``, this 2025-08-14T21:16:38.4174897Z module tracks the running mean and variance, and when set to ``False``, 2025-08-14T21:16:38.4175525Z this module does not track such statistics, and initializes statistics 2025-08-14T21:16:38.4176256Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2025-08-14T21:16:38.4176789Z When these buffers are ``None``, this module always uses batch statistics. 2025-08-14T21:16:38.4177275Z in both training and eval modes. Default: ``True`` 2025-08-14T21:16:38.4177759Z process_group: synchronization of stats happen within each process group 2025-08-14T21:16:38.4178338Z individually. Default behavior is synchronization across the whole 2025-08-14T21:16:38.4178757Z world 2025-08-14T21:16:38.4178888Z 2025-08-14T21:16:38.4178981Z Shape: 2025-08-14T21:16:38.4179196Z - Input: :math:`(N, C, +)` 2025-08-14T21:16:38.4179535Z - Output: :math:`(N, C, +)` (same shape as input) 2025-08-14T21:16:38.4179778Z 2025-08-14T21:16:38.4179875Z .. note:: 2025-08-14T21:16:38.4180227Z Synchronization of batchnorm statistics occurs only while training, i.e. 2025-08-14T21:16:38.4180785Z synchronization is disabled when ``model.eval()`` is set or if 2025-08-14T21:16:38.4181224Z ``self.training`` is otherwise ``False``. 2025-08-14T21:16:38.4181452Z 2025-08-14T21:16:38.4181555Z Examples:: 2025-08-14T21:16:38.4181685Z 2025-08-14T21:16:38.4181785Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.4182135Z >>> # With Learnable Parameters 2025-08-14T21:16:38.4182504Z >>> m = nn.SyncBatchNorm(100) 2025-08-14T21:16:38.4182816Z >>> # creating process group (optional) 2025-08-14T21:16:38.4183183Z >>> # ranks is a list of int identifying rank ids. 2025-08-14T21:16:38.4183530Z >>> ranks = list(range(8)) 2025-08-14T21:16:38.4183814Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-14T21:16:38.4184171Z >>> # Note: every rank calls into new_group for every 2025-08-14T21:16:38.4184570Z >>> # process group created, even if that rank is not 2025-08-14T21:16:38.4184917Z >>> # part of the group. 2025-08-14T21:16:38.4185347Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-14T21:16:38.4185982Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-14T21:16:38.4186412Z >>> # Without Learnable Parameters 2025-08-14T21:16:38.4186818Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2025-08-14T21:16:38.4187261Z >>> input = torch.randn(20, 100, 35, 45, 10) 2025-08-14T21:16:38.4187594Z >>> output = m(input) 2025-08-14T21:16:38.4187768Z 2025-08-14T21:16:38.4187880Z >>> # network is nn.BatchNorm layer 2025-08-14T21:16:38.4188368Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2025-08-14T21:16:38.4188916Z >>> # only single gpu per process is currently supported 2025-08-14T21:16:38.4189402Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2025-08-14T21:16:38.4189838Z >>> sync_bn_network, 2025-08-14T21:16:38.4190191Z >>> device_ids=[args.local_rank], 2025-08-14T21:16:38.4190563Z >>> output_device=args.local_rank) 2025-08-14T21:16:38.4190876Z 2025-08-14T21:16:38.4191236Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.4191602Z 2025-08-14T21:16:38.4192226Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=830. 2025-08-14T21:16:38.4193212Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.4193858Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2025-08-14T21:16:38.4194279Z 2025-08-14T21:16:38.4194364Z Args: 2025-08-14T21:16:38.4194730Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2025-08-14T21:16:38.4195403Z process_group (optional): process group to scope synchronization, 2025-08-14T21:16:38.4195823Z default is the whole world 2025-08-14T21:16:38.4196052Z 2025-08-14T21:16:38.4196135Z Returns: 2025-08-14T21:16:38.4196523Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2025-08-14T21:16:38.4197084Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2025-08-14T21:16:38.4197620Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2025-08-14T21:16:38.4198024Z instead. 2025-08-14T21:16:38.4198167Z 2025-08-14T21:16:38.4198269Z Example:: 2025-08-14T21:16:38.4198402Z 2025-08-14T21:16:38.4198519Z >>> # Network with nn.BatchNorm layer 2025-08-14T21:16:38.4198888Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:38.4199251Z >>> module = torch.nn.Sequential( 2025-08-14T21:16:38.4199582Z >>> torch.nn.Linear(20, 100), 2025-08-14T21:16:38.4199934Z >>> torch.nn.BatchNorm1d(100), 2025-08-14T21:16:38.4200260Z >>> ).cuda() 2025-08-14T21:16:38.4200562Z >>> # creating process group (optional) 2025-08-14T21:16:38.4200924Z >>> # ranks is a list of int identifying rank ids. 2025-08-14T21:16:38.4201320Z >>> ranks = list(range(8)) 2025-08-14T21:16:38.4201668Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-14T21:16:38.4202017Z >>> # Note: every rank calls into new_group for every 2025-08-14T21:16:38.4202424Z >>> # process group created, even if that rank is not 2025-08-14T21:16:38.4202782Z >>> # part of the group. 2025-08-14T21:16:38.4203081Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:38.4203544Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-14T21:16:38.4204108Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-14T21:16:38.4204713Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2025-08-14T21:16:38.4205105Z 2025-08-14T21:16:38.4205187Z 2025-08-14T21:16:38.4205547Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.4205903Z 2025-08-14T21:16:38.4427264Z msg = Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=66. 2025-08-14T21:16:38.4428155Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.4428514Z 2025-08-14T21:16:38.4428823Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2025-08-14T21:16:38.4429228Z 2025-08-14T21:16:38.4429483Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2025-08-14T21:16:38.4430091Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2025-08-14T21:16:38.4430422Z 2025-08-14T21:16:38.4430733Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2025-08-14T21:16:38.4431391Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2025-08-14T21:16:38.4431902Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2025-08-14T21:16:38.4432180Z 2025-08-14T21:16:38.4432265Z Shape: 2025-08-14T21:16:38.4432594Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2025-08-14T21:16:38.4433140Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2025-08-14T21:16:38.4433708Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2025-08-14T21:16:38.4434152Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2025-08-14T21:16:38.4434379Z 2025-08-14T21:16:38.4434470Z Args: 2025-08-14T21:16:38.4434932Z dim (Union[int, str]): Dimension to be unflattened 2025-08-14T21:16:38.4435521Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2025-08-14T21:16:38.4435960Z 2025-08-14T21:16:38.4436060Z Examples: 2025-08-14T21:16:38.4436276Z >>> input = torch.randn(2, 50) 2025-08-14T21:16:38.4436581Z >>> # With tuple of ints 2025-08-14T21:16:38.4436860Z >>> m = nn.Sequential( 2025-08-14T21:16:38.4437119Z >>> nn.Linear(50, 50), 2025-08-14T21:16:38.4437398Z >>> nn.Unflatten(1, (2, 5, 5)) 2025-08-14T21:16:38.4437687Z >>> ) 2025-08-14T21:16:38.4437887Z >>> output = m(input) 2025-08-14T21:16:38.4438146Z >>> output.size() 2025-08-14T21:16:38.4438395Z torch.Size([2, 2, 5, 5]) 2025-08-14T21:16:38.4438665Z >>> # With torch.Size 2025-08-14T21:16:38.4438910Z >>> m = nn.Sequential( 2025-08-14T21:16:38.4439170Z >>> nn.Linear(50, 50), 2025-08-14T21:16:38.4439464Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2025-08-14T21:16:38.4439768Z >>> ) 2025-08-14T21:16:38.4439980Z >>> output = m(input) 2025-08-14T21:16:38.4440236Z >>> output.size() 2025-08-14T21:16:38.4440475Z torch.Size([2, 2, 5, 5]) 2025-08-14T21:16:38.4440767Z >>> # With namedshape (tuple of tuples) 2025-08-14T21:16:38.4441132Z >>> input = torch.randn(2, 50, names=("N", "features")) 2025-08-14T21:16:38.4441625Z >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5))) 2025-08-14T21:16:38.4442095Z >>> output = unflatten(input) 2025-08-14T21:16:38.4442383Z >>> output.size() 2025-08-14T21:16:38.4442615Z torch.Size([2, 2, 5, 5]) 2025-08-14T21:16:38.4442794Z 2025-08-14T21:16:38.4443034Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.4443399Z 2025-08-14T21:16:38.4797382Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1798. 2025-08-14T21:16:38.4798411Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.4798967Z Creates a criterion that measures the triplet loss given input 2025-08-14T21:16:38.4799476Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2025-08-14T21:16:38.4799973Z positive, and negative examples, respectively), and a nonnegative, 2025-08-14T21:16:38.4800541Z real-valued function ("distance function") used to compute the relationship 2025-08-14T21:16:38.4801120Z between the anchor and positive example ("positive distance") and the 2025-08-14T21:16:38.4801582Z anchor and negative example ("negative distance"). 2025-08-14T21:16:38.4801845Z 2025-08-14T21:16:38.4802046Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2025-08-14T21:16:38.4802458Z can be described as: 2025-08-14T21:16:38.4802621Z 2025-08-14T21:16:38.4802739Z .. math:: 2025-08-14T21:16:38.4802999Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2025-08-14T21:16:38.4803412Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2025-08-14T21:16:38.4803666Z 2025-08-14T21:16:38.4803915Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2025-08-14T21:16:38.4804538Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2025-08-14T21:16:38.4805170Z and :math:`margin` is a nonnegative margin representing the minimum difference 2025-08-14T21:16:38.4805761Z between the positive and negative distances that is required for the loss to 2025-08-14T21:16:38.4806334Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2025-08-14T21:16:38.4806776Z that the distance function can handle. 2025-08-14T21:16:38.4807008Z 2025-08-14T21:16:38.4807119Z If :attr:`reduction` is not ``'none'`` 2025-08-14T21:16:38.4807440Z (default ``'mean'``), then: 2025-08-14T21:16:38.4807620Z 2025-08-14T21:16:38.4807706Z .. math:: 2025-08-14T21:16:38.4807927Z \ell(x, y) = 2025-08-14T21:16:38.4808344Z \begin{cases} 2025-08-14T21:16:38.4808696Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2025-08-14T21:16:38.4809182Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2025-08-14T21:16:38.4809567Z \end{cases} 2025-08-14T21:16:38.4809739Z 2025-08-14T21:16:38.4810112Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2025-08-14T21:16:38.4810792Z loss for input tensors using the :math:`l_p` distance as the distance function. 2025-08-14T21:16:38.4811160Z 2025-08-14T21:16:38.4811241Z Args: 2025-08-14T21:16:38.4811623Z distance_function (Callable, optional): A nonnegative, real-valued function that 2025-08-14T21:16:38.4812189Z quantifies the closeness of two tensors. If not specified, 2025-08-14T21:16:38.4812638Z `nn.PairwiseDistance` will be used. Default: ``None`` 2025-08-14T21:16:38.4813176Z margin (float, optional): A nonnegative margin representing the minimum difference 2025-08-14T21:16:38.4813818Z between the positive and negative distances required for the loss to be 0. Larger 2025-08-14T21:16:38.4814449Z margins penalize cases where the negative examples are not distant enough from the 2025-08-14T21:16:38.4815003Z anchors, relative to the positives. Default: :math:`1`. 2025-08-14T21:16:38.4815578Z swap (bool, optional): Whether to use the distance swap described in the paper 2025-08-14T21:16:38.4816233Z `Learning shallow convolutional feature descriptors with triplet losses` by 2025-08-14T21:16:38.4816811Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2025-08-14T21:16:38.4817408Z negative example than the anchor is, swaps the positive example and the anchor in 2025-08-14T21:16:38.4817914Z the loss computation. Default: ``False``. 2025-08-14T21:16:38.4818424Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2025-08-14T21:16:38.4818975Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-14T21:16:38.4819446Z ``'mean'``: the sum of the output will be divided by the number of 2025-08-14T21:16:38.4819965Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2025-08-14T21:16:38.4820311Z 2025-08-14T21:16:38.4820318Z 2025-08-14T21:16:38.4820414Z Shape: 2025-08-14T21:16:38.4820759Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2025-08-14T21:16:38.4821227Z as supported by the distance function. 2025-08-14T21:16:38.4821705Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2025-08-14T21:16:38.4822139Z otherwise. 2025-08-14T21:16:38.4822296Z 2025-08-14T21:16:38.4822382Z Examples: 2025-08-14T21:16:38.4822506Z 2025-08-14T21:16:38.4822626Z >>> # Initialize embeddings 2025-08-14T21:16:38.4822911Z >>> embedding = nn.Embedding(1000, 128) 2025-08-14T21:16:38.4823251Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2025-08-14T21:16:38.4823608Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2025-08-14T21:16:38.4823966Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2025-08-14T21:16:38.4824297Z >>> anchor = embedding(anchor_ids) 2025-08-14T21:16:38.4824620Z >>> positive = embedding(positive_ids) 2025-08-14T21:16:38.4824953Z >>> negative = embedding(negative_ids) 2025-08-14T21:16:38.4825240Z >>> 2025-08-14T21:16:38.4825457Z >>> # Built-in Distance Function 2025-08-14T21:16:38.4825825Z >>> triplet_loss = \ 2025-08-14T21:16:38.4826250Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2025-08-14T21:16:38.4826788Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-14T21:16:38.4827147Z >>> output.backward() 2025-08-14T21:16:38.4827400Z >>> 2025-08-14T21:16:38.4827698Z >>> # Custom Distance Function 2025-08-14T21:16:38.4827999Z >>> def l_infinity(x1, x2): 2025-08-14T21:16:38.4828336Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2025-08-14T21:16:38.4828666Z >>> 2025-08-14T21:16:38.4828964Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2025-08-14T21:16:38.4829363Z >>> triplet_loss = ( 2025-08-14T21:16:38.4829788Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2025-08-14T21:16:38.4830323Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-14T21:16:38.4830678Z >>> output.backward() 2025-08-14T21:16:38.4830917Z >>> 2025-08-14T21:16:38.4831144Z >>> # Custom Distance Function (Lambda) 2025-08-14T21:16:38.4831453Z >>> triplet_loss = ( 2025-08-14T21:16:38.4831734Z >>> nn.TripletMarginWithDistanceLoss( 2025-08-14T21:16:38.4832177Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2025-08-14T21:16:38.4832648Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-14T21:16:38.4833000Z >>> output.backward() 2025-08-14T21:16:38.4833161Z 2025-08-14T21:16:38.4833246Z Reference: 2025-08-14T21:16:38.4833681Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2025-08-14T21:16:38.4834355Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2025-08-14T21:16:38.4834759Z 2025-08-14T21:16:38.4835156Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2025-08-14T21:16:38.4835521Z 2025-08-14T21:16:38.4836033Z msg = Cannot scrape callname=CTCLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1933. 2025-08-14T21:16:38.4836860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.4837367Z The Connectionist Temporal Classification loss. 2025-08-14T21:16:38.4837607Z 2025-08-14T21:16:38.4837981Z Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the 2025-08-14T21:16:38.4838778Z probability of possible alignments of input to target, producing a loss value which is differentiable 2025-08-14T21:16:38.4839552Z with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which 2025-08-14T21:16:38.4840274Z limits the length of the target sequence such that it must be :math:`\leq` the input length. 2025-08-14T21:16:38.4840670Z 2025-08-14T21:16:38.4840765Z Args: 2025-08-14T21:16:38.4841034Z blank (int, optional): blank label. Default :math:`0`. 2025-08-14T21:16:38.4841538Z reduction (str, optional): Specifies the reduction to apply to the output: 2025-08-14T21:16:38.4842071Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-14T21:16:38.4842559Z ``'mean'``: the output losses will be divided by the target lengths and 2025-08-14T21:16:38.4843122Z then the mean over the batch is taken, ``'sum'``: the output losses will be summed. 2025-08-14T21:16:38.4843580Z Default: ``'mean'`` 2025-08-14T21:16:38.4843873Z zero_infinity (bool, optional): 2025-08-14T21:16:38.4844266Z Whether to zero infinite losses and the associated gradients. 2025-08-14T21:16:38.4844672Z Default: ``False`` 2025-08-14T21:16:38.4845044Z Infinite losses mainly occur when the inputs are too short 2025-08-14T21:16:38.4845438Z to be aligned to the targets. 2025-08-14T21:16:38.4845659Z 2025-08-14T21:16:38.4845743Z Shape: 2025-08-14T21:16:38.4846057Z - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`, 2025-08-14T21:16:38.4846477Z where :math:`T = \text{input length}`, 2025-08-14T21:16:38.4846805Z :math:`N = \text{batch size}`, and 2025-08-14T21:16:38.4847175Z :math:`C = \text{number of classes (including blank)}`. 2025-08-14T21:16:38.4847724Z The logarithmized probabilities of the outputs (e.g. obtained with 2025-08-14T21:16:38.4848176Z :func:`torch.nn.functional.log_softmax`). 2025-08-14T21:16:38.4848539Z - Targets: Tensor of size :math:`(N, S)` or 2025-08-14T21:16:38.4848930Z :math:`(\operatorname{sum}(\text{target\_lengths}))`, 2025-08-14T21:16:38.4849303Z where :math:`N = \text{batch size}` and 2025-08-14T21:16:38.4849690Z :math:`S = \text{max target length, if shape is } (N, S)`. 2025-08-14T21:16:38.4850153Z It represents the target sequences. Each element in the target 2025-08-14T21:16:38.4850684Z sequence is a class index. And the target index cannot be blank (default=0). 2025-08-14T21:16:38.4851171Z In the :math:`(N, S)` form, targets are padded to the 2025-08-14T21:16:38.4851564Z length of the longest sequence, and stacked. 2025-08-14T21:16:38.4851990Z In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form, 2025-08-14T21:16:38.4852414Z the targets are assumed to be un-padded and 2025-08-14T21:16:38.4852769Z concatenated within 1 dimension. 2025-08-14T21:16:38.4853185Z - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-14T21:16:38.4853691Z where :math:`N = \text{batch size}`. It represents the lengths of the 2025-08-14T21:16:38.4854218Z inputs (must each be :math:`\leq T`). And the lengths are specified 2025-08-14T21:16:38.4854782Z for each sequence to achieve masking under the assumption that sequences 2025-08-14T21:16:38.4855222Z are padded to equal lengths. 2025-08-14T21:16:38.4855618Z - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-14T21:16:38.4856141Z where :math:`N = \text{batch size}`. It represents lengths of the targets. 2025-08-14T21:16:38.4856683Z Lengths are specified for each sequence to achieve masking under the 2025-08-14T21:16:38.4857253Z assumption that sequences are padded to equal lengths. If target shape is 2025-08-14T21:16:38.4857759Z :math:`(N,S)`, target_lengths are effectively the stop index 2025-08-14T21:16:38.4858286Z :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for 2025-08-14T21:16:38.4858819Z each target in a batch. Lengths must each be :math:`\leq S` 2025-08-14T21:16:38.4859341Z If the targets are given as a 1d tensor that is the concatenation of individual 2025-08-14T21:16:38.4859915Z targets, the target_lengths must add up to the total length of the tensor. 2025-08-14T21:16:38.4860445Z - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or 2025-08-14T21:16:38.4860965Z ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or 2025-08-14T21:16:38.4861485Z :math:`()` if input is unbatched, where :math:`N = \text{batch size}`. 2025-08-14T21:16:38.4861797Z 2025-08-14T21:16:38.4861882Z Examples: 2025-08-14T21:16:38.4862023Z 2025-08-14T21:16:38.4862131Z >>> # Target are to be padded 2025-08-14T21:16:38.4862446Z >>> T = 50 # Input sequence length 2025-08-14T21:16:38.4862782Z >>> C = 20 # Number of classes (including blank) 2025-08-14T21:16:38.4863117Z >>> N = 16 # Batch size 2025-08-14T21:16:38.4863520Z >>> S = 30 # Target sequence length of longest target in batch (padding length) 2025-08-14T21:16:38.4864025Z >>> S_min = 10 # Minimum target length, for demonstration purposes 2025-08-14T21:16:38.4864405Z >>> 2025-08-14T21:16:38.4864718Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-14T21:16:38.4865214Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-14T21:16:38.4865612Z >>> 2025-08-14T21:16:38.4866021Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-14T21:16:38.4866535Z >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long) 2025-08-14T21:16:38.4867044Z >>> 2025-08-14T21:16:38.4867379Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-14T21:16:38.4867820Z >>> target_lengths = torch.randint( 2025-08-14T21:16:38.4868119Z ... low=S_min, 2025-08-14T21:16:38.4868375Z ... high=S, 2025-08-14T21:16:38.4868625Z ... size=(N,), 2025-08-14T21:16:38.4868877Z ... dtype=torch.long, 2025-08-14T21:16:38.4869152Z ... ) 2025-08-14T21:16:38.4869377Z >>> ctc_loss = nn.CTCLoss() 2025-08-14T21:16:38.4869749Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-14T21:16:38.4870124Z >>> loss.backward() 2025-08-14T21:16:38.4870379Z >>> 2025-08-14T21:16:38.4870580Z >>> 2025-08-14T21:16:38.4870796Z >>> # Target are to be un-padded 2025-08-14T21:16:38.4871112Z >>> T = 50 # Input sequence length 2025-08-14T21:16:38.4871450Z >>> C = 20 # Number of classes (including blank) 2025-08-14T21:16:38.4871772Z >>> N = 16 # Batch size 2025-08-14T21:16:38.4872034Z >>> 2025-08-14T21:16:38.4872346Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-14T21:16:38.4872840Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-14T21:16:38.4873407Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-14T21:16:38.4873848Z >>> 2025-08-14T21:16:38.4874158Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-14T21:16:38.4874681Z >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long) 2025-08-14T21:16:38.4875140Z >>> target = torch.randint( 2025-08-14T21:16:38.4875429Z ... low=1, 2025-08-14T21:16:38.4875657Z ... high=C, 2025-08-14T21:16:38.4875918Z ... size=(sum(target_lengths),), 2025-08-14T21:16:38.4876468Z ... dtype=torch.long, 2025-08-14T21:16:38.4876734Z ... ) 2025-08-14T21:16:38.4876959Z >>> ctc_loss = nn.CTCLoss() 2025-08-14T21:16:38.4877333Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-14T21:16:38.4877712Z >>> loss.backward() 2025-08-14T21:16:38.4877966Z >>> 2025-08-14T21:16:38.4878166Z >>> 2025-08-14T21:16:38.4878493Z >>> # Target are to be un-padded and unbatched (effectively N=1) 2025-08-14T21:16:38.4878886Z >>> T = 50 # Input sequence length 2025-08-14T21:16:38.4879232Z >>> C = 20 # Number of classes (including blank) 2025-08-14T21:16:38.4879562Z >>> 2025-08-14T21:16:38.4879857Z >>> # Initialize random batch of input vectors, for *size = (T,C) 2025-08-14T21:16:38.4880293Z >>> # xdoctest: +SKIP("FIXME: error in doctest") 2025-08-14T21:16:38.4880727Z >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_() 2025-08-14T21:16:38.4881180Z >>> input_lengths = torch.tensor(T, dtype=torch.long) 2025-08-14T21:16:38.4881536Z >>> 2025-08-14T21:16:38.4881847Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-14T21:16:38.4882377Z >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long) 2025-08-14T21:16:38.4882812Z >>> target = torch.randint( 2025-08-14T21:16:38.4883108Z ... low=1, 2025-08-14T21:16:38.4883351Z ... high=C, 2025-08-14T21:16:38.4883600Z ... size=(target_lengths,), 2025-08-14T21:16:38.4883905Z ... dtype=torch.long, 2025-08-14T21:16:38.4884180Z ... ) 2025-08-14T21:16:38.4884392Z >>> ctc_loss = nn.CTCLoss() 2025-08-14T21:16:38.4884764Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-14T21:16:38.4885151Z >>> loss.backward() 2025-08-14T21:16:38.4885318Z 2025-08-14T21:16:38.4885401Z Reference: 2025-08-14T21:16:38.4885701Z A. Graves et al.: Connectionist Temporal Classification: 2025-08-14T21:16:38.4886346Z Labelling Unsegmented Sequence Data with Recurrent Neural Networks: 2025-08-14T21:16:38.4886848Z https://www.cs.toronto.edu/~graves/icml_2006.pdf 2025-08-14T21:16:38.4887101Z 2025-08-14T21:16:38.4887182Z Note: 2025-08-14T21:16:38.4887531Z In order to use CuDNN, the following must be satisfied: :attr:`targets` must be 2025-08-14T21:16:38.4888124Z in concatenated format, all :attr:`input_lengths` must be `T`. :math:`blank=0`, 2025-08-14T21:16:38.4888689Z :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of 2025-08-14T21:16:38.4889123Z dtype :attr:`torch.int32`. 2025-08-14T21:16:38.4889330Z 2025-08-14T21:16:38.4889589Z The regular implementation uses the (more common in PyTorch) `torch.long` dtype. 2025-08-14T21:16:38.4889954Z 2025-08-14T21:16:38.4889958Z 2025-08-14T21:16:38.4890051Z Note: 2025-08-14T21:16:38.4890393Z In some circumstances when using the CUDA backend with CuDNN, this operator 2025-08-14T21:16:38.4890994Z may select a nondeterministic algorithm to increase performance. If this is 2025-08-14T21:16:38.4891591Z undesirable, you can try to make the operation deterministic (potentially at 2025-08-14T21:16:38.4892168Z a performance cost) by setting ``torch.backends.cudnn.deterministic = 2025-08-14T21:16:38.4892626Z True``. 2025-08-14T21:16:38.4892955Z Please see the notes on :doc:`/notes/randomness` for background. 2025-08-14T21:16:38.4893387Z 2025-08-14T21:16:38.4893732Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.4894092Z 2025-08-14T21:16:38.5385785Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=410. 2025-08-14T21:16:38.5386692Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.5387196Z Computes a partial inverse of :class:`MaxPool2d`. 2025-08-14T21:16:38.5387458Z 2025-08-14T21:16:38.5387729Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2025-08-14T21:16:38.5388105Z 2025-08-14T21:16:38.5388323Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2025-08-14T21:16:38.5388884Z including the indices of the maximal values and computes a partial inverse 2025-08-14T21:16:38.5389404Z in which all non-maximal values are set to zero. 2025-08-14T21:16:38.5389650Z 2025-08-14T21:16:38.5389733Z Note: 2025-08-14T21:16:38.5390160Z This operation may behave nondeterministically when the input indices has repeat values. 2025-08-14T21:16:38.5390962Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2025-08-14T21:16:38.5391435Z 2025-08-14T21:16:38.5391686Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2025-08-14T21:16:38.5392178Z sizes. Hence, the inversion process can get ambiguous. 2025-08-14T21:16:38.5392654Z To accommodate this, you can provide the needed output size 2025-08-14T21:16:38.5393154Z as an additional argument :attr:`output_size` in the forward call. 2025-08-14T21:16:38.5393573Z See the Inputs and Example below. 2025-08-14T21:16:38.5393808Z 2025-08-14T21:16:38.5393893Z Args: 2025-08-14T21:16:38.5394191Z kernel_size (int or tuple): Size of the max pooling window. 2025-08-14T21:16:38.5394648Z stride (int or tuple): Stride of the max pooling window. 2025-08-14T21:16:38.5395050Z It is set to :attr:`kernel_size` by default. 2025-08-14T21:16:38.5395469Z padding (int or tuple): Padding that was added to the input 2025-08-14T21:16:38.5395754Z 2025-08-14T21:16:38.5395850Z Inputs: 2025-08-14T21:16:38.5396082Z - `input`: the input Tensor to invert 2025-08-14T21:16:38.5396505Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2025-08-14T21:16:38.5397220Z - `output_size` (optional): the targeted output size 2025-08-14T21:16:38.5397487Z 2025-08-14T21:16:38.5397585Z Shape: 2025-08-14T21:16:38.5397880Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2025-08-14T21:16:38.5398382Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2025-08-14T21:16:38.5398704Z 2025-08-14T21:16:38.5398807Z .. math:: 2025-08-14T21:16:38.5399193Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2025-08-14T21:16:38.5399576Z 2025-08-14T21:16:38.5399661Z .. math:: 2025-08-14T21:16:38.5400050Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2025-08-14T21:16:38.5400406Z 2025-08-14T21:16:38.5400576Z or as given by :attr:`output_size` in the call operator 2025-08-14T21:16:38.5400840Z 2025-08-14T21:16:38.5400927Z Example:: 2025-08-14T21:16:38.5401062Z 2025-08-14T21:16:38.5401224Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2025-08-14T21:16:38.5401614Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2025-08-14T21:16:38.5401972Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2025-08-14T21:16:38.5402309Z [ 5., 6., 7., 8.], 2025-08-14T21:16:38.5402699Z [ 9., 10., 11., 12.], 2025-08-14T21:16:38.5403027Z [13., 14., 15., 16.]]]]) 2025-08-14T21:16:38.5403403Z >>> output, indices = pool(input) 2025-08-14T21:16:38.5403726Z >>> unpool(output, indices) 2025-08-14T21:16:38.5404029Z tensor([[[[ 0., 0., 0., 0.], 2025-08-14T21:16:38.5404318Z [ 0., 6., 0., 8.], 2025-08-14T21:16:38.5404616Z [ 0., 0., 0., 0.], 2025-08-14T21:16:38.5404919Z [ 0., 14., 0., 16.]]]]) 2025-08-14T21:16:38.5405334Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2025-08-14T21:16:38.5405784Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2025-08-14T21:16:38.5406145Z [ 6., 7., 8., 9., 10.], 2025-08-14T21:16:38.5406477Z [11., 12., 13., 14., 15.], 2025-08-14T21:16:38.5406797Z [16., 17., 18., 19., 20.]]]]) 2025-08-14T21:16:38.5407135Z >>> output, indices = pool(input) 2025-08-14T21:16:38.5407517Z >>> # This call will not work without specifying output_size 2025-08-14T21:16:38.5407936Z >>> unpool(output, indices, output_size=input.size()) 2025-08-14T21:16:38.5408303Z tensor([[[[ 0., 0., 0., 0., 0.], 2025-08-14T21:16:38.5408608Z [ 0., 7., 0., 9., 0.], 2025-08-14T21:16:38.5408905Z [ 0., 0., 0., 0., 0.], 2025-08-14T21:16:38.5409194Z [ 0., 17., 0., 19., 0.]]]]) 2025-08-14T21:16:38.5409409Z 2025-08-14T21:16:38.5409413Z 2025-08-14T21:16:38.5409501Z 2025-08-14T21:16:38.5409863Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.5410212Z 2025-08-14T21:16:38.5679004Z msg = Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=272. 2025-08-14T21:16:38.5679943Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.5680605Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2025-08-14T21:16:38.5681035Z 2025-08-14T21:16:38.5681341Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2025-08-14T21:16:38.5681871Z and with 2D inputs, this class 2025-08-14T21:16:38.5682066Z 2025-08-14T21:16:38.5682377Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2025-08-14T21:16:38.5683327Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2025-08-14T21:16:38.5684041Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2025-08-14T21:16:38.5684440Z 2025-08-14T21:16:38.5684795Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2025-08-14T21:16:38.5685346Z operations. 2025-08-14T21:16:38.5685485Z 2025-08-14T21:16:38.5685731Z EmbeddingBag also supports per-sample weights as an argument to the forward 2025-08-14T21:16:38.5686322Z pass. This scales the output of the Embedding before performing a weighted 2025-08-14T21:16:38.5686909Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2025-08-14T21:16:38.5687482Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2025-08-14T21:16:38.5687937Z :attr:`per_sample_weights`. 2025-08-14T21:16:38.5688136Z 2025-08-14T21:16:38.5688225Z Args: 2025-08-14T21:16:38.5688525Z num_embeddings (int): size of the dictionary of embeddings 2025-08-14T21:16:38.5688963Z embedding_dim (int): the size of each embedding vector 2025-08-14T21:16:38.5689536Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2025-08-14T21:16:38.5690148Z is renormalized to have norm :attr:`max_norm`. 2025-08-14T21:16:38.5690773Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2025-08-14T21:16:38.5691526Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2025-08-14T21:16:38.5692116Z the words in the mini-batch. Default ``False``. 2025-08-14T21:16:38.5692570Z Note: this option is not supported when ``mode="max"``. 2025-08-14T21:16:38.5693097Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2025-08-14T21:16:38.5693667Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2025-08-14T21:16:38.5694207Z into consideration. ``"mean"`` computes the average of the values 2025-08-14T21:16:38.5694710Z in the bag, ``"max"`` computes the max value over each bag. 2025-08-14T21:16:38.5695102Z Default: ``"mean"`` 2025-08-14T21:16:38.5695628Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2025-08-14T21:16:38.5696298Z Notes for more details regarding sparse gradients. Note: this option is not 2025-08-14T21:16:38.5696789Z supported when ``mode="max"``. 2025-08-14T21:16:38.5697376Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2025-08-14T21:16:38.5698066Z is equivalent to the size of `indices`. This matches the CSR format. 2025-08-14T21:16:38.5698719Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2025-08-14T21:16:38.5699419Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2025-08-14T21:16:38.5700031Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2025-08-14T21:16:38.5700640Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2025-08-14T21:16:38.5701250Z zeros, but can be updated to another value to be used as the padding vector. 2025-08-14T21:16:38.5701894Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2025-08-14T21:16:38.5702354Z reduction. 2025-08-14T21:16:38.5702577Z 2025-08-14T21:16:38.5702664Z Attributes: 2025-08-14T21:16:38.5703108Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2025-08-14T21:16:38.5703655Z initialized from :math:`\mathcal{N}(0, 1)`. 2025-08-14T21:16:38.5703922Z 2025-08-14T21:16:38.5704025Z Examples:: 2025-08-14T21:16:38.5704167Z 2025-08-14T21:16:38.5704331Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2025-08-14T21:16:38.5704763Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2025-08-14T21:16:38.5705141Z >>> # a batch of 2 samples of 4 indices each 2025-08-14T21:16:38.5705560Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2025-08-14T21:16:38.5706127Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-14T21:16:38.5706514Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:38.5706884Z >>> embedding_sum(input, offsets) 2025-08-14T21:16:38.5707218Z tensor([[-0.8861, -5.4350, -0.0523], 2025-08-14T21:16:38.5707518Z [ 1.1306, -2.5798, -1.0044]]) 2025-08-14T21:16:38.5707731Z 2025-08-14T21:16:38.5707882Z >>> # Example with padding_idx 2025-08-14T21:16:38.5708289Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2025-08-14T21:16:38.5708819Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2025-08-14T21:16:38.5709250Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-14T21:16:38.5709619Z >>> embedding_sum(input, offsets) 2025-08-14T21:16:38.5709934Z tensor([[ 0.0000, 0.0000, 0.0000], 2025-08-14T21:16:38.5710227Z [-0.7082, 3.2145, -2.6251]]) 2025-08-14T21:16:38.5710442Z 2025-08-14T21:16:38.5710607Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2025-08-14T21:16:38.5711036Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2025-08-14T21:16:38.5711448Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2025-08-14T21:16:38.5711801Z embedding.weight, 2025-08-14T21:16:38.5712118Z padding_idx=embedding.padding_idx, 2025-08-14T21:16:38.5712452Z mode='sum') 2025-08-14T21:16:38.5712688Z 2025-08-14T21:16:38.5713040Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.5713394Z 2025-08-14T21:16:38.5753966Z msg = Cannot scrape callname=Transformer.forward in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py line=186. 2025-08-14T21:16:38.5754906Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.5755407Z Take in and process masked source/target sequences. 2025-08-14T21:16:38.5755669Z 2025-08-14T21:16:38.5755767Z .. note:: 2025-08-14T21:16:38.5755939Z 2025-08-14T21:16:38.5756322Z If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are 2025-08-14T21:16:38.5756942Z not allowed to participate in the attention, 2025-08-14T21:16:38.5757386Z which is the opposite of the definition for :attr:`attn_mask` 2025-08-14T21:16:38.5757863Z in :func:`torch.nn.functional.scaled_dot_product_attention`. 2025-08-14T21:16:38.5758175Z 2025-08-14T21:16:38.5758259Z Args: 2025-08-14T21:16:38.5758523Z src: the sequence to the encoder (required). 2025-08-14T21:16:38.5758888Z tgt: the sequence to the decoder (required). 2025-08-14T21:16:38.5759312Z src_mask: the additive mask for the src sequence (optional). 2025-08-14T21:16:38.5759782Z tgt_mask: the additive mask for the tgt sequence (optional). 2025-08-14T21:16:38.5760269Z memory_mask: the additive mask for the encoder output (optional). 2025-08-14T21:16:38.5760939Z src_key_padding_mask: the Tensor mask for src keys per batch (optional). 2025-08-14T21:16:38.5761502Z tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional). 2025-08-14T21:16:38.5762082Z memory_key_padding_mask: the Tensor mask for memory keys per batch (optional). 2025-08-14T21:16:38.5762632Z src_is_causal: If specified, applies a causal mask as ``src_mask``. 2025-08-14T21:16:38.5763115Z Default: ``None``; try to detect a causal mask. 2025-08-14T21:16:38.5763467Z Warning: 2025-08-14T21:16:38.5763785Z ``src_is_causal`` provides a hint that ``src_mask`` is 2025-08-14T21:16:38.5764216Z the causal mask. Providing incorrect hints can result in 2025-08-14T21:16:38.5764666Z incorrect execution, including forward and backward 2025-08-14T21:16:38.5765044Z compatibility. 2025-08-14T21:16:38.5765418Z tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``. 2025-08-14T21:16:38.5765879Z Default: ``None``; try to detect a causal mask. 2025-08-14T21:16:38.5766227Z Warning: 2025-08-14T21:16:38.5766545Z ``tgt_is_causal`` provides a hint that ``tgt_mask`` is 2025-08-14T21:16:38.5766977Z the causal mask. Providing incorrect hints can result in 2025-08-14T21:16:38.5767463Z incorrect execution, including forward and backward 2025-08-14T21:16:38.5767876Z compatibility. 2025-08-14T21:16:38.5768220Z memory_is_causal: If specified, applies a causal mask as 2025-08-14T21:16:38.5768604Z ``memory_mask``. 2025-08-14T21:16:38.5768890Z Default: ``False``. 2025-08-14T21:16:38.5769164Z Warning: 2025-08-14T21:16:38.5769453Z ``memory_is_causal`` provides a hint that 2025-08-14T21:16:38.5769858Z ``memory_mask`` is the causal mask. Providing incorrect 2025-08-14T21:16:38.5770296Z hints can result in incorrect execution, including 2025-08-14T21:16:38.5770678Z forward and backward compatibility. 2025-08-14T21:16:38.5770921Z 2025-08-14T21:16:38.5771005Z Shape: 2025-08-14T21:16:38.5771375Z - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or 2025-08-14T21:16:38.5771828Z `(N, S, E)` if `batch_first=True`. 2025-08-14T21:16:38.5772282Z - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-14T21:16:38.5772738Z `(N, T, E)` if `batch_first=True`. 2025-08-14T21:16:38.5773148Z - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`. 2025-08-14T21:16:38.5773619Z - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`. 2025-08-14T21:16:38.5774030Z - memory_mask: :math:`(T, S)`. 2025-08-14T21:16:38.5774481Z - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-14T21:16:38.5775051Z - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`. 2025-08-14T21:16:38.5775644Z - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-14T21:16:38.5776212Z 2025-08-14T21:16:38.5776517Z Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked 2025-08-14T21:16:38.5777137Z positions. If a BoolTensor is provided, positions with ``True`` 2025-08-14T21:16:38.5777695Z are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor 2025-08-14T21:16:38.5778225Z is provided, it will be added to the attention weight. 2025-08-14T21:16:38.5778799Z [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by 2025-08-14T21:16:38.5779414Z the attention. If a BoolTensor is provided, the positions with the 2025-08-14T21:16:38.5780180Z value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. 2025-08-14T21:16:38.5780604Z 2025-08-14T21:16:38.5780853Z - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-14T21:16:38.5781336Z `(N, T, E)` if `batch_first=True`. 2025-08-14T21:16:38.5781553Z 2025-08-14T21:16:38.5781799Z Note: Due to the multi-head attention architecture in the transformer model, 2025-08-14T21:16:38.5782370Z the output sequence length of a transformer is same as the input sequence 2025-08-14T21:16:38.5782830Z (i.e. target) length of the decoder. 2025-08-14T21:16:38.5783047Z 2025-08-14T21:16:38.5783371Z where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the 2025-08-14T21:16:38.5783910Z batch size, :math:`E` is the feature number 2025-08-14T21:16:38.5784153Z 2025-08-14T21:16:38.5784244Z Examples: 2025-08-14T21:16:38.5784485Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.5784788Z >>> output = transformer_model( 2025-08-14T21:16:38.5785144Z ... src, tgt, src_mask=src_mask, tgt_mask=tgt_mask 2025-08-14T21:16:38.5785485Z ... ) 2025-08-14T21:16:38.5785861Z 2025-08-14T21:16:38.5786217Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.5786636Z 2025-08-14T21:16:38.6028856Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1766. 2025-08-14T21:16:38.6029850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6030217Z 2025-08-14T21:16:38.6030456Z Context manager for training with uneven inputs across processes in DDP. 2025-08-14T21:16:38.6030818Z 2025-08-14T21:16:38.6031057Z This context manager will keep track of already-joined DDP processes, 2025-08-14T21:16:38.6031569Z and "shadow" the forward and backward passes by inserting collective 2025-08-14T21:16:38.6032099Z communication operations to match with the ones created by non-joined 2025-08-14T21:16:38.6032656Z DDP processes. This will ensure each collective call has a corresponding 2025-08-14T21:16:38.6033209Z call by already-joined DDP processes, preventing hangs or errors that 2025-08-14T21:16:38.6033714Z would otherwise happen when training with uneven inputs across 2025-08-14T21:16:38.6034240Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2025-08-14T21:16:38.6034778Z specified to be ``True``, all trainers will throw an error once one rank 2025-08-14T21:16:38.6035270Z runs out of inputs, allowing these errors to be caught and handled 2025-08-14T21:16:38.6035679Z according to application logic. 2025-08-14T21:16:38.6035880Z 2025-08-14T21:16:38.6036086Z Once all DDP processes have joined, the context manager will broadcast 2025-08-14T21:16:38.6036631Z the model corresponding to the last joined process to all processes to 2025-08-14T21:16:38.6037088Z ensure the model is the same across all processes 2025-08-14T21:16:38.6037440Z (which is guaranteed by DDP). 2025-08-14T21:16:38.6037618Z 2025-08-14T21:16:38.6037823Z To use this to enable training with uneven inputs across processes, 2025-08-14T21:16:38.6038331Z simply wrap this context manager around your training loop. No further 2025-08-14T21:16:38.6038826Z modifications to the model or data loading is required. 2025-08-14T21:16:38.6039104Z 2025-08-14T21:16:38.6039204Z .. warning:: 2025-08-14T21:16:38.6039533Z If the model or training loop this context manager is wrapped around 2025-08-14T21:16:38.6040008Z has additional distributed collective operations, such as 2025-08-14T21:16:38.6040472Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2025-08-14T21:16:38.6040956Z ``throw_on_early_termination`` must be enabled. This is because this 2025-08-14T21:16:38.6041607Z context manager is not aware of non-DDP collective communication. 2025-08-14T21:16:38.6042090Z This flag will cause all ranks to throw when any one rank 2025-08-14T21:16:38.6042571Z exhausts inputs, allowing these errors to be caught and recovered 2025-08-14T21:16:38.6042987Z from across all ranks. 2025-08-14T21:16:38.6043157Z 2025-08-14T21:16:38.6043237Z Args: 2025-08-14T21:16:38.6043535Z divide_by_initial_world_size (bool): If ``True``, will divide 2025-08-14T21:16:38.6044028Z gradients by the initial ``world_size`` DDP training was launched 2025-08-14T21:16:38.6044490Z with. If ``False``, will compute the effective world size 2025-08-14T21:16:38.6044942Z (number of ranks that have not depleted their inputs yet) and 2025-08-14T21:16:38.6045376Z divide gradients by that during allreduce. Set 2025-08-14T21:16:38.6045795Z ``divide_by_initial_world_size=True`` to ensure every input 2025-08-14T21:16:38.6046269Z sample including the uneven inputs have equal weight in terms of 2025-08-14T21:16:38.6046743Z how much they contribute to the global gradient. This is 2025-08-14T21:16:38.6047187Z achieved by always dividing the gradient by the initial 2025-08-14T21:16:38.6047629Z ``world_size`` even when we encounter uneven inputs. If you set 2025-08-14T21:16:38.6048139Z this to ``False``, we divide the gradient by the remaining 2025-08-14T21:16:38.6060389Z number of nodes. This ensures parity with training on a smaller 2025-08-14T21:16:38.6061195Z ``world_size`` although it also means the uneven inputs would 2025-08-14T21:16:38.6061674Z contribute more towards the global gradient. Typically, you 2025-08-14T21:16:38.6062159Z would want to set this to ``True`` for cases where the last few 2025-08-14T21:16:38.6062646Z inputs of your training job are uneven. In extreme cases, where 2025-08-14T21:16:38.6063119Z there is a large discrepancy in the number of inputs, setting 2025-08-14T21:16:38.6063559Z this to ``False`` might provide better results. 2025-08-14T21:16:38.6064012Z enable (bool): Whether to enable uneven input detection or not. Pass 2025-08-14T21:16:38.6064496Z in ``enable=False`` to disable in cases where you know that 2025-08-14T21:16:38.6064945Z inputs are even across participating processes. Default is 2025-08-14T21:16:38.6065332Z ``True``. 2025-08-14T21:16:38.6065716Z throw_on_early_termination (bool): Whether to throw an error 2025-08-14T21:16:38.6066178Z or continue training when at least one rank has exhausted 2025-08-14T21:16:38.6066643Z inputs. If ``True``, will throw upon the first rank reaching end 2025-08-14T21:16:38.6067102Z of data. If ``False``, will continue training with a smaller 2025-08-14T21:16:38.6067570Z effective world size until all ranks are joined. Note that if 2025-08-14T21:16:38.6067974Z this flag is specified, then the flag 2025-08-14T21:16:38.6068379Z ``divide_by_initial_world_size`` would be ignored. Default 2025-08-14T21:16:38.6068750Z is ``False``. 2025-08-14T21:16:38.6068893Z 2025-08-14T21:16:38.6068898Z 2025-08-14T21:16:38.6068990Z Example:: 2025-08-14T21:16:38.6069120Z 2025-08-14T21:16:38.6069229Z >>> # xdoctest: +SKIP("Distributed") 2025-08-14T21:16:38.6069541Z >>> import torch 2025-08-14T21:16:38.6069795Z >>> import torch.distributed as dist 2025-08-14T21:16:38.6070103Z >>> import os 2025-08-14T21:16:38.6070363Z >>> import torch.multiprocessing as mp 2025-08-14T21:16:38.6070689Z >>> import torch.nn as nn 2025-08-14T21:16:38.6070957Z >>> # On each spawned worker 2025-08-14T21:16:38.6071242Z >>> def worker(rank): 2025-08-14T21:16:38.6071579Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2025-08-14T21:16:38.6071964Z >>> torch.cuda.set_device(rank) 2025-08-14T21:16:38.6072308Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2025-08-14T21:16:38.6072807Z >>> model = torch.nn.parallel.DistributedDataParallel( 2025-08-14T21:16:38.6073223Z >>> model, device_ids=[rank], output_device=rank 2025-08-14T21:16:38.6073559Z >>> ) 2025-08-14T21:16:38.6073815Z >>> # Rank 1 gets one more input than rank 0. 2025-08-14T21:16:38.6074223Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2025-08-14T21:16:38.6074621Z >>> with model.join(): 2025-08-14T21:16:38.6074897Z >>> for _ in range(5): 2025-08-14T21:16:38.6075192Z >>> for inp in inputs: 2025-08-14T21:16:38.6075495Z >>> loss = model(inp).sum() 2025-08-14T21:16:38.6075823Z >>> loss.backward() 2025-08-14T21:16:38.6076413Z >>> # Without the join() API, the below synchronization will hang 2025-08-14T21:16:38.6076842Z >>> # blocking for rank 1's allreduce to complete. 2025-08-14T21:16:38.6077220Z >>> torch.cuda.synchronize(device=rank) 2025-08-14T21:16:38.6077446Z 2025-08-14T21:16:38.6077705Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6078057Z 2025-08-14T21:16:38.6078800Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2057. 2025-08-14T21:16:38.6079924Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6080327Z 2025-08-14T21:16:38.6080620Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2025-08-14T21:16:38.6081039Z 2025-08-14T21:16:38.6081237Z Registers an optimizer with DDP such that the optimization for a 2025-08-14T21:16:38.6081745Z parameter will run immediately when that parameter's gradient is 2025-08-14T21:16:38.6082249Z finished with reduction, instead of waiting for all parameters' 2025-08-14T21:16:38.6082750Z gradients to finish reduction. This can result in a training speedup 2025-08-14T21:16:38.6083287Z depending on your workload since the optimizer can run while gradient 2025-08-14T21:16:38.6083831Z reduction for other parameters are still ongoing. In addition, this has 2025-08-14T21:16:38.6084367Z the potential to reduce peak memory consumption during training, as it 2025-08-14T21:16:38.6084892Z only needs to load the per-parameter optimizer states of a single 2025-08-14T21:16:38.6085406Z parameter at a time, instead of loading all per-parameter optimizer 2025-08-14T21:16:38.6085799Z states at once. 2025-08-14T21:16:38.6085935Z 2025-08-14T21:16:38.6086018Z Args: 2025-08-14T21:16:38.6086327Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2025-08-14T21:16:38.6086733Z as a fused optimizer. 2025-08-14T21:16:38.6087051Z *args (Sequence[Any]): Arguments to forward to `optim`. 2025-08-14T21:16:38.6087529Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2025-08-14T21:16:38.6088065Z to optimize, similar to `params` argument of traditional `torch.optim` 2025-08-14T21:16:38.6088583Z Optimizers. If this is omitted, all DDP model parameters will be 2025-08-14T21:16:38.6088981Z optimized. 2025-08-14T21:16:38.6089308Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2025-08-14T21:16:38.6089605Z 2025-08-14T21:16:38.6089707Z .. warning :: 2025-08-14T21:16:38.6090032Z _register_fused_optim should only be called once on a DDP instance, 2025-08-14T21:16:38.6090552Z and registering multiple fused optimizers for the same DDP model 2025-08-14T21:16:38.6090985Z is not currently supported. Please ping 2025-08-14T21:16:38.6091441Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-14T21:16:38.6091868Z for your use case. 2025-08-14T21:16:38.6092020Z 2025-08-14T21:16:38.6092120Z .. warning :: 2025-08-14T21:16:38.6092420Z _register_fused_optim and register_comm_hook currently do not 2025-08-14T21:16:38.6092927Z compose together, meaning that custom DDP communication hooks are 2025-08-14T21:16:38.6093494Z not supported with overlapped optimizers. Please ping 2025-08-14T21:16:38.6093991Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-14T21:16:38.6094402Z for your use case. 2025-08-14T21:16:38.6094568Z 2025-08-14T21:16:38.6094654Z .. warning :: 2025-08-14T21:16:38.6095004Z Gradient accumulation and DDP `no_sync` are currently not supported 2025-08-14T21:16:38.6095448Z with overlapped optimizer. Please ping 2025-08-14T21:16:38.6095897Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-14T21:16:38.6096319Z for your use case. 2025-08-14T21:16:38.6096470Z 2025-08-14T21:16:38.6096568Z Example:: 2025-08-14T21:16:38.6096684Z 2025-08-14T21:16:38.6096810Z >>> # xdoctest: +SKIP("No rendezvous handler") 2025-08-14T21:16:38.6097336Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2025-08-14T21:16:38.6097940Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2025-08-14T21:16:38.6098325Z >>> lr = 1e-2 2025-08-14T21:16:38.6098558Z >>> betas = (0.9, 0.99) 2025-08-14T21:16:38.6098818Z >>> eps = 1e-6 2025-08-14T21:16:38.6099164Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2025-08-14T21:16:38.6099610Z >>> # Example with subset of parameters 2025-08-14T21:16:38.6100001Z >>> params_to_opt = [list(net.parameters())[0]] 2025-08-14T21:16:38.6100350Z >>> net._register_fused_optim( 2025-08-14T21:16:38.6100787Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2025-08-14T21:16:38.6101210Z ... ) 2025-08-14T21:16:38.6101322Z 2025-08-14T21:16:38.6101576Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6101926Z 2025-08-14T21:16:38.6310445Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=14. 2025-08-14T21:16:38.6311410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6311984Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2025-08-14T21:16:38.6312300Z 2025-08-14T21:16:38.6312595Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-14T21:16:38.6313238Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-14T21:16:38.6313852Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-14T21:16:38.6314508Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-14T21:16:38.6314977Z 2025-08-14T21:16:38.6315078Z .. note:: 2025-08-14T21:16:38.6315438Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2025-08-14T21:16:38.6315989Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2025-08-14T21:16:38.6316529Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-14T21:16:38.6317068Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-14T21:16:38.6317600Z One place we are confident in is that NHWC(channels_last) conversion for 2025-08-14T21:16:38.6318144Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2025-08-14T21:16:38.6318670Z even in cases where we have to apply permutation to input tensors. 2025-08-14T21:16:38.6318976Z 2025-08-14T21:16:38.6319209Z Hence our strategy here is to convert only the weight of convolution to 2025-08-14T21:16:38.6319646Z channels_last. This ensures that; 2025-08-14T21:16:38.6320083Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-14T21:16:38.6320631Z outweigh overhead of permutation (if input is not in the same format). 2025-08-14T21:16:38.6321180Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-14T21:16:38.6321788Z from memory_format conversion. 2025-08-14T21:16:38.6322010Z 2025-08-14T21:16:38.6322227Z The optimal case is that, layers between convolution layers are channels 2025-08-14T21:16:38.6322788Z last compatible. Input tensor would be permuted to channels last when it 2025-08-14T21:16:38.6323338Z encounters the first convolution layer and stay in that memory format. 2025-08-14T21:16:38.6323906Z Hence following convolutions will not need to permute its input tensor. 2025-08-14T21:16:38.6324247Z 2025-08-14T21:16:38.6324473Z In case where a channels last incompatible layer is between convolution 2025-08-14T21:16:38.6325007Z layers, we need to permute the input tensor back to contiguous format 2025-08-14T21:16:38.6325530Z for that layer. The input tensor will go through the remaining layers in 2025-08-14T21:16:38.6326074Z contiguous format and be permuted to channels last when it encounters 2025-08-14T21:16:38.6326608Z another convolution layer. There's no point in propagating that 2025-08-14T21:16:38.6327121Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-14T21:16:38.6327541Z ``memory_format``. 2025-08-14T21:16:38.6327705Z 2025-08-14T21:16:38.6327936Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-14T21:16:38.6328535Z there might have been a better spot to fuse the permutation other than 2025-08-14T21:16:38.6329008Z immediately before a convolution. 2025-08-14T21:16:38.6329236Z 2025-08-14T21:16:38.6329317Z Args: 2025-08-14T21:16:38.6329647Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2025-08-14T21:16:38.6330051Z ``nn.Module`` 2025-08-14T21:16:38.6330407Z memory_format: user specified ``memory_format``, 2025-08-14T21:16:38.6330845Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-14T21:16:38.6331126Z 2025-08-14T21:16:38.6331228Z Returns: 2025-08-14T21:16:38.6331488Z The original module with updated ``nn.Conv2d`` 2025-08-14T21:16:38.6331741Z 2025-08-14T21:16:38.6331825Z Example: 2025-08-14T21:16:38.6332086Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:38.6332468Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-14T21:16:38.6332837Z >>> input = torch.randint( 2025-08-14T21:16:38.6333188Z ... 1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda" 2025-08-14T21:16:38.6333518Z ... ) 2025-08-14T21:16:38.6333749Z >>> model = nn.Sequential( 2025-08-14T21:16:38.6334056Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2025-08-14T21:16:38.6334379Z >>> # This is identical to: 2025-08-14T21:16:38.6334799Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2025-08-14T21:16:38.6335309Z >>> model = nn.utils.convert_conv2d_weight_memory_format( 2025-08-14T21:16:38.6335693Z ... model, torch.channels_last 2025-08-14T21:16:38.6335976Z ... ) 2025-08-14T21:16:38.6336198Z >>> out = model(input) 2025-08-14T21:16:38.6336458Z 2025-08-14T21:16:38.6336798Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6337163Z 2025-08-14T21:16:38.6337795Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=93. 2025-08-14T21:16:38.6338759Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6339329Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2025-08-14T21:16:38.6339908Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-14T21:16:38.6340546Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-14T21:16:38.6341276Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-14T21:16:38.6341939Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-14T21:16:38.6342338Z 2025-08-14T21:16:38.6342443Z .. note:: 2025-08-14T21:16:38.6342803Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2025-08-14T21:16:38.6343382Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2025-08-14T21:16:38.6343920Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-14T21:16:38.6344447Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-14T21:16:38.6345008Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2025-08-14T21:16:38.6345567Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2025-08-14T21:16:38.6346208Z even in cases where we have to apply permutation to input tensors. 2025-08-14T21:16:38.6346512Z 2025-08-14T21:16:38.6346732Z Hence our strategy here is to convert only the weight of convolution to 2025-08-14T21:16:38.6347183Z channels_last_3d. This ensures that; 2025-08-14T21:16:38.6347628Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-14T21:16:38.6348176Z outweigh overhead of permutation (if input is not in the same format). 2025-08-14T21:16:38.6348771Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-14T21:16:38.6349257Z from memory_format conversion. 2025-08-14T21:16:38.6349464Z 2025-08-14T21:16:38.6349694Z The optimal case is that, layers between convolution layers are channels 2025-08-14T21:16:38.6350255Z last compatible. Input tensor would be permuted to channels last when it 2025-08-14T21:16:38.6350805Z encounters the first convolution layer and stay in that memory format. 2025-08-14T21:16:38.6351380Z Hence following convolutions will not need to permute its input tensor. 2025-08-14T21:16:38.6351716Z 2025-08-14T21:16:38.6351944Z In case where a channels last incompatible layer is between convolution 2025-08-14T21:16:38.6352468Z layers, we need to permute the input tensor back to contiguous format 2025-08-14T21:16:38.6353001Z for that layer. The input tensor will go through the remaining layers in 2025-08-14T21:16:38.6353553Z contiguous format and be permuted to channels last when it encounters 2025-08-14T21:16:38.6354095Z another convolution layer. There's no point in propagating that 2025-08-14T21:16:38.6354614Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-14T21:16:38.6355041Z ``memory_format``. 2025-08-14T21:16:38.6355206Z 2025-08-14T21:16:38.6355445Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-14T21:16:38.6355997Z there might have been a better spot to fuse the permutation other than 2025-08-14T21:16:38.6356431Z immediately before a convolution. 2025-08-14T21:16:38.6356658Z 2025-08-14T21:16:38.6356742Z Args: 2025-08-14T21:16:38.6357070Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2025-08-14T21:16:38.6357481Z ``nn.Module`` 2025-08-14T21:16:38.6357831Z memory_format: user specified ``memory_format``, 2025-08-14T21:16:38.6358263Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-14T21:16:38.6358548Z 2025-08-14T21:16:38.6358642Z Returns: 2025-08-14T21:16:38.6358894Z The original module with updated ``nn.Conv3d`` 2025-08-14T21:16:38.6359144Z 2025-08-14T21:16:38.6359226Z Example: 2025-08-14T21:16:38.6359489Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:38.6359873Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-14T21:16:38.6360235Z >>> input = torch.randint( 2025-08-14T21:16:38.6360644Z ... 1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda" 2025-08-14T21:16:38.6360978Z ... ) 2025-08-14T21:16:38.6361210Z >>> model = nn.Sequential( 2025-08-14T21:16:38.6361519Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2025-08-14T21:16:38.6361833Z >>> # This is identical to: 2025-08-14T21:16:38.6362275Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2025-08-14T21:16:38.6362801Z >>> model = nn.utils.convert_conv3d_weight_memory_format( 2025-08-14T21:16:38.6363187Z ... model, torch.channels_last_3d 2025-08-14T21:16:38.6363474Z ... ) 2025-08-14T21:16:38.6363698Z >>> out = model(input) 2025-08-14T21:16:38.6363957Z 2025-08-14T21:16:38.6364294Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6364656Z 2025-08-14T21:16:38.6422717Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-14T21:16:38.6423683Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6424198Z Register a parametrization to a tensor in a module. 2025-08-14T21:16:38.6424451Z 2025-08-14T21:16:38.6424722Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-14T21:16:38.6425473Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-14T21:16:38.6426220Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-14T21:16:38.6426871Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-14T21:16:38.6427261Z 2025-08-14T21:16:38.6427578Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-14T21:16:38.6428215Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-14T21:16:38.6428570Z 2025-08-14T21:16:38.6428823Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-14T21:16:38.6429313Z ``module.parametrizations.weight``. 2025-08-14T21:16:38.6429536Z 2025-08-14T21:16:38.6429676Z The original tensor will be accessible under 2025-08-14T21:16:38.6430050Z ``module.parametrizations.weight.original``. 2025-08-14T21:16:38.6430315Z 2025-08-14T21:16:38.6430567Z Parametrizations may be concatenated by registering several parametrizations 2025-08-14T21:16:38.6431035Z on the same attribute. 2025-08-14T21:16:38.6431201Z 2025-08-14T21:16:38.6431437Z The training mode of a registered parametrization is updated on registration 2025-08-14T21:16:38.6431912Z to match the training mode of the host module 2025-08-14T21:16:38.6432155Z 2025-08-14T21:16:38.6432442Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-14T21:16:38.6432968Z using the context manager :func:`cached`. 2025-08-14T21:16:38.6433188Z 2025-08-14T21:16:38.6433421Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-14T21:16:38.6433772Z 2025-08-14T21:16:38.6433883Z .. code-block:: python 2025-08-14T21:16:38.6434060Z 2025-08-14T21:16:38.6434268Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-14T21:16:38.6434593Z 2025-08-14T21:16:38.6434856Z This method is called on the unparametrized tensor when the first parametrization 2025-08-14T21:16:38.6435419Z is registered to compute the initial value of the original tensor. 2025-08-14T21:16:38.6436027Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-14T21:16:38.6436445Z 2025-08-14T21:16:38.6436741Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-14T21:16:38.6437426Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-14T21:16:38.6437813Z 2025-08-14T21:16:38.6438188Z It is possible for the first parametrization to depend on several inputs. 2025-08-14T21:16:38.6438755Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-14T21:16:38.6439326Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-14T21:16:38.6439659Z 2025-08-14T21:16:38.6439996Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-14T21:16:38.6440549Z with names ``original0``, ``original1``,... 2025-08-14T21:16:38.6440785Z 2025-08-14T21:16:38.6440870Z .. note:: 2025-08-14T21:16:38.6440992Z 2025-08-14T21:16:38.6441259Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-14T21:16:38.6441775Z once to perform a number of consistency checks. 2025-08-14T21:16:38.6442269Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-14T21:16:38.6442756Z and nothing will be called otherwise. 2025-08-14T21:16:38.6442976Z 2025-08-14T21:16:38.6443072Z .. note:: 2025-08-14T21:16:38.6443193Z 2025-08-14T21:16:38.6443388Z In most situations, ``right_inverse`` will be a function such that 2025-08-14T21:16:38.6443519Z ``forward(right_inverse(X)) == X`` (see 2025-08-14T21:16:38.6443803Z `right inverse `_). 2025-08-14T21:16:38.6444091Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-14T21:16:38.6444206Z to relax this. 2025-08-14T21:16:38.6444211Z 2025-08-14T21:16:38.6444299Z .. warning:: 2025-08-14T21:16:38.6444304Z 2025-08-14T21:16:38.6444585Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-14T21:16:38.6444829Z will register a number of new parameters. If such parametrization is registered 2025-08-14T21:16:38.6445089Z after the optimizer is created, these new parameters will need to be added manually 2025-08-14T21:16:38.6445290Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-14T21:16:38.6445294Z 2025-08-14T21:16:38.6445375Z Args: 2025-08-14T21:16:38.6445588Z module (nn.Module): module on which to register the parametrization 2025-08-14T21:16:38.6445791Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-14T21:16:38.6445894Z the parametrization 2025-08-14T21:16:38.6446104Z parametrization (nn.Module): the parametrization to register 2025-08-14T21:16:38.6446192Z Keyword args: 2025-08-14T21:16:38.6446397Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-14T21:16:38.6446593Z may change the dtype and shape of the tensor. Default: `False` 2025-08-14T21:16:38.6446846Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-14T21:16:38.6446971Z Enable this flag at your own risk. 2025-08-14T21:16:38.6446982Z 2025-08-14T21:16:38.6447064Z Raises: 2025-08-14T21:16:38.6447336Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-14T21:16:38.6447340Z 2025-08-14T21:16:38.6447435Z Examples: 2025-08-14T21:16:38.6447578Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-14T21:16:38.6447686Z >>> import torch 2025-08-14T21:16:38.6447785Z >>> import torch.nn as nn 2025-08-14T21:16:38.6447919Z >>> import torch.nn.utils.parametrize as P 2025-08-14T21:16:38.6448016Z >>> 2025-08-14T21:16:38.6448120Z >>> class Symmetric(nn.Module): 2025-08-14T21:16:38.6448223Z >>> def forward(self, X): 2025-08-14T21:16:38.6448415Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-14T21:16:38.6448496Z >>> 2025-08-14T21:16:38.6448604Z >>> def right_inverse(self, A): 2025-08-14T21:16:38.6448714Z >>> return A.triu() 2025-08-14T21:16:38.6448848Z >>> 2025-08-14T21:16:38.6448944Z >>> m = nn.Linear(5, 5) 2025-08-14T21:16:38.6449119Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-14T21:16:38.6449351Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-14T21:16:38.6449447Z True 2025-08-14T21:16:38.6449547Z >>> A = torch.rand(5, 5) 2025-08-14T21:16:38.6449656Z >>> A = A + A.T # A is now symmetric 2025-08-14T21:16:38.6449866Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-14T21:16:38.6449985Z >>> print(torch.allclose(m.weight, A)) 2025-08-14T21:16:38.6450067Z True 2025-08-14T21:16:38.6450071Z 2025-08-14T21:16:38.6450190Z >>> class RankOne(nn.Module): 2025-08-14T21:16:38.6450294Z >>> def forward(self, x, y): 2025-08-14T21:16:38.6450446Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-14T21:16:38.6450581Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-14T21:16:38.6450663Z >>> 2025-08-14T21:16:38.6450785Z >>> def right_inverse(self, Z): 2025-08-14T21:16:38.6450900Z >>> # Project Z onto the rank 1 matrices 2025-08-14T21:16:38.6451048Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-14T21:16:38.6451207Z >>> # Return rescaled singular vectors 2025-08-14T21:16:38.6451325Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-14T21:16:38.6451499Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-14T21:16:38.6451595Z >>> 2025-08-14T21:16:38.6451740Z >>> linear_rank_one = P.register_parametrization( 2025-08-14T21:16:38.6451875Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-14T21:16:38.6451957Z ... ) 2025-08-14T21:16:38.6452152Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-14T21:16:38.6452247Z 1 2025-08-14T21:16:38.6452251Z 2025-08-14T21:16:38.6452333Z 2025-08-14T21:16:38.6452579Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6452584Z 2025-08-14T21:16:38.6529216Z msg = Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=979. 2025-08-14T21:16:38.6529475Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6529789Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2025-08-14T21:16:38.6529794Z 2025-08-14T21:16:38.6530015Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2025-08-14T21:16:38.6530219Z by removing the specified ``amount`` of (currently unpruned) channels 2025-08-14T21:16:38.6530411Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2025-08-14T21:16:38.6530598Z Modifies module in place (and also return the modified module) 2025-08-14T21:16:38.6530692Z by: 2025-08-14T21:16:38.6530701Z 2025-08-14T21:16:38.6530899Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-14T21:16:38.6531106Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-14T21:16:38.6531319Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-14T21:16:38.6531518Z original (unpruned) parameter is stored in a new parameter named 2025-08-14T21:16:38.6531623Z ``name+'_orig'``. 2025-08-14T21:16:38.6531627Z 2025-08-14T21:16:38.6531708Z Args: 2025-08-14T21:16:38.6531879Z module (nn.Module): module containing the tensor to prune 2025-08-14T21:16:38.6532064Z name (str): parameter name within ``module`` on which pruning 2025-08-14T21:16:38.6532152Z will act. 2025-08-14T21:16:38.6532313Z amount (int or float): quantity of parameters to prune. 2025-08-14T21:16:38.6532494Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-14T21:16:38.6532878Z fraction of parameters to prune. If ``int``, it represents the 2025-08-14T21:16:38.6533019Z absolute number of parameters to prune. 2025-08-14T21:16:38.6533208Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2025-08-14T21:16:38.6533355Z entries for argument ``p`` in :func:`torch.norm`. 2025-08-14T21:16:38.6533560Z dim (int): index of the dim along which we define channels to prune. 2025-08-14T21:16:38.6533786Z importance_scores (torch.Tensor): tensor of importance scores (of same 2025-08-14T21:16:38.6533968Z shape as module parameter) used to compute mask for pruning. 2025-08-14T21:16:38.6534193Z The values in this tensor indicate the importance of the corresponding 2025-08-14T21:16:38.6534316Z elements in the parameter being pruned. 2025-08-14T21:16:38.6534550Z If unspecified or None, the module parameter will be used in its place. 2025-08-14T21:16:38.6534554Z 2025-08-14T21:16:38.6534642Z Returns: 2025-08-14T21:16:38.6534860Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-14T21:16:38.6534865Z 2025-08-14T21:16:38.6534962Z Examples: 2025-08-14T21:16:38.6535079Z >>> from torch.nn.utils import prune 2025-08-14T21:16:38.6535192Z >>> m = prune.ln_structured( 2025-08-14T21:16:38.6535407Z ... nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf") 2025-08-14T21:16:38.6535528Z ... ) 2025-08-14T21:16:38.6535619Z 2025-08-14T21:16:38.6535863Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6535867Z 2025-08-14T21:16:38.6536413Z msg = Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1026. 2025-08-14T21:16:38.6536659Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6536663Z 2025-08-14T21:16:38.6537087Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2025-08-14T21:16:38.6537093Z 2025-08-14T21:16:38.6537200Z Modifies modules in place by: 2025-08-14T21:16:38.6537204Z 2025-08-14T21:16:38.6537401Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-14T21:16:38.6537623Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-14T21:16:38.6537824Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-14T21:16:38.6538019Z original (unpruned) parameter is stored in a new parameter named 2025-08-14T21:16:38.6538119Z ``name+'_orig'``. 2025-08-14T21:16:38.6538124Z 2025-08-14T21:16:38.6538202Z Args: 2025-08-14T21:16:38.6538403Z parameters (Iterable of (module, name) tuples): parameters of 2025-08-14T21:16:38.6538585Z the model to prune in a global fashion, i.e. by aggregating all 2025-08-14T21:16:38.6538782Z weights prior to deciding which ones to prune. module must be of 2025-08-14T21:16:38.6538942Z type :class:`nn.Module`, and name must be a string. 2025-08-14T21:16:38.6539151Z pruning_method (function): a valid pruning function from this module, 2025-08-14T21:16:38.6539319Z or a custom one implemented by the user that satisfies the 2025-08-14T21:16:38.6539550Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2025-08-14T21:16:38.6539774Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2025-08-14T21:16:38.6540003Z the corresponding parameter's importance scores tensor. The tensor 2025-08-14T21:16:38.6540202Z should be the same shape as the parameter, and is used for computing 2025-08-14T21:16:38.6540298Z mask for pruning. 2025-08-14T21:16:38.6540510Z If unspecified or None, the parameter will be used in place of its 2025-08-14T21:16:38.6540607Z importance scores. 2025-08-14T21:16:38.6540724Z kwargs: other keyword arguments such as: 2025-08-14T21:16:38.6540982Z amount (int or float): quantity of parameters to prune across the 2025-08-14T21:16:38.6541085Z specified parameters. 2025-08-14T21:16:38.6541266Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-14T21:16:38.6541455Z fraction of parameters to prune. If ``int``, it represents the 2025-08-14T21:16:38.6541581Z absolute number of parameters to prune. 2025-08-14T21:16:38.6541587Z 2025-08-14T21:16:38.6541681Z Raises: 2025-08-14T21:16:38.6541824Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2025-08-14T21:16:38.6541828Z 2025-08-14T21:16:38.6541906Z Note: 2025-08-14T21:16:38.6542120Z Since global structured pruning doesn't make much sense unless the 2025-08-14T21:16:38.6542308Z norm is normalized by the size of the parameter, we now limit the 2025-08-14T21:16:38.6542463Z scope of global pruning to unstructured methods. 2025-08-14T21:16:38.6542467Z 2025-08-14T21:16:38.6542550Z Examples: 2025-08-14T21:16:38.6542664Z >>> from torch.nn.utils import prune 2025-08-14T21:16:38.6542793Z >>> from collections import OrderedDict 2025-08-14T21:16:38.6542889Z >>> net = nn.Sequential( 2025-08-14T21:16:38.6542978Z ... OrderedDict( 2025-08-14T21:16:38.6543070Z ... [ 2025-08-14T21:16:38.6543181Z ... ("first", nn.Linear(10, 4)), 2025-08-14T21:16:38.6543318Z ... ("second", nn.Linear(4, 1)), 2025-08-14T21:16:38.6543436Z ... ] 2025-08-14T21:16:38.6543515Z ... ) 2025-08-14T21:16:38.6543595Z ... ) 2025-08-14T21:16:38.6543709Z >>> parameters_to_prune = ( 2025-08-14T21:16:38.6543807Z ... (net.first, "weight"), 2025-08-14T21:16:38.6543921Z ... (net.second, "weight"), 2025-08-14T21:16:38.6544000Z ... ) 2025-08-14T21:16:38.6544103Z >>> prune.global_unstructured( 2025-08-14T21:16:38.6544215Z ... parameters_to_prune, 2025-08-14T21:16:38.6544338Z ... pruning_method=prune.L1Unstructured, 2025-08-14T21:16:38.6544423Z ... amount=10, 2025-08-14T21:16:38.6544519Z ... ) 2025-08-14T21:16:38.6544729Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2025-08-14T21:16:38.6544812Z tensor(10) 2025-08-14T21:16:38.6544816Z 2025-08-14T21:16:38.6544832Z 2025-08-14T21:16:38.6545073Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6545080Z 2025-08-14T21:16:38.6545580Z msg = Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1149. 2025-08-14T21:16:38.6545920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6546291Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2025-08-14T21:16:38.6546296Z 2025-08-14T21:16:38.6546514Z Modifies module in place (and also return the modified module) by: 2025-08-14T21:16:38.6546518Z 2025-08-14T21:16:38.6546720Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-14T21:16:38.6546927Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-14T21:16:38.6547139Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-14T21:16:38.6547336Z original (unpruned) parameter is stored in a new parameter named 2025-08-14T21:16:38.6547442Z ``name+'_orig'``. 2025-08-14T21:16:38.6547449Z 2025-08-14T21:16:38.6547529Z Args: 2025-08-14T21:16:38.6547701Z module (nn.Module): module containing the tensor to prune 2025-08-14T21:16:38.6547885Z name (str): parameter name within ``module`` on which pruning 2025-08-14T21:16:38.6547971Z will act. 2025-08-14T21:16:38.6548139Z mask (Tensor): binary mask to be applied to the parameter. 2025-08-14T21:16:38.6548143Z 2025-08-14T21:16:38.6548242Z Returns: 2025-08-14T21:16:38.6548449Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-14T21:16:38.6548510Z 2025-08-14T21:16:38.6548608Z Examples: 2025-08-14T21:16:38.6548724Z >>> from torch.nn.utils import prune 2025-08-14T21:16:38.6548827Z >>> m = prune.custom_from_mask( 2025-08-14T21:16:38.6549005Z ... nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0]) 2025-08-14T21:16:38.6549090Z ... ) 2025-08-14T21:16:38.6549187Z >>> print(m.bias_mask) 2025-08-14T21:16:38.6549292Z tensor([0., 1., 0.]) 2025-08-14T21:16:38.6549298Z 2025-08-14T21:16:38.6549376Z 2025-08-14T21:16:38.6549623Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6549639Z 2025-08-14T21:16:38.6596677Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py line=350. 2025-08-14T21:16:38.6596929Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.6597081Z Pad a packed batch of variable length sequences. 2025-08-14T21:16:38.6597090Z 2025-08-14T21:16:38.6597259Z It is an inverse operation to :func:`pack_padded_sequence`. 2025-08-14T21:16:38.6597263Z 2025-08-14T21:16:38.6597547Z The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``) 2025-08-14T21:16:38.6597778Z or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest 2025-08-14T21:16:38.6597981Z sequence and ``B`` is the batch size. 2025-08-14T21:16:38.6598025Z 2025-08-14T21:16:38.6598123Z Example: 2025-08-14T21:16:38.6598356Z >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence 2025-08-14T21:16:38.6598516Z >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]]) 2025-08-14T21:16:38.6598607Z >>> lens = [2, 1, 3] 2025-08-14T21:16:38.6598719Z >>> packed = pack_padded_sequence( 2025-08-14T21:16:38.6598892Z ... seq, lens, batch_first=True, enforce_sorted=False 2025-08-14T21:16:38.6598979Z ... ) 2025-08-14T21:16:38.6599062Z >>> packed 2025-08-14T21:16:38.6599303Z PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]), 2025-08-14T21:16:38.6599508Z sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0])) 2025-08-14T21:16:38.6599751Z >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True) 2025-08-14T21:16:38.6599843Z >>> seq_unpacked 2025-08-14T21:16:38.6599934Z tensor([[1, 2, 0], 2025-08-14T21:16:38.6600030Z [3, 0, 0], 2025-08-14T21:16:38.6600113Z [4, 5, 6]]) 2025-08-14T21:16:38.6600203Z >>> lens_unpacked 2025-08-14T21:16:38.6600322Z tensor([2, 1, 3]) 2025-08-14T21:16:38.6600326Z 2025-08-14T21:16:38.6600422Z .. note:: 2025-08-14T21:16:38.6600574Z :attr:`total_length` is useful to implement the 2025-08-14T21:16:38.6600790Z ``pack sequence -> recurrent network -> unpack sequence`` pattern in a 2025-08-14T21:16:38.6601005Z :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`. 2025-08-14T21:16:38.6601247Z See :ref:`this FAQ section ` for 2025-08-14T21:16:38.6601330Z details. 2025-08-14T21:16:38.6601334Z 2025-08-14T21:16:38.6601413Z Args: 2025-08-14T21:16:38.6601555Z sequence (PackedSequence): batch to pad 2025-08-14T21:16:38.6601782Z batch_first (bool, optional): if ``True``, the output will be in ``B x T x *`` 2025-08-14T21:16:38.6601911Z format, ``T x B x *`` otherwise. 2025-08-14T21:16:38.6602096Z padding_value (float, optional): values for padded elements. 2025-08-14T21:16:38.6602316Z total_length (int, optional): if not ``None``, the output will be padded to 2025-08-14T21:16:38.6602558Z have length :attr:`total_length`. This method will throw :class:`ValueError` 2025-08-14T21:16:38.6602739Z if :attr:`total_length` is less than the max sequence length in 2025-08-14T21:16:38.6602910Z :attr:`sequence`. 2025-08-14T21:16:38.6602915Z 2025-08-14T21:16:38.6603010Z Returns: 2025-08-14T21:16:38.6603192Z Tuple of Tensor containing the padded sequence, and a Tensor 2025-08-14T21:16:38.6603393Z containing the list of lengths of each sequence in the batch. 2025-08-14T21:16:38.6603611Z Batch elements will be re-ordered as they were ordered originally when 2025-08-14T21:16:38.6603822Z the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``. 2025-08-14T21:16:38.6603916Z 2025-08-14T21:16:38.6604153Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.6604157Z 2025-08-14T21:16:38.7271800Z msg = Cannot scrape callname=SequentialLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=808. 2025-08-14T21:16:38.7272085Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7272404Z Contains a list of schedulers expected to be called sequentially during the optimization process. 2025-08-14T21:16:38.7272409Z 2025-08-14T21:16:38.7272775Z Specifically, the schedulers will be called according to the milestone points, which should provide exact 2025-08-14T21:16:38.7272983Z intervals by which each scheduler should be called at a given epoch. 2025-08-14T21:16:38.7273086Z 2025-08-14T21:16:38.7273183Z Args: 2025-08-14T21:16:38.7273384Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:38.7273522Z schedulers (list): List of chained schedulers. 2025-08-14T21:16:38.7273740Z milestones (list): List of integers that reflects milestone points. 2025-08-14T21:16:38.7273906Z last_epoch (int): The index of last epoch. Default: -1. 2025-08-14T21:16:38.7273910Z 2025-08-14T21:16:38.7274010Z Example: 2025-08-14T21:16:38.7274107Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.7274254Z >>> # Assuming optimizer uses lr = 0.05 for all groups 2025-08-14T21:16:38.7274374Z >>> # lr = 0.005 if epoch == 0 2025-08-14T21:16:38.7274475Z >>> # lr = 0.005 if epoch == 1 2025-08-14T21:16:38.7274574Z >>> # lr = 0.005 if epoch == 2 2025-08-14T21:16:38.7274672Z >>> # ... 2025-08-14T21:16:38.7274771Z >>> # lr = 0.05 if epoch == 20 2025-08-14T21:16:38.7274871Z >>> # lr = 0.045 if epoch == 21 2025-08-14T21:16:38.7274979Z >>> # lr = 0.0405 if epoch == 22 2025-08-14T21:16:38.7275172Z >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20) 2025-08-14T21:16:38.7275336Z >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9) 2025-08-14T21:16:38.7275443Z >>> scheduler = SequentialLR( 2025-08-14T21:16:38.7275533Z ... optimizer, 2025-08-14T21:16:38.7275671Z ... schedulers=[scheduler1, scheduler2], 2025-08-14T21:16:38.7275765Z ... milestones=[20], 2025-08-14T21:16:38.7275844Z ... ) 2025-08-14T21:16:38.7276112Z >>> for epoch in range(100): 2025-08-14T21:16:38.7276200Z >>> train(...) 2025-08-14T21:16:38.7276290Z >>> validate(...) 2025-08-14T21:16:38.7276400Z >>> scheduler.step() 2025-08-14T21:16:38.7276404Z 2025-08-14T21:16:38.7276588Z .. image:: ../scripts/lr_scheduler_images/SequentialLR.png 2025-08-14T21:16:38.7276682Z 2025-08-14T21:16:38.7276922Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7276930Z 2025-08-14T21:16:38.7306801Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-14T21:16:38.7307072Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:38.7307244Z Reduce learning rate when a metric has stopped improving. 2025-08-14T21:16:38.7307249Z 2025-08-14T21:16:38.7307451Z Models often benefit from reducing the learning rate by a factor 2025-08-14T21:16:38.7307735Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-14T21:16:38.7307924Z quantity and if no improvement is seen for a 'patience' number 2025-08-14T21:16:38.7308051Z of epochs, the learning rate is reduced. 2025-08-14T21:16:38.7308056Z 2025-08-14T21:16:38.7308138Z Args: 2025-08-14T21:16:38.7308284Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:38.7308431Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-14T21:16:38.7308585Z be reduced when the quantity monitored has stopped 2025-08-14T21:16:38.7308753Z decreasing; in `max` mode it will be reduced when the 2025-08-14T21:16:38.7308935Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-14T21:16:38.7309099Z factor (float): Factor by which the learning rate will be 2025-08-14T21:16:38.7309245Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-14T21:16:38.7309456Z patience (int): The number of allowed epochs with no improvement after 2025-08-14T21:16:38.7309596Z which the learning rate will be reduced. 2025-08-14T21:16:38.7309813Z For example, consider the case of having no patience (`patience = 0`). 2025-08-14T21:16:38.7310160Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-14T21:16:38.7310411Z In the second epoch, if the performance is worse than the baseline, 2025-08-14T21:16:38.7310599Z we have what is considered an intolerable epoch. 2025-08-14T21:16:38.7310854Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-14T21:16:38.7311028Z the learning rate is reduced at the end of this epoch. 2025-08-14T21:16:38.7311333Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-14T21:16:38.7311649Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-14T21:16:38.7311766Z the learning rate is not adjusted. 2025-08-14T21:16:38.7311856Z Default: 10. 2025-08-14T21:16:38.7312048Z threshold (float): Threshold for measuring the new optimum, 2025-08-14T21:16:38.7312200Z to only focus on significant changes. Default: 1e-4. 2025-08-14T21:16:38.7312368Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-14T21:16:38.7312537Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-14T21:16:38.7312676Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-14T21:16:38.7312836Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-14T21:16:38.7313007Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-14T21:16:38.7313170Z cooldown (int): Number of epochs to wait before resuming 2025-08-14T21:16:38.7313350Z normal operation after lr has been reduced. Default: 0. 2025-08-14T21:16:38.7313510Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-14T21:16:38.7313663Z lower bound on the learning rate of all param groups 2025-08-14T21:16:38.7313800Z or each group respectively. Default: 0. 2025-08-14T21:16:38.7313968Z eps (float): Minimal decay applied to lr. If the difference 2025-08-14T21:16:38.7314152Z between new and old lr is smaller than eps, the update is 2025-08-14T21:16:38.7314257Z ignored. Default: 1e-8. 2025-08-14T21:16:38.7314262Z 2025-08-14T21:16:38.7314346Z Example: 2025-08-14T21:16:38.7314453Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.7314674Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-14T21:16:38.7314824Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-14T21:16:38.7314936Z >>> for epoch in range(10): 2025-08-14T21:16:38.7315027Z >>> train(...) 2025-08-14T21:16:38.7315201Z >>> val_loss = validate(...) 2025-08-14T21:16:38.7315347Z >>> # Note that step should be called after validate() 2025-08-14T21:16:38.7315454Z >>> scheduler.step(val_loss) 2025-08-14T21:16:38.7315459Z 2025-08-14T21:16:38.7315708Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-14T21:16:38.7315830Z 2025-08-14T21:16:38.7316315Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-08-14T21:16:38.7316336Z 2025-08-14T21:16:38.7316437Z scheduler.step(val_loss) 2025-08-14T21:16:38.7316516Z ^ 2025-08-14T21:16:38.7317038Z msg = Cannot scrape callname=CyclicLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1430. 2025-08-14T21:16:38.7317287Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7317594Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). 2025-08-14T21:16:38.7317615Z 2025-08-14T21:16:38.7317883Z The policy cycles the learning rate between two boundaries with a constant frequency, 2025-08-14T21:16:38.7318128Z as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_. 2025-08-14T21:16:38.7318362Z The distance between the two boundaries can be scaled on a per-iteration 2025-08-14T21:16:38.7318501Z or per-cycle basis. 2025-08-14T21:16:38.7318536Z 2025-08-14T21:16:38.7318769Z Cyclical learning rate policy changes the learning rate after every batch. 2025-08-14T21:16:38.7318972Z `step` should be called after a batch has been used for training. 2025-08-14T21:16:38.7318976Z 2025-08-14T21:16:38.7319176Z This class has three built-in policies, as put forth in the paper: 2025-08-14T21:16:38.7319181Z 2025-08-14T21:16:38.7319390Z * "triangular": A basic triangular cycle without amplitude scaling. 2025-08-14T21:16:38.7319675Z * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle. 2025-08-14T21:16:38.7319986Z * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}` 2025-08-14T21:16:38.7320099Z at each cycle iteration. 2025-08-14T21:16:38.7320103Z 2025-08-14T21:16:38.7320370Z This implementation was adapted from the github repo: `bckenstler/CLR`_ 2025-08-14T21:16:38.7320377Z 2025-08-14T21:16:38.7320460Z Args: 2025-08-14T21:16:38.7320590Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:38.7320774Z base_lr (float or list): Initial learning rate which is the 2025-08-14T21:16:38.7320937Z lower boundary in the cycle for each parameter group. 2025-08-14T21:16:38.7321124Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-14T21:16:38.7321263Z for each parameter group. Functionally, 2025-08-14T21:16:38.7321412Z it defines the cycle amplitude (max_lr - base_lr). 2025-08-14T21:16:38.7321539Z The lr at any cycle is the sum of base_lr 2025-08-14T21:16:38.7321688Z and some scaling of the amplitude; therefore 2025-08-14T21:16:38.7321826Z max_lr may not actually be reached depending on 2025-08-14T21:16:38.7321932Z scaling function. 2025-08-14T21:16:38.7322092Z step_size_up (int): Number of training iterations in the 2025-08-14T21:16:38.7322220Z increasing half of a cycle. Default: 2000 2025-08-14T21:16:38.7322400Z step_size_down (int): Number of training iterations in the 2025-08-14T21:16:38.7322562Z decreasing half of a cycle. If step_size_down is None, 2025-08-14T21:16:38.7322684Z it is set to step_size_up. Default: None 2025-08-14T21:16:38.7322852Z mode (str): One of {triangular, triangular2, exp_range}. 2025-08-14T21:16:38.7322994Z Values correspond to policies detailed above. 2025-08-14T21:16:38.7323148Z If scale_fn is not None, this argument is ignored. 2025-08-14T21:16:38.7323322Z Default: 'triangular' 2025-08-14T21:16:38.7323562Z gamma (float): Constant in 'exp_range' scaling function: 2025-08-14T21:16:38.7323734Z gamma**(cycle iterations) 2025-08-14T21:16:38.7323826Z Default: 1.0 2025-08-14T21:16:38.7324008Z scale_fn (function): Custom scaling policy defined by a single 2025-08-14T21:16:38.7324136Z argument lambda function, where 2025-08-14T21:16:38.7324248Z 0 <= scale_fn(x) <= 1 for all x >= 0. 2025-08-14T21:16:38.7324367Z If specified, then 'mode' is ignored. 2025-08-14T21:16:38.7324472Z Default: None 2025-08-14T21:16:38.7324594Z scale_mode (str): {'cycle', 'iterations'}. 2025-08-14T21:16:38.7324731Z Defines whether scale_fn is evaluated on 2025-08-14T21:16:38.7324858Z cycle number or cycle iterations (training 2025-08-14T21:16:38.7324972Z iterations since start of cycle). 2025-08-14T21:16:38.7325082Z Default: 'cycle' 2025-08-14T21:16:38.7325272Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-14T21:16:38.7325450Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-14T21:16:38.7325557Z Default: True 2025-08-14T21:16:38.7325762Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-14T21:16:38.7326009Z for each parameter group. Note that momentum is cycled inversely 2025-08-14T21:16:38.7326199Z to learning rate; at the peak of a cycle, momentum is 2025-08-14T21:16:38.7326333Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-14T21:16:38.7326432Z Default: 0.8 2025-08-14T21:16:38.7326637Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-14T21:16:38.7326760Z for each parameter group. Functionally, 2025-08-14T21:16:38.7326958Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-14T21:16:38.7327135Z The momentum at any cycle is the difference of max_momentum 2025-08-14T21:16:38.7327280Z and some scaling of the amplitude; therefore 2025-08-14T21:16:38.7327442Z base_momentum may not actually be reached depending on 2025-08-14T21:16:38.7327613Z scaling function. Note that momentum is cycled inversely 2025-08-14T21:16:38.7327830Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-14T21:16:38.7327938Z and learning rate is 'base_lr' 2025-08-14T21:16:38.7328026Z Default: 0.9 2025-08-14T21:16:38.7328248Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-14T21:16:38.7328457Z resuming a training job. Since `step()` should be invoked after each 2025-08-14T21:16:38.7328662Z batch instead of after each epoch, this number represents the total 2025-08-14T21:16:38.7328890Z number of *batches* computed, not the total number of epochs computed. 2025-08-14T21:16:38.7329078Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-14T21:16:38.7329182Z Default: -1 2025-08-14T21:16:38.7329187Z 2025-08-14T21:16:38.7329270Z Example: 2025-08-14T21:16:38.7329367Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.7329599Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-14T21:16:38.7329756Z >>> scheduler = torch.optim.lr_scheduler.CyclicLR( 2025-08-14T21:16:38.7329851Z ... optimizer, 2025-08-14T21:16:38.7329957Z ... base_lr=0.01, 2025-08-14T21:16:38.7330046Z ... max_lr=0.1, 2025-08-14T21:16:38.7330158Z ... step_size_up=10, 2025-08-14T21:16:38.7330239Z ... ) 2025-08-14T21:16:38.7330388Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-14T21:16:38.7330506Z >>> for epoch in range(10): 2025-08-14T21:16:38.7330611Z >>> for batch in data_loader: 2025-08-14T21:16:38.7330759Z >>> train_batch(...) 2025-08-14T21:16:38.7330874Z >>> scheduler.step() 2025-08-14T21:16:38.7330878Z 2025-08-14T21:16:38.7331032Z .. image:: ../scripts/lr_scheduler_images/CyclicLR.png 2025-08-14T21:16:38.7331037Z 2025-08-14T21:16:38.7331350Z .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186 2025-08-14T21:16:38.7331515Z .. _bckenstler/CLR: https://github.com/bckenstler/CLR 2025-08-14T21:16:38.7331598Z 2025-08-14T21:16:38.7331856Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7331861Z 2025-08-14T21:16:38.7332480Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1722. 2025-08-14T21:16:38.7332747Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7332995Z Set the learning rate of each parameter group using a cosine annealing schedule. 2025-08-14T21:16:38.7332999Z 2025-08-14T21:16:38.7333172Z The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}` 2025-08-14T21:16:38.7333412Z is the number of epochs since the last restart and :math:`T_{i}` is the number 2025-08-14T21:16:38.7333542Z of epochs between two warm restarts in SGDR: 2025-08-14T21:16:38.7333600Z 2025-08-14T21:16:38.7333698Z .. math:: 2025-08-14T21:16:38.7333873Z \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 + 2025-08-14T21:16:38.7334035Z \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right) 2025-08-14T21:16:38.7334040Z 2025-08-14T21:16:38.7334215Z When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`. 2025-08-14T21:16:38.7334397Z When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`. 2025-08-14T21:16:38.7334401Z 2025-08-14T21:16:38.7334513Z It has been proposed in 2025-08-14T21:16:38.7334675Z `SGDR: Stochastic Gradient Descent with Warm Restarts`_. 2025-08-14T21:16:38.7334679Z 2025-08-14T21:16:38.7334766Z Args: 2025-08-14T21:16:38.7334908Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:38.7335064Z T_0 (int): Number of iterations until the first restart. 2025-08-14T21:16:38.7335337Z T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1. 2025-08-14T21:16:38.7335535Z eta_min (float, optional): Minimum learning rate. Default: 0. 2025-08-14T21:16:38.7335743Z last_epoch (int, optional): The index of the last epoch. Default: -1. 2025-08-14T21:16:38.7335747Z 2025-08-14T21:16:38.7335922Z .. _SGDR\: Stochastic Gradient Descent with Warm Restarts: 2025-08-14T21:16:38.7336033Z https://arxiv.org/abs/1608.03983 2025-08-14T21:16:38.7336038Z 2025-08-14T21:16:38.7336120Z Example: 2025-08-14T21:16:38.7336227Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.7336402Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05) 2025-08-14T21:16:38.7336627Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts( 2025-08-14T21:16:38.7336736Z ... optimizer, T_0=20 2025-08-14T21:16:38.7336815Z ... ) 2025-08-14T21:16:38.7336926Z >>> for epoch in range(100): 2025-08-14T21:16:38.7337014Z >>> train(...) 2025-08-14T21:16:38.7337108Z >>> validate(...) 2025-08-14T21:16:38.7337220Z >>> scheduler.step() 2025-08-14T21:16:38.7337224Z 2025-08-14T21:16:38.7337458Z .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png 2025-08-14T21:16:38.7337536Z 2025-08-14T21:16:38.7337787Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7337792Z 2025-08-14T21:16:38.7345932Z msg = Cannot scrape callname=OneCycleLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1872. 2025-08-14T21:16:38.7346202Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7346619Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy. 2025-08-14T21:16:38.7346626Z 2025-08-14T21:16:38.7346910Z The 1cycle policy anneals the learning rate from an initial learning rate to some maximum 2025-08-14T21:16:38.7347201Z learning rate and then from that maximum learning rate to some minimum learning rate much 2025-08-14T21:16:38.7347317Z lower than the initial learning rate. 2025-08-14T21:16:38.7347550Z This policy was initially described in the paper `Super-Convergence: 2025-08-14T21:16:38.7347755Z Very Fast Training of Neural Networks Using Large Learning Rates`_. 2025-08-14T21:16:38.7347785Z 2025-08-14T21:16:38.7348031Z The 1cycle learning rate policy changes the learning rate after every batch. 2025-08-14T21:16:38.7348220Z `step` should be called after a batch has been used for training. 2025-08-14T21:16:38.7348225Z 2025-08-14T21:16:38.7348331Z This scheduler is not chainable. 2025-08-14T21:16:38.7348350Z 2025-08-14T21:16:38.7348584Z Note also that the total number of steps in the cycle can be determined in one 2025-08-14T21:16:38.7348712Z of two ways (listed in order of precedence): 2025-08-14T21:16:38.7348717Z 2025-08-14T21:16:38.7348874Z #. A value for total_steps is explicitly provided. 2025-08-14T21:16:38.7349048Z #. A number of epochs (epochs) and a number of steps per epoch 2025-08-14T21:16:38.7349191Z (steps_per_epoch) are provided. 2025-08-14T21:16:38.7349388Z In this case, the number of total steps is inferred by 2025-08-14T21:16:38.7349504Z total_steps = epochs * steps_per_epoch 2025-08-14T21:16:38.7349508Z 2025-08-14T21:16:38.7349747Z You must either provide a value for total_steps or provide a value for both 2025-08-14T21:16:38.7349849Z epochs and steps_per_epoch. 2025-08-14T21:16:38.7349853Z 2025-08-14T21:16:38.7350139Z The default behaviour of this scheduler follows the fastai implementation of 1cycle, which 2025-08-14T21:16:38.7350433Z claims that "unpublished work has shown even better results by using only two phases". To 2025-08-14T21:16:38.7350664Z mimic the behaviour of the original paper instead, set ``three_phase=True``. 2025-08-14T21:16:38.7350669Z 2025-08-14T21:16:38.7350762Z Args: 2025-08-14T21:16:38.7350890Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:38.7351082Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-14T21:16:38.7351203Z for each parameter group. 2025-08-14T21:16:38.7351396Z total_steps (int): The total number of steps in the cycle. Note that 2025-08-14T21:16:38.7351598Z if a value is not provided here, then it must be inferred by providing 2025-08-14T21:16:38.7351730Z a value for epochs and steps_per_epoch. 2025-08-14T21:16:38.7351820Z Default: None 2025-08-14T21:16:38.7352010Z epochs (int): The number of epochs to train for. This is used along 2025-08-14T21:16:38.7352256Z with steps_per_epoch in order to infer the total number of steps in the cycle 2025-08-14T21:16:38.7352386Z if a value for total_steps is not provided. 2025-08-14T21:16:38.7352489Z Default: None 2025-08-14T21:16:38.7352704Z steps_per_epoch (int): The number of steps per epoch to train for. This is 2025-08-14T21:16:38.7352926Z used along with epochs in order to infer the total number of steps in the 2025-08-14T21:16:38.7353087Z cycle if a value for total_steps is not provided. 2025-08-14T21:16:38.7353177Z Default: None 2025-08-14T21:16:38.7353396Z pct_start (float): The percentage of the cycle (in number of steps) spent 2025-08-14T21:16:38.7353519Z increasing the learning rate. 2025-08-14T21:16:38.7353608Z Default: 0.3 2025-08-14T21:16:38.7353737Z anneal_strategy (str): {'cos', 'linear'} 2025-08-14T21:16:38.7353971Z Specifies the annealing strategy: "cos" for cosine annealing, "linear" for 2025-08-14T21:16:38.7354118Z linear annealing. 2025-08-14T21:16:38.7354222Z Default: 'cos' 2025-08-14T21:16:38.7354411Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-14T21:16:38.7354589Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-14T21:16:38.7354690Z Default: True 2025-08-14T21:16:38.7354901Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-14T21:16:38.7355109Z for each parameter group. Note that momentum is cycled inversely 2025-08-14T21:16:38.7355266Z to learning rate; at the peak of a cycle, momentum is 2025-08-14T21:16:38.7355401Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-14T21:16:38.7355504Z Default: 0.85 2025-08-14T21:16:38.7355705Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-14T21:16:38.7355830Z for each parameter group. Functionally, 2025-08-14T21:16:38.7356036Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-14T21:16:38.7356156Z Note that momentum is cycled inversely 2025-08-14T21:16:38.7356357Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-14T21:16:38.7356478Z and learning rate is 'base_lr' 2025-08-14T21:16:38.7356600Z Default: 0.95 2025-08-14T21:16:38.7356787Z div_factor (float): Determines the initial learning rate via 2025-08-14T21:16:38.7356920Z initial_lr = max_lr/div_factor 2025-08-14T21:16:38.7357007Z Default: 25 2025-08-14T21:16:38.7357215Z final_div_factor (float): Determines the minimum learning rate via 2025-08-14T21:16:38.7357329Z min_lr = initial_lr/final_div_factor 2025-08-14T21:16:38.7357417Z Default: 1e4 2025-08-14T21:16:38.7357666Z three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the 2025-08-14T21:16:38.7357913Z learning rate according to 'final_div_factor' instead of modifying the second 2025-08-14T21:16:38.7358153Z phase (the first two phases will be symmetrical about the step indicated by 2025-08-14T21:16:38.7358244Z 'pct_start'). 2025-08-14T21:16:38.7358453Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-14T21:16:38.7358675Z resuming a training job. Since `step()` should be invoked after each 2025-08-14T21:16:38.7358884Z batch instead of after each epoch, this number represents the total 2025-08-14T21:16:38.7359099Z number of *batches* computed, not the total number of epochs computed. 2025-08-14T21:16:38.7359293Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-14T21:16:38.7359382Z Default: -1 2025-08-14T21:16:38.7359386Z 2025-08-14T21:16:38.7359482Z Example: 2025-08-14T21:16:38.7359577Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.7359727Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-14T21:16:38.7359962Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9) 2025-08-14T21:16:38.7360116Z >>> scheduler = torch.optim.lr_scheduler.OneCycleLR( 2025-08-14T21:16:38.7360317Z ... optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10 2025-08-14T21:16:38.7360412Z ... ) 2025-08-14T21:16:38.7360511Z >>> for epoch in range(10): 2025-08-14T21:16:38.7360616Z >>> for batch in data_loader: 2025-08-14T21:16:38.7360723Z >>> train_batch(...) 2025-08-14T21:16:38.7360821Z >>> optimizer.step() 2025-08-14T21:16:38.7360929Z >>> scheduler.step() 2025-08-14T21:16:38.7360933Z 2025-08-14T21:16:38.7361095Z .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png 2025-08-14T21:16:38.7361099Z 2025-08-14T21:16:38.7361377Z .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates: 2025-08-14T21:16:38.7361559Z https://arxiv.org/abs/1708.07120 2025-08-14T21:16:38.7361638Z 2025-08-14T21:16:38.7361880Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7361896Z 2025-08-14T21:16:38.7482075Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py line=867. 2025-08-14T21:16:38.7482362Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7482469Z Load the optimizer state. 2025-08-14T21:16:38.7482475Z 2025-08-14T21:16:38.7482556Z Args: 2025-08-14T21:16:38.7482758Z state_dict (dict): optimizer state. Should be an object returned 2025-08-14T21:16:38.7482874Z from a call to :meth:`state_dict`. 2025-08-14T21:16:38.7482879Z 2025-08-14T21:16:38.7482971Z .. warning:: 2025-08-14T21:16:38.7483308Z Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`, 2025-08-14T21:16:38.7483515Z as calling it beforehand will overwrite the loaded learning rates. 2025-08-14T21:16:38.7483520Z 2025-08-14T21:16:38.7483616Z .. note:: 2025-08-14T21:16:38.7483891Z The names of the parameters (if they exist under the "param_names" key of each param group 2025-08-14T21:16:38.7484196Z in :meth:`state_dict`) will not affect the loading process. 2025-08-14T21:16:38.7484563Z To use the parameters' names for custom cases (such as when the parameters in the loaded state dict 2025-08-14T21:16:38.7484715Z differ from those initialized in the optimizer), 2025-08-14T21:16:38.7485021Z a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict 2025-08-14T21:16:38.7485114Z accordingly. 2025-08-14T21:16:38.7485389Z If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override 2025-08-14T21:16:38.7485709Z the current names, if present, in the optimizer state. If they do not exist in loaded state dict, 2025-08-14T21:16:38.7485864Z the optimizer ``param_names`` will remain unchanged. 2025-08-14T21:16:38.7485868Z 2025-08-14T21:16:38.7485952Z Example: 2025-08-14T21:16:38.7486063Z >>> # xdoctest: +SKIP 2025-08-14T21:16:38.7486180Z >>> model = torch.nn.Linear(10, 10) 2025-08-14T21:16:38.7486354Z >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4) 2025-08-14T21:16:38.7486511Z >>> scheduler1 = torch.optim.lr_scheduler.LinearLR( 2025-08-14T21:16:38.7486598Z ... optim, 2025-08-14T21:16:38.7486708Z ... start_factor=0.1, 2025-08-14T21:16:38.7486800Z ... end_factor=1, 2025-08-14T21:16:38.7486893Z ... total_iters=20, 2025-08-14T21:16:38.7486984Z ... ) 2025-08-14T21:16:38.7487169Z >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR( 2025-08-14T21:16:38.7487261Z ... optim, 2025-08-14T21:16:38.7487378Z ... T_max=80, 2025-08-14T21:16:38.7487473Z ... eta_min=3e-5, 2025-08-14T21:16:38.7487567Z ... ) 2025-08-14T21:16:38.7487708Z >>> lr = torch.optim.lr_scheduler.SequentialLR( 2025-08-14T21:16:38.7487795Z ... optim, 2025-08-14T21:16:38.7487942Z ... schedulers=[scheduler1, scheduler2], 2025-08-14T21:16:38.7488042Z ... milestones=[20], 2025-08-14T21:16:38.7488124Z ... ) 2025-08-14T21:16:38.7488278Z >>> lr.load_state_dict(torch.load("./save_seq.pt")) 2025-08-14T21:16:38.7488474Z >>> # now load the optimizer checkpoint after loading the LRScheduler 2025-08-14T21:16:38.7488636Z >>> optim.load_state_dict(torch.load("./save_optim.pt")) 2025-08-14T21:16:38.7488655Z 2025-08-14T21:16:38.7488736Z 2025-08-14T21:16:38.7488977Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7489083Z 2025-08-14T21:16:38.7650246Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=120. 2025-08-14T21:16:38.7650528Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7650895Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2025-08-14T21:16:38.7650905Z 2025-08-14T21:16:38.7651136Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2025-08-14T21:16:38.7651363Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2025-08-14T21:16:38.7651574Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2025-08-14T21:16:38.7651661Z (UAI 2018). 2025-08-14T21:16:38.7651666Z 2025-08-14T21:16:38.7651885Z Exponential Moving Average is a variation of `Polyak averaging`_, 2025-08-14T21:16:38.7652120Z but using exponential weights instead of equal weights across iterations. 2025-08-14T21:16:38.7652124Z 2025-08-14T21:16:38.7652366Z AveragedModel class creates a copy of the provided module :attr:`model` 2025-08-14T21:16:38.7652581Z on the device :attr:`device` and allows to compute running averages of the 2025-08-14T21:16:38.7652690Z parameters of the :attr:`model`. 2025-08-14T21:16:38.7652765Z 2025-08-14T21:16:38.7652865Z Args: 2025-08-14T21:16:38.7653015Z model (torch.nn.Module): model to use with SWA/EMA 2025-08-14T21:16:38.7653278Z device (torch.device, optional): if provided, the averaged model will be 2025-08-14T21:16:38.7653396Z stored on the :attr:`device` 2025-08-14T21:16:38.7653591Z avg_fn (function, optional): the averaging function used to update 2025-08-14T21:16:38.7653800Z parameters; the function must take in the current value of the 2025-08-14T21:16:38.7654010Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2025-08-14T21:16:38.7654201Z parameter, and the number of models already averaged; if None, 2025-08-14T21:16:38.7654369Z an equally weighted average is used (default: None) 2025-08-14T21:16:38.7654585Z multi_avg_fn (function, optional): the averaging function used to update 2025-08-14T21:16:38.7654813Z parameters inplace; the function must take in the current values of the 2025-08-14T21:16:38.7655084Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2025-08-14T21:16:38.7655305Z parameters as a list, and the number of models already averaged; if None, 2025-08-14T21:16:38.7655472Z an equally weighted average is used (default: None) 2025-08-14T21:16:38.7655672Z use_buffers (bool): if ``True``, it will compute running averages for 2025-08-14T21:16:38.7655889Z both the parameters and the buffers of the model. (default: ``False``) 2025-08-14T21:16:38.7655894Z 2025-08-14T21:16:38.7655990Z Example: 2025-08-14T21:16:38.7656119Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:38.7656239Z >>> loader, optimizer, model, loss_fn = ... 2025-08-14T21:16:38.7656415Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2025-08-14T21:16:38.7656629Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2025-08-14T21:16:38.7656752Z >>> T_max=300) 2025-08-14T21:16:38.7656850Z >>> swa_start = 160 2025-08-14T21:16:38.7656983Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2025-08-14T21:16:38.7657090Z >>> for i in range(300): 2025-08-14T21:16:38.7657199Z >>> for input, target in loader: 2025-08-14T21:16:38.7657304Z >>> optimizer.zero_grad() 2025-08-14T21:16:38.7657443Z >>> loss_fn(model(input), target).backward() 2025-08-14T21:16:38.7657545Z >>> optimizer.step() 2025-08-14T21:16:38.7657638Z >>> if i > swa_start: 2025-08-14T21:16:38.7657851Z >>> swa_model.update_parameters(model) 2025-08-14T21:16:38.7657958Z >>> swa_scheduler.step() 2025-08-14T21:16:38.7658053Z >>> else: 2025-08-14T21:16:38.7658154Z >>> scheduler.step() 2025-08-14T21:16:38.7658234Z >>> 2025-08-14T21:16:38.7658400Z >>> # Update bn statistics for the swa_model at the end 2025-08-14T21:16:38.7658556Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2025-08-14T21:16:38.7658563Z 2025-08-14T21:16:38.7658852Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2025-08-14T21:16:38.7659050Z If no averaging function is provided, the default is to compute 2025-08-14T21:16:38.7659190Z equally-weighted average of the weights (SWA). 2025-08-14T21:16:38.7659194Z 2025-08-14T21:16:38.7659291Z Example: 2025-08-14T21:16:38.7659415Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:38.7659618Z >>> # Compute exponential moving averages of the weights and buffers 2025-08-14T21:16:38.7659798Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2025-08-14T21:16:38.7660003Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2025-08-14T21:16:38.7660008Z 2025-08-14T21:16:38.7660133Z .. note:: 2025-08-14T21:16:38.7660360Z When using SWA/EMA with models containing Batch Normalization you may 2025-08-14T21:16:38.7660587Z need to update the activation statistics for Batch Normalization. 2025-08-14T21:16:38.7660822Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2025-08-14T21:16:38.7661036Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2025-08-14T21:16:38.7661265Z statistics in a post-training step by passing data through the model. The 2025-08-14T21:16:38.7661505Z second does it during the parameter update phase by averaging all buffers. 2025-08-14T21:16:38.7661742Z Empirical evidence has shown that updating the statistics in normalization 2025-08-14T21:16:38.7661967Z layers increases accuracy, but you may wish to empirically test which 2025-08-14T21:16:38.7662114Z approach yields the best results in your problem. 2025-08-14T21:16:38.7662118Z 2025-08-14T21:16:38.7662205Z .. note:: 2025-08-14T21:16:38.7662459Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2025-08-14T21:16:38.7662466Z 2025-08-14T21:16:38.7662547Z .. note:: 2025-08-14T21:16:38.7662736Z When :meth:`update_parameters` is called for the first time (i.e. 2025-08-14T21:16:38.7662924Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2025-08-14T21:16:38.7663116Z to the parameters of :class:`AveragedModel`. For every subsequent 2025-08-14T21:16:38.7663306Z call of :meth:`update_parameters` the function `avg_fn` is used 2025-08-14T21:16:38.7663410Z to update the parameters. 2025-08-14T21:16:38.7663418Z 2025-08-14T21:16:38.7663632Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-14T21:16:38.7663763Z https://arxiv.org/abs/1803.05407 2025-08-14T21:16:38.7663987Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2025-08-14T21:16:38.7664073Z Average: 2025-08-14T21:16:38.7664195Z https://arxiv.org/abs/1806.05594 2025-08-14T21:16:38.7664391Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2025-08-14T21:16:38.7664515Z https://arxiv.org/abs/1904.11943 2025-08-14T21:16:38.7664729Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2025-08-14T21:16:38.7664824Z Generalizes Well: 2025-08-14T21:16:38.7664947Z https://arxiv.org/abs/2001.02312 2025-08-14T21:16:38.7665041Z .. _Polyak averaging: 2025-08-14T21:16:38.7665207Z https://paperswithcode.com/method/polyak-averaging 2025-08-14T21:16:38.7665297Z 2025-08-14T21:16:38.7665597Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7665602Z 2025-08-14T21:16:38.7666166Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=375. 2025-08-14T21:16:38.7666419Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:38.7666626Z Anneals the learning rate in each parameter group to a fixed value. 2025-08-14T21:16:38.7666647Z 2025-08-14T21:16:38.7666871Z This learning rate scheduler is meant to be used with Stochastic Weight 2025-08-14T21:16:38.7667076Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2025-08-14T21:16:38.7667080Z 2025-08-14T21:16:38.7667177Z Args: 2025-08-14T21:16:38.7667341Z optimizer (torch.optim.Optimizer): wrapped optimizer 2025-08-14T21:16:38.7667537Z swa_lrs (float or list): the learning rate value for all param groups 2025-08-14T21:16:38.7667674Z together or separately for each group. 2025-08-14T21:16:38.7667867Z annealing_epochs (int): number of epochs in the annealing phase 2025-08-14T21:16:38.7667970Z (default: 10) 2025-08-14T21:16:38.7668174Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2025-08-14T21:16:38.7668408Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2025-08-14T21:16:38.7668616Z (default: "cos") 2025-08-14T21:16:38.7668789Z last_epoch (int): the index of the last epoch (default: -1) 2025-08-14T21:16:38.7668793Z 2025-08-14T21:16:38.7668963Z The :class:`SWALR` scheduler can be used together with other 2025-08-14T21:16:38.7669184Z schedulers to switch to a constant learning rate late in the training 2025-08-14T21:16:38.7669283Z as in the example below. 2025-08-14T21:16:38.7669287Z 2025-08-14T21:16:38.7669383Z Example: 2025-08-14T21:16:38.7669509Z >>> # xdoctest: +SKIP("Undefined variables") 2025-08-14T21:16:38.7669623Z >>> loader, optimizer, model = ... 2025-08-14T21:16:38.7669744Z >>> lr_lambda = lambda epoch: 0.9 2025-08-14T21:16:38.7669957Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2025-08-14T21:16:38.7670057Z >>> lr_lambda=lr_lambda) 2025-08-14T21:16:38.7670239Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2025-08-14T21:16:38.7670409Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2025-08-14T21:16:38.7670504Z >>> swa_start = 160 2025-08-14T21:16:38.7670612Z >>> for i in range(300): 2025-08-14T21:16:38.7670721Z >>> for input, target in loader: 2025-08-14T21:16:38.7670839Z >>> optimizer.zero_grad() 2025-08-14T21:16:38.7670966Z >>> loss_fn(model(input), target).backward() 2025-08-14T21:16:38.7671069Z >>> optimizer.step() 2025-08-14T21:16:38.7671175Z >>> if i > swa_start: 2025-08-14T21:16:38.7671282Z >>> swa_scheduler.step() 2025-08-14T21:16:38.7671366Z >>> else: 2025-08-14T21:16:38.7671476Z >>> scheduler.step() 2025-08-14T21:16:38.7671480Z 2025-08-14T21:16:38.7671692Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-14T21:16:38.7671815Z https://arxiv.org/abs/1803.05407 2025-08-14T21:16:38.7671895Z 2025-08-14T21:16:38.7672136Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:38.7672143Z 2025-08-14T21:16:39.2500243Z msg = Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1331. 2025-08-14T21:16:39.2501480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:39.2501995Z Asserts that ``actual`` and ``expected`` are close. 2025-08-14T21:16:39.2502244Z 2025-08-14T21:16:39.2502867Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2025-08-14T21:16:39.2503346Z 2025-08-14T21:16:39.2503448Z .. math:: 2025-08-14T21:16:39.2503574Z 2025-08-14T21:16:39.2503942Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2025-08-14T21:16:39.2504411Z 2025-08-14T21:16:39.2504748Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2025-08-14T21:16:39.2505376Z only considered equal to each other if ``equal_nan`` is ``True``. 2025-08-14T21:16:39.2505758Z 2025-08-14T21:16:39.2505949Z In addition, they are only considered close if they have the same 2025-08-14T21:16:39.2506247Z 2025-08-14T21:16:39.2506449Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2025-08-14T21:16:39.2506873Z - ``dtype`` (if ``check_dtype`` is ``True``), 2025-08-14T21:16:39.2507231Z - ``layout`` (if ``check_layout`` is ``True``), and 2025-08-14T21:16:39.2507604Z - stride (if ``check_stride`` is ``True``). 2025-08-14T21:16:39.2507827Z 2025-08-14T21:16:39.2508123Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2025-08-14T21:16:39.2508515Z 2025-08-14T21:16:39.2508857Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2025-08-14T21:16:39.2509728Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2025-08-14T21:16:39.2510486Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2025-08-14T21:16:39.2511191Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2025-08-14T21:16:39.2511668Z 2025-08-14T21:16:39.2511938Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2025-08-14T21:16:39.2512673Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2025-08-14T21:16:39.2513225Z definition above. 2025-08-14T21:16:39.2513376Z 2025-08-14T21:16:39.2513684Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2025-08-14T21:16:39.2514509Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2025-08-14T21:16:39.2515341Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2025-08-14T21:16:39.2516159Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2025-08-14T21:16:39.2516856Z their elements are considered close according to the above definition. 2025-08-14T21:16:39.2517202Z 2025-08-14T21:16:39.2517290Z .. note:: 2025-08-14T21:16:39.2517417Z 2025-08-14T21:16:39.2517754Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2025-08-14T21:16:39.2518481Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2025-08-14T21:16:39.2519174Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2025-08-14T21:16:39.2519565Z 2025-08-14T21:16:39.2519647Z Args: 2025-08-14T21:16:39.2519869Z actual (Any): Actual input. 2025-08-14T21:16:39.2520172Z expected (Any): Expected input. 2025-08-14T21:16:39.2520730Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2025-08-14T21:16:39.2521341Z are allowed. Otherwise type equality is required. 2025-08-14T21:16:39.2521940Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2025-08-14T21:16:39.2522718Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-14T21:16:39.2523433Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2025-08-14T21:16:39.2524151Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-14T21:16:39.2524740Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2025-08-14T21:16:39.2525371Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2025-08-14T21:16:39.2526005Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2025-08-14T21:16:39.2526591Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2025-08-14T21:16:39.2527253Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2025-08-14T21:16:39.2528041Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2025-08-14T21:16:39.2528750Z :func:`torch.promote_types`) before being compared. 2025-08-14T21:16:39.2529362Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2025-08-14T21:16:39.2530127Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2025-08-14T21:16:39.2530724Z compared. 2025-08-14T21:16:39.2531225Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2025-08-14T21:16:39.2532005Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2025-08-14T21:16:39.2532795Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2025-08-14T21:16:39.2533365Z should return the new message. 2025-08-14T21:16:39.2533576Z 2025-08-14T21:16:39.2533676Z Raises: 2025-08-14T21:16:39.2534009Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2025-08-14T21:16:39.2534505Z ValueError: If only ``rtol`` or ``atol`` is specified. 2025-08-14T21:16:39.2535085Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2025-08-14T21:16:39.2535860Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2025-08-14T21:16:39.2536411Z different types. 2025-08-14T21:16:39.2536941Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2025-08-14T21:16:39.2537750Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2025-08-14T21:16:39.2538508Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2025-08-14T21:16:39.2539219Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2025-08-14T21:16:39.2539736Z :attr:`~torch.Tensor.layout`. 2025-08-14T21:16:39.2540166Z AssertionError: If only one of corresponding tensors is quantized. 2025-08-14T21:16:39.2540850Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2025-08-14T21:16:39.2541624Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2025-08-14T21:16:39.2542133Z :attr:`~torch.Tensor.device`. 2025-08-14T21:16:39.2542670Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2025-08-14T21:16:39.2543440Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2025-08-14T21:16:39.2544300Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2025-08-14T21:16:39.2544753Z 2025-08-14T21:16:39.2545112Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2025-08-14T21:16:39.2545787Z ``dtype``'s, the maximum of both tolerances is used. 2025-08-14T21:16:39.2546043Z 2025-08-14T21:16:39.2546169Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2546538Z | ``dtype`` | ``rtol`` | ``atol`` | 2025-08-14T21:16:39.2546881Z +===========================+============+==========+ 2025-08-14T21:16:39.2547226Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2025-08-14T21:16:39.2547593Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2547953Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2025-08-14T21:16:39.2548312Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2548661Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2549021Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2549376Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2025-08-14T21:16:39.2549722Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2550085Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2025-08-14T21:16:39.2550486Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2550872Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2551233Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2551594Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2025-08-14T21:16:39.2551954Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2552299Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2552658Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2553024Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2553371Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2553732Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2554094Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2554457Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2554809Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2555176Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:39.2555535Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2555871Z | other | ``0.0`` | ``0.0`` | 2025-08-14T21:16:39.2556216Z +---------------------------+------------+----------+ 2025-08-14T21:16:39.2556440Z 2025-08-14T21:16:39.2556540Z .. note:: 2025-08-14T21:16:39.2556664Z 2025-08-14T21:16:39.2557044Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2025-08-14T21:16:39.2557852Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2025-08-14T21:16:39.2558557Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2025-08-14T21:16:39.2558924Z 2025-08-14T21:16:39.2559032Z >>> import functools 2025-08-14T21:16:39.2559448Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2025-08-14T21:16:39.2559944Z >>> assert_equal(1e-9, 1e-10) 2025-08-14T21:16:39.2560261Z Traceback (most recent call last): 2025-08-14T21:16:39.2560566Z ... 2025-08-14T21:16:39.2560798Z AssertionError: Scalars are not equal! 2025-08-14T21:16:39.2561117Z 2025-08-14T21:16:39.2561373Z Expected 1e-10 but got 1e-09. 2025-08-14T21:16:39.2561690Z Absolute difference: 9.000000000000001e-10 2025-08-14T21:16:39.2562028Z Relative difference: 9.0 2025-08-14T21:16:39.2562304Z 2025-08-14T21:16:39.2562406Z Examples: 2025-08-14T21:16:39.2562638Z >>> # tensor to tensor comparison 2025-08-14T21:16:39.2562986Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2025-08-14T21:16:39.2563359Z >>> actual = torch.acos(torch.cos(expected)) 2025-08-14T21:16:39.2563749Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:39.2563994Z 2025-08-14T21:16:39.2564109Z >>> # scalar to scalar comparison 2025-08-14T21:16:39.2564416Z >>> import math 2025-08-14T21:16:39.2564680Z >>> expected = math.sqrt(2.0) 2025-08-14T21:16:39.2564975Z >>> actual = 2.0 / math.sqrt(2.0) 2025-08-14T21:16:39.2565323Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:39.2565568Z 2025-08-14T21:16:39.2565697Z >>> # numpy array to numpy array comparison 2025-08-14T21:16:39.2566018Z >>> import numpy as np 2025-08-14T21:16:39.2566317Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2025-08-14T21:16:39.2566664Z >>> actual = np.arccos(np.cos(expected)) 2025-08-14T21:16:39.2567034Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:39.2567277Z 2025-08-14T21:16:39.2567394Z >>> # sequence to sequence comparison 2025-08-14T21:16:39.2567712Z >>> import numpy as np 2025-08-14T21:16:39.2568171Z >>> # The types of the sequences do not have to match. They only have to have the same 2025-08-14T21:16:39.2568680Z >>> # length and their elements have to match. 2025-08-14T21:16:39.2569063Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2025-08-14T21:16:39.2569424Z >>> actual = tuple(expected) 2025-08-14T21:16:39.2569764Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:39.2570008Z 2025-08-14T21:16:39.2570120Z >>> # mapping to mapping comparison 2025-08-14T21:16:39.2570456Z >>> from collections import OrderedDict 2025-08-14T21:16:39.2570781Z >>> import numpy as np 2025-08-14T21:16:39.2571057Z >>> foo = torch.tensor(1.0) 2025-08-14T21:16:39.2571340Z >>> bar = 2.0 2025-08-14T21:16:39.2571589Z >>> baz = np.array(3.0) 2025-08-14T21:16:39.2571996Z >>> # The types and a possible ordering of mappings do not have to match. They only 2025-08-14T21:16:39.2572552Z >>> # have to have the same set of keys and their elements have to match. 2025-08-14T21:16:39.2573070Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2025-08-14T21:16:39.2573513Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2025-08-14T21:16:39.2573884Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:39.2574138Z 2025-08-14T21:16:39.2574263Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-14T21:16:39.2574601Z >>> actual = expected.clone() 2025-08-14T21:16:39.2574953Z >>> # By default, directly related instances can be compared 2025-08-14T21:16:39.2575447Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2025-08-14T21:16:39.2576168Z >>> # This check can be made more strict with allow_subclasses=False 2025-08-14T21:16:39.2576591Z >>> torch.testing.assert_close( 2025-08-14T21:16:39.2576991Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2025-08-14T21:16:39.2577390Z ... ) 2025-08-14T21:16:39.2577637Z Traceback (most recent call last): 2025-08-14T21:16:39.2577931Z ... 2025-08-14T21:16:39.2578252Z TypeError: No comparison pair was able to handle inputs of type 2025-08-14T21:16:39.2578776Z and . 2025-08-14T21:16:39.2579304Z >>> # If the inputs are not directly related, they are never considered close 2025-08-14T21:16:39.2579806Z >>> torch.testing.assert_close(actual.numpy(), expected) 2025-08-14T21:16:39.2580196Z Traceback (most recent call last): 2025-08-14T21:16:39.2580494Z ... 2025-08-14T21:16:39.2581048Z TypeError: No comparison pair was able to handle inputs of type 2025-08-14T21:16:39.2581552Z and . 2025-08-14T21:16:39.2582008Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2025-08-14T21:16:39.2582485Z >>> # their type if check_dtype=False. 2025-08-14T21:16:39.2582872Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2025-08-14T21:16:39.2583157Z 2025-08-14T21:16:39.2583255Z >>> # NaN != NaN by default. 2025-08-14T21:16:39.2583573Z >>> expected = torch.tensor(float("Nan")) 2025-08-14T21:16:39.2583898Z >>> actual = expected.clone() 2025-08-14T21:16:39.2584247Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:39.2584608Z Traceback (most recent call last): 2025-08-14T21:16:39.2584895Z ... 2025-08-14T21:16:39.2585136Z AssertionError: Scalars are not close! 2025-08-14T21:16:39.2585455Z 2025-08-14T21:16:39.2585781Z Expected nan but got nan. 2025-08-14T21:16:39.2586116Z Absolute difference: nan (up to 1e-05 allowed) 2025-08-14T21:16:39.2586508Z Relative difference: nan (up to 1.3e-06 allowed) 2025-08-14T21:16:39.2586939Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2025-08-14T21:16:39.2587310Z 2025-08-14T21:16:39.2587431Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-14T21:16:39.2587821Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2025-08-14T21:16:39.2588188Z >>> # The default error message can be overwritten. 2025-08-14T21:16:39.2588537Z >>> torch.testing.assert_close( 2025-08-14T21:16:39.2588927Z ... actual, expected, msg="Argh, the tensors are not close!" 2025-08-14T21:16:39.2589298Z ... ) 2025-08-14T21:16:39.2589526Z Traceback (most recent call last): 2025-08-14T21:16:39.2589825Z ... 2025-08-14T21:16:39.2590101Z AssertionError: Argh, the tensors are not close! 2025-08-14T21:16:39.2590562Z >>> # If msg is a callable, it can be used to augment the generated message with 2025-08-14T21:16:39.2590990Z >>> # extra information 2025-08-14T21:16:39.2591285Z >>> torch.testing.assert_close( 2025-08-14T21:16:39.2591691Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2025-08-14T21:16:39.2592073Z ... ) 2025-08-14T21:16:39.2592312Z Traceback (most recent call last): 2025-08-14T21:16:39.2592612Z ... 2025-08-14T21:16:39.2592823Z AssertionError: Header 2025-08-14T21:16:39.2593094Z 2025-08-14T21:16:39.2593339Z Tensor-likes are not close! 2025-08-14T21:16:39.2593612Z 2025-08-14T21:16:39.2593859Z Mismatched elements: 2 / 3 (66.7%) 2025-08-14T21:16:39.2594291Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2025-08-14T21:16:39.2594850Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2025-08-14T21:16:39.2595261Z 2025-08-14T21:16:39.2595487Z Footer 2025-08-14T21:16:39.2595701Z 2025-08-14T21:16:39.2596043Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:39.2596406Z 2025-08-14T21:16:40.4471371Z msg = Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=134. 2025-08-14T21:16:40.4472338Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.4472835Z Register a container-like type as pytree node. 2025-08-14T21:16:40.4473095Z 2025-08-14T21:16:40.4473179Z Args: 2025-08-14T21:16:40.4473502Z cls (type): A Python type to treat as an internal pytree node. 2025-08-14T21:16:40.4474060Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2025-08-14T21:16:40.4474942Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2025-08-14T21:16:40.4475583Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2025-08-14T21:16:40.4476267Z passed to the ``unflatten_fn``. 2025-08-14T21:16:40.4476756Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2025-08-14T21:16:40.4477382Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2025-08-14T21:16:40.4477913Z The function should return an instance of ``cls``. 2025-08-14T21:16:40.4478433Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2025-08-14T21:16:40.4478970Z qualified name used when serializing the tree spec. 2025-08-14T21:16:40.4479524Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2025-08-14T21:16:40.4480208Z to convert the context of the pytree to a custom json dumpable representation. This is 2025-08-14T21:16:40.4480858Z used for json serialization, which is being used in :mod:`torch.export` right now. 2025-08-14T21:16:40.4481515Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2025-08-14T21:16:40.4482172Z how to convert the custom json dumpable representation of the context back to the 2025-08-14T21:16:40.4482853Z original context. This is used for json deserialization, which is being used in 2025-08-14T21:16:40.4483424Z :mod:`torch.export` right now. 2025-08-14T21:16:40.4483639Z 2025-08-14T21:16:40.4483744Z Example:: 2025-08-14T21:16:40.4483889Z 2025-08-14T21:16:40.4483989Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.4484311Z >>> # Registry a Python type with lambda functions 2025-08-14T21:16:40.4484652Z >>> register_pytree_node( 2025-08-14T21:16:40.4484933Z ... set, 2025-08-14T21:16:40.4485203Z ... lambda s: (sorted(s), None, None), 2025-08-14T21:16:40.4485555Z ... lambda children, _: set(children), 2025-08-14T21:16:40.4485857Z ... ) 2025-08-14T21:16:40.4486064Z 2025-08-14T21:16:40.4486420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.4486771Z 2025-08-14T21:16:40.5048686Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1218. 2025-08-14T21:16:40.5049668Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5050043Z 2025-08-14T21:16:40.5050254Z Context passed to policy function during selective checkpointing. 2025-08-14T21:16:40.5050563Z 2025-08-14T21:16:40.5050792Z This class is used to pass relevant metadata to the policy function during 2025-08-14T21:16:40.5051372Z selective checkpointing. The metadata includes whether the current invocation 2025-08-14T21:16:40.5051912Z of the policy function is during recomputation or not. 2025-08-14T21:16:40.5052183Z 2025-08-14T21:16:40.5052269Z Example: 2025-08-14T21:16:40.5052493Z >>> # xdoctest: +SKIP(stub) 2025-08-14T21:16:40.5052751Z >>> 2025-08-14T21:16:40.5052989Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-14T21:16:40.5053331Z >>> print(ctx.is_recompute) 2025-08-14T21:16:40.5053608Z >>> 2025-08-14T21:16:40.5054141Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-14T21:16:40.5054981Z >>> 2025-08-14T21:16:40.5055334Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-14T21:16:40.5055672Z >>> fn, x, y, 2025-08-14T21:16:40.5055927Z >>> use_reentrant=False, 2025-08-14T21:16:40.5056209Z >>> context_fn=context_fn, 2025-08-14T21:16:40.5056487Z >>> ) 2025-08-14T21:16:40.5056620Z 2025-08-14T21:16:40.5056863Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5057214Z 2025-08-14T21:16:40.5058075Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1358. 2025-08-14T21:16:40.5059032Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5059393Z 2025-08-14T21:16:40.5059620Z Helper to avoid recomputing certain ops during activation checkpointing. 2025-08-14T21:16:40.5059974Z 2025-08-14T21:16:40.5060188Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2025-08-14T21:16:40.5060664Z operations are recomputed during the backward pass. 2025-08-14T21:16:40.5060923Z 2025-08-14T21:16:40.5061017Z Args: 2025-08-14T21:16:40.5061235Z policy_fn_or_list (Callable or List): 2025-08-14T21:16:40.5061623Z - If a policy function is provided, it should accept a 2025-08-14T21:16:40.5062132Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2025-08-14T21:16:40.5062680Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2025-08-14T21:16:40.5063229Z indicating whether the execution of the op should be recomputed or not. 2025-08-14T21:16:40.5063773Z - If a list of operations is provided, it is equivalent to a policy 2025-08-14T21:16:40.5064263Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2025-08-14T21:16:40.5064813Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2025-08-14T21:16:40.5065279Z operations. 2025-08-14T21:16:40.5065632Z allow_cache_entry_mutation (bool, optional): By default, an error is 2025-08-14T21:16:40.5066221Z raised if any tensors cached by selective activation checkpoint are 2025-08-14T21:16:40.5066751Z mutated in order to ensure correctness. If set to `True`, this check 2025-08-14T21:16:40.5067166Z is disabled. 2025-08-14T21:16:40.5067390Z Returns: 2025-08-14T21:16:40.5067623Z A tuple of two context managers. 2025-08-14T21:16:40.5067821Z 2025-08-14T21:16:40.5067919Z Example: 2025-08-14T21:16:40.5068151Z >>> # xdoctest: +REQUIRES(LINUX) 2025-08-14T21:16:40.5068442Z >>> import functools 2025-08-14T21:16:40.5068692Z >>> 2025-08-14T21:16:40.5068928Z >>> x = torch.rand(10, 10, requires_grad=True) 2025-08-14T21:16:40.5069271Z >>> y = torch.rand(10, 10, requires_grad=True) 2025-08-14T21:16:40.5069588Z >>> 2025-08-14T21:16:40.5069798Z >>> ops_to_save = [ 2025-08-14T21:16:40.5070057Z >>> torch.ops.aten.mm.default, 2025-08-14T21:16:40.5070355Z >>> ] 2025-08-14T21:16:40.5070556Z >>> 2025-08-14T21:16:40.5070779Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-14T21:16:40.5071111Z >>> if op in ops_to_save: 2025-08-14T21:16:40.5071426Z >>> return CheckpointPolicy.MUST_SAVE 2025-08-14T21:16:40.5071733Z >>> else: 2025-08-14T21:16:40.5072013Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2025-08-14T21:16:40.5072348Z >>> 2025-08-14T21:16:40.5072714Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-14T21:16:40.5073178Z >>> 2025-08-14T21:16:40.5073391Z >>> # or equivalently 2025-08-14T21:16:40.5073824Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2025-08-14T21:16:40.5074272Z >>> 2025-08-14T21:16:40.5074480Z >>> def fn(x, y): 2025-08-14T21:16:40.5074835Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2025-08-14T21:16:40.5075213Z >>> 2025-08-14T21:16:40.5075466Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-14T21:16:40.5075799Z >>> fn, x, y, 2025-08-14T21:16:40.5076230Z >>> use_reentrant=False, 2025-08-14T21:16:40.5076524Z >>> context_fn=context_fn, 2025-08-14T21:16:40.5076803Z >>> ) 2025-08-14T21:16:40.5076914Z 2025-08-14T21:16:40.5077159Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5077522Z 2025-08-14T21:16:40.5311183Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1147. 2025-08-14T21:16:40.5312083Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5312445Z 2025-08-14T21:16:40.5312599Z Create a :class:`setuptools.Extension` for C++. 2025-08-14T21:16:40.5312840Z 2025-08-14T21:16:40.5313092Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-14T21:16:40.5313642Z bare minimum (but often sufficient) arguments to build a C++ extension. 2025-08-14T21:16:40.5313985Z 2025-08-14T21:16:40.5314185Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-14T21:16:40.5314637Z constructor. Full list arguments can be found at 2025-08-14T21:16:40.5315202Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-14T21:16:40.5315639Z 2025-08-14T21:16:40.5315743Z .. warning:: 2025-08-14T21:16:40.5316107Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-14T21:16:40.5316648Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-14T21:16:40.5317198Z the user's responsibility in their library to not use APIs from 2025-08-14T21:16:40.5318022Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-14T21:16:40.5318939Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-14T21:16:40.5319545Z example, to give access to custom ops from python, the library should 2025-08-14T21:16:40.5320033Z register the ops through the dispatcher. 2025-08-14T21:16:40.5320269Z 2025-08-14T21:16:40.5320482Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-14T21:16:40.5321004Z as a compile flag when py_limited_api is specified as an option for 2025-08-14T21:16:40.5321505Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-14T21:16:40.5322029Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-14T21:16:40.5322619Z safety, and sanity in order to encourage best practices. To target a 2025-08-14T21:16:40.5323560Z different version, set min_supported_cpython to the hexcode of the 2025-08-14T21:16:40.5323970Z CPython version of choice. 2025-08-14T21:16:40.5324160Z 2025-08-14T21:16:40.5324244Z Example: 2025-08-14T21:16:40.5324462Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.5324761Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:40.5325124Z >>> from setuptools import setup 2025-08-14T21:16:40.5325537Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2025-08-14T21:16:40.5325945Z >>> setup( 2025-08-14T21:16:40.5326161Z ... name='extension', 2025-08-14T21:16:40.5326428Z ... ext_modules=[ 2025-08-14T21:16:40.5326684Z ... CppExtension( 2025-08-14T21:16:40.5326948Z ... name='extension', 2025-08-14T21:16:40.5327261Z ... sources=['extension.cpp'], 2025-08-14T21:16:40.5327604Z ... extra_compile_args=['-g'], 2025-08-14T21:16:40.5327964Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2025-08-14T21:16:40.5328306Z ... ], 2025-08-14T21:16:40.5328527Z ... cmdclass={ 2025-08-14T21:16:40.5328776Z ... 'build_ext': BuildExtension 2025-08-14T21:16:40.5329073Z ... }) 2025-08-14T21:16:40.5329197Z 2025-08-14T21:16:40.5329454Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5329811Z 2025-08-14T21:16:40.5330387Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1217. 2025-08-14T21:16:40.5331264Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5331705Z 2025-08-14T21:16:40.5331873Z Create a :class:`setuptools.Extension` for CUDA/C++. 2025-08-14T21:16:40.5332265Z 2025-08-14T21:16:40.5332828Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-14T21:16:40.5333558Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2025-08-14T21:16:40.5334085Z extension. This includes the CUDA include path, library path and runtime 2025-08-14T21:16:40.5334504Z library. 2025-08-14T21:16:40.5334619Z 2025-08-14T21:16:40.5334816Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-14T21:16:40.5335266Z constructor. Full list arguments can be found at 2025-08-14T21:16:40.5335834Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-14T21:16:40.5336258Z 2025-08-14T21:16:40.5336355Z .. warning:: 2025-08-14T21:16:40.5336698Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-14T21:16:40.5337230Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-14T21:16:40.5337740Z the user's responsibility in their library to not use APIs from 2025-08-14T21:16:40.5338255Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-14T21:16:40.5338801Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-14T21:16:40.5339329Z example, to give access to custom ops from python, the library should 2025-08-14T21:16:40.5339760Z register the ops through the dispatcher. 2025-08-14T21:16:40.5340041Z 2025-08-14T21:16:40.5340258Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-14T21:16:40.5340813Z as a compile flag when py_limited_api is specified as an option for 2025-08-14T21:16:40.5341318Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-14T21:16:40.5341968Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-14T21:16:40.5342935Z safety, and sanity in order to encourage best practices. To target a 2025-08-14T21:16:40.5343462Z different version, set min_supported_cpython to the hexcode of the 2025-08-14T21:16:40.5343871Z CPython version of choice. 2025-08-14T21:16:40.5344068Z 2025-08-14T21:16:40.5344151Z Example: 2025-08-14T21:16:40.5344364Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.5344690Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:40.5345040Z >>> from setuptools import setup 2025-08-14T21:16:40.5345464Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2025-08-14T21:16:40.5345956Z >>> setup( 2025-08-14T21:16:40.5346182Z ... name='cuda_extension', 2025-08-14T21:16:40.5346479Z ... ext_modules=[ 2025-08-14T21:16:40.5346743Z ... CUDAExtension( 2025-08-14T21:16:40.5347038Z ... name='cuda_extension', 2025-08-14T21:16:40.5347413Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-14T21:16:40.5347827Z ... extra_compile_args={'cxx': ['-g'], 2025-08-14T21:16:40.5348186Z ... 'nvcc': ['-O2']}, 2025-08-14T21:16:40.5348567Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2025-08-14T21:16:40.5348925Z ... ], 2025-08-14T21:16:40.5349151Z ... cmdclass={ 2025-08-14T21:16:40.5349403Z ... 'build_ext': BuildExtension 2025-08-14T21:16:40.5349704Z ... }) 2025-08-14T21:16:40.5349829Z 2025-08-14T21:16:40.5349936Z Compute capabilities: 2025-08-14T21:16:40.5350094Z 2025-08-14T21:16:40.5350387Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-14T21:16:40.5351055Z building process of the extension, plus PTX. If down the road a new card is installed the 2025-08-14T21:16:40.5351729Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2025-08-14T21:16:40.5352408Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2025-08-14T21:16:40.5353072Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2025-08-14T21:16:40.5353575Z support (see below for details on PTX). 2025-08-14T21:16:40.5353884Z 2025-08-14T21:16:40.5354179Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2025-08-14T21:16:40.5354709Z CCs you want the extension to support: 2025-08-14T21:16:40.5354915Z 2025-08-14T21:16:40.5355094Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2025-08-14T21:16:40.5355611Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2025-08-14T21:16:40.5355961Z 2025-08-14T21:16:40.5356267Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2025-08-14T21:16:40.5356987Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2025-08-14T21:16:40.5357680Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2025-08-14T21:16:40.5358372Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2025-08-14T21:16:40.5359077Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2025-08-14T21:16:40.5359759Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2025-08-14T21:16:40.5360429Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2025-08-14T21:16:40.5361204Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2025-08-14T21:16:40.5361749Z "8.0 8.6" would be better. 2025-08-14T21:16:40.5361911Z 2025-08-14T21:16:40.5362197Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-14T21:16:40.5362876Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-14T21:16:40.5363273Z 2025-08-14T21:16:40.5363585Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2025-08-14T21:16:40.5364227Z To workaround the issue, move python binding logic to pure C++ file. 2025-08-14T21:16:40.5364538Z 2025-08-14T21:16:40.5364625Z Example use: 2025-08-14T21:16:40.5364853Z #include 2025-08-14T21:16:40.5365180Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2025-08-14T21:16:40.5365428Z 2025-08-14T21:16:40.5365526Z Instead of: 2025-08-14T21:16:40.5365745Z #include 2025-08-14T21:16:40.5366086Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2025-08-14T21:16:40.5366345Z 2025-08-14T21:16:40.5366617Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2025-08-14T21:16:40.5367466Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2025-08-14T21:16:40.5368072Z 2025-08-14T21:16:40.5368183Z Relocatable device code linking: 2025-08-14T21:16:40.5368386Z 2025-08-14T21:16:40.5368654Z If you want to reference device symbols across compilation units (across object files), 2025-08-14T21:16:40.5369287Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2025-08-14T21:16:40.5369981Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2025-08-14T21:16:40.5370753Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2025-08-14T21:16:40.5371493Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2025-08-14T21:16:40.5372094Z helps reduce the protentional perf degradation of `-rdc`. 2025-08-14T21:16:40.5372524Z Note that it needs to be used at both steps to be useful. 2025-08-14T21:16:40.5372798Z 2025-08-14T21:16:40.5373146Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2025-08-14T21:16:40.5373775Z There is also a case where `-dlink` is used without `-rdc`: 2025-08-14T21:16:40.5374298Z when an extension is linked against a static lib containing rdc-compiled objects 2025-08-14T21:16:40.5374914Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2025-08-14T21:16:40.5375240Z 2025-08-14T21:16:40.5375432Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2025-08-14T21:16:40.5375730Z 2025-08-14T21:16:40.5375826Z Example: 2025-08-14T21:16:40.5376224Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.5376549Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:40.5376899Z >>> CUDAExtension( 2025-08-14T21:16:40.5377146Z ... name='cuda_extension', 2025-08-14T21:16:40.5377505Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-14T21:16:40.5377862Z ... dlink=True, 2025-08-14T21:16:40.5378143Z ... dlink_libraries=["dlink_lib"], 2025-08-14T21:16:40.5378474Z ... extra_compile_args={'cxx': ['-g'], 2025-08-14T21:16:40.5378823Z ... 'nvcc': ['-O2', '-rdc=true']}) 2025-08-14T21:16:40.5379053Z 2025-08-14T21:16:40.5379308Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5379659Z 2025-08-14T21:16:40.5380182Z msg = Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1408. 2025-08-14T21:16:40.5381056Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5381530Z 2025-08-14T21:16:40.5381685Z Creates a :class:`setuptools.Extension` for SYCL/C++. 2025-08-14T21:16:40.5381990Z 2025-08-14T21:16:40.5382232Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-14T21:16:40.5382756Z bare minimum (but often sufficient) arguments to build a SYCL/C++ 2025-08-14T21:16:40.5383146Z extension. 2025-08-14T21:16:40.5383277Z 2025-08-14T21:16:40.5383476Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-14T21:16:40.5383871Z constructor. 2025-08-14T21:16:40.5383995Z 2025-08-14T21:16:40.5384086Z .. warning:: 2025-08-14T21:16:40.5384435Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-14T21:16:40.5384975Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-14T21:16:40.5385471Z the user's responsibility in their library to not use APIs from 2025-08-14T21:16:40.5386113Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-14T21:16:40.5386671Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-14T21:16:40.5387200Z example, to give access to custom ops from python, the library should 2025-08-14T21:16:40.5387630Z register the ops through the dispatcher. 2025-08-14T21:16:40.5387863Z 2025-08-14T21:16:40.5388082Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-14T21:16:40.5388601Z as a compile flag when py_limited_api is specified as an option for 2025-08-14T21:16:40.5389097Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-14T21:16:40.5389624Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-14T21:16:40.5390147Z safety, and sanity in order to encourage best practices. To target a 2025-08-14T21:16:40.5390671Z different version, set min_supported_cpython to the hexcode of the 2025-08-14T21:16:40.5391081Z CPython version of choice. 2025-08-14T21:16:40.5391277Z 2025-08-14T21:16:40.5391361Z Example: 2025-08-14T21:16:40.5391580Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.5391883Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:40.5392355Z >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension 2025-08-14T21:16:40.5392770Z >>> setup( 2025-08-14T21:16:40.5392994Z ... name='xpu_extension', 2025-08-14T21:16:40.5393284Z ... ext_modules=[ 2025-08-14T21:16:40.5393550Z ... SyclExtension( 2025-08-14T21:16:40.5393833Z ... name='xpu_extension', 2025-08-14T21:16:40.5394305Z ... sources=['extension.cpp', 'extension_kernel.cpp'], 2025-08-14T21:16:40.5394764Z ... extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']}) 2025-08-14T21:16:40.5395147Z ... ], 2025-08-14T21:16:40.5395356Z ... cmdclass={ 2025-08-14T21:16:40.5395623Z ... 'build_ext': BuildExtension 2025-08-14T21:16:40.5395934Z ... }) 2025-08-14T21:16:40.5396057Z 2025-08-14T21:16:40.5396342Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-14T21:16:40.5396992Z building process of the extension. If down the road a new card is installed the 2025-08-14T21:16:40.5397594Z extension may need to be recompiled. You can override the default behavior using 2025-08-14T21:16:40.5398242Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension 2025-08-14T21:16:40.5398731Z to support: 2025-08-14T21:16:40.5398868Z 2025-08-14T21:16:40.5399065Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py`` 2025-08-14T21:16:40.5399366Z 2025-08-14T21:16:40.5399660Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-14T21:16:40.5400336Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-14T21:16:40.5400720Z 2025-08-14T21:16:40.5400851Z Note: Ninja is required to build SyclExtension. 2025-08-14T21:16:40.5401152Z 2025-08-14T21:16:40.5401389Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5401769Z 2025-08-14T21:16:40.5402320Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1585. 2025-08-14T21:16:40.5403152Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5403522Z 2025-08-14T21:16:40.5403657Z Load a PyTorch C++ extension just-in-time (JIT). 2025-08-14T21:16:40.5403895Z 2025-08-14T21:16:40.5404113Z To load an extension, a Ninja build file is emitted, which is used to 2025-08-14T21:16:40.5404607Z compile the given sources into a dynamic library. This library is 2025-08-14T21:16:40.5405129Z subsequently loaded into the current Python process as a module and 2025-08-14T21:16:40.5405569Z returned from this function, ready for use. 2025-08-14T21:16:40.5405789Z 2025-08-14T21:16:40.5405988Z By default, the directory to which the build file is emitted and the 2025-08-14T21:16:40.5406524Z resulting library compiled to is ``/torch_extensions/``, where 2025-08-14T21:16:40.5407066Z ```` is the temporary folder on the current platform and ```` 2025-08-14T21:16:40.5407580Z the name of the extension. This location can be overridden in two ways. 2025-08-14T21:16:40.5408086Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2025-08-14T21:16:40.5408607Z replaces ``/torch_extensions`` and all extensions will be compiled 2025-08-14T21:16:40.5409138Z into subfolders of this directory. Second, if the ``build_directory`` 2025-08-14T21:16:40.5409670Z argument to this function is supplied, it overrides the entire path, i.e. 2025-08-14T21:16:40.5410161Z the library will be compiled into that folder directly. 2025-08-14T21:16:40.5410429Z 2025-08-14T21:16:40.5410632Z To compile the sources, the default system compiler (``c++``) is used, 2025-08-14T21:16:40.5411176Z which can be overridden by setting the ``CXX`` environment variable. To pass 2025-08-14T21:16:40.5411725Z additional arguments to the compilation process, ``extra_cflags`` or 2025-08-14T21:16:40.5412266Z ``extra_ldflags`` can be provided. For example, to compile your extension 2025-08-14T21:16:40.5412795Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2025-08-14T21:16:40.5413257Z ``extra_cflags`` to pass further include directories. 2025-08-14T21:16:40.5413505Z 2025-08-14T21:16:40.5413731Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2025-08-14T21:16:40.5414310Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2025-08-14T21:16:40.5414836Z detected and compiled with nvcc rather than the C++ compiler. This includes 2025-08-14T21:16:40.5415373Z passing the CUDA lib64 directory as a library directory, and linking 2025-08-14T21:16:40.5415833Z ``cudart``. You can pass additional flags to nvcc via 2025-08-14T21:16:40.5416285Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2025-08-14T21:16:40.5416832Z heuristics for finding the CUDA install directory are used, which usually 2025-08-14T21:16:40.5417367Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2025-08-14T21:16:40.5417776Z safest option. 2025-08-14T21:16:40.5417904Z 2025-08-14T21:16:40.5418141Z SYCL support with mixed compilation is provided. Simply pass SYCL source 2025-08-14T21:16:40.5418662Z files (``.sycl``) along with other sources. Such files will be detected 2025-08-14T21:16:40.5419179Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather 2025-08-14T21:16:40.5419698Z than the C++ compiler. You can pass additional flags to SYCL compiler 2025-08-14T21:16:40.5420191Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++. 2025-08-14T21:16:40.5420675Z SYCL compiler is expected to be found via system PATH environment 2025-08-14T21:16:40.5421064Z variable. 2025-08-14T21:16:40.5421179Z 2025-08-14T21:16:40.5421309Z Args: 2025-08-14T21:16:40.5421613Z name: The name of the extension to build. This MUST be the same as the 2025-08-14T21:16:40.5422059Z name of the pybind11 module! 2025-08-14T21:16:40.5422452Z sources: A list of relative or absolute paths to C++ source files. 2025-08-14T21:16:40.5422964Z extra_cflags: optional list of compiler flags to forward to the build. 2025-08-14T21:16:40.5423502Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2025-08-14T21:16:40.5423927Z when building CUDA sources. 2025-08-14T21:16:40.5424335Z extra_sycl_cflags: optional list of compiler flags to forward to SYCL 2025-08-14T21:16:40.5424766Z compiler when building SYCL sources. 2025-08-14T21:16:40.5425197Z extra_ldflags: optional list of linker flags to forward to the build. 2025-08-14T21:16:40.5425828Z extra_include_paths: optional list of include directories to forward 2025-08-14T21:16:40.5426233Z to the build. 2025-08-14T21:16:40.5426559Z build_directory: optional path to use as build workspace. 2025-08-14T21:16:40.5427125Z verbose: If ``True``, turns on verbose logging of load steps. 2025-08-14T21:16:40.5427631Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-14T21:16:40.5428102Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:40.5428565Z automatically determined based on the existence of ``.cu`` or 2025-08-14T21:16:40.5429040Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2025-08-14T21:16:40.5429421Z and libraries to be included. 2025-08-14T21:16:40.5429843Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-14T21:16:40.5430328Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:40.5430798Z automatically determined based on the existence of ``.sycl`` in 2025-08-14T21:16:40.5431259Z ``sources``. Set it to `True`` to force SYCL headers and 2025-08-14T21:16:40.5431631Z libraries to be included. 2025-08-14T21:16:40.5432019Z is_python_module: If ``True`` (default), imports the produced shared 2025-08-14T21:16:40.5432503Z library as a Python module. If ``False``, behavior depends on 2025-08-14T21:16:40.5432892Z ``is_standalone``. 2025-08-14T21:16:40.5433259Z is_standalone: If ``False`` (default) loads the constructed extension 2025-08-14T21:16:40.5433745Z into the process as a plain dynamic library. If ``True``, build a 2025-08-14T21:16:40.5434150Z standalone executable. 2025-08-14T21:16:40.5434352Z 2025-08-14T21:16:40.5434434Z Returns: 2025-08-14T21:16:40.5434776Z If ``is_python_module`` is ``True``: 2025-08-14T21:16:40.5435155Z Returns the loaded PyTorch extension as a Python module. 2025-08-14T21:16:40.5435446Z 2025-08-14T21:16:40.5435641Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2025-08-14T21:16:40.5436163Z Returns nothing. (The shared library is loaded into the process as 2025-08-14T21:16:40.5436563Z a side effect.) 2025-08-14T21:16:40.5436729Z 2025-08-14T21:16:40.5436838Z If ``is_standalone`` is ``True``. 2025-08-14T21:16:40.5437238Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2025-08-14T21:16:40.5437724Z added to the PATH environment variable as a side effect.) 2025-08-14T21:16:40.5438000Z 2025-08-14T21:16:40.5438083Z Example: 2025-08-14T21:16:40.5438303Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.5438607Z >>> from torch.utils.cpp_extension import load 2025-08-14T21:16:40.5438931Z >>> module = load( 2025-08-14T21:16:40.5439189Z ... name='extension', 2025-08-14T21:16:40.5439526Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-14T21:16:40.5439881Z ... extra_cflags=['-O2'], 2025-08-14T21:16:40.5440167Z ... verbose=True) 2025-08-14T21:16:40.5440339Z 2025-08-14T21:16:40.5440582Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5440973Z 2025-08-14T21:16:40.5441490Z msg = Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1890. 2025-08-14T21:16:40.5442369Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5442739Z 2025-08-14T21:16:40.5442939Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2025-08-14T21:16:40.5443262Z 2025-08-14T21:16:40.5443483Z This function behaves exactly like :func:`load`, but takes its sources as 2025-08-14T21:16:40.5444042Z strings rather than filenames. These strings are stored to files in the 2025-08-14T21:16:40.5444571Z build directory, after which the behavior of :func:`load_inline` is 2025-08-14T21:16:40.5444987Z identical to :func:`load`. 2025-08-14T21:16:40.5445155Z 2025-08-14T21:16:40.5445248Z See `the 2025-08-14T21:16:40.5445669Z tests `_ 2025-08-14T21:16:40.5446208Z for good examples of using this function. 2025-08-14T21:16:40.5446438Z 2025-08-14T21:16:40.5446660Z Sources may omit two required parts of a typical non-inline C++ extension: 2025-08-14T21:16:40.5447227Z the necessary header includes, as well as the (pybind11) binding code. More 2025-08-14T21:16:40.5447791Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2025-08-14T21:16:40.5448314Z single ``.cpp`` file. This file is then prepended with ``#include 2025-08-14T21:16:40.5448702Z `` 2025-08-14T21:16:40.5448852Z 2025-08-14T21:16:40.5449077Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2025-08-14T21:16:40.5449626Z automatically generated for each function specified. ``functions`` can 2025-08-14T21:16:40.5450176Z either be a list of function names, or a dictionary mapping from function 2025-08-14T21:16:40.5450717Z names to docstrings. If a list is given, the name of each function is used 2025-08-14T21:16:40.5451125Z as its docstring. 2025-08-14T21:16:40.5451276Z 2025-08-14T21:16:40.5451480Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2025-08-14T21:16:40.5451970Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2025-08-14T21:16:40.5452446Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2025-08-14T21:16:40.5452957Z separately, but ultimately linked into a single library. Note that no 2025-08-14T21:16:40.5453499Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2025-08-14T21:16:40.5454039Z to a CUDA kernel, you must create a C++ function that calls it, and either 2025-08-14T21:16:40.5454613Z declare or define this C++ function in one of the ``cpp_sources`` (and 2025-08-14T21:16:40.5455038Z include its name in ``functions``). 2025-08-14T21:16:40.5455234Z 2025-08-14T21:16:40.5455453Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl`` 2025-08-14T21:16:40.5455986Z file and prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes. 2025-08-14T21:16:40.5456485Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately 2025-08-14T21:16:40.5457000Z linked into a single library. Note that no bindings are generated for 2025-08-14T21:16:40.5457525Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must 2025-08-14T21:16:40.5458034Z create a C++ function that calls it, and either declare or define this 2025-08-14T21:16:40.5458528Z C++ function in one of the ``cpp_sources`` (and include its name 2025-08-14T21:16:40.5458905Z in ``functions``). 2025-08-14T21:16:40.5459043Z 2025-08-14T21:16:40.5459047Z 2025-08-14T21:16:40.5459051Z 2025-08-14T21:16:40.5459243Z See :func:`load` for a description of arguments omitted below. 2025-08-14T21:16:40.5459522Z 2025-08-14T21:16:40.5459601Z Args: 2025-08-14T21:16:40.5459922Z cpp_sources: A string, or list of strings, containing C++ source code. 2025-08-14T21:16:40.5460452Z cuda_sources: A string, or list of strings, containing CUDA source code. 2025-08-14T21:16:40.5461016Z sycl_sources: A string, or list of strings, containing SYCL source code. 2025-08-14T21:16:40.5461569Z functions: A list of function names for which to generate function 2025-08-14T21:16:40.5462081Z bindings. If a dictionary is given, it should map function names to 2025-08-14T21:16:40.5462572Z docstrings (which are otherwise just the function names). 2025-08-14T21:16:40.5463062Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-14T21:16:40.5463544Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:40.5464007Z automatically determined based on whether ``cuda_sources`` is 2025-08-14T21:16:40.5464455Z provided. Set it to ``True`` to force CUDA headers 2025-08-14T21:16:40.5464818Z and libraries to be included. 2025-08-14T21:16:40.5465235Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-14T21:16:40.5465804Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:40.5466262Z automatically determined based on whether ``sycl_sources`` is 2025-08-14T21:16:40.5466720Z provided. Set it to ``True`` to force SYCL headers 2025-08-14T21:16:40.5467086Z and libraries to be included. 2025-08-14T21:16:40.5467476Z with_pytorch_error_handling: Determines whether pytorch error and 2025-08-14T21:16:40.5467979Z warning macros are handled by pytorch instead of pybind. To do 2025-08-14T21:16:40.5468488Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2025-08-14T21:16:40.5469004Z function. This redirection might cause issues in obscure cases 2025-08-14T21:16:40.5469482Z of cpp. This flag should be set to ``False`` when this redirect 2025-08-14T21:16:40.5469861Z causes issues. 2025-08-14T21:16:40.5470257Z no_implicit_headers: If ``True``, skips automatically adding headers, most notably 2025-08-14T21:16:40.5470823Z ``#include `` and ``#include `` lines. 2025-08-14T21:16:40.5471311Z Use this option to improve cold start times when you 2025-08-14T21:16:40.5471827Z already include the necessary headers in your source code. Default: ``False``. 2025-08-14T21:16:40.5472185Z 2025-08-14T21:16:40.5472285Z Example: 2025-08-14T21:16:40.5472538Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:40.5472943Z >>> from torch.utils.cpp_extension import load_inline 2025-08-14T21:16:40.5473292Z >>> source = """ 2025-08-14T21:16:40.5473575Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2025-08-14T21:16:40.5473915Z return x.sin() + y.sin(); 2025-08-14T21:16:40.5474244Z } 2025-08-14T21:16:40.5474430Z """ 2025-08-14T21:16:40.5474680Z >>> module = load_inline(name='inline_extension', 2025-08-14T21:16:40.5475039Z ... cpp_sources=[source], 2025-08-14T21:16:40.5475364Z ... functions=['sin_add']) 2025-08-14T21:16:40.5475602Z 2025-08-14T21:16:40.5475687Z .. note:: 2025-08-14T21:16:40.5476229Z Since load_inline will just-in-time compile the source code, please ensure 2025-08-14T21:16:40.5476802Z that you have the right toolchains installed in the runtime. For example, 2025-08-14T21:16:40.5477338Z when loading C++, make sure a C++ compiler is available. If you're loading 2025-08-14T21:16:40.5477904Z a CUDA extension, you will need to additionally install the corresponding CUDA 2025-08-14T21:16:40.5478495Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2025-08-14T21:16:40.5479077Z are not included when you install torch and must be additionally installed. 2025-08-14T21:16:40.5479416Z 2025-08-14T21:16:40.5479659Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2025-08-14T21:16:40.5480231Z the extension. This may use up too many resources on some systems. One 2025-08-14T21:16:40.5480771Z can control the number of workers by setting the `MAX_JOBS` environment 2025-08-14T21:16:40.5481285Z variable to a non-negative number. 2025-08-14T21:16:40.5481544Z 2025-08-14T21:16:40.5481784Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5482149Z 2025-08-14T21:16:40.5538049Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61. 2025-08-14T21:16:40.5538999Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.5539376Z 2025-08-14T21:16:40.5539674Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2025-08-14T21:16:40.5540071Z 2025-08-14T21:16:40.5540355Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2025-08-14T21:16:40.5540989Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2025-08-14T21:16:40.5541562Z server like load. It can emulate multiple calling threads to a single module 2025-08-14T21:16:40.5542127Z provided. In the future we plan to enhance this component to support inter and 2025-08-14T21:16:40.5542700Z intra-op parallelism as well as multiple models running in a single process. 2025-08-14T21:16:40.5543055Z 2025-08-14T21:16:40.5543294Z Please note that even though nn.Module is supported, it might incur an overhead 2025-08-14T21:16:40.5543857Z from the need to hold GIL every time we execute Python code or pass around 2025-08-14T21:16:40.5544416Z inputs as Python objects. As soon as you have a ScriptModule version of your 2025-08-14T21:16:40.5544974Z model for inference deployment it is better to switch to using it in this 2025-08-14T21:16:40.5545402Z benchmark. 2025-08-14T21:16:40.5545520Z 2025-08-14T21:16:40.5545616Z Example:: 2025-08-14T21:16:40.5545799Z 2025-08-14T21:16:40.5545911Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:40.5546272Z >>> from torch.utils import ThroughputBenchmark 2025-08-14T21:16:40.5546646Z >>> bench = ThroughputBenchmark(my_module) 2025-08-14T21:16:40.5547021Z >>> # Pre-populate benchmark's data set with the inputs 2025-08-14T21:16:40.5547389Z >>> for input in inputs: 2025-08-14T21:16:40.5547774Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2025-08-14T21:16:40.5548219Z ... bench.add_input(input[0], x2=input[1]) 2025-08-14T21:16:40.5548630Z >>> # Inputs supplied above are randomly used during the execution 2025-08-14T21:16:40.5549032Z >>> stats = bench.benchmark( 2025-08-14T21:16:40.5549322Z ... num_calling_threads=4, 2025-08-14T21:16:40.5549605Z ... num_warmup_iters = 100, 2025-08-14T21:16:40.5550044Z ... num_iters = 1000, 2025-08-14T21:16:40.5550310Z ... ) 2025-08-14T21:16:40.5550589Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2025-08-14T21:16:40.5551048Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2025-08-14T21:16:40.5551334Z 2025-08-14T21:16:40.5551577Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.5551923Z 2025-08-14T21:16:40.6471227Z msg = Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18. 2025-08-14T21:16:40.6472167Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6472712Z Sampler that restricts data loading to a subset of the dataset. 2025-08-14T21:16:40.6473019Z 2025-08-14T21:16:40.6473148Z It is especially useful in conjunction with 2025-08-14T21:16:40.6473634Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2025-08-14T21:16:40.6474247Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2025-08-14T21:16:40.6474823Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2025-08-14T21:16:40.6475283Z original dataset that is exclusive to it. 2025-08-14T21:16:40.6475619Z 2025-08-14T21:16:40.6475730Z .. note:: 2025-08-14T21:16:40.6476245Z Dataset is assumed to be of constant size and that any instance of it always 2025-08-14T21:16:40.6476797Z returns the same elements in the same order. 2025-08-14T21:16:40.6477045Z 2025-08-14T21:16:40.6477127Z Args: 2025-08-14T21:16:40.6477357Z dataset: Dataset used for sampling. 2025-08-14T21:16:40.6477776Z num_replicas (int, optional): Number of processes participating in 2025-08-14T21:16:40.6478340Z distributed training. By default, :attr:`world_size` is retrieved from the 2025-08-14T21:16:40.6478809Z current distributed group. 2025-08-14T21:16:40.6479240Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2025-08-14T21:16:40.6479783Z By default, :attr:`rank` is retrieved from the current distributed 2025-08-14T21:16:40.6480173Z group. 2025-08-14T21:16:40.6480527Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2025-08-14T21:16:40.6480938Z indices. 2025-08-14T21:16:40.6481267Z seed (int, optional): random seed used to shuffle the sampler if 2025-08-14T21:16:40.6481756Z :attr:`shuffle=True`. This number should be identical across all 2025-08-14T21:16:40.6482206Z processes in the distributed group. Default: ``0``. 2025-08-14T21:16:40.6482682Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2025-08-14T21:16:40.6483193Z tail of the data to make it evenly divisible across the number of 2025-08-14T21:16:40.6483679Z replicas. If ``False``, the sampler will add extra indices to make 2025-08-14T21:16:40.6484184Z the data evenly divisible across the replicas. Default: ``False``. 2025-08-14T21:16:40.6484506Z 2025-08-14T21:16:40.6484593Z .. warning:: 2025-08-14T21:16:40.6484911Z In distributed mode, calling the :meth:`set_epoch` method at 2025-08-14T21:16:40.6485426Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2025-08-14T21:16:40.6486031Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2025-08-14T21:16:40.6486515Z the same ordering will be always used. 2025-08-14T21:16:40.6486732Z 2025-08-14T21:16:40.6486829Z Example:: 2025-08-14T21:16:40.6486953Z 2025-08-14T21:16:40.6487049Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.6487439Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2025-08-14T21:16:40.6487930Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2025-08-14T21:16:40.6488421Z ... sampler=sampler) 2025-08-14T21:16:40.6488777Z >>> for epoch in range(start_epoch, n_epochs): 2025-08-14T21:16:40.6489123Z ... if is_distributed: 2025-08-14T21:16:40.6489417Z ... sampler.set_epoch(epoch) 2025-08-14T21:16:40.6489732Z ... train(loader) 2025-08-14T21:16:40.6489991Z 2025-08-14T21:16:40.6490346Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6490700Z 2025-08-14T21:16:40.6531055Z msg = Cannot scrape callname=WeightedRandomSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=227. 2025-08-14T21:16:40.6531977Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6532590Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights). 2025-08-14T21:16:40.6532944Z 2025-08-14T21:16:40.6533038Z Args: 2025-08-14T21:16:40.6533525Z weights (sequence) : a sequence of weights, not necessary summing up to one 2025-08-14T21:16:40.6534310Z num_samples (int): number of samples to draw 2025-08-14T21:16:40.6534754Z replacement (bool): if ``True``, samples are drawn with replacement. 2025-08-14T21:16:40.6535273Z If not, they are drawn without replacement, which means that when a 2025-08-14T21:16:40.6535979Z sample index is drawn for a row, it cannot be drawn again for that row. 2025-08-14T21:16:40.6536512Z generator (Generator): Generator used in sampling. 2025-08-14T21:16:40.6536769Z 2025-08-14T21:16:40.6536868Z Example: 2025-08-14T21:16:40.6537129Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:40.6537468Z >>> list( 2025-08-14T21:16:40.6537724Z ... WeightedRandomSampler( 2025-08-14T21:16:40.6538066Z ... [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True 2025-08-14T21:16:40.6538403Z ... ) 2025-08-14T21:16:40.6538627Z ... ) 2025-08-14T21:16:40.6538837Z [4, 4, 1, 4, 5] 2025-08-14T21:16:40.6539080Z >>> list( 2025-08-14T21:16:40.6539327Z ... WeightedRandomSampler( 2025-08-14T21:16:40.6539704Z ... [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False 2025-08-14T21:16:40.6540031Z ... ) 2025-08-14T21:16:40.6540252Z ... ) 2025-08-14T21:16:40.6540468Z [0, 1, 4, 3, 2] 2025-08-14T21:16:40.6540693Z 2025-08-14T21:16:40.6541051Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6541400Z 2025-08-14T21:16:40.6541921Z msg = Cannot scrape callname=BatchSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=300. 2025-08-14T21:16:40.6542793Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6543307Z Wraps another sampler to yield a mini-batch of indices. 2025-08-14T21:16:40.6543584Z 2025-08-14T21:16:40.6543664Z Args: 2025-08-14T21:16:40.6544012Z sampler (Sampler or Iterable): Base sampler. Can be any iterable object 2025-08-14T21:16:40.6544450Z batch_size (int): Size of mini-batch. 2025-08-14T21:16:40.6544865Z drop_last (bool): If ``True``, the sampler will drop the last batch if 2025-08-14T21:16:40.6545308Z its size would be less than ``batch_size`` 2025-08-14T21:16:40.6545542Z 2025-08-14T21:16:40.6545638Z Example: 2025-08-14T21:16:40.6545904Z >>> list( 2025-08-14T21:16:40.6546138Z ... BatchSampler( 2025-08-14T21:16:40.6546519Z ... SequentialSampler(range(10)), batch_size=3, drop_last=False 2025-08-14T21:16:40.6546900Z ... ) 2025-08-14T21:16:40.6547118Z ... ) 2025-08-14T21:16:40.6547344Z [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]] 2025-08-14T21:16:40.6547626Z >>> list( 2025-08-14T21:16:40.6548015Z ... BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True) 2025-08-14T21:16:40.6548466Z ... ) 2025-08-14T21:16:40.6548754Z [[0, 1, 2], [3, 4, 5], [6, 7, 8]] 2025-08-14T21:16:40.6549041Z 2025-08-14T21:16:40.6549396Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6549747Z 2025-08-14T21:16:40.6722125Z msg = Cannot scrape callname=IterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py line=56. 2025-08-14T21:16:40.6723085Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6723450Z 2025-08-14T21:16:40.6723553Z Iterable-style DataPipe. 2025-08-14T21:16:40.6723732Z 2025-08-14T21:16:40.6723976Z All DataPipes that represent an iterable of data samples should subclass this. 2025-08-14T21:16:40.6724575Z This style of DataPipes is particularly useful when data come from a stream, or 2025-08-14T21:16:40.6725274Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its 2025-08-14T21:16:40.6726004Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``. 2025-08-14T21:16:40.6726405Z 2025-08-14T21:16:40.6726625Z All subclasses should overwrite :meth:`__iter__`, which would return an 2025-08-14T21:16:40.6727288Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its 2025-08-14T21:16:40.6728203Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should 2025-08-14T21:16:40.6728990Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers, 2025-08-14T21:16:40.6729576Z and various state variables within the custom ``IterDataPipe``. 2025-08-14T21:16:40.6729872Z 2025-08-14T21:16:40.6729965Z Note: 2025-08-14T21:16:40.6730278Z Only `one` iterator can be valid for each ``IterDataPipe`` at a time, 2025-08-14T21:16:40.6730940Z and the creation a second iterator will invalidate the first one. This constraint is necessary because 2025-08-14T21:16:40.6731755Z some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators. 2025-08-14T21:16:40.6732482Z The code example below presents details on how this constraint looks in practice. 2025-08-14T21:16:40.6733189Z If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_. 2025-08-14T21:16:40.6733671Z 2025-08-14T21:16:40.6733946Z These DataPipes can be invoked in two ways, using the class constructor or applying their 2025-08-14T21:16:40.6734676Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes). 2025-08-14T21:16:40.6735436Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple 2025-08-14T21:16:40.6735940Z operations in succession. 2025-08-14T21:16:40.6736121Z 2025-08-14T21:16:40.6736251Z .. _GitHub IterDataPipe Single Iterator Issue: 2025-08-14T21:16:40.6736635Z https://github.com/pytorch/data/issues/45 2025-08-14T21:16:40.6736866Z 2025-08-14T21:16:40.6736957Z Note: 2025-08-14T21:16:40.6737282Z When a subclass is used with :class:`~torch.utils.data.DataLoader`, each 2025-08-14T21:16:40.6737869Z item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader` 2025-08-14T21:16:40.6738453Z iterator. When :attr:`num_workers > 0`, each worker process will have a 2025-08-14T21:16:40.6738996Z different copy of the DataPipe object, so it is often desired to configure 2025-08-14T21:16:40.6739571Z each copy independently to avoid having duplicate data returned from the 2025-08-14T21:16:40.6740140Z workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker 2025-08-14T21:16:40.6740721Z process, returns information about the worker. It can be used in either the 2025-08-14T21:16:40.6741300Z dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's 2025-08-14T21:16:40.6741915Z :attr:`worker_init_fn` option to modify each copy's behavior. 2025-08-14T21:16:40.6742201Z 2025-08-14T21:16:40.6742297Z Examples: 2025-08-14T21:16:40.6742495Z General Usage: 2025-08-14T21:16:40.6742741Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.6743123Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-14T21:16:40.6743546Z >>> dp = IterableWrapper(range(10)) 2025-08-14T21:16:40.6743949Z >>> map_dp_1 = Mapper(dp, lambda x: x + 1) # Using class constructor 2025-08-14T21:16:40.6744350Z >>> map_dp_2 = dp.map( 2025-08-14T21:16:40.6744629Z ... lambda x: x + 1 2025-08-14T21:16:40.6744927Z ... ) # Using functional form (recommended) 2025-08-14T21:16:40.6745259Z >>> list(map_dp_1) 2025-08-14T21:16:40.6745518Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-14T21:16:40.6745877Z >>> list(map_dp_2) 2025-08-14T21:16:40.6746135Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-14T21:16:40.6746474Z >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0) 2025-08-14T21:16:40.6746825Z >>> list(filter_dp) 2025-08-14T21:16:40.6747084Z [2, 4, 6, 8, 10] 2025-08-14T21:16:40.6747352Z Single Iterator Constraint Example: 2025-08-14T21:16:40.6747760Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-14T21:16:40.6748198Z >>> source_dp = IterableWrapper(range(10)) 2025-08-14T21:16:40.6748571Z >>> it1 = iter(source_dp) 2025-08-14T21:16:40.6748885Z >>> list(it1) 2025-08-14T21:16:40.6749118Z [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] 2025-08-14T21:16:40.6749412Z >>> it1 = iter(source_dp) 2025-08-14T21:16:40.6749693Z >>> it2 = iter( 2025-08-14T21:16:40.6749928Z ... source_dp 2025-08-14T21:16:40.6750246Z ... ) # The creation of a new iterator invalidates `it1` 2025-08-14T21:16:40.6750601Z >>> next(it2) 2025-08-14T21:16:40.6750823Z 0 2025-08-14T21:16:40.6751128Z >>> next(it1) # Further usage of `it1` will raise a `RunTimeError` 2025-08-14T21:16:40.6751423Z 2025-08-14T21:16:40.6751678Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6752027Z 2025-08-14T21:16:40.6933098Z msg = Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=375. 2025-08-14T21:16:40.6934163Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6934525Z 2025-08-14T21:16:40.6934956Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``). 2025-08-14T21:16:40.6935585Z 2025-08-14T21:16:40.6935767Z A list of the child DataPipes is returned from this operation. 2025-08-14T21:16:40.6936224Z 2025-08-14T21:16:40.6936386Z Args: 2025-08-14T21:16:40.6936847Z datapipe: Iterable DataPipe being filtered 2025-08-14T21:16:40.6937255Z num_instances: number of instances of the DataPipe to create 2025-08-14T21:16:40.6937999Z classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None`` 2025-08-14T21:16:40.6938780Z drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None`` 2025-08-14T21:16:40.6939496Z buffer_size: this defines the maximum number of inputs that the buffer can hold across all child 2025-08-14T21:16:40.6940546Z DataPipes while waiting for their values to be yielded. 2025-08-14T21:16:40.6941000Z Defaults to ``1000``. Use ``-1`` for the unlimited buffer. 2025-08-14T21:16:40.6941269Z 2025-08-14T21:16:40.6941368Z Examples: 2025-08-14T21:16:40.6941596Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-14T21:16:40.6941993Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:40.6942370Z >>> def odd_or_even(n): 2025-08-14T21:16:40.6942620Z ... return n % 2 2025-08-14T21:16:40.6942899Z >>> source_dp = IterableWrapper(range(5)) 2025-08-14T21:16:40.6943492Z >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even) 2025-08-14T21:16:40.6943900Z >>> list(dp1) 2025-08-14T21:16:40.6944109Z [0, 2, 4] 2025-08-14T21:16:40.6944321Z >>> list(dp2) 2025-08-14T21:16:40.6944543Z [1, 3] 2025-08-14T21:16:40.6944877Z >>> # It can also filter out any element that gets `None` from the `classifier_fn` 2025-08-14T21:16:40.6945335Z >>> def odd_or_even_no_zero(n): 2025-08-14T21:16:40.6945722Z ... return n % 2 if n != 0 else None 2025-08-14T21:16:40.6946036Z >>> dp1, dp2 = source_dp.demux( 2025-08-14T21:16:40.6946444Z ... num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True 2025-08-14T21:16:40.6946849Z ... ) 2025-08-14T21:16:40.6947040Z >>> list(dp1) 2025-08-14T21:16:40.6947261Z [2, 4] 2025-08-14T21:16:40.6947464Z >>> list(dp2) 2025-08-14T21:16:40.6947674Z [1, 3] 2025-08-14T21:16:40.6947798Z 2025-08-14T21:16:40.6948041Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6948401Z 2025-08-14T21:16:40.6949078Z msg = Cannot scrape callname=MultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=594. 2025-08-14T21:16:40.6950092Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6950502Z 2025-08-14T21:16:40.6950809Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``). 2025-08-14T21:16:40.6951281Z 2025-08-14T21:16:40.6951610Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration, 2025-08-14T21:16:40.6952236Z and so on. It ends when the shortest input DataPipe is exhausted. 2025-08-14T21:16:40.6952533Z 2025-08-14T21:16:40.6952616Z Args: 2025-08-14T21:16:40.6953121Z datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted 2025-08-14T21:16:40.6953616Z 2025-08-14T21:16:40.6953705Z Example: 2025-08-14T21:16:40.6953951Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-14T21:16:40.6954354Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:40.6954714Z >>> dp1, dp2, dp3 = ( 2025-08-14T21:16:40.6954991Z ... IterableWrapper(range(3)), 2025-08-14T21:16:40.6955317Z ... IterableWrapper(range(10, 15)), 2025-08-14T21:16:40.6955634Z ... IterableWrapper(range(20, 25)), 2025-08-14T21:16:40.6955937Z ... ) 2025-08-14T21:16:40.6956154Z >>> list(dp1.mux(dp2, dp3)) 2025-08-14T21:16:40.6956428Z [0, 10, 20, 1, 11, 21, 2, 12, 22] 2025-08-14T21:16:40.6956612Z 2025-08-14T21:16:40.6956850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6957212Z 2025-08-14T21:16:40.6957839Z msg = Cannot scrape callname=ZipperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=665. 2025-08-14T21:16:40.6959146Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6959760Z 2025-08-14T21:16:40.6960063Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``). 2025-08-14T21:16:40.6960470Z 2025-08-14T21:16:40.6960687Z The output is stopped as soon as the shortest input DataPipe is exhausted. 2025-08-14T21:16:40.6961031Z 2025-08-14T21:16:40.6961111Z Args: 2025-08-14T21:16:40.6961375Z *datapipes: Iterable DataPipes being aggregated 2025-08-14T21:16:40.6961624Z 2025-08-14T21:16:40.6961720Z Example: 2025-08-14T21:16:40.6961944Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-14T21:16:40.6962345Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:40.6962721Z >>> dp1, dp2, dp3 = ( 2025-08-14T21:16:40.6962986Z ... IterableWrapper(range(5)), 2025-08-14T21:16:40.6963308Z ... IterableWrapper(range(10, 15)), 2025-08-14T21:16:40.6963637Z ... IterableWrapper(range(20, 25)), 2025-08-14T21:16:40.6964006Z ... ) 2025-08-14T21:16:40.6964228Z >>> list(dp1.zip(dp2, dp3)) 2025-08-14T21:16:40.6964542Z [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)] 2025-08-14T21:16:40.6964778Z 2025-08-14T21:16:40.6965018Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6965382Z 2025-08-14T21:16:40.6966047Z msg = Cannot scrape callname=FileOpenerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18. 2025-08-14T21:16:40.6967062Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6967437Z 2025-08-14T21:16:40.6967790Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``). 2025-08-14T21:16:40.6968255Z 2025-08-14T21:16:40.6968346Z Args: 2025-08-14T21:16:40.6968608Z datapipe: Iterable datapipe that provides pathnames 2025-08-14T21:16:40.6969047Z mode: An optional string that specifies the mode in which 2025-08-14T21:16:40.6969532Z the file is opened by ``open()``. It defaults to ``r``, other options are 2025-08-14T21:16:40.6970014Z ``b`` for reading in binary mode and ``t`` for text mode. 2025-08-14T21:16:40.6970459Z encoding: An optional string that specifies the encoding of the 2025-08-14T21:16:40.6971045Z underlying file. It defaults to ``None`` to match the default encoding of ``open``. 2025-08-14T21:16:40.6971562Z length: Nominal length of the datapipe 2025-08-14T21:16:40.6971775Z 2025-08-14T21:16:40.6971853Z Note: 2025-08-14T21:16:40.6972230Z The opened file handles will be closed by Python's GC periodically. Users can choose 2025-08-14T21:16:40.6972729Z to close them explicitly. 2025-08-14T21:16:40.6972908Z 2025-08-14T21:16:40.6973004Z Example: 2025-08-14T21:16:40.6973208Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.6973507Z >>> from torchdata.datapipes.iter import ( 2025-08-14T21:16:40.6973844Z ... FileLister, 2025-08-14T21:16:40.6974078Z ... FileOpener, 2025-08-14T21:16:40.6974332Z ... StreamReader, 2025-08-14T21:16:40.6974580Z ... ) 2025-08-14T21:16:40.6974895Z >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt")) 2025-08-14T21:16:40.6975320Z >>> dp = FileOpener(dp) 2025-08-14T21:16:40.6975603Z >>> dp = StreamReader(dp) 2025-08-14T21:16:40.6975859Z >>> list(dp) 2025-08-14T21:16:40.6976287Z [('./abc.txt', 'abc')] 2025-08-14T21:16:40.6976451Z 2025-08-14T21:16:40.6976710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.6977062Z 2025-08-14T21:16:40.6992320Z msg = Cannot scrape callname=GrouperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155. 2025-08-14T21:16:40.6993334Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:40.6993693Z 2025-08-14T21:16:40.6994085Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``. 2025-08-14T21:16:40.6994592Z 2025-08-14T21:16:40.6994697Z (functional name: ``groupby``). 2025-08-14T21:16:40.6994881Z 2025-08-14T21:16:40.6995254Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group 2025-08-14T21:16:40.6996018Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full, 2025-08-14T21:16:40.6996694Z the DataPipe will yield the largest batch with the same key, provided that its size is larger 2025-08-14T21:16:40.6997407Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``. 2025-08-14T21:16:40.6997826Z 2025-08-14T21:16:40.6998195Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity 2025-08-14T21:16:40.6999098Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``. 2025-08-14T21:16:40.6999508Z 2025-08-14T21:16:40.6999587Z Args: 2025-08-14T21:16:40.6999828Z datapipe: Iterable datapipe to be grouped 2025-08-14T21:16:40.7000326Z group_key_fn: Function used to generate group key from the data of the source datapipe 2025-08-14T21:16:40.7000916Z keep_key: Option to yield the matching key along with the items in a tuple, 2025-08-14T21:16:40.7001434Z resulting in `(key, [items])` otherwise returning [items] 2025-08-14T21:16:40.7001856Z buffer_size: The size of buffer for ungrouped data 2025-08-14T21:16:40.7002371Z group_size: The max size of each group, a batch is yielded as soon as it reaches this size 2025-08-14T21:16:40.7003061Z guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full 2025-08-14T21:16:40.7003834Z drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer 2025-08-14T21:16:40.7004398Z when the buffer is full 2025-08-14T21:16:40.7004578Z 2025-08-14T21:16:40.7004673Z Example: 2025-08-14T21:16:40.7004873Z >>> import os 2025-08-14T21:16:40.7005110Z >>> # xdoctest: +SKIP 2025-08-14T21:16:40.7005450Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:40.7005815Z >>> def group_fn(file): 2025-08-14T21:16:40.7006177Z ... return os.path.basename(file).split(".")[0] 2025-08-14T21:16:40.7006578Z >>> source_dp = IterableWrapper( 2025-08-14T21:16:40.7006925Z ... ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"] 2025-08-14T21:16:40.7007274Z ... ) 2025-08-14T21:16:40.7007533Z >>> dp0 = source_dp.groupby(group_key_fn=group_fn) 2025-08-14T21:16:40.7007852Z >>> list(dp0) 2025-08-14T21:16:40.7008149Z [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']] 2025-08-14T21:16:40.7008604Z >>> # A group is yielded as soon as its size equals to `group_size` 2025-08-14T21:16:40.7009082Z >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2) 2025-08-14T21:16:40.7009447Z >>> list(dp1) 2025-08-14T21:16:40.7009746Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-14T21:16:40.7010352Z >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size` 2025-08-14T21:16:40.7010890Z >>> dp2 = source_dp.groupby( 2025-08-14T21:16:40.7011183Z ... group_key_fn=group_fn, 2025-08-14T21:16:40.7011478Z ... buffer_size=3, 2025-08-14T21:16:40.7011725Z ... group_size=3, 2025-08-14T21:16:40.7011991Z ... guaranteed_group_size=2, 2025-08-14T21:16:40.7012271Z ... ) 2025-08-14T21:16:40.7012463Z >>> list(dp2) 2025-08-14T21:16:40.7012760Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-14T21:16:40.7013035Z 2025-08-14T21:16:40.7013274Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:40.7013624Z 2025-08-14T21:16:41.0313995Z gathering tests 2025-08-14T21:16:41.0325826Z running 732 test(s) 2025-08-14T21:16:41.0343972Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file 2025-08-14T21:16:41.0352713Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0 2025-08-14T21:16:41.0353841Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file 2025-08-14T21:16:41.0357167Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0 2025-08-14T21:16:41.0358257Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file 2025-08-14T21:16:41.0359408Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0 2025-08-14T21:16:41.0360789Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file 2025-08-14T21:16:41.0362003Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-08-14T21:16:41.0363155Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file 2025-08-14T21:16:41.0364289Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0 2025-08-14T21:16:41.0365467Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file 2025-08-14T21:16:41.0366716Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-08-14T21:16:41.0367860Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file 2025-08-14T21:16:41.0368917Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0 2025-08-14T21:16:41.0370089Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2840 <- wrt source file 2025-08-14T21:16:41.0371520Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-08-14T21:16:41.0372799Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-08-14T21:16:41.0374097Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0 2025-08-14T21:16:41.0375375Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-08-14T21:16:41.0376966Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0 2025-08-14T21:16:41.0378153Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-08-14T21:16:41.0379255Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0 2025-08-14T21:16:41.0380288Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-08-14T21:16:41.0381348Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0 2025-08-14T21:16:41.0382429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-08-14T21:16:41.0795444Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-08-14T21:16:41.0796643Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-08-14T21:16:41.0797939Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-08-14T21:16:41.0799127Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file 2025-08-14T21:16:41.0809606Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-08-14T21:16:41.0811045Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file 2025-08-14T21:16:41.0830962Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-08-14T21:16:41.0832237Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file 2025-08-14T21:16:41.0941797Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-08-14T21:16:41.0945540Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file 2025-08-14T21:16:41.0950793Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-08-14T21:16:41.0951905Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file 2025-08-14T21:16:41.0958200Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0 2025-08-14T21:16:41.0959309Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file 2025-08-14T21:16:41.0963936Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-08-14T21:16:41.0965164Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-08-14T21:16:41.0985420Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-08-14T21:16:41.0986651Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-08-14T21:16:41.0992171Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0 2025-08-14T21:16:41.0993307Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-08-14T21:16:41.0995444Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0 2025-08-14T21:16:41.0996549Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0, line 193 <- wrt source file 2025-08-14T21:16:41.1007977Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0 2025-08-14T21:16:41.1009018Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file 2025-08-14T21:16:41.1025522Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0 2025-08-14T21:16:41.1026751Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file 2025-08-14T21:16:41.1046787Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-08-14T21:16:41.1047951Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file 2025-08-14T21:16:41.1057398Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0 2025-08-14T21:16:41.1058515Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file 2025-08-14T21:16:41.1065001Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0 2025-08-14T21:16:41.1066209Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file 2025-08-14T21:16:41.1075195Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0 2025-08-14T21:16:41.1076460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0, line 1490 <- wrt source file 2025-08-14T21:16:41.1089616Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0 2025-08-14T21:16:41.1090689Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0, line 1531 <- wrt source file 2025-08-14T21:16:41.1106794Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0 2025-08-14T21:16:41.1107881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0, line 1569 <- wrt source file 2025-08-14T21:16:41.1124654Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0 2025-08-14T21:16:41.1125740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0, line 1609 <- wrt source file 2025-08-14T21:16:41.1146725Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0 2025-08-14T21:16:41.1147780Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0, line 1784 <- wrt source file 2025-08-14T21:16:41.1179966Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0 2025-08-14T21:16:41.1181072Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0, line 1952 <- wrt source file 2025-08-14T21:16:41.1207115Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0 2025-08-14T21:16:41.1208232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0, line 2052 <- wrt source file 2025-08-14T21:16:41.1209360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0 2025-08-14T21:16:41.1210450Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0, line 2153 <- wrt source file 2025-08-14T21:16:41.1211544Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0 2025-08-14T21:16:41.1212552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0, line 473 <- wrt source file 2025-08-14T21:16:41.1213541Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0 2025-08-14T21:16:41.1214500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0, line 533 <- wrt source file 2025-08-14T21:16:41.1215484Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0 2025-08-14T21:16:41.1216526Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file 2025-08-14T21:16:41.1217638Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0 2025-08-14T21:16:41.1218812Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file 2025-08-14T21:16:41.1227957Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-08-14T21:16:41.1229169Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file 2025-08-14T21:16:41.1231550Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0 2025-08-14T21:16:41.1232592Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0, line 512 <- wrt source file 2025-08-14T21:16:41.1242744Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0 2025-08-14T21:16:41.1243757Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0, line 618 <- wrt source file 2025-08-14T21:16:41.1258797Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0 2025-08-14T21:16:41.1259857Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file 2025-08-14T21:16:41.1260991Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0 2025-08-14T21:16:41.1262100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file 2025-08-14T21:16:41.1263385Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0 2025-08-14T21:16:41.1264544Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file 2025-08-14T21:16:41.1356656Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0 2025-08-14T21:16:41.1357796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file 2025-08-14T21:16:41.1514087Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0 2025-08-14T21:16:41.1515246Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file 2025-08-14T21:16:41.1520510Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0 2025-08-14T21:16:41.1521706Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file 2025-08-14T21:16:41.1560144Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0 2025-08-14T21:16:41.1561340Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file 2025-08-14T21:16:41.1563533Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0 2025-08-14T21:16:41.1564699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file 2025-08-14T21:16:41.1566359Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0 2025-08-14T21:16:41.1567582Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1960 <- wrt source file 2025-08-14T21:16:41.1594640Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-08-14T21:16:41.1596062Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file 2025-08-14T21:16:41.1601795Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0 2025-08-14T21:16:41.1602916Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-08-14T21:16:41.1604074Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0 2025-08-14T21:16:41.1605221Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file 2025-08-14T21:16:41.1606409Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0 2025-08-14T21:16:41.1607565Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file 2025-08-14T21:16:41.1608732Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0 2025-08-14T21:16:41.1609851Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file 2025-08-14T21:16:41.1611096Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0 2025-08-14T21:16:41.1612283Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file 2025-08-14T21:16:41.1613488Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0 2025-08-14T21:16:41.1614596Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file 2025-08-14T21:16:41.1615698Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0 2025-08-14T21:16:41.1616783Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-08-14T21:16:41.1617929Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0 2025-08-14T21:16:41.1619093Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file 2025-08-14T21:16:41.1620327Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-08-14T21:16:41.1621491Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file 2025-08-14T21:16:41.1627437Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0 2025-08-14T21:16:41.1628662Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file 2025-08-14T21:16:41.1633401Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-08-14T21:16:41.1634636Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file 2025-08-14T21:16:41.1635847Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0 2025-08-14T21:16:41.1637037Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file 2025-08-14T21:16:41.1638354Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-08-14T21:16:41.1639564Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file 2025-08-14T21:16:42.1240614Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-08-14T21:16:42.1241918Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file 2025-08-14T21:16:42.1243151Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-08-14T21:16:42.1244399Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file 2025-08-14T21:16:42.1245608Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-08-14T21:16:42.1246930Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 464 <- wrt source file 2025-08-14T21:16:42.1248202Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-08-14T21:16:42.1249719Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file 2025-08-14T21:16:42.1251310Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-08-14T21:16:42.1252771Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file 2025-08-14T21:16:42.1254298Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-08-14T21:16:42.1255655Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file 2025-08-14T21:16:42.1257058Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-08-14T21:16:42.1258326Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file 2025-08-14T21:16:42.1259680Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-08-14T21:16:42.1260912Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file 2025-08-14T21:16:42.1262017Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0 2025-08-14T21:16:42.1263083Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file 2025-08-14T21:16:42.1264165Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0 2025-08-14T21:16:42.1265293Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file 2025-08-14T21:16:42.1266599Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::register_dataclass:0 2025-08-14T21:16:42.1267837Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file 2025-08-14T21:16:42.1269271Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-08-14T21:16:42.1270506Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file 2025-08-14T21:16:42.1271759Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-08-14T21:16:42.1272944Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file 2025-08-14T21:16:42.1274108Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py::collect_all:0 2025-08-14T21:16:42.1275335Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-08-14T21:16:42.1276690Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/__init__.py::annotate:0 2025-08-14T21:16:42.1277883Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-08-14T21:16:42.1279198Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-08-14T21:16:42.1280498Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-08-14T21:16:42.1312944Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-08-14T21:16:42.1315242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-08-14T21:16:42.1317542Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-08-14T21:16:42.1319725Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-08-14T21:16:42.1383508Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::narrow:0 2025-08-14T21:16:42.1385888Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-08-14T21:16:42.1404139Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-08-14T21:16:42.1406493Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-08-14T21:16:42.1421767Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0 2025-08-14T21:16:42.1424190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-08-14T21:16:42.1447484Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-08-14T21:16:42.1450023Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file 2025-08-14T21:16:42.1452549Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-08-14T21:16:42.1454987Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/eval_frame.py::fullgraph_capture:0, line 2328 <- wrt source file 2025-08-14T21:16:42.1457682Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/eval_frame.py::fullgraph_capture:0 2025-08-14T21:16:42.1460273Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file 2025-08-14T21:16:42.1463064Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-08-14T21:16:42.1465774Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1386 <- wrt source file 2025-08-14T21:16:42.1468472Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-08-14T21:16:42.1471319Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 157 <- wrt source file 2025-08-14T21:16:42.1474365Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-08-14T21:16:42.1477168Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file 2025-08-14T21:16:42.1762778Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-08-14T21:16:42.1765752Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-08-14T21:16:42.1768076Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-08-14T21:16:42.1770463Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file 2025-08-14T21:16:42.1807522Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-08-14T21:16:42.1809674Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file 2025-08-14T21:16:42.1869230Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-08-14T21:16:42.1871496Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file 2025-08-14T21:16:42.2364115Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-08-14T21:16:42.2366162Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file 2025-08-14T21:16:42.2435298Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-08-14T21:16:42.2437508Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file 2025-08-14T21:16:42.2456240Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-08-14T21:16:42.2459175Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file 2025-08-14T21:16:42.2461625Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-08-14T21:16:42.2464473Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file 2025-08-14T21:16:42.2646242Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-08-14T21:16:42.2648648Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-08-14T21:16:42.2651223Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-08-14T21:16:42.2653586Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-08-14T21:16:42.2655924Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-08-14T21:16:42.2658338Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file 2025-08-14T21:16:42.2661205Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-08-14T21:16:42.2664027Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1186 <- wrt source file 2025-08-14T21:16:42.2667349Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-08-14T21:16:42.2670069Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 133 <- wrt source file 2025-08-14T21:16:42.2672751Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-08-14T21:16:42.2675369Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 269 <- wrt source file 2025-08-14T21:16:42.2678398Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-08-14T21:16:42.2680630Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 105 <- wrt source file 2025-08-14T21:16:42.2682520Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-08-14T21:16:42.2684521Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-08-14T21:16:42.2686649Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-08-14T21:16:42.2688457Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0, line 77 <- wrt source file 2025-08-14T21:16:42.2690159Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0 2025-08-14T21:16:42.2691858Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 155 <- wrt source file 2025-08-14T21:16:42.2693608Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-08-14T21:16:42.2695384Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 423 <- wrt source file 2025-08-14T21:16:42.2697541Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0 2025-08-14T21:16:42.2699385Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 371 <- wrt source file 2025-08-14T21:16:42.2701255Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-08-14T21:16:42.2703228Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1501 <- wrt source file 2025-08-14T21:16:42.2705373Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-08-14T21:16:42.2707538Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3349 <- wrt source file 2025-08-14T21:16:42.2709636Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-08-14T21:16:42.2711688Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0, line 45 <- wrt source file 2025-08-14T21:16:42.2713991Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0 2025-08-14T21:16:42.2716424Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file 2025-08-14T21:16:42.3284062Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-08-14T21:16:42.3286429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file 2025-08-14T21:16:42.3378639Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-08-14T21:16:42.3381328Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file 2025-08-14T21:16:42.3383753Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-08-14T21:16:42.3386321Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file 2025-08-14T21:16:42.3564910Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-08-14T21:16:42.3567359Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file 2025-08-14T21:16:42.3744263Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-08-14T21:16:42.3746963Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file 2025-08-14T21:16:42.3749547Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-08-14T21:16:42.3751989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file 2025-08-14T21:16:42.3754374Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-08-14T21:16:42.3757269Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-08-14T21:16:42.3829041Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-08-14T21:16:42.3831345Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file 2025-08-14T21:16:42.3837332Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-08-14T21:16:42.3839446Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file 2025-08-14T21:16:42.3841402Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0 2025-08-14T21:16:42.3843495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-08-14T21:16:42.3880683Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-08-14T21:16:42.3883222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-08-14T21:16:42.3940979Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-08-14T21:16:42.3943296Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-08-14T21:16:42.3945443Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-08-14T21:16:42.3946815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-08-14T21:16:42.4012345Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-08-14T21:16:42.4014566Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-08-14T21:16:42.4017237Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-08-14T21:16:42.4019560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-08-14T21:16:42.4023283Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-08-14T21:16:42.4025551Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-08-14T21:16:42.4027789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-08-14T21:16:42.4029838Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-08-14T21:16:42.4032147Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-08-14T21:16:42.4034316Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-08-14T21:16:42.4036869Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-08-14T21:16:42.4039082Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-08-14T21:16:42.4041243Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-08-14T21:16:42.4043485Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file 2025-08-14T21:16:42.4045888Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-08-14T21:16:42.4048628Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-08-14T21:16:42.4051629Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-08-14T21:16:42.4054608Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-08-14T21:16:42.4058393Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-08-14T21:16:42.4062205Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-08-14T21:16:42.4066094Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-08-14T21:16:42.4069796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-08-14T21:16:42.4072702Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-08-14T21:16:42.4075254Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file 2025-08-14T21:16:42.4077831Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-08-14T21:16:42.4080009Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-08-14T21:16:42.4107267Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-08-14T21:16:42.4109989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file 2025-08-14T21:16:42.4112379Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-08-14T21:16:42.4114648Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file 2025-08-14T21:16:42.4116845Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-08-14T21:16:42.4119167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file 2025-08-14T21:16:42.4121536Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-08-14T21:16:42.4123974Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-08-14T21:16:42.4126505Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-08-14T21:16:42.4128982Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-08-14T21:16:42.4131525Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-08-14T21:16:42.4134010Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-08-14T21:16:42.4136633Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-08-14T21:16:42.4138940Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file 2025-08-14T21:16:42.4141521Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-08-14T21:16:42.4144198Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file 2025-08-14T21:16:42.4147038Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-08-14T21:16:42.4149601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file 2025-08-14T21:16:42.4151655Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-08-14T21:16:42.4153111Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file 2025-08-14T21:16:42.4154584Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-08-14T21:16:42.4156036Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file 2025-08-14T21:16:42.4157493Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-08-14T21:16:42.4158891Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-08-14T21:16:42.4160965Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-08-14T21:16:42.4163101Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file 2025-08-14T21:16:42.4165238Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-08-14T21:16:42.4166577Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2025-08-14T21:16:42.4167910Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-08-14T21:16:42.4169365Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file 2025-08-14T21:16:42.4170746Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-08-14T21:16:42.4172084Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file 2025-08-14T21:16:42.4173467Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-08-14T21:16:42.4174812Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file 2025-08-14T21:16:42.4176896Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-08-14T21:16:42.4179410Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-08-14T21:16:42.4182276Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-08-14T21:16:42.4185148Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file 2025-08-14T21:16:42.4188239Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-08-14T21:16:42.4190652Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2025-08-14T21:16:42.4193133Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-08-14T21:16:42.4195775Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2025-08-14T21:16:42.4198858Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-08-14T21:16:42.4201699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2025-08-14T21:16:42.4204682Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-08-14T21:16:42.4207585Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2025-08-14T21:16:42.4210427Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-08-14T21:16:42.4213006Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-08-14T21:16:42.4215408Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-08-14T21:16:42.4217919Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-08-14T21:16:42.4220733Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-08-14T21:16:42.4223299Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-08-14T21:16:42.4226380Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-08-14T21:16:42.4228956Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-08-14T21:16:42.4231583Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-08-14T21:16:42.4234006Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2025-08-14T21:16:42.4236392Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-08-14T21:16:42.4239117Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-08-14T21:16:42.4242182Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-08-14T21:16:42.4244925Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-08-14T21:16:42.4247721Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-08-14T21:16:42.4250373Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-08-14T21:16:42.4252829Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-08-14T21:16:42.4254913Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file 2025-08-14T21:16:42.4257054Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-08-14T21:16:42.4259292Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2025-08-14T21:16:42.4263341Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-08-14T21:16:42.4265935Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2025-08-14T21:16:42.4272139Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-08-14T21:16:42.4274688Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2025-08-14T21:16:42.4279078Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-08-14T21:16:42.4281674Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2025-08-14T21:16:42.4286386Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-08-14T21:16:42.4289009Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-08-14T21:16:42.4291685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-08-14T21:16:42.4294241Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-08-14T21:16:42.4296800Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-08-14T21:16:42.4299211Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-08-14T21:16:42.4301685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-08-14T21:16:42.4304105Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-08-14T21:16:42.4306678Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-08-14T21:16:42.4308984Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-08-14T21:16:42.4311640Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-08-14T21:16:42.4314227Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-08-14T21:16:42.4316683Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-08-14T21:16:42.4319229Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-08-14T21:16:42.4321895Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-08-14T21:16:42.4324595Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-08-14T21:16:42.4327500Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-08-14T21:16:42.4330266Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-08-14T21:16:42.4332710Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-08-14T21:16:42.4335113Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-08-14T21:16:42.4337663Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-08-14T21:16:42.4340210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-08-14T21:16:42.4342798Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-08-14T21:16:42.4345315Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file 2025-08-14T21:16:42.4348052Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-08-14T21:16:42.4350499Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file 2025-08-14T21:16:42.4353020Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-08-14T21:16:42.4355513Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file 2025-08-14T21:16:42.4358086Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-08-14T21:16:42.4360559Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file 2025-08-14T21:16:42.4363084Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-08-14T21:16:42.4365509Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file 2025-08-14T21:16:42.4367714Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-08-14T21:16:42.4369977Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file 2025-08-14T21:16:42.4372587Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-08-14T21:16:42.4375147Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-08-14T21:16:42.4377811Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-08-14T21:16:42.4380196Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file 2025-08-14T21:16:42.4382556Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-08-14T21:16:42.4385008Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file 2025-08-14T21:16:42.4387754Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-08-14T21:16:42.4390207Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file 2025-08-14T21:16:42.4392761Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-08-14T21:16:42.4395562Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file 2025-08-14T21:16:42.4398520Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-08-14T21:16:42.4400764Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-08-14T21:16:42.4403169Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-08-14T21:16:42.4405247Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-08-14T21:16:42.4407345Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-08-14T21:16:42.4409349Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-08-14T21:16:42.4411420Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-08-14T21:16:42.4413467Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-08-14T21:16:42.4415710Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-08-14T21:16:42.4418102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file 2025-08-14T21:16:42.4420689Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-08-14T21:16:42.4423144Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file 2025-08-14T21:16:42.4425764Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-08-14T21:16:42.4427972Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file 2025-08-14T21:16:42.4430325Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-08-14T21:16:42.4432579Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file 2025-08-14T21:16:42.4435298Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-08-14T21:16:42.4437975Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file 2025-08-14T21:16:42.4440360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-08-14T21:16:42.4442349Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file 2025-08-14T21:16:42.4444422Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0 2025-08-14T21:16:42.4446631Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file 2025-08-14T21:16:42.4448941Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0 2025-08-14T21:16:42.4451137Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file 2025-08-14T21:16:42.4453101Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0 2025-08-14T21:16:42.4455100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file 2025-08-14T21:16:42.4457418Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0 2025-08-14T21:16:42.4459607Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file 2025-08-14T21:16:42.4461832Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0 2025-08-14T21:16:42.4463966Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file 2025-08-14T21:16:42.4466231Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0 2025-08-14T21:16:42.4468350Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file 2025-08-14T21:16:42.4470518Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0 2025-08-14T21:16:42.4472563Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-08-14T21:16:42.4474714Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-08-14T21:16:42.4477147Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-08-14T21:16:42.4479571Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-08-14T21:16:42.4481771Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-08-14T21:16:42.4484115Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-08-14T21:16:42.4486386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 238 <- wrt source file 2025-08-14T21:16:42.4488685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-08-14T21:16:42.4490724Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file 2025-08-14T21:16:42.4492851Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.name:0 2025-08-14T21:16:42.4494888Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file 2025-08-14T21:16:42.4497235Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-08-14T21:16:42.4499601Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file 2025-08-14T21:16:42.4501990Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-08-14T21:16:42.4504317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 283 <- wrt source file 2025-08-14T21:16:42.4506785Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-08-14T21:16:42.4509022Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 353 <- wrt source file 2025-08-14T21:16:42.4511227Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-08-14T21:16:42.4513704Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 410 <- wrt source file 2025-08-14T21:16:42.4516256Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-08-14T21:16:42.4518758Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 487 <- wrt source file 2025-08-14T21:16:42.4521256Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-08-14T21:16:42.4523639Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 753 <- wrt source file 2025-08-14T21:16:42.4526172Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-08-14T21:16:42.4528470Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-08-14T21:16:42.4530678Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0 2025-08-14T21:16:42.4533012Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file 2025-08-14T21:16:42.4535287Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-08-14T21:16:42.4537450Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file 2025-08-14T21:16:42.4539665Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-08-14T21:16:42.4541811Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file 2025-08-14T21:16:42.4543972Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-08-14T21:16:42.4546211Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file 2025-08-14T21:16:42.4548383Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-08-14T21:16:42.4550359Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file 2025-08-14T21:16:42.4552340Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0 2025-08-14T21:16:42.4554386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-08-14T21:16:42.4556577Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-08-14T21:16:42.4558762Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-08-14T21:16:42.4561004Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-08-14T21:16:42.4563157Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-08-14T21:16:42.4565370Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-08-14T21:16:42.4567815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-08-14T21:16:42.4570265Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-08-14T21:16:42.4572451Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-08-14T21:16:42.4574587Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0 2025-08-14T21:16:42.4577290Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 431 <- wrt source file 2025-08-14T21:16:42.4579415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-08-14T21:16:42.4581730Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 976 <- wrt source file 2025-08-14T21:16:42.4584344Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-08-14T21:16:42.4586892Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1122 <- wrt source file 2025-08-14T21:16:42.4589573Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-08-14T21:16:42.4592145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2574 <- wrt source file 2025-08-14T21:16:42.4594851Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0 2025-08-14T21:16:42.4597433Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2676 <- wrt source file 2025-08-14T21:16:42.4600058Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0 2025-08-14T21:16:42.4602596Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3143 <- wrt source file 2025-08-14T21:16:42.4605176Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0 2025-08-14T21:16:42.4607691Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3372 <- wrt source file 2025-08-14T21:16:42.4610150Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-08-14T21:16:42.4612291Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3474 <- wrt source file 2025-08-14T21:16:42.4614556Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2025-08-14T21:16:42.4617082Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3588 <- wrt source file 2025-08-14T21:16:42.4619415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2025-08-14T21:16:42.4621685Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3711 <- wrt source file 2025-08-14T21:16:42.4624528Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-08-14T21:16:42.4627082Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3920 <- wrt source file 2025-08-14T21:16:42.4629607Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-08-14T21:16:42.4632220Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4058 <- wrt source file 2025-08-14T21:16:42.4634507Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0 2025-08-14T21:16:42.4636702Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4164 <- wrt source file 2025-08-14T21:16:42.4639098Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::gather:0 2025-08-14T21:16:42.4641199Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4249 <- wrt source file 2025-08-14T21:16:42.4643715Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::scatter:0 2025-08-14T21:16:42.4646055Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4387 <- wrt source file 2025-08-14T21:16:42.4648483Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0 2025-08-14T21:16:42.4651094Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4869 <- wrt source file 2025-08-14T21:16:42.4653659Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0 2025-08-14T21:16:42.4656002Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5411 <- wrt source file 2025-08-14T21:16:42.4658559Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0 2025-08-14T21:16:42.4661039Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5505 <- wrt source file 2025-08-14T21:16:42.4663560Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0 2025-08-14T21:16:42.4666059Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file 2025-08-14T21:16:42.4668522Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/run.py::__doc__:0 2025-08-14T21:16:42.4670890Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file 2025-08-14T21:16:42.4673368Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/autograd/__init__.py::context:0 2025-08-14T21:16:42.4675874Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file 2025-08-14T21:16:42.4678607Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0 2025-08-14T21:16:42.4681356Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file 2025-08-14T21:16:42.4683707Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/contract.py::contract:0 2025-08-14T21:16:42.4685964Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file 2025-08-14T21:16:42.4688600Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate.py::replicate:0 2025-08-14T21:16:42.4690917Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0, line 247 <- wrt source file 2025-08-14T21:16:42.4693623Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0 2025-08-14T21:16:42.4696187Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file 2025-08-14T21:16:42.4698985Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0 2025-08-14T21:16:42.4703040Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file 2025-08-14T21:16:42.4706553Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0 2025-08-14T21:16:42.4709775Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0, line 18 <- wrt source file 2025-08-14T21:16:42.4712828Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0 2025-08-14T21:16:42.4715455Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0, line 142 <- wrt source file 2025-08-14T21:16:42.4718598Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0 2025-08-14T21:16:42.4721317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get:0, line 195 <- wrt source file 2025-08-14T21:16:42.4724124Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get:0 2025-08-14T21:16:42.4726801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0, line 268 <- wrt source file 2025-08-14T21:16:42.4729414Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0 2025-08-14T21:16:42.4732032Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0, line 323 <- wrt source file 2025-08-14T21:16:42.4734770Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0 2025-08-14T21:16:42.4737207Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0, line 386 <- wrt source file 2025-08-14T21:16:42.4740169Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0 2025-08-14T21:16:42.4742894Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_op:0, line 437 <- wrt source file 2025-08-14T21:16:42.4745440Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_op:0 2025-08-14T21:16:42.4747939Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0, line 490 <- wrt source file 2025-08-14T21:16:42.4750581Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0 2025-08-14T21:16:42.4753317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::quiet:0, line 536 <- wrt source file 2025-08-14T21:16:42.4756181Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::quiet:0 2025-08-14T21:16:42.4759169Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::my_pe:0, line 580 <- wrt source file 2025-08-14T21:16:42.4761893Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::my_pe:0 2025-08-14T21:16:42.4764842Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::n_pes:0, line 623 <- wrt source file 2025-08-14T21:16:42.4767600Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::n_pes:0 2025-08-14T21:16:42.4770167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0, line 674 <- wrt source file 2025-08-14T21:16:42.4772611Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0 2025-08-14T21:16:42.4775430Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0, line 720 <- wrt source file 2025-08-14T21:16:42.4778727Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0 2025-08-14T21:16:42.4781412Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::alltoall:0, line 759 <- wrt source file 2025-08-14T21:16:42.4784613Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::alltoall:0 2025-08-14T21:16:42.4787641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::broadcast:0, line 814 <- wrt source file 2025-08-14T21:16:42.4790425Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::broadcast:0 2025-08-14T21:16:42.4793283Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce:0, line 875 <- wrt source file 2025-08-14T21:16:42.4796347Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce:0 2025-08-14T21:16:42.4799332Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0, line 921 <- wrt source file 2025-08-14T21:16:42.4802135Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0 2025-08-14T21:16:42.4804650Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file 2025-08-14T21:16:42.4806943Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0 2025-08-14T21:16:42.4809190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file 2025-08-14T21:16:42.4811473Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/join.py::Join:0 2025-08-14T21:16:42.4813888Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file 2025-08-14T21:16:42.4817301Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0 2025-08-14T21:16:42.4820663Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file 2025-08-14T21:16:42.4823584Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0 2025-08-14T21:16:42.4826460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file 2025-08-14T21:16:42.4829475Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0 2025-08-14T21:16:42.4832232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 104 <- wrt source file 2025-08-14T21:16:42.4835264Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0 2025-08-14T21:16:42.4837963Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 125 <- wrt source file 2025-08-14T21:16:42.4840486Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0 2025-08-14T21:16:42.4843194Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 143 <- wrt source file 2025-08-14T21:16:42.4845919Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0 2025-08-14T21:16:42.4848781Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 182 <- wrt source file 2025-08-14T21:16:42.4851789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0 2025-08-14T21:16:42.4854771Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file 2025-08-14T21:16:42.4858103Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0 2025-08-14T21:16:42.4861692Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file 2025-08-14T21:16:42.4865424Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0 2025-08-14T21:16:42.4869169Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file 2025-08-14T21:16:42.4872916Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0 2025-08-14T21:16:42.4876120Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1395 <- wrt source file 2025-08-14T21:16:42.4879029Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0 2025-08-14T21:16:42.4882102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1454 <- wrt source file 2025-08-14T21:16:42.4885040Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0 2025-08-14T21:16:42.4887881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file 2025-08-14T21:16:42.4890758Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0 2025-08-14T21:16:42.4893663Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 77 <- wrt source file 2025-08-14T21:16:42.4896762Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0 2025-08-14T21:16:42.4899372Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 138 <- wrt source file 2025-08-14T21:16:42.4902253Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0 2025-08-14T21:16:42.4905250Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file 2025-08-14T21:16:42.4908352Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0 2025-08-14T21:16:42.4911167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file 2025-08-14T21:16:42.4914205Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0 2025-08-14T21:16:42.4917357Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0, line 213 <- wrt source file 2025-08-14T21:16:42.4920348Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0 2025-08-14T21:16:42.4923267Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file 2025-08-14T21:16:42.4926352Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0 2025-08-14T21:16:42.4929415Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 206 <- wrt source file 2025-08-14T21:16:42.4932290Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0 2025-08-14T21:16:42.4935092Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 231 <- wrt source file 2025-08-14T21:16:42.4938116Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0 2025-08-14T21:16:42.4941000Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 141 <- wrt source file 2025-08-14T21:16:42.4943830Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0 2025-08-14T21:16:42.4946481Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file 2025-08-14T21:16:42.4948854Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py::StateDictType:0 2025-08-14T21:16:42.4951548Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file 2025-08-14T21:16:42.4954719Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0 2025-08-14T21:16:42.4957901Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1490 <- wrt source file 2025-08-14T21:16:42.4961511Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0 2025-08-14T21:16:42.4965083Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1610 <- wrt source file 2025-08-14T21:16:42.4968649Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0 2025-08-14T21:16:42.4972179Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1695 <- wrt source file 2025-08-14T21:16:42.4975741Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0 2025-08-14T21:16:42.4979179Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file 2025-08-14T21:16:42.4981964Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0 2025-08-14T21:16:42.4984523Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file 2025-08-14T21:16:42.4986963Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0 2025-08-14T21:16:42.4989342Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file 2025-08-14T21:16:42.4991896Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0 2025-08-14T21:16:42.4994682Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file 2025-08-14T21:16:42.4997758Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0 2025-08-14T21:16:42.5001031Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file 2025-08-14T21:16:42.5004213Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0 2025-08-14T21:16:42.5007041Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file 2025-08-14T21:16:42.5009741Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0 2025-08-14T21:16:42.5012317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file 2025-08-14T21:16:42.5014980Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0 2025-08-14T21:16:42.5017445Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file 2025-08-14T21:16:42.5019855Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0 2025-08-14T21:16:42.5022522Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 83 <- wrt source file 2025-08-14T21:16:42.5025448Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0 2025-08-14T21:16:42.5028457Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file 2025-08-14T21:16:42.5031364Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0 2025-08-14T21:16:42.5033892Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file 2025-08-14T21:16:42.5036090Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0 2025-08-14T21:16:42.5038442Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file 2025-08-14T21:16:42.5040542Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::shutdown:0 2025-08-14T21:16:42.5042642Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::remote:0, line 606 <- wrt source file 2025-08-14T21:16:42.5044800Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::remote:0 2025-08-14T21:16:42.5046994Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file 2025-08-14T21:16:42.5049275Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_sync:0 2025-08-14T21:16:42.5051397Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file 2025-08-14T21:16:42.5053720Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::rpc_async:0 2025-08-14T21:16:42.5056067Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 837 <- wrt source file 2025-08-14T21:16:42.5058617Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0 2025-08-14T21:16:42.5061316Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 280 <- wrt source file 2025-08-14T21:16:42.5064403Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0 2025-08-14T21:16:42.5067387Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 230 <- wrt source file 2025-08-14T21:16:42.5070095Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0 2025-08-14T21:16:42.5072796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 56 <- wrt source file 2025-08-14T21:16:42.5075465Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0 2025-08-14T21:16:42.5078447Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file 2025-08-14T21:16:42.5081313Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0 2025-08-14T21:16:42.5083968Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file 2025-08-14T21:16:42.5086711Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0 2025-08-14T21:16:42.5089403Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file 2025-08-14T21:16:42.5092212Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0 2025-08-14T21:16:42.5094982Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-08-14T21:16:42.5098029Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-08-14T21:16:42.5100772Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-08-14T21:16:42.5103529Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-08-14T21:16:42.5106107Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-08-14T21:16:42.5108508Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-08-14T21:16:42.5110739Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-08-14T21:16:42.5112903Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0 2025-08-14T21:16:42.5115097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-08-14T21:16:42.5117372Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0 2025-08-14T21:16:42.5119628Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-08-14T21:16:42.5121523Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0 2025-08-14T21:16:42.5123323Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-08-14T21:16:42.5125262Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-08-14T21:16:42.5127145Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-08-14T21:16:42.5128989Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0 2025-08-14T21:16:42.5131090Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file 2025-08-14T21:16:42.5133398Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-08-14T21:16:42.5135609Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file 2025-08-14T21:16:42.5137682Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-08-14T21:16:42.5139105Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-08-14T21:16:42.5140594Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-08-14T21:16:42.5141919Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file 2025-08-14T21:16:42.5143168Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-08-14T21:16:42.5144417Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-08-14T21:16:42.5146746Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0 2025-08-14T21:16:42.5148996Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-08-14T21:16:42.5151613Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-08-14T21:16:42.5153881Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-08-14T21:16:42.5156051Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0 2025-08-14T21:16:42.5158486Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-08-14T21:16:42.5161270Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-08-14T21:16:42.5163774Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-08-14T21:16:42.5166247Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0 2025-08-14T21:16:42.5168541Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-08-14T21:16:42.5170787Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-08-14T21:16:42.5173068Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-08-14T21:16:42.5175450Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-08-14T21:16:42.5177998Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-08-14T21:16:42.5180409Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-08-14T21:16:42.5182824Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-08-14T21:16:42.5185261Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0 2025-08-14T21:16:42.5187785Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-08-14T21:16:42.5190271Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-08-14T21:16:42.5192711Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-08-14T21:16:42.5195160Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-08-14T21:16:42.5197432Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-08-14T21:16:42.5199435Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0 2025-08-14T21:16:42.5201671Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-08-14T21:16:42.5203850Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-08-14T21:16:42.5205902Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-08-14T21:16:42.5207994Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-08-14T21:16:42.5210167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-08-14T21:16:42.5211780Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-08-14T21:16:42.5213276Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-08-14T21:16:42.5214783Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-08-14T21:16:42.5216297Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-08-14T21:16:42.5217971Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-08-14T21:16:42.5220381Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-08-14T21:16:42.5222606Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0 2025-08-14T21:16:42.5224843Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-08-14T21:16:42.5227759Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-08-14T21:16:42.5230231Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-08-14T21:16:42.5232503Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0 2025-08-14T21:16:42.5234720Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-08-14T21:16:42.5237040Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0 2025-08-14T21:16:42.5239261Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-08-14T21:16:42.5241420Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0 2025-08-14T21:16:42.5243611Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file 2025-08-14T21:16:42.5246061Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-08-14T21:16:42.5248541Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file 2025-08-14T21:16:42.5251063Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-08-14T21:16:42.5253911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file 2025-08-14T21:16:42.5256830Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-08-14T21:16:42.5259378Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-08-14T21:16:42.5261634Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0 2025-08-14T21:16:42.5263869Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-08-14T21:16:42.5266244Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-08-14T21:16:42.5268532Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file 2025-08-14T21:16:42.5270844Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-08-14T21:16:42.5273096Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-08-14T21:16:42.5275544Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0 2025-08-14T21:16:42.5277989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-08-14T21:16:42.5280290Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0 2025-08-14T21:16:42.5282455Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file 2025-08-14T21:16:42.5284656Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::Dim:0 2025-08-14T21:16:42.5286921Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file 2025-08-14T21:16:42.5289405Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0 2025-08-14T21:16:42.5291798Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file 2025-08-14T21:16:42.5294256Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1 2025-08-14T21:16:42.5296647Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file 2025-08-14T21:16:42.5299111Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0 2025-08-14T21:16:42.5301305Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file 2025-08-14T21:16:42.5303326Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0 2025-08-14T21:16:42.5305511Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1873 <- wrt source file 2025-08-14T21:16:42.5307911Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0 2025-08-14T21:16:42.5310384Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1967 <- wrt source file 2025-08-14T21:16:42.5312636Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0 2025-08-14T21:16:42.5314840Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0, line 49 <- wrt source file 2025-08-14T21:16:42.5317073Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0 2025-08-14T21:16:42.5319230Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Transformer:0, line 480 <- wrt source file 2025-08-14T21:16:42.5321446Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Transformer:0 2025-08-14T21:16:42.5323695Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 125 <- wrt source file 2025-08-14T21:16:42.5326113Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0 2025-08-14T21:16:42.5328314Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file 2025-08-14T21:16:42.5330582Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::TensorType:0 2025-08-14T21:16:42.5332768Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file 2025-08-14T21:16:42.5334953Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0 2025-08-14T21:16:42.5337134Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file 2025-08-14T21:16:42.5339357Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0 2025-08-14T21:16:42.5341837Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 96 <- wrt source file 2025-08-14T21:16:42.5344585Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0 2025-08-14T21:16:42.5347267Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file 2025-08-14T21:16:42.5349746Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0 2025-08-14T21:16:42.5352303Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file 2025-08-14T21:16:42.5354985Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0 2025-08-14T21:16:42.5357606Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file 2025-08-14T21:16:42.5360193Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unifiable:0 2025-08-14T21:16:42.5362742Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file 2025-08-14T21:16:42.5365315Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::reify_object:0 2025-08-14T21:16:42.5368012Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 93 <- wrt source file 2025-08-14T21:16:42.5370651Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/more.py::unify_object:0 2025-08-14T21:16:42.5373334Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file 2025-08-14T21:16:42.5376273Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0 2025-08-14T21:16:42.5379070Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file 2025-08-14T21:16:42.5381959Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0 2025-08-14T21:16:42.5384742Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file 2025-08-14T21:16:42.5387598Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0 2025-08-14T21:16:42.5390507Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file 2025-08-14T21:16:42.5393322Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0 2025-08-14T21:16:42.5396056Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file 2025-08-14T21:16:42.5398910Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0 2025-08-14T21:16:42.5401678Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file 2025-08-14T21:16:42.5404565Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0 2025-08-14T21:16:42.5407383Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file 2025-08-14T21:16:42.5410297Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0 2025-08-14T21:16:42.5413140Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file 2025-08-14T21:16:42.5416034Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0 2025-08-14T21:16:42.5418818Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file 2025-08-14T21:16:42.5421608Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0 2025-08-14T21:16:42.5424345Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file 2025-08-14T21:16:42.5427442Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0 2025-08-14T21:16:42.5430195Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 416 <- wrt source file 2025-08-14T21:16:42.5432978Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0 2025-08-14T21:16:42.5435661Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file 2025-08-14T21:16:42.5438352Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0 2025-08-14T21:16:42.5440926Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file 2025-08-14T21:16:42.5443520Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0 2025-08-14T21:16:42.5446114Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file 2025-08-14T21:16:42.5448747Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0 2025-08-14T21:16:42.5451401Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file 2025-08-14T21:16:42.5453935Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/utils.py::freeze:0 2025-08-14T21:16:42.5456483Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file 2025-08-14T21:16:42.5459148Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/variable.py::variables:0 2025-08-14T21:16:42.5461932Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file 2025-08-14T21:16:42.5464881Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0 2025-08-14T21:16:42.5468015Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file 2025-08-14T21:16:42.5471191Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0 2025-08-14T21:16:42.5474371Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file 2025-08-14T21:16:42.5477944Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0 2025-08-14T21:16:42.5481173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file 2025-08-14T21:16:42.5484424Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0 2025-08-14T21:16:42.5502530Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 304 <- wrt source file 2025-08-14T21:16:42.5506391Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0 2025-08-14T21:16:42.5509659Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file 2025-08-14T21:16:42.5512874Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0 2025-08-14T21:16:42.5515963Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file 2025-08-14T21:16:42.5519060Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0 2025-08-14T21:16:42.5522035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file 2025-08-14T21:16:42.5525058Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0 2025-08-14T21:16:42.5528059Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file 2025-08-14T21:16:42.5531186Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0 2025-08-14T21:16:42.5534152Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file 2025-08-14T21:16:42.5537113Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0 2025-08-14T21:16:42.5540059Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file 2025-08-14T21:16:42.5543034Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0 2025-08-14T21:16:42.5546155Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file 2025-08-14T21:16:42.5549245Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0 2025-08-14T21:16:42.5552241Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file 2025-08-14T21:16:42.5555301Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0 2025-08-14T21:16:42.5558084Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-08-14T21:16:42.5560774Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-08-14T21:16:42.5563181Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-08-14T21:16:42.5565472Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-08-14T21:16:42.5567829Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file 2025-08-14T21:16:42.5570206Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-08-14T21:16:42.5573018Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-08-14T21:16:42.5576493Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-08-14T21:16:42.5579323Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file 2025-08-14T21:16:42.5581904Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-08-14T21:16:42.5584371Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-08-14T21:16:42.5586959Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-08-14T21:16:42.5589643Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file 2025-08-14T21:16:42.5592278Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-08-14T21:16:42.5594762Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file 2025-08-14T21:16:42.5597235Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-08-14T21:16:42.5599463Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file 2025-08-14T21:16:42.5601570Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0 2025-08-14T21:16:42.5603833Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-08-14T21:16:42.5606355Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-08-14T21:16:42.5608841Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file 2025-08-14T21:16:42.5611527Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-08-14T21:16:42.5614062Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file 2025-08-14T21:16:42.6318846Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-08-14T21:16:42.6342596Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file 2025-08-14T21:16:42.6353099Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-08-14T21:16:42.6356033Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file 2025-08-14T21:16:42.6363349Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0 2025-08-14T21:16:42.6365354Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file 2025-08-14T21:16:42.6374748Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0 2025-08-14T21:16:42.6377184Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file 2025-08-14T21:16:42.6391629Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0 2025-08-14T21:16:42.6393653Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file 2025-08-14T21:16:42.6399727Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0 2025-08-14T21:16:42.6402179Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file 2025-08-14T21:16:42.6411107Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0 2025-08-14T21:16:42.6413953Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file 2025-08-14T21:16:42.6420044Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-08-14T21:16:42.6422676Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file 2025-08-14T21:16:42.6428454Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-08-14T21:16:42.6430877Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file 2025-08-14T21:16:42.6440022Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0 2025-08-14T21:16:42.6442001Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-08-14T21:16:42.6449961Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0 2025-08-14T21:16:42.6452314Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-08-14T21:16:42.6456559Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-08-14T21:16:42.6458565Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-08-14T21:16:42.6465978Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0 2025-08-14T21:16:42.6468370Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-08-14T21:16:42.6472391Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-08-14T21:16:42.6474415Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-08-14T21:16:42.6505924Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0 2025-08-14T21:16:42.6508957Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-08-14T21:16:42.6547890Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-08-14T21:16:42.6550334Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file 2025-08-14T21:16:42.6552853Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0 2025-08-14T21:16:42.6554897Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file 2025-08-14T21:16:42.6556943Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0 2025-08-14T21:16:42.6559020Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file 2025-08-14T21:16:42.6573543Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0 2025-08-14T21:16:42.6575635Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file 2025-08-14T21:16:42.6578155Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0 2025-08-14T21:16:42.6580242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file 2025-08-14T21:16:42.6582265Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0 2025-08-14T21:16:42.6584240Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file 2025-08-14T21:16:42.6586359Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0 2025-08-14T21:16:42.6588317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file 2025-08-14T21:16:42.6590320Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0 2025-08-14T21:16:42.6592299Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file 2025-08-14T21:16:42.6594871Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0 2025-08-14T21:16:42.6596721Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file 2025-08-14T21:16:42.6598865Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-08-14T21:16:42.6600792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file 2025-08-14T21:16:42.6602958Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0 2025-08-14T21:16:42.6604972Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file 2025-08-14T21:16:42.6607658Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-08-14T21:16:42.6609672Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file 2025-08-14T21:16:42.6612131Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-08-14T21:16:42.6614491Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file 2025-08-14T21:16:42.6616348Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0 2025-08-14T21:16:42.6618102Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file 2025-08-14T21:16:42.6620053Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0 2025-08-14T21:16:42.6622185Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file 2025-08-14T21:16:42.6624513Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-08-14T21:16:42.6626551Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file 2025-08-14T21:16:42.6628647Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-08-14T21:16:42.6630845Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-08-14T21:16:42.6633185Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-08-14T21:16:42.6635249Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-08-14T21:16:42.6637520Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-08-14T21:16:42.6639653Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-08-14T21:16:42.6643655Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-08-14T21:16:42.6645735Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-08-14T21:16:42.6648563Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-08-14T21:16:42.6650744Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-08-14T21:16:42.6654135Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-08-14T21:16:42.6656210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-08-14T21:16:42.6659430Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-08-14T21:16:42.6661940Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-08-14T21:16:42.6664965Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-08-14T21:16:42.6667279Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-08-14T21:16:42.6670325Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-08-14T21:16:42.6672784Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-08-14T21:16:42.6677155Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-08-14T21:16:42.6679526Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-08-14T21:16:42.6682437Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0 2025-08-14T21:16:42.6684585Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-08-14T21:16:42.6687849Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-08-14T21:16:42.6690354Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-08-14T21:16:42.6693748Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0 2025-08-14T21:16:42.6696205Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-08-14T21:16:42.6699890Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0 2025-08-14T21:16:42.6702379Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-08-14T21:16:42.6704757Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0 2025-08-14T21:16:42.6707072Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-08-14T21:16:42.6709709Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0 2025-08-14T21:16:42.6711968Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-08-14T21:16:42.6717717Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0 2025-08-14T21:16:42.6720034Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-08-14T21:16:42.6722483Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-08-14T21:16:42.6724855Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-08-14T21:16:42.6727268Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-08-14T21:16:42.6729634Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-08-14T21:16:42.6732087Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-08-14T21:16:42.6734446Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-08-14T21:16:42.6739249Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-08-14T21:16:42.6741639Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-08-14T21:16:42.6744081Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-08-14T21:16:42.6746792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file 2025-08-14T21:16:42.6749467Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-08-14T21:16:42.6751899Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file 2025-08-14T21:16:42.6754253Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-08-14T21:16:42.6756573Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file 2025-08-14T21:16:42.6758984Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-08-14T21:16:42.6761370Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file 2025-08-14T21:16:42.6763837Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-08-14T21:16:42.6766173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file 2025-08-14T21:16:42.6768761Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-08-14T21:16:42.6771464Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file 2025-08-14T21:16:42.6774215Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-08-14T21:16:42.6777054Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file 2025-08-14T21:16:42.6779510Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-08-14T21:16:42.6781869Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file 2025-08-14T21:16:42.6784337Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-08-14T21:16:42.6786795Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file 2025-08-14T21:16:42.6789310Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-08-14T21:16:42.6791708Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file 2025-08-14T21:16:42.6987549Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-08-14T21:16:42.6990260Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file 2025-08-14T21:16:42.9263344Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-08-14T21:16:42.9429764Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-08-14T21:16:42.9450692Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-08-14T21:16:42.9453500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-08-14T21:16:42.9455915Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0 2025-08-14T21:16:42.9458348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file 2025-08-14T21:16:42.9460924Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-08-14T21:16:42.9463442Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file 2025-08-14T21:16:42.9468191Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-08-14T21:16:42.9470720Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file 2025-08-14T21:16:42.9476670Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-08-14T21:16:42.9479073Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file 2025-08-14T21:16:42.9481655Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-08-14T21:16:42.9484011Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file 2025-08-14T21:16:42.9486433Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-08-14T21:16:42.9488823Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file 2025-08-14T21:16:42.9491302Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-08-14T21:16:42.9493737Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file 2025-08-14T21:16:42.9496230Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-08-14T21:16:42.9498672Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-08-14T21:16:42.9501183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-08-14T21:16:42.9503642Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-08-14T21:16:42.9506215Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-08-14T21:16:42.9508561Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-08-14T21:16:42.9510834Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-08-14T21:16:42.9513076Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-08-14T21:16:42.9515413Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-08-14T21:16:42.9517816Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-08-14T21:16:42.9528826Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-08-14T21:16:42.9531460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-08-14T21:16:42.9600104Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-08-14T21:16:42.9602939Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-08-14T21:16:42.9605404Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-08-14T21:16:42.9607843Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-08-14T21:16:42.9674879Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-08-14T21:16:42.9677800Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2025-08-14T21:16:42.9681599Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-08-14T21:16:42.9683843Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-08-14T21:16:42.9687171Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0 2025-08-14T21:16:42.9689305Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-08-14T21:16:42.9702019Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-08-14T21:16:42.9704388Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2025-08-14T21:16:42.9715102Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-08-14T21:16:42.9717629Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2025-08-14T21:16:42.9885733Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-08-14T21:16:42.9888624Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2025-08-14T21:16:43.2153102Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-08-14T21:16:43.2322204Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-08-14T21:16:43.2324645Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-08-14T21:16:43.2326922Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-08-14T21:16:43.2331180Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0 2025-08-14T21:16:43.2333382Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-08-14T21:16:43.2340360Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0 2025-08-14T21:16:43.2342565Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-08-14T21:16:43.2361553Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-08-14T21:16:43.2363841Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2025-08-14T21:16:43.2369178Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-08-14T21:16:43.2371351Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file 2025-08-14T21:16:43.2405290Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-08-14T21:16:43.2407935Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file 2025-08-14T21:16:43.2412253Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-08-14T21:16:43.2414925Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file 2025-08-14T21:16:43.2427570Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-08-14T21:16:43.2429887Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file 2025-08-14T21:16:43.2435869Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-08-14T21:16:43.2438413Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file 2025-08-14T21:16:43.2442212Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-08-14T21:16:43.2444386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file 2025-08-14T21:16:43.2449890Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-08-14T21:16:43.2452220Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file 2025-08-14T21:16:43.2461660Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-08-14T21:16:43.2464142Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file 2025-08-14T21:16:43.2467901Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-08-14T21:16:43.2470361Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file 2025-08-14T21:16:43.2476789Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-08-14T21:16:43.2479232Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file 2025-08-14T21:16:43.2485623Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-08-14T21:16:43.2488272Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file 2025-08-14T21:16:43.2490720Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-08-14T21:16:43.2493176Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file 2025-08-14T21:16:43.2497669Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-08-14T21:16:43.2500071Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file 2025-08-14T21:16:43.2505186Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-08-14T21:16:43.2507646Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file 2025-08-14T21:16:43.2513959Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-08-14T21:16:43.2516440Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file 2025-08-14T21:16:43.2525685Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-08-14T21:16:43.2528157Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file 2025-08-14T21:16:43.2530748Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-08-14T21:16:43.2533203Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file 2025-08-14T21:16:43.2542409Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-08-14T21:16:43.2544704Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file 2025-08-14T21:16:43.2549665Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0 2025-08-14T21:16:43.2552009Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file 2025-08-14T21:16:43.2554489Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-08-14T21:16:43.2556896Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file 2025-08-14T21:16:43.2559386Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-08-14T21:16:43.2561890Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file 2025-08-14T21:16:43.2564504Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-08-14T21:16:43.2566971Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file 2025-08-14T21:16:43.2569370Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-08-14T21:16:43.2571912Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file 2025-08-14T21:16:43.2574452Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-08-14T21:16:43.2577099Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file 2025-08-14T21:16:43.2579655Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-08-14T21:16:43.2582096Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file 2025-08-14T21:16:43.2584486Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-08-14T21:16:43.2586967Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file 2025-08-14T21:16:43.2589497Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-08-14T21:16:43.2592133Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-08-14T21:16:43.2607980Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-08-14T21:16:43.2611219Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-08-14T21:16:43.2616974Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-08-14T21:16:43.2619766Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-08-14T21:16:43.2624973Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-08-14T21:16:43.2627815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file 2025-08-14T21:16:43.2630598Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-08-14T21:16:43.2632959Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-08-14T21:16:43.2637179Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-08-14T21:16:43.2639550Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file 2025-08-14T21:16:43.2659829Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-08-14T21:16:43.2662205Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file 2025-08-14T21:16:43.8249130Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-08-14T21:16:43.8568962Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file 2025-08-14T21:16:43.8578331Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-08-14T21:16:43.8580733Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file 2025-08-14T21:16:43.8584728Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-08-14T21:16:43.8587191Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file 2025-08-14T21:16:43.8606794Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-08-14T21:16:43.8609216Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file 2025-08-14T21:16:43.8613679Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-08-14T21:16:43.8616097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file 2025-08-14T21:16:43.8619814Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-08-14T21:16:43.8622477Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file 2025-08-14T21:16:43.8625029Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-08-14T21:16:43.8627512Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file 2025-08-14T21:16:43.8630051Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-08-14T21:16:43.8632493Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file 2025-08-14T21:16:43.8636339Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-08-14T21:16:43.8638804Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file 2025-08-14T21:16:44.3305525Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-08-14T21:16:44.3625116Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file 2025-08-14T21:16:44.3634035Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-08-14T21:16:44.3636327Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file 2025-08-14T21:16:44.3640200Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-08-14T21:16:44.3642479Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file 2025-08-14T21:16:44.3662167Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-08-14T21:16:44.3664561Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-08-14T21:16:44.3667811Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-08-14T21:16:44.3670646Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-08-14T21:16:44.3673924Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-08-14T21:16:44.3676428Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-08-14T21:16:44.3680618Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-08-14T21:16:44.3682848Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-08-14T21:16:44.3722973Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-08-14T21:16:44.3725252Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-08-14T21:16:44.5582293Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-08-14T21:16:44.5640916Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-08-14T21:16:44.5652429Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-08-14T21:16:44.5654692Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-08-14T21:16:44.6326523Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-08-14T21:16:44.6328921Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-08-14T21:16:44.6346163Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-08-14T21:16:44.6348455Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-08-14T21:16:44.6381943Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-08-14T21:16:44.6384245Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-08-14T21:16:44.7937987Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-08-14T21:16:44.7998120Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-08-14T21:16:44.8039834Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-08-14T21:16:44.8042328Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-08-14T21:16:44.8639735Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-08-14T21:16:44.8642126Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file 2025-08-14T21:16:44.8647576Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-08-14T21:16:44.8650143Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file 2025-08-14T21:16:44.8693662Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-08-14T21:16:44.8696564Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file 2025-08-14T21:16:45.0561183Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-08-14T21:16:45.0621609Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file 2025-08-14T21:16:45.0635658Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-08-14T21:16:45.0638221Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file 2025-08-14T21:16:45.0643991Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-08-14T21:16:45.0646509Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file 2025-08-14T21:16:45.0720042Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-08-14T21:16:45.0722576Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file 2025-08-14T21:16:45.0725145Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-08-14T21:16:45.0727666Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file 2025-08-14T21:16:45.0732698Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-08-14T21:16:45.0735190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file 2025-08-14T21:16:45.0749651Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-08-14T21:16:45.0751954Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file 2025-08-14T21:16:45.0761601Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-08-14T21:16:45.0763722Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file 2025-08-14T21:16:45.1110969Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-08-14T21:16:45.1113095Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file 2025-08-14T21:16:45.1129501Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-08-14T21:16:45.1131654Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file 2025-08-14T21:16:45.1141615Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-08-14T21:16:45.1144100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file 2025-08-14T21:16:45.1152366Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-08-14T21:16:45.1154533Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file 2025-08-14T21:16:45.1166839Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-08-14T21:16:45.1169129Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-08-14T21:16:45.1180633Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-08-14T21:16:45.1183138Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-08-14T21:16:45.1186036Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-08-14T21:16:45.1188709Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file 2025-08-14T21:16:45.1193306Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-08-14T21:16:45.1196011Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2025-08-14T21:16:45.8490496Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-08-14T21:16:45.8506023Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file 2025-08-14T21:16:45.9498596Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-08-14T21:16:45.9503148Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file 2025-08-14T21:16:46.1613109Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-08-14T21:16:46.1620619Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file 2025-08-14T21:16:46.1889028Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-08-14T21:16:46.1892067Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file 2025-08-14T21:16:46.2378840Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-08-14T21:16:46.2381541Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-08-14T21:16:46.2403686Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-08-14T21:16:46.2406210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-08-14T21:16:46.2416973Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-08-14T21:16:46.2420022Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-08-14T21:16:46.2425436Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-08-14T21:16:46.2428090Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file 2025-08-14T21:16:46.2430686Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-08-14T21:16:46.2433356Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file 2025-08-14T21:16:46.2436171Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-08-14T21:16:46.2439056Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file 2025-08-14T21:16:46.2442066Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-08-14T21:16:46.2445259Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file 2025-08-14T21:16:46.2448582Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-08-14T21:16:46.2451751Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file 2025-08-14T21:16:46.2454968Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-08-14T21:16:46.2458167Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file 2025-08-14T21:16:46.2461500Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-08-14T21:16:46.2464385Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-08-14T21:16:46.2467132Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-08-14T21:16:46.2469537Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-08-14T21:16:46.2471735Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0 2025-08-14T21:16:46.2474064Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2025-08-14T21:16:46.2476766Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-08-14T21:16:46.2479256Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2025-08-14T21:16:46.2481850Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-08-14T21:16:46.2484549Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2025-08-14T21:16:46.2487166Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-08-14T21:16:46.2489523Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file 2025-08-14T21:16:46.2491768Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0 2025-08-14T21:16:46.2494072Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file 2025-08-14T21:16:46.2496505Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-08-14T21:16:46.2498868Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file 2025-08-14T21:16:46.2501229Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-08-14T21:16:46.2503547Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file 2025-08-14T21:16:46.2506142Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-08-14T21:16:46.2508459Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file 2025-08-14T21:16:46.2510683Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0 2025-08-14T21:16:46.2512815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file 2025-08-14T21:16:46.2515061Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-08-14T21:16:46.2517255Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-08-14T21:16:46.2519504Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-08-14T21:16:46.2521745Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-08-14T21:16:46.2524045Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-08-14T21:16:46.2526267Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-08-14T21:16:46.2528559Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-08-14T21:16:46.2530808Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-08-14T21:16:46.2545440Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-08-14T21:16:46.2547870Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-08-14T21:16:46.2553028Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-08-14T21:16:46.2555571Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file 2025-08-14T21:16:46.2560284Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-08-14T21:16:46.2562801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file 2025-08-14T21:16:46.2565283Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-08-14T21:16:46.2567635Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-08-14T21:16:46.2570979Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-08-14T21:16:46.2573393Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-08-14T21:16:46.2576611Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-08-14T21:16:46.2579175Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-08-14T21:16:46.2582002Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-08-14T21:16:46.2585015Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-08-14T21:16:46.2588456Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-08-14T21:16:46.2591222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file 2025-08-14T21:16:46.2593544Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-08-14T21:16:46.2595901Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file 2025-08-14T21:16:46.2598412Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-08-14T21:16:46.2600736Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file 2025-08-14T21:16:46.2603003Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-08-14T21:16:46.2605280Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file 2025-08-14T21:16:46.2607643Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-08-14T21:16:46.2609949Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file 2025-08-14T21:16:46.2612295Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-08-14T21:16:46.2614549Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file 2025-08-14T21:16:46.2616849Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-08-14T21:16:46.2619296Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file 2025-08-14T21:16:46.2621727Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-08-14T21:16:46.2624070Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file 2025-08-14T21:16:46.2626540Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-08-14T21:16:46.2628974Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file 2025-08-14T21:16:46.2631538Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-08-14T21:16:46.2634018Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file 2025-08-14T21:16:46.2636510Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-08-14T21:16:46.2639183Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1803 <- wrt source file 2025-08-14T21:16:46.2642188Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-08-14T21:16:46.2644998Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1819 <- wrt source file 2025-08-14T21:16:46.2647881Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-08-14T21:16:46.2650361Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file 2025-08-14T21:16:46.2652588Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-08-14T21:16:46.2654837Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-08-14T21:16:46.2657181Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-08-14T21:16:46.2659795Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file 2025-08-14T21:16:46.2662761Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-08-14T21:16:46.2665331Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file 2025-08-14T21:16:46.2667685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::profile:0 2025-08-14T21:16:46.2670134Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file 2025-08-14T21:16:46.2672871Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-08-14T21:16:46.2675344Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-08-14T21:16:46.2677859Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_creation.py::make_tensor:0 2025-08-14T21:16:46.2681252Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 615 <- wrt source file 2025-08-14T21:16:46.2683929Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2025-08-14T21:16:46.2686542Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 736 <- wrt source file 2025-08-14T21:16:46.2689216Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0 2025-08-14T21:16:46.2691793Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 825 <- wrt source file 2025-08-14T21:16:46.2694394Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2025-08-14T21:16:46.2697108Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4734 <- wrt source file 2025-08-14T21:16:46.2700032Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0 2025-08-14T21:16:46.2702960Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4748 <- wrt source file 2025-08-14T21:16:46.2705996Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0 2025-08-14T21:16:46.2708832Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4778 <- wrt source file 2025-08-14T21:16:46.2711745Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0 2025-08-14T21:16:46.2714456Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file 2025-08-14T21:16:46.2717129Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2025-08-14T21:16:46.2719824Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file 2025-08-14T21:16:46.2722658Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0 2025-08-14T21:16:46.2725660Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 331 <- wrt source file 2025-08-14T21:16:46.2728900Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-08-14T21:16:46.2732127Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-08-14T21:16:46.2735429Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-08-14T21:16:46.2738125Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file 2025-08-14T21:16:46.2740570Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-08-14T21:16:46.2742856Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file 2025-08-14T21:16:46.2745184Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-08-14T21:16:46.2747545Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file 2025-08-14T21:16:46.2749931Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-08-14T21:16:46.2752199Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file 2025-08-14T21:16:46.2754489Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-08-14T21:16:46.2756719Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file 2025-08-14T21:16:46.2759030Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-08-14T21:16:46.2761370Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file 2025-08-14T21:16:46.2763791Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-08-14T21:16:46.2766032Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file 2025-08-14T21:16:46.2768285Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-08-14T21:16:46.2770580Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file 2025-08-14T21:16:46.2773019Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-08-14T21:16:46.2775392Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file 2025-08-14T21:16:46.2777930Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-08-14T21:16:46.2780275Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file 2025-08-14T21:16:46.2782650Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0 2025-08-14T21:16:46.2784900Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file 2025-08-14T21:16:46.2787215Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-08-14T21:16:46.2789401Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file 2025-08-14T21:16:46.2791605Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0 2025-08-14T21:16:46.2794097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2025-08-14T21:16:46.2796935Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-08-14T21:16:46.2800037Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file 2025-08-14T21:16:46.2803180Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2025-08-14T21:16:46.2806016Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file 2025-08-14T21:16:46.2808734Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2025-08-14T21:16:46.2811336Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file 2025-08-14T21:16:46.2813929Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2025-08-14T21:16:46.2816475Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file 2025-08-14T21:16:46.2819106Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-08-14T21:16:46.2821575Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file 2025-08-14T21:16:46.2823816Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0 2025-08-14T21:16:46.2826350Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file 2025-08-14T21:16:46.3324222Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-08-14T21:16:46.3326827Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-08-14T21:16:46.3329327Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-08-14T21:16:46.3331711Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file 2025-08-14T21:16:46.3334104Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-08-14T21:16:46.3336433Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file 2025-08-14T21:16:46.3338818Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0 2025-08-14T21:16:46.3341083Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file 2025-08-14T21:16:46.3343370Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-08-14T21:16:46.3345792Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-08-14T21:16:46.3348342Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-08-14T21:16:46.3350805Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-08-14T21:16:46.3353439Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-08-14T21:16:46.3355868Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2025-08-14T21:16:46.3358466Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-08-14T21:16:46.3361072Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file 2025-08-14T21:16:46.3363769Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-08-14T21:16:46.3366533Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-08-14T21:16:46.3369513Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-08-14T21:16:46.3372462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file 2025-08-14T21:16:46.3375584Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-08-14T21:16:46.3378823Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-08-14T21:16:46.3381988Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-08-14T21:16:46.3385016Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-08-14T21:16:46.3388146Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-08-14T21:16:46.3391095Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file 2025-08-14T21:16:46.3394097Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-08-14T21:16:46.3396953Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 304 <- wrt source file 2025-08-14T21:16:46.3399844Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-08-14T21:16:46.3402769Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file 2025-08-14T21:16:46.3405863Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-08-14T21:16:46.3408799Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file 2025-08-14T21:16:46.3411775Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-08-14T21:16:46.3414708Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file 2025-08-14T21:16:46.3417853Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-08-14T21:16:46.3420788Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-08-14T21:16:46.3423782Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-08-14T21:16:46.3426914Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file 2025-08-14T21:16:46.3430137Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-08-14T21:16:46.3433246Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-08-14T21:16:46.3436354Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-08-14T21:16:46.3439375Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2025-08-14T21:16:46.3442373Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-08-14T21:16:46.3445367Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-08-14T21:16:46.3448468Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-08-14T21:16:46.3451456Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-08-14T21:16:46.3454455Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-08-14T21:16:46.3457373Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file 2025-08-14T21:16:46.3460324Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-08-14T21:16:46.3463213Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-08-14T21:16:46.3466184Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-08-14T21:16:46.3469141Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-08-14T21:16:46.3472222Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-08-14T21:16:46.3475131Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-08-14T21:16:46.3478182Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-08-14T21:16:46.3481103Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-08-14T21:16:46.3483943Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-08-14T21:16:46.3486625Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-08-14T21:16:46.3490452Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-08-14T21:16:46.3493125Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-08-14T21:16:46.3495880Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-08-14T21:16:46.3498607Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2025-08-14T21:16:46.3501382Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-08-14T21:16:46.3504210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2025-08-14T21:16:46.3507182Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-08-14T21:16:46.3509971Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2025-08-14T21:16:46.3512800Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-08-14T21:16:46.3515579Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2025-08-14T21:16:46.3518415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-08-14T21:16:46.3521193Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2025-08-14T21:16:46.3524022Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-08-14T21:16:46.3526836Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2025-08-14T21:16:46.3529733Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-08-14T21:16:46.3532622Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2025-08-14T21:16:46.3535581Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-08-14T21:16:46.3538427Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2025-08-14T21:16:46.3541234Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-08-14T21:16:46.3544092Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file 2025-08-14T21:16:46.3546973Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-08-14T21:16:46.3549717Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file 2025-08-14T21:16:46.3552513Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-08-14T21:16:46.3555308Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file 2025-08-14T21:16:46.3558205Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-08-14T21:16:46.3561007Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2025-08-14T21:16:46.3563855Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-08-14T21:16:46.3566960Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2025-08-14T21:16:46.3570292Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-08-14T21:16:46.3573499Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2025-08-14T21:16:46.3576871Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-08-14T21:16:46.3579911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2025-08-14T21:16:46.3582910Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-08-14T21:16:46.3585809Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2025-08-14T21:16:46.3588605Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-08-14T21:16:46.3590021Z ============ 2025-08-14T21:16:46.3590522Z Finished doctests 2025-08-14T21:16:46.3590947Z 338 / 732 passed 2025-08-14T21:16:46.3591375Z  2025-08-14T21:16:46.3591930Z === Found 146 parse-time warnings === 2025-08-14T21:16:46.3592713Z --- Parse Warning: 1 / 146 --- 2025-08-14T21:16:46.3594756Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1493. 2025-08-14T21:16:46.3597106Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3597979Z 2025-08-14T21:16:46.3598410Z dim_order(ambiguity_check=False) -> tuple 2025-08-14T21:16:46.3598983Z 2025-08-14T21:16:46.3599631Z Returns the uniquely determined tuple of int describing the dim order or 2025-08-14T21:16:46.3600496Z physical layout of :attr:`self`. 2025-08-14T21:16:46.3601023Z 2025-08-14T21:16:46.3601888Z The dim order represents how dimensions are laid out in memory of dense tensors, 2025-08-14T21:16:46.3602908Z starting from the outermost to the innermost dimension. 2025-08-14T21:16:46.3603578Z 2025-08-14T21:16:46.3604132Z Note that the dim order may not always be uniquely determined. 2025-08-14T21:16:46.3605432Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2025-08-14T21:16:46.3607153Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2025-08-14T21:16:46.3608592Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2025-08-14T21:16:46.3609903Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2025-08-14T21:16:46.3610951Z Otherwise, it will raise TypeError. 2025-08-14T21:16:46.3611500Z 2025-08-14T21:16:46.3611860Z Args: 2025-08-14T21:16:46.3612694Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2025-08-14T21:16:46.3613686Z 2025-08-14T21:16:46.3614048Z Examples:: 2025-08-14T21:16:46.3614440Z 2025-08-14T21:16:46.3614845Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2025-08-14T21:16:46.3615410Z (0, 1, 2, 3) 2025-08-14T21:16:46.3616025Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2025-08-14T21:16:46.3616744Z (0, 2, 1, 3) 2025-08-14T21:16:46.3617373Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2025-08-14T21:16:46.3618136Z (0, 2, 3, 1) 2025-08-14T21:16:46.3618599Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2025-08-14T21:16:46.3619161Z (0, 1, 2, 3) 2025-08-14T21:16:46.3619576Z >>> try: 2025-08-14T21:16:46.3620132Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2025-08-14T21:16:46.3620861Z ... except RuntimeError as e: 2025-08-14T21:16:46.3621427Z ... print(e) 2025-08-14T21:16:46.3622296Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2025-08-14T21:16:46.3623308Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2025-08-14T21:16:46.3624094Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2025-08-14T21:16:46.3624947Z ... ) # It can be mapped to contiguous format 2025-08-14T21:16:46.3625547Z (0, 1, 2, 3) 2025-08-14T21:16:46.3626020Z >>> try: 2025-08-14T21:16:46.3626602Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2025-08-14T21:16:46.3627353Z ... except TypeError as e: 2025-08-14T21:16:46.3627869Z ... print(e) 2025-08-14T21:16:46.3628582Z The ambiguity_check argument must be a bool or a list of memory formats. 2025-08-14T21:16:46.3629392Z 2025-08-14T21:16:46.3629760Z .. warning:: 2025-08-14T21:16:46.3630359Z The dim_order tensor API is experimental and subject to change. 2025-08-14T21:16:46.3631098Z 2025-08-14T21:16:46.3631776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3632616Z 2025-08-14T21:16:46.3632996Z warnings.warn(msg) 2025-08-14T21:16:46.3633454Z 2025-08-14T21:16:46.3634056Z --- Parse Warning: 2 / 146 --- 2025-08-14T21:16:46.3636093Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=446. 2025-08-14T21:16:46.3638408Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3639580Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2025-08-14T21:16:46.3640391Z 2025-08-14T21:16:46.3640922Z This is helpful when you want to visualize data over some 2025-08-14T21:16:46.3641857Z range of inputs. See below for a plotting example. 2025-08-14T21:16:46.3642509Z 2025-08-14T21:16:46.3643012Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2025-08-14T21:16:46.3643878Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2025-08-14T21:16:46.3644802Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2025-08-14T21:16:46.3645649Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2025-08-14T21:16:46.3646508Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2025-08-14T21:16:46.3647270Z to the result shape. 2025-08-14T21:16:46.3647756Z 2025-08-14T21:16:46.3685614Z .. note:: 2025-08-14T21:16:46.3686425Z 0D inputs are treated equivalently to 1D inputs of a 2025-08-14T21:16:46.3687134Z single element. 2025-08-14T21:16:46.3687623Z 2025-08-14T21:16:46.3688019Z .. warning:: 2025-08-14T21:16:46.3688674Z `torch.meshgrid(*tensors)` currently has the same behavior 2025-08-14T21:16:46.3689526Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2025-08-14T21:16:46.3690196Z 2025-08-14T21:16:46.3690680Z In the future `torch.meshgrid` will transition to 2025-08-14T21:16:46.3691370Z `indexing='xy'` as the default. 2025-08-14T21:16:46.3692112Z 2025-08-14T21:16:46.3692657Z https://github.com/pytorch/pytorch/issues/50276 tracks 2025-08-14T21:16:46.3693590Z this issue with the goal of migrating to NumPy's behavior. 2025-08-14T21:16:46.3694305Z 2025-08-14T21:16:46.3694677Z .. seealso:: 2025-08-14T21:16:46.3695114Z 2025-08-14T21:16:46.3695635Z :func:`torch.cartesian_prod` has the same effect but it 2025-08-14T21:16:46.3696407Z collects the data in a tensor of vectors. 2025-08-14T21:16:46.3697006Z 2025-08-14T21:16:46.3697349Z Args: 2025-08-14T21:16:46.3698093Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2025-08-14T21:16:46.3699111Z treated as tensors of size :math:`(1,)` automatically 2025-08-14T21:16:46.3699774Z 2025-08-14T21:16:46.3700309Z indexing: (str, optional): the indexing mode, either "xy" 2025-08-14T21:16:46.3701164Z or "ij", defaults to "ij". See warning for future changes. 2025-08-14T21:16:46.3701838Z 2025-08-14T21:16:46.3702319Z If "xy" is selected, the first dimension corresponds 2025-08-14T21:16:46.3703114Z to the cardinality of the second input and the second 2025-08-14T21:16:46.3703949Z dimension corresponds to the cardinality of the first 2025-08-14T21:16:46.3704646Z input. 2025-08-14T21:16:46.3705095Z 2025-08-14T21:16:46.3705569Z If "ij" is selected, the dimensions are in the same 2025-08-14T21:16:46.3706426Z order as the cardinality of the inputs. 2025-08-14T21:16:46.3707035Z 2025-08-14T21:16:46.3707399Z Returns: 2025-08-14T21:16:46.3707952Z seq (sequence of Tensors): If the input has :math:`N` 2025-08-14T21:16:46.3708749Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2025-08-14T21:16:46.3709593Z output will also have :math:`N` tensors, where each tensor 2025-08-14T21:16:46.3710378Z is of shape :math:`(S_0, ..., S_{N-1})`. 2025-08-14T21:16:46.3710948Z 2025-08-14T21:16:46.3711322Z Example:: 2025-08-14T21:16:46.3711750Z 2025-08-14T21:16:46.3712140Z >>> x = torch.tensor([1, 2, 3]) 2025-08-14T21:16:46.3712755Z >>> y = torch.tensor([4, 5, 6]) 2025-08-14T21:16:46.3713317Z 2025-08-14T21:16:46.3713856Z Observe the element-wise pairings across the grid, (1, 4), 2025-08-14T21:16:46.3714665Z (1, 5), ..., (3, 6). This is the same thing as the 2025-08-14T21:16:46.3715455Z cartesian product. 2025-08-14T21:16:46.3716103Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2025-08-14T21:16:46.3716788Z >>> grid_x 2025-08-14T21:16:46.3717266Z tensor([[1, 1, 1], 2025-08-14T21:16:46.3717773Z [2, 2, 2], 2025-08-14T21:16:46.3718289Z [3, 3, 3]]) 2025-08-14T21:16:46.3718809Z >>> grid_y 2025-08-14T21:16:46.3719292Z tensor([[4, 5, 6], 2025-08-14T21:16:46.3719793Z [4, 5, 6], 2025-08-14T21:16:46.3720300Z [4, 5, 6]]) 2025-08-14T21:16:46.3720807Z 2025-08-14T21:16:46.3721299Z This correspondence can be seen when these grids are 2025-08-14T21:16:46.3722016Z stacked properly. 2025-08-14T21:16:46.3722740Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2025-08-14T21:16:46.3723561Z ... torch.cartesian_prod(x, y)) 2025-08-14T21:16:46.3724166Z True 2025-08-14T21:16:46.3724590Z 2025-08-14T21:16:46.3725102Z `torch.meshgrid` is commonly used to produce a grid for 2025-08-14T21:16:46.3725812Z plotting. 2025-08-14T21:16:46.3726347Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2025-08-14T21:16:46.3727098Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2025-08-14T21:16:46.3727815Z >>> import matplotlib.pyplot as plt 2025-08-14T21:16:46.3728486Z >>> xs = torch.linspace(-5, 5, steps=100) 2025-08-14T21:16:46.3729149Z >>> ys = torch.linspace(-5, 5, steps=100) 2025-08-14T21:16:46.3729818Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2025-08-14T21:16:46.3730514Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2025-08-14T21:16:46.3731176Z >>> ax = plt.axes(projection='3d') 2025-08-14T21:16:46.3731878Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2025-08-14T21:16:46.3732558Z >>> plt.show() 2025-08-14T21:16:46.3733039Z 2025-08-14T21:16:46.3733467Z .. image:: ../_static/img/meshgrid.png 2025-08-14T21:16:46.3734057Z :width: 512 2025-08-14T21:16:46.3734517Z 2025-08-14T21:16:46.3734884Z 2025-08-14T21:16:46.3735566Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3736420Z 2025-08-14T21:16:46.3736799Z warnings.warn(msg) 2025-08-14T21:16:46.3737241Z 2025-08-14T21:16:46.3737919Z --- Parse Warning: 3 / 146 --- 2025-08-14T21:16:46.3739976Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=842. 2025-08-14T21:16:46.3742314Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3743749Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor] 2025-08-14T21:16:46.3744847Z 2025-08-14T21:16:46.3745324Z Returns the unique elements of the input tensor. 2025-08-14T21:16:46.3746025Z 2025-08-14T21:16:46.3746775Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2025-08-14T21:16:46.3747953Z this function also eliminates non-consecutive duplicate values. 2025-08-14T21:16:46.3748727Z 2025-08-14T21:16:46.3749337Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2025-08-14T21:16:46.3750527Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2025-08-14T21:16:46.3751820Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2025-08-14T21:16:46.3752981Z :func:`torch.unique_consecutive` which avoids the sorting. 2025-08-14T21:16:46.3753690Z 2025-08-14T21:16:46.3754059Z Args: 2025-08-14T21:16:46.3754492Z input (Tensor): the input tensor 2025-08-14T21:16:46.3755312Z sorted (bool): Whether to sort the unique elements in ascending order 2025-08-14T21:16:46.3756149Z before returning as output. 2025-08-14T21:16:46.3756958Z return_inverse (bool): Whether to also return the indices for where 2025-08-14T21:16:46.3757987Z elements in the original input ended up in the returned unique list. 2025-08-14T21:16:46.3759033Z return_counts (bool): Whether to also return the counts for each unique 2025-08-14T21:16:46.3759841Z element. 2025-08-14T21:16:46.3760499Z dim (int, optional): the dimension to operate upon. If ``None``, the 2025-08-14T21:16:46.3761489Z unique of the flattened input is returned. Otherwise, each of the 2025-08-14T21:16:46.3762479Z tensors indexed by the given dimension is treated as one of the 2025-08-14T21:16:46.3763476Z elements to apply the unique operation upon. See examples for more 2025-08-14T21:16:46.3764282Z details. Default: ``None`` 2025-08-14T21:16:46.3764828Z 2025-08-14T21:16:46.3765184Z Returns: 2025-08-14T21:16:46.3765993Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2025-08-14T21:16:46.3766949Z 2025-08-14T21:16:46.3767506Z - **output** (*Tensor*): the output list of unique scalar elements. 2025-08-14T21:16:46.3768332Z - **inverse_indices** (*Tensor*): (optional) if 2025-08-14T21:16:46.3769137Z :attr:`return_inverse` is True, there will be an additional 2025-08-14T21:16:46.3770074Z returned tensor (same shape as input) representing the indices 2025-08-14T21:16:46.3771038Z for where elements in the original input map to in the output; 2025-08-14T21:16:46.3771962Z otherwise, this function will only return a single tensor. 2025-08-14T21:16:46.3772758Z - **counts** (*Tensor*): (optional) if 2025-08-14T21:16:46.3773514Z :attr:`return_counts` is True, there will be an additional 2025-08-14T21:16:46.3774398Z returned tensor (same shape as output or output.size(dim), 2025-08-14T21:16:46.3775323Z if dim was specified) representing the number of occurrences 2025-08-14T21:16:46.3776280Z for each unique value or tensor. 2025-08-14T21:16:46.3776869Z 2025-08-14T21:16:46.3777239Z Example:: 2025-08-14T21:16:46.3777657Z 2025-08-14T21:16:46.3778248Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2025-08-14T21:16:46.3779019Z >>> output 2025-08-14T21:16:46.3779466Z tensor([1, 2, 3]) 2025-08-14T21:16:46.3779938Z 2025-08-14T21:16:46.3780359Z >>> output, inverse_indices = torch.unique( 2025-08-14T21:16:46.3781252Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-14T21:16:46.3782082Z >>> output 2025-08-14T21:16:46.3782511Z tensor([1, 2, 3]) 2025-08-14T21:16:46.3783017Z >>> inverse_indices 2025-08-14T21:16:46.3783535Z tensor([0, 2, 1, 2]) 2025-08-14T21:16:46.3784011Z 2025-08-14T21:16:46.3784443Z >>> output, inverse_indices = torch.unique( 2025-08-14T21:16:46.3785329Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2025-08-14T21:16:46.3786213Z >>> output 2025-08-14T21:16:46.3786646Z tensor([1, 2, 3]) 2025-08-14T21:16:46.3787151Z >>> inverse_indices 2025-08-14T21:16:46.3787654Z tensor([[0, 2], 2025-08-14T21:16:46.3788118Z [1, 2]]) 2025-08-14T21:16:46.3788571Z 2025-08-14T21:16:46.3788941Z >>> a = torch.tensor([ 2025-08-14T21:16:46.3789594Z ... [ 2025-08-14T21:16:46.3790029Z ... [1, 1, 0, 0], 2025-08-14T21:16:46.3790553Z ... [1, 1, 0, 0], 2025-08-14T21:16:46.3791063Z ... [0, 0, 1, 1], 2025-08-14T21:16:46.3791565Z ... ], 2025-08-14T21:16:46.3791998Z ... [ 2025-08-14T21:16:46.3792421Z ... [0, 0, 1, 1], 2025-08-14T21:16:46.3792936Z ... [0, 0, 1, 1], 2025-08-14T21:16:46.3793467Z ... [1, 1, 1, 1], 2025-08-14T21:16:46.3793976Z ... ], 2025-08-14T21:16:46.3794390Z ... [ 2025-08-14T21:16:46.3794820Z ... [1, 1, 0, 0], 2025-08-14T21:16:46.3795345Z ... [1, 1, 0, 0], 2025-08-14T21:16:46.3795852Z ... [0, 0, 1, 1], 2025-08-14T21:16:46.3796369Z ... ], 2025-08-14T21:16:46.3796793Z ... ]) 2025-08-14T21:16:46.3797174Z 2025-08-14T21:16:46.3797770Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2025-08-14T21:16:46.3798768Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2025-08-14T21:16:46.3799594Z >>> # each other, so one of them will be removed. 2025-08-14T21:16:46.3800254Z >>> (a[0, :, :] == a[2, :, :]).all() 2025-08-14T21:16:46.3800891Z tensor(True) 2025-08-14T21:16:46.3801416Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2025-08-14T21:16:46.3802078Z >>> a_unique_dim0 2025-08-14T21:16:46.3802577Z tensor([[[0, 0, 1, 1], 2025-08-14T21:16:46.3803089Z [0, 0, 1, 1], 2025-08-14T21:16:46.3803589Z [1, 1, 1, 1]], 2025-08-14T21:16:46.3804110Z [[1, 1, 0, 0], 2025-08-14T21:16:46.3804616Z [1, 1, 0, 0], 2025-08-14T21:16:46.3805104Z [0, 0, 1, 1]]]) 2025-08-14T21:16:46.3805604Z 2025-08-14T21:16:46.3806204Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2025-08-14T21:16:46.3806992Z >>> # `a_unique_dim0`: 2025-08-14T21:16:46.3807561Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2025-08-14T21:16:46.3808165Z tensor(True) 2025-08-14T21:16:46.3808678Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2025-08-14T21:16:46.3809274Z tensor(True) 2025-08-14T21:16:46.3809735Z 2025-08-14T21:16:46.3810303Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2025-08-14T21:16:46.3811224Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2025-08-14T21:16:46.3811969Z >>> # them will be removed. 2025-08-14T21:16:46.3812534Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2025-08-14T21:16:46.3813098Z tensor(True) 2025-08-14T21:16:46.3813563Z >>> torch.unique(a, dim=1) 2025-08-14T21:16:46.3814112Z tensor([[[0, 0, 1, 1], 2025-08-14T21:16:46.3814623Z [1, 1, 0, 0]], 2025-08-14T21:16:46.3815116Z [[1, 1, 1, 1], 2025-08-14T21:16:46.3815621Z [0, 0, 1, 1]], 2025-08-14T21:16:46.3816114Z [[0, 0, 1, 1], 2025-08-14T21:16:46.3816593Z [1, 1, 0, 0]]]) 2025-08-14T21:16:46.3817097Z 2025-08-14T21:16:46.3817680Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2025-08-14T21:16:46.3818564Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2025-08-14T21:16:46.3819383Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2025-08-14T21:16:46.3820123Z >>> # sub-tensors will be removed. 2025-08-14T21:16:46.3820720Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2025-08-14T21:16:46.3821270Z tensor(True) 2025-08-14T21:16:46.3821733Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2025-08-14T21:16:46.3822412Z tensor(True) 2025-08-14T21:16:46.3822875Z >>> torch.unique(a, dim=2) 2025-08-14T21:16:46.3823431Z tensor([[[0, 1], 2025-08-14T21:16:46.3823903Z [0, 1], 2025-08-14T21:16:46.3824356Z [1, 0]], 2025-08-14T21:16:46.3824831Z [[1, 0], 2025-08-14T21:16:46.3825305Z [1, 0], 2025-08-14T21:16:46.3825852Z [1, 1]], 2025-08-14T21:16:46.3826334Z [[0, 1], 2025-08-14T21:16:46.3826798Z [0, 1], 2025-08-14T21:16:46.3827266Z [1, 0]]]) 2025-08-14T21:16:46.3827718Z 2025-08-14T21:16:46.3828396Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3829249Z 2025-08-14T21:16:46.3829612Z warnings.warn(msg) 2025-08-14T21:16:46.3830063Z 2025-08-14T21:16:46.3830705Z --- Parse Warning: 4 / 146 --- 2025-08-14T21:16:46.3832630Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=565. 2025-08-14T21:16:46.3834834Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3835699Z 2025-08-14T21:16:46.3836261Z Load a model from a github repo or a local directory. 2025-08-14T21:16:46.3836899Z 2025-08-14T21:16:46.3837569Z Note: Loading a model is the typical use case, but this can also be used to 2025-08-14T21:16:46.3838608Z for loading other objects such as tokenizers, loss functions, etc. 2025-08-14T21:16:46.3839364Z 2025-08-14T21:16:46.3839864Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2025-08-14T21:16:46.3840683Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2025-08-14T21:16:46.3841377Z ref (a tag or a branch). 2025-08-14T21:16:46.3841862Z 2025-08-14T21:16:46.3842373Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2025-08-14T21:16:46.3843078Z path to a local directory. 2025-08-14T21:16:46.3843573Z 2025-08-14T21:16:46.3843920Z Args: 2025-08-14T21:16:46.3844369Z repo_or_dir (str): If ``source`` is 'github', 2025-08-14T21:16:46.3845344Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2025-08-14T21:16:46.3846659Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2025-08-14T21:16:46.3847928Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2025-08-14T21:16:46.3849005Z If ``source`` is 'local' then it should be a path to a local directory. 2025-08-14T21:16:46.3849952Z model (str): the name of a callable (entrypoint) defined in the 2025-08-14T21:16:46.3850730Z repo/dir's ``hubconf.py``. 2025-08-14T21:16:46.3851483Z *args (optional): the corresponding args for callable ``model``. 2025-08-14T21:16:46.3852386Z source (str, optional): 'github' or 'local'. Specifies how 2025-08-14T21:16:46.3853234Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2025-08-14T21:16:46.3854161Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2025-08-14T21:16:46.3855201Z This parameter was introduced in v1.12 and helps ensuring that users 2025-08-14T21:16:46.3856079Z only run code from repos that they trust. 2025-08-14T21:16:46.3856676Z 2025-08-14T21:16:46.3857222Z - If ``False``, a prompt will ask the user whether the repo should 2025-08-14T21:16:46.3857956Z be trusted. 2025-08-14T21:16:46.3858596Z - If ``True``, the repo will be added to the trusted list and loaded 2025-08-14T21:16:46.3859410Z without requiring explicit confirmation. 2025-08-14T21:16:46.3860163Z - If ``"check"``, the repo will be checked against the list of 2025-08-14T21:16:46.3861173Z trusted repos in the cache. If it is not present in that list, the 2025-08-14T21:16:46.3862158Z behaviour will fall back onto the ``trust_repo=False`` option. 2025-08-14T21:16:46.3863073Z - If ``None``: this will raise a warning, inviting the user to set 2025-08-14T21:16:46.3863970Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2025-08-14T21:16:46.3864927Z is only present for backward compatibility and will be removed in 2025-08-14T21:16:46.3865779Z v2.0. 2025-08-14T21:16:46.3866168Z 2025-08-14T21:16:46.3866739Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2025-08-14T21:16:46.3867739Z force_reload (bool, optional): whether to force a fresh download of 2025-08-14T21:16:46.3868694Z the github repo unconditionally. Does not have any effect if 2025-08-14T21:16:46.3869497Z ``source = 'local'``. Default is ``False``. 2025-08-14T21:16:46.3870316Z verbose (bool, optional): If ``False``, mute messages about hitting 2025-08-14T21:16:46.3871311Z local caches. Note that the message about first download cannot be 2025-08-14T21:16:46.3872222Z muted. Does not have any effect if ``source = 'local'``. 2025-08-14T21:16:46.3872929Z Default is ``True``. 2025-08-14T21:16:46.3873875Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2025-08-14T21:16:46.3875213Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2025-08-14T21:16:46.3876668Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2025-08-14T21:16:46.3877726Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2025-08-14T21:16:46.3878684Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-14T21:16:46.3879454Z 2025-08-14T21:16:46.3879814Z Returns: 2025-08-14T21:16:46.3880401Z The output of the ``model`` callable when called with the given 2025-08-14T21:16:46.3881135Z ``*args`` and ``**kwargs``. 2025-08-14T21:16:46.3881647Z 2025-08-14T21:16:46.3882008Z Example: 2025-08-14T21:16:46.3882470Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-14T21:16:46.3883109Z >>> # from a github repo 2025-08-14T21:16:46.3883651Z >>> repo = "pytorch/vision" 2025-08-14T21:16:46.3884206Z >>> model = torch.hub.load( 2025-08-14T21:16:46.3884904Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2025-08-14T21:16:46.3885633Z ... ) 2025-08-14T21:16:46.3886051Z >>> # from a local directory 2025-08-14T21:16:46.3886643Z >>> path = "/some/local/path/pytorch/vision" 2025-08-14T21:16:46.3887281Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.3888061Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2025-08-14T21:16:46.3888873Z 2025-08-14T21:16:46.3889556Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3890405Z 2025-08-14T21:16:46.3890776Z warnings.warn(msg) 2025-08-14T21:16:46.3891236Z 2025-08-14T21:16:46.3891857Z --- Parse Warning: 5 / 146 --- 2025-08-14T21:16:46.3893844Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=657. 2025-08-14T21:16:46.3896089Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3896974Z 2025-08-14T21:16:46.3897497Z Load a model from a local directory with a ``hubconf.py``. 2025-08-14T21:16:46.3898175Z 2025-08-14T21:16:46.3898530Z Args: 2025-08-14T21:16:46.3899081Z hubconf_dir (str): path to a local directory that contains a 2025-08-14T21:16:46.3899799Z ``hubconf.py``. 2025-08-14T21:16:46.3900646Z model (str): name of an entrypoint defined in the directory's 2025-08-14T21:16:46.3901377Z ``hubconf.py``. 2025-08-14T21:16:46.3902051Z *args (optional): the corresponding args for callable ``model``. 2025-08-14T21:16:46.3903014Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-08-14T21:16:46.3903794Z 2025-08-14T21:16:46.3904160Z Returns: 2025-08-14T21:16:46.3904682Z a single model with corresponding pretrained weights. 2025-08-14T21:16:46.3905358Z 2025-08-14T21:16:46.3905795Z Example: 2025-08-14T21:16:46.3906227Z >>> # xdoctest: +SKIP("stub local path") 2025-08-14T21:16:46.3906892Z >>> path = "/some/local/path/pytorch/vision" 2025-08-14T21:16:46.3907523Z >>> model = _load_local( 2025-08-14T21:16:46.3908013Z ... path, 2025-08-14T21:16:46.3908458Z ... "resnet50", 2025-08-14T21:16:46.3909016Z ... weights="ResNet50_Weights.IMAGENET1K_V1", 2025-08-14T21:16:46.3909626Z ... ) 2025-08-14T21:16:46.3910006Z 2025-08-14T21:16:46.3910674Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3911518Z 2025-08-14T21:16:46.3911887Z warnings.warn(msg) 2025-08-14T21:16:46.3912341Z 2025-08-14T21:16:46.3912993Z --- Parse Warning: 6 / 146 --- 2025-08-14T21:16:46.3914994Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=696. 2025-08-14T21:16:46.3917374Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3918370Z Download object at the given URL to a local path. 2025-08-14T21:16:46.3919000Z 2025-08-14T21:16:46.3919368Z Args: 2025-08-14T21:16:46.3919824Z url (str): URL of the object to download 2025-08-14T21:16:46.3920699Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2025-08-14T21:16:46.3921955Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2025-08-14T21:16:46.3922980Z Default: None 2025-08-14T21:16:46.3923767Z progress (bool, optional): whether or not to display a progress bar to stderr 2025-08-14T21:16:46.3924633Z Default: True 2025-08-14T21:16:46.3925112Z 2025-08-14T21:16:46.3925468Z Example: 2025-08-14T21:16:46.3925951Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-14T21:16:46.3926625Z >>> # xdoctest: +REQUIRES(POSIX) 2025-08-14T21:16:46.3927251Z >>> torch.hub.download_url_to_file( 2025-08-14T21:16:46.3928089Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2025-08-14T21:16:46.3928907Z ... "/tmp/temporary_file", 2025-08-14T21:16:46.3929464Z ... ) 2025-08-14T21:16:46.3929872Z 2025-08-14T21:16:46.3930209Z 2025-08-14T21:16:46.3930883Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3931723Z 2025-08-14T21:16:46.3932088Z warnings.warn(msg) 2025-08-14T21:16:46.3932544Z 2025-08-14T21:16:46.3933096Z --- Parse Warning: 7 / 146 --- 2025-08-14T21:16:46.3935131Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=821. 2025-08-14T21:16:46.3937635Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.3938627Z Loads the Torch serialized object at the given URL. 2025-08-14T21:16:46.3939268Z 2025-08-14T21:16:46.3939797Z If downloaded file is a zip file, it will be automatically 2025-08-14T21:16:46.3940508Z decompressed. 2025-08-14T21:16:46.3941049Z 2025-08-14T21:16:46.3941658Z If the object is already present in `model_dir`, it's deserialized and 2025-08-14T21:16:46.3942429Z returned. 2025-08-14T21:16:46.3943076Z The default value of ``model_dir`` is ``/checkpoints`` where 2025-08-14T21:16:46.3944053Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2025-08-14T21:16:46.3944775Z 2025-08-14T21:16:46.3945137Z Args: 2025-08-14T21:16:46.3945597Z url (str): URL of the object to download 2025-08-14T21:16:46.3946457Z model_dir (str, optional): directory in which to save the object 2025-08-14T21:16:46.3947705Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2025-08-14T21:16:46.3949065Z progress (bool, optional): whether or not to display a progress bar to stderr. 2025-08-14T21:16:46.3949965Z Default: True 2025-08-14T21:16:46.3950895Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2025-08-14T21:16:46.3952124Z ``filename-.ext`` where ```` is the first eight or more 2025-08-14T21:16:46.3953170Z digits of the SHA256 hash of the contents of the file. The hash is used to 2025-08-14T21:16:46.3954231Z ensure unique names and to verify the contents of the file. 2025-08-14T21:16:46.3955037Z Default: False 2025-08-14T21:16:46.3955992Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2025-08-14T21:16:46.3957453Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2025-08-14T21:16:46.3958762Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2025-08-14T21:16:46.3959631Z 2025-08-14T21:16:46.3960004Z Example: 2025-08-14T21:16:46.3960496Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-08-14T21:16:46.3961246Z >>> state_dict = torch.hub.load_state_dict_from_url( 2025-08-14T21:16:46.3962140Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2025-08-14T21:16:46.3962920Z ... ) 2025-08-14T21:16:46.3963314Z 2025-08-14T21:16:46.3963671Z 2025-08-14T21:16:46.3964363Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.3965205Z 2025-08-14T21:16:46.3965592Z warnings.warn(msg) 2025-08-14T21:16:46.3966055Z 2025-08-14T21:16:46.3966608Z --- Parse Warning: 8 / 146 --- 2025-08-14T21:16:46.3968689Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=375. 2025-08-14T21:16:46.3971016Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.3972162Z Registers the function implementation as the fallback for the given key. 2025-08-14T21:16:46.3972977Z 2025-08-14T21:16:46.3973577Z This function only works for a library with global namespace ("_"). 2025-08-14T21:16:46.3974354Z 2025-08-14T21:16:46.3974705Z Args: 2025-08-14T21:16:46.3975467Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-08-14T21:16:46.3976598Z to register a fallthrough. 2025-08-14T21:16:46.3977624Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-08-14T21:16:46.3978743Z the dispatch key that the library was created with. 2025-08-14T21:16:46.3979966Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-08-14T21:16:46.3981673Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-08-14T21:16:46.3982652Z 2025-08-14T21:16:46.3983048Z Example:: 2025-08-14T21:16:46.3983472Z 2025-08-14T21:16:46.3983864Z >>> my_lib = Library("_", "IMPL") 2025-08-14T21:16:46.3984521Z >>> def fallback_kernel(op, *args, **kwargs): 2025-08-14T21:16:46.3985216Z >>> # Handle all autocast ops generically 2025-08-14T21:16:46.3985891Z >>> # ... 2025-08-14T21:16:46.3986449Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-08-14T21:16:46.3987084Z 2025-08-14T21:16:46.3988512Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-08-14T21:16:46.3990065Z 2025-08-14T21:16:46.3990508Z my_lib.fallback(fallback_kernel, "Autocast") 2025-08-14T21:16:46.3991121Z ^ 2025-08-14T21:16:46.3991490Z warnings.warn(msg) 2025-08-14T21:16:46.3991953Z 2025-08-14T21:16:46.3992530Z --- Parse Warning: 9 / 146 --- 2025-08-14T21:16:46.3994564Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=948. 2025-08-14T21:16:46.3996944Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.3998067Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-08-14T21:16:46.3998875Z 2025-08-14T21:16:46.3999398Z Also sometimes known as a "meta kernel", "abstract impl". 2025-08-14T21:16:46.4000099Z 2025-08-14T21:16:46.4000764Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-08-14T21:16:46.4001865Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-08-14T21:16:46.4002946Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-08-14T21:16:46.4003881Z what the properties of the output Tensors are. 2025-08-14T21:16:46.4004512Z 2025-08-14T21:16:46.4005136Z The FakeTensor implementation has the same signature as the operator. 2025-08-14T21:16:46.4006188Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-08-14T21:16:46.4007209Z implementation, assume that all Tensor inputs to the operator are 2025-08-14T21:16:46.4008224Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-08-14T21:16:46.4009198Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-08-14T21:16:46.4010240Z The FakeTensor implementation must consist of only PyTorch operations 2025-08-14T21:16:46.4011255Z (and may not directly access the storage or data of any input or 2025-08-14T21:16:46.4012006Z intermediate Tensors). 2025-08-14T21:16:46.4012510Z 2025-08-14T21:16:46.4012987Z This API may be used as a decorator (see examples). 2025-08-14T21:16:46.4013619Z 2025-08-14T21:16:46.4014068Z For a detailed guide on custom ops, please see 2025-08-14T21:16:46.4014954Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-08-14T21:16:46.4015759Z 2025-08-14T21:16:46.4016104Z Args: 2025-08-14T21:16:46.4016740Z op_name: Operator name (along with the overload) or OpOverload object. 2025-08-14T21:16:46.4017596Z func: Fake tensor implementation. 2025-08-14T21:16:46.4018368Z lib (Optional[Library]): Library to register the fake tensor to. 2025-08-14T21:16:46.4019296Z allow_override: Flag controlling if we want to override an 2025-08-14T21:16:46.4020178Z existing registered fake impl. This is by default off, 2025-08-14T21:16:46.4021038Z and will error you're trying to register a fake impl to 2025-08-14T21:16:46.4021996Z an operator that already has a fake impl. This also only 2025-08-14T21:16:46.4022857Z applies if the custom operator was not created via 2025-08-14T21:16:46.4023729Z torch.library.custom_op, as overriding and existing fake 2025-08-14T21:16:46.4024503Z impl is already allowed. 2025-08-14T21:16:46.4025082Z 2025-08-14T21:16:46.4025453Z Examples: 2025-08-14T21:16:46.4025930Z >>> import torch 2025-08-14T21:16:46.4026444Z >>> import numpy as np 2025-08-14T21:16:46.4027008Z >>> from torch import Tensor 2025-08-14T21:16:46.4027544Z >>> 2025-08-14T21:16:46.4028128Z >>> # Example 1: an operator without data-dependent output shape 2025-08-14T21:16:46.4029112Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-08-14T21:16:46.4030134Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-14T21:16:46.4031089Z >>> raise NotImplementedError("Implementation goes here") 2025-08-14T21:16:46.4031809Z >>> 2025-08-14T21:16:46.4032363Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-08-14T21:16:46.4033067Z >>> def _(x, weight, bias): 2025-08-14T21:16:46.4033698Z >>> assert x.dim() == 2 2025-08-14T21:16:46.4034328Z >>> assert weight.dim() == 2 2025-08-14T21:16:46.4034935Z >>> assert bias.dim() == 1 2025-08-14T21:16:46.4035550Z >>> assert x.shape[1] == weight.shape[1] 2025-08-14T21:16:46.4036231Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-14T21:16:46.4036908Z >>> assert x.device == weight.device 2025-08-14T21:16:46.4037482Z >>> 2025-08-14T21:16:46.4037927Z >>> return (x @ weight.t()) + bias 2025-08-14T21:16:46.4038511Z >>> 2025-08-14T21:16:46.4039061Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-08-14T21:16:46.4039785Z >>> x = torch.randn(2, 3) 2025-08-14T21:16:46.4040371Z >>> w = torch.randn(3, 3) 2025-08-14T21:16:46.4040930Z >>> b = torch.randn(3) 2025-08-14T21:16:46.4041566Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-08-14T21:16:46.4042197Z >>> 2025-08-14T21:16:46.4042631Z >>> assert y.shape == (2, 3) 2025-08-14T21:16:46.4043171Z >>> 2025-08-14T21:16:46.4043741Z >>> # Example 2: an operator with data-dependent output shape 2025-08-14T21:16:46.4044697Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-08-14T21:16:46.4045550Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-08-14T21:16:46.4046198Z >>> x_np = x.numpy(force=True) 2025-08-14T21:16:46.4046840Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-14T21:16:46.4047532Z >>> return torch.tensor(res, device=x.device) 2025-08-14T21:16:46.4048147Z >>> 2025-08-14T21:16:46.4048703Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-08-14T21:16:46.4049405Z >>> def _(x): 2025-08-14T21:16:46.4049959Z >>> # Number of nonzero-elements is data-dependent. 2025-08-14T21:16:46.4050730Z >>> # Since we cannot peek at the data in an fake impl, 2025-08-14T21:16:46.4051513Z >>> # we use the ctx object to construct a new symint that 2025-08-14T21:16:46.4052241Z >>> # represents the data-dependent size. 2025-08-14T21:16:46.4052894Z >>> ctx = torch.library.get_ctx() 2025-08-14T21:16:46.4053525Z >>> nnz = ctx.new_dynamic_size() 2025-08-14T21:16:46.4054140Z >>> shape = [nnz, x.dim()] 2025-08-14T21:16:46.4054783Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-14T21:16:46.4055531Z >>> return result 2025-08-14T21:16:46.4056038Z >>> 2025-08-14T21:16:46.4056597Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-14T21:16:46.4057313Z >>> 2025-08-14T21:16:46.4057760Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-08-14T21:16:46.4058616Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-08-14T21:16:46.4059505Z >>> trace.print_readable() 2025-08-14T21:16:46.4060057Z >>> 2025-08-14T21:16:46.4060697Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-08-14T21:16:46.4061500Z 2025-08-14T21:16:46.4061856Z 2025-08-14T21:16:46.4063073Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-08-14T21:16:46.4064439Z 2025-08-14T21:16:46.4064797Z _._ = None 2025-08-14T21:16:46.4065187Z ^ 2025-08-14T21:16:46.4065570Z warnings.warn(msg) 2025-08-14T21:16:46.4066110Z 2025-08-14T21:16:46.4066721Z --- Parse Warning: 10 / 146 --- 2025-08-14T21:16:46.4068803Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1083. 2025-08-14T21:16:46.4071220Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4072245Z Register a backward formula for this custom op. 2025-08-14T21:16:46.4072881Z 2025-08-14T21:16:46.4073444Z In order for an operator to work with autograd, you need to register 2025-08-14T21:16:46.4074229Z a backward formula: 2025-08-14T21:16:46.4074929Z 1. You must tell us how to compute gradients during the backward pass 2025-08-14T21:16:46.4075740Z by providing us a "backward" function. 2025-08-14T21:16:46.4076722Z 2. If you need any values from the forward to compute gradients, you can 2025-08-14T21:16:46.4077600Z use `setup_context` to save values for backward. 2025-08-14T21:16:46.4078229Z 2025-08-14T21:16:46.4078835Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2025-08-14T21:16:46.4079845Z - ``grads`` is one or more gradients. The number of gradients matches 2025-08-14T21:16:46.4080652Z the number of outputs of the operator. 2025-08-14T21:16:46.4081469Z The ``ctx`` object is `the same ctx object `_ used by 2025-08-14T21:16:46.4082545Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2025-08-14T21:16:46.4083509Z same as :meth:`torch.autograd.Function.backward`. 2025-08-14T21:16:46.4084151Z 2025-08-14T21:16:46.4084736Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2025-08-14T21:16:46.4085777Z Please save quantities needed for backward onto the ``ctx`` object via 2025-08-14T21:16:46.4086881Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2025-08-14T21:16:46.4087908Z or assigning them as attributes of ``ctx``. If your custom op has 2025-08-14T21:16:46.4088891Z kwarg-only arguments, we expect the signature of ``setup_context`` 2025-08-14T21:16:46.4089864Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2025-08-14T21:16:46.4090589Z 2025-08-14T21:16:46.4091189Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2025-08-14T21:16:46.4092242Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2025-08-14T21:16:46.4093315Z not depend on or mutate global state. If you need a non-traceable backward, 2025-08-14T21:16:46.4094379Z you can make it a separate custom_op that you call inside ``backward_fn``. 2025-08-14T21:16:46.4095178Z 2025-08-14T21:16:46.4095939Z If you need different autograd behavior on different devices, then we 2025-08-14T21:16:46.4096997Z recommend creating two different custom operators, one for each device 2025-08-14T21:16:46.4098081Z that needs different behavior, and switching between them at runtime. 2025-08-14T21:16:46.4098874Z 2025-08-14T21:16:46.4099227Z Examples: 2025-08-14T21:16:46.4099667Z >>> import torch 2025-08-14T21:16:46.4100182Z >>> import numpy as np 2025-08-14T21:16:46.4100761Z >>> from torch import Tensor 2025-08-14T21:16:46.4101298Z >>> 2025-08-14T21:16:46.4101922Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2025-08-14T21:16:46.4102740Z >>> def numpy_sin(x: Tensor) -> Tensor: 2025-08-14T21:16:46.4103348Z >>> x_np = x.cpu().numpy() 2025-08-14T21:16:46.4103927Z >>> y_np = np.sin(x_np) 2025-08-14T21:16:46.4104588Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-14T21:16:46.4105243Z >>> 2025-08-14T21:16:46.4105848Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2025-08-14T21:16:46.4106522Z >>> x, = inputs 2025-08-14T21:16:46.4107053Z >>> ctx.save_for_backward(x) 2025-08-14T21:16:46.4107603Z >>> 2025-08-14T21:16:46.4108032Z >>> def backward(ctx, grad): 2025-08-14T21:16:46.4108710Z >>> x, = ctx.saved_tensors 2025-08-14T21:16:46.4109332Z >>> return grad * x.cos() 2025-08-14T21:16:46.4109885Z >>> 2025-08-14T21:16:46.4110348Z >>> torch.library.register_autograd( 2025-08-14T21:16:46.4111110Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2025-08-14T21:16:46.4111813Z ... ) 2025-08-14T21:16:46.4112220Z >>> 2025-08-14T21:16:46.4112673Z >>> x = torch.randn(3, requires_grad=True) 2025-08-14T21:16:46.4113285Z >>> y = numpy_sin(x) 2025-08-14T21:16:46.4113946Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-14T21:16:46.4114722Z >>> assert torch.allclose(grad_x, x.cos()) 2025-08-14T21:16:46.4115300Z >>> 2025-08-14T21:16:46.4115749Z >>> # Example with a keyword-only arg 2025-08-14T21:16:46.4116552Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-14T21:16:46.4117403Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2025-08-14T21:16:46.4118086Z >>> x_np = x.cpu().numpy() 2025-08-14T21:16:46.4118658Z >>> y_np = x_np * val 2025-08-14T21:16:46.4119291Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-08-14T21:16:46.4119955Z >>> 2025-08-14T21:16:46.4120615Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2025-08-14T21:16:46.4121493Z >>> ctx.val = keyword_only_inputs["val"] 2025-08-14T21:16:46.4122080Z >>> 2025-08-14T21:16:46.4122516Z >>> def backward(ctx, grad): 2025-08-14T21:16:46.4123095Z >>> return grad * ctx.val 2025-08-14T21:16:46.4123630Z >>> 2025-08-14T21:16:46.4124091Z >>> torch.library.register_autograd( 2025-08-14T21:16:46.4124857Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2025-08-14T21:16:46.4125552Z ... ) 2025-08-14T21:16:46.4125952Z >>> 2025-08-14T21:16:46.4126411Z >>> x = torch.randn(3, requires_grad=True) 2025-08-14T21:16:46.4127034Z >>> y = numpy_mul(x, val=3.14) 2025-08-14T21:16:46.4127743Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-08-14T21:16:46.4128611Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2025-08-14T21:16:46.4129304Z 2025-08-14T21:16:46.4129646Z 2025-08-14T21:16:46.4130332Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4131175Z 2025-08-14T21:16:46.4131631Z warnings.warn(msg) 2025-08-14T21:16:46.4132105Z 2025-08-14T21:16:46.4132712Z --- Parse Warning: 11 / 146 --- 2025-08-14T21:16:46.4134722Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1482. 2025-08-14T21:16:46.4136988Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.4138085Z Returns the computed kernel for a given operator and dispatch key. 2025-08-14T21:16:46.4138852Z 2025-08-14T21:16:46.4139454Z This function retrieves the kernel that would be executed for a given 2025-08-14T21:16:46.4140534Z operator and dispatch key combination. The returned SafeKernelFunction 2025-08-14T21:16:46.4141563Z can be used to call the kernel in a boxed fashion. The intended use 2025-08-14T21:16:46.4142532Z case for this function is to retrieve the original kernel for a given 2025-08-14T21:16:46.4143569Z dispatch key and then register another kernel to the same dispatch key 2025-08-14T21:16:46.4144524Z that calls into the original kernel for certain cases. 2025-08-14T21:16:46.4145198Z 2025-08-14T21:16:46.4145543Z Args: 2025-08-14T21:16:46.4146256Z op: Operator name (along with the overload) or OpOverload object 2025-08-14T21:16:46.4147265Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-08-14T21:16:46.4148431Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-08-14T21:16:46.4149484Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-08-14T21:16:46.4150207Z 2025-08-14T21:16:46.4150568Z Returns: 2025-08-14T21:16:46.4151244Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-08-14T21:16:46.4152094Z call the kernel. 2025-08-14T21:16:46.4152585Z 2025-08-14T21:16:46.4152924Z Raises: 2025-08-14T21:16:46.4153422Z RuntimeError: If the operator does not exist. 2025-08-14T21:16:46.4154044Z 2025-08-14T21:16:46.4154390Z Example: 2025-08-14T21:16:46.4154840Z >>> # Get the CPU kernel for torch.add 2025-08-14T21:16:46.4155631Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-08-14T21:16:46.4156342Z >>> 2025-08-14T21:16:46.4156800Z >>> # You can also use DispatchKey enum 2025-08-14T21:16:46.4157714Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-08-14T21:16:46.4158576Z >>> 2025-08-14T21:16:46.4159012Z >>> # Or use an OpOverload directly 2025-08-14T21:16:46.4159858Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-08-14T21:16:46.4160656Z >>> 2025-08-14T21:16:46.4161279Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-08-14T21:16:46.4162129Z >>> # Get the original kernel for torch.sin 2025-08-14T21:16:46.4162966Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-08-14T21:16:46.4163750Z >>> 2025-08-14T21:16:46.4164391Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-08-14T21:16:46.4165296Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-08-14T21:16:46.4165953Z >>> if (x < 0).any(): 2025-08-14T21:16:46.4166637Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-08-14T21:16:46.4167368Z >>> else: 2025-08-14T21:16:46.4167865Z >>> return torch.zeros_like(x) 2025-08-14T21:16:46.4168427Z >>> 2025-08-14T21:16:46.4168913Z >>> lib = torch.library.Library("aten", "IMPL") 2025-08-14T21:16:46.4169956Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-08-14T21:16:46.4171028Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-08-14T21:16:46.4171936Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-08-14T21:16:46.4172680Z >>> 2025-08-14T21:16:46.4173137Z >>> # Test the conditional behavior 2025-08-14T21:16:46.4173765Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-08-14T21:16:46.4174425Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-08-14T21:16:46.4175046Z >>> torch.sin(x_positive) 2025-08-14T21:16:46.4175588Z tensor([0., 0.]) 2025-08-14T21:16:46.4176233Z >>> torch.sin(x_mixed) 2025-08-14T21:16:46.4176775Z tensor([-0.8415, 0.9093]) 2025-08-14T21:16:46.4177308Z 2025-08-14T21:16:46.4178407Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-08-14T21:16:46.4179692Z 2025-08-14T21:16:46.4180237Z which needs to be the first argument to ``kernel.call_boxed`` 2025-08-14T21:16:46.4180937Z ^ 2025-08-14T21:16:46.4181337Z warnings.warn(msg) 2025-08-14T21:16:46.4181797Z 2025-08-14T21:16:46.4182385Z --- Parse Warning: 12 / 146 --- 2025-08-14T21:16:46.4184497Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1571. 2025-08-14T21:16:46.4186890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4188009Z Given an operator and some sample arguments, tests if the operator is 2025-08-14T21:16:46.4188810Z registered correctly. 2025-08-14T21:16:46.4189296Z 2025-08-14T21:16:46.4189882Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2025-08-14T21:16:46.4190944Z custom op, you specified metadata (e.g. mutability info) about the custom op 2025-08-14T21:16:46.4192045Z and these APIs require that the functions you pass them satisfy certain 2025-08-14T21:16:46.4193106Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2025-08-14T21:16:46.4194024Z ``opcheck`` tests these metadata and properties. 2025-08-14T21:16:46.4194642Z 2025-08-14T21:16:46.4195062Z Concretely, we test the following: 2025-08-14T21:16:46.4195623Z 2025-08-14T21:16:46.4196136Z - test_schema: If the schema matches the implementation of 2025-08-14T21:16:46.4197090Z the operator. For example: if the schema specifies a Tensor is mutated, 2025-08-14T21:16:46.4198113Z then we check the implementation mutates the Tensor. If the schema 2025-08-14T21:16:46.4199055Z specifies that we return a new Tensor, then we check that the 2025-08-14T21:16:46.4200042Z implementation returns a new Tensor (instead of an existing one or 2025-08-14T21:16:46.4200861Z a view of an existing one). 2025-08-14T21:16:46.4201608Z - test_autograd_registration: If the operator supports training 2025-08-14T21:16:46.4202543Z (autograd): we check that its autograd formula is registered via 2025-08-14T21:16:46.4203508Z torch.library.register_autograd or a manual registration to one 2025-08-14T21:16:46.4204510Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2025-08-14T21:16:46.4205355Z registrations may lead to undefined behavior. 2025-08-14T21:16:46.4206150Z - test_faketensor: If the operator has a FakeTensor kernel 2025-08-14T21:16:46.4207009Z (and if it is correct). The FakeTensor kernel is necessary ( 2025-08-14T21:16:46.4207954Z but not sufficient) for the operator to work with PyTorch compilation 2025-08-14T21:16:46.4208968Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2025-08-14T21:16:46.4210047Z (also sometimes known as a meta kernel) was registered for the 2025-08-14T21:16:46.4210993Z operator and that it is correct. This test takes the result of 2025-08-14T21:16:46.4211920Z running the operator on real tensors and the result of running 2025-08-14T21:16:46.4212862Z the operator on FakeTensors and checks that they have the same 2025-08-14T21:16:46.4213726Z Tensor metadata (sizes/strides/dtype/device/etc). 2025-08-14T21:16:46.4214608Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2025-08-14T21:16:46.4215527Z with PyTorch compilation APIs (torch.compile/export/FX). 2025-08-14T21:16:46.4216457Z This checks that the outputs (and gradients, if applicable) are the 2025-08-14T21:16:46.4217346Z same under eager-mode PyTorch and torch.compile. 2025-08-14T21:16:46.4218180Z This test is a superset of ``test_faketensor`` and is an e2e test; 2025-08-14T21:16:46.4219066Z other things it tests are that the operator supports 2025-08-14T21:16:46.4219988Z functionalization and that the backward pass (if it exists) also 2025-08-14T21:16:46.4220877Z supports FakeTensor and functionalization. 2025-08-14T21:16:46.4221477Z 2025-08-14T21:16:46.4222036Z For best results, please call ``opcheck`` multiple times with a 2025-08-14T21:16:46.4222997Z representative set of inputs. If your operator supports 2025-08-14T21:16:46.4224002Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2025-08-14T21:16:46.4225079Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2025-08-14T21:16:46.4226085Z use ``opcheck`` with inputs on all supported devices. 2025-08-14T21:16:46.4226749Z 2025-08-14T21:16:46.4227094Z Args: 2025-08-14T21:16:46.4227648Z op: The operator. Must either be a function decorated with 2025-08-14T21:16:46.4228599Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2025-08-14T21:16:46.4229607Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2025-08-14T21:16:46.4230437Z args: The args to the operator 2025-08-14T21:16:46.4231046Z kwargs: The kwargs to the operator 2025-08-14T21:16:46.4231784Z test_utils: Tests that we should run. Default: all of them. 2025-08-14T21:16:46.4232591Z Example: ("test_schema", "test_faketensor") 2025-08-14T21:16:46.4233407Z raise_exception: If we should raise an exception on the first 2025-08-14T21:16:46.4234294Z error. If False, we will return a dict with information 2025-08-14T21:16:46.4235018Z on if each test passed or not. 2025-08-14T21:16:46.4235883Z rtol (Optional[float]): Relative tolerance for floating point comparisons. 2025-08-14T21:16:46.4236809Z If specified ``atol`` must also be specified. 2025-08-14T21:16:46.4237625Z If omitted, default values based on the ``dtype`` are selected 2025-08-14T21:16:46.4238512Z (see the table in :func:`torch.testing.assert_close`). 2025-08-14T21:16:46.4239480Z atol (Optional[float]): Absolute tolerance for floating point comparisons. 2025-08-14T21:16:46.4240406Z If specified ``rtol`` must also be specified. 2025-08-14T21:16:46.4241217Z If omitted, default values based on the ``dtype`` are selected 2025-08-14T21:16:46.4242104Z (see the table in :func:`torch.testing.assert_close`). 2025-08-14T21:16:46.4242788Z 2025-08-14T21:16:46.4243150Z .. warning:: 2025-08-14T21:16:46.4243562Z 2025-08-14T21:16:46.4244168Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2025-08-14T21:16:46.4245188Z opcheck tests if your usage of torch.library APIs is correct while 2025-08-14T21:16:46.4246197Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2025-08-14T21:16:46.4247356Z mathematically correct. Use both to test custom ops that support 2025-08-14T21:16:46.4248180Z gradient computation. 2025-08-14T21:16:46.4248683Z 2025-08-14T21:16:46.4249046Z Example: 2025-08-14T21:16:46.4249452Z 2025-08-14T21:16:46.4249888Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:46.4250739Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-08-14T21:16:46.4251595Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2025-08-14T21:16:46.4252261Z >>> x_np = x.numpy(force=True) 2025-08-14T21:16:46.4252858Z >>> z_np = x_np * y 2025-08-14T21:16:46.4253465Z >>> return torch.from_numpy(z_np).to(x.device) 2025-08-14T21:16:46.4254100Z >>> 2025-08-14T21:16:46.4254520Z >>> @numpy_mul.register_fake 2025-08-14T21:16:46.4255099Z >>> def _(x, y): 2025-08-14T21:16:46.4255638Z >>> return torch.empty_like(x) 2025-08-14T21:16:46.4256203Z >>> 2025-08-14T21:16:46.4256676Z >>> def setup_context(ctx, inputs, output): 2025-08-14T21:16:46.4257300Z >>> y, = inputs 2025-08-14T21:16:46.4257776Z >>> ctx.y = y 2025-08-14T21:16:46.4258251Z >>> 2025-08-14T21:16:46.4258727Z >>> def backward(ctx, grad): 2025-08-14T21:16:46.4259309Z >>> return grad * ctx.y, None 2025-08-14T21:16:46.4259952Z >>> 2025-08-14T21:16:46.4260591Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2025-08-14T21:16:46.4261375Z >>> 2025-08-14T21:16:46.4261795Z >>> sample_inputs = [ 2025-08-14T21:16:46.4262344Z >>> (torch.randn(3), 3.14), 2025-08-14T21:16:46.4262969Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2025-08-14T21:16:46.4263674Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2025-08-14T21:16:46.4264519Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2025-08-14T21:16:46.4265253Z >>> ] 2025-08-14T21:16:46.4265640Z >>> 2025-08-14T21:16:46.4266143Z >>> for args in sample_inputs: 2025-08-14T21:16:46.4266792Z >>> torch.library.opcheck(numpy_mul, args) 2025-08-14T21:16:46.4267396Z 2025-08-14T21:16:46.4267746Z 2025-08-14T21:16:46.4268424Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4269266Z 2025-08-14T21:16:46.4269649Z warnings.warn(msg) 2025-08-14T21:16:46.4270101Z 2025-08-14T21:16:46.4270716Z --- Parse Warning: 13 / 146 --- 2025-08-14T21:16:46.4272733Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1285. 2025-08-14T21:16:46.4275040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4276520Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2025-08-14T21:16:46.4277507Z 2025-08-14T21:16:46.4278038Z Loads an object saved with :func:`torch.save` from a file. 2025-08-14T21:16:46.4278739Z 2025-08-14T21:16:46.4279376Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2025-08-14T21:16:46.4280458Z which underlie tensors, specially. They are first deserialized on the 2025-08-14T21:16:46.4281509Z CPU and are then moved to the device they were saved from. If this fails 2025-08-14T21:16:46.4282558Z (e.g. because the run time system doesn't have certain devices), an exception 2025-08-14T21:16:46.4283639Z is raised. However, storages can be dynamically remapped to an alternative 2025-08-14T21:16:46.4284612Z set of devices using the :attr:`map_location` argument. 2025-08-14T21:16:46.4285282Z 2025-08-14T21:16:46.4286072Z If :attr:`map_location` is a callable, it will be called once for each serialized 2025-08-14T21:16:46.4287156Z storage with two arguments: storage and location. The storage argument 2025-08-14T21:16:46.4288228Z will be the initial deserialization of the storage, residing on the CPU. 2025-08-14T21:16:46.4289285Z Each serialized storage has a location tag associated with it which 2025-08-14T21:16:46.4290301Z identifies the device it was saved from, and this tag is the second 2025-08-14T21:16:46.4291387Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2025-08-14T21:16:46.4292487Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2025-08-14T21:16:46.4293508Z :attr:`map_location` should return either ``None`` or a storage. If 2025-08-14T21:16:46.4294559Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2025-08-14T21:16:46.4295725Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2025-08-14T21:16:46.4296864Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2025-08-14T21:16:46.4297682Z 2025-08-14T21:16:46.4298320Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2025-08-14T21:16:46.4299466Z a device tag, it indicates the location where all tensors should be loaded. 2025-08-14T21:16:46.4300333Z 2025-08-14T21:16:46.4300999Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2025-08-14T21:16:46.4302091Z appearing in the file (keys), to ones that specify where to put the 2025-08-14T21:16:46.4302869Z storages (values). 2025-08-14T21:16:46.4303317Z 2025-08-14T21:16:46.4303925Z User extensions can register their own location tags and tagging and 2025-08-14T21:16:46.4305066Z deserialization methods using :func:`torch.serialization.register_package`. 2025-08-14T21:16:46.4306040Z 2025-08-14T21:16:46.4306683Z See :ref:`layout-control` for more advanced tools to manipulate a checkpoint. 2025-08-14T21:16:46.4307519Z 2025-08-14T21:16:46.4307873Z Args: 2025-08-14T21:16:46.4308686Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2025-08-14T21:16:46.4309823Z or a string or os.PathLike object containing a file name 2025-08-14T21:16:46.4310959Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2025-08-14T21:16:46.4311940Z locations 2025-08-14T21:16:46.4312657Z pickle_module: module used for unpickling metadata and objects (has to 2025-08-14T21:16:46.4313624Z match the :attr:`pickle_module` used to serialize file) 2025-08-14T21:16:46.4314553Z weights_only: Indicates whether unpickler should be restricted to 2025-08-14T21:16:46.4315466Z loading only tensors, primitive types, dictionaries 2025-08-14T21:16:46.4316395Z and any types added via :func:`torch.serialization.add_safe_globals`. 2025-08-14T21:16:46.4332803Z See :ref:`weights-only` for more details. 2025-08-14T21:16:46.4334031Z mmap: Indicates whether the file should be mapped rather than loading all the storages into memory. 2025-08-14T21:16:46.4335553Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2025-08-14T21:16:46.4337056Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2025-08-14T21:16:46.4338537Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2025-08-14T21:16:46.4339982Z tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages 2025-08-14T21:16:46.4341284Z will be lazily loaded when their data is accessed. 2025-08-14T21:16:46.4342243Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2025-08-14T21:16:46.4343343Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2025-08-14T21:16:46.4344167Z :attr:`errors=...`. 2025-08-14T21:16:46.4344689Z 2025-08-14T21:16:46.4345082Z .. warning:: 2025-08-14T21:16:46.4345816Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2025-08-14T21:16:46.4346803Z uses ``pickle`` module implicitly, which is known to be insecure. 2025-08-14T21:16:46.4347318Z It is possible to construct malicious pickle data which will execute arbitrary code 2025-08-14T21:16:46.4347774Z during unpickling. Never load data that could have come from an untrusted 2025-08-14T21:16:46.4348324Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2025-08-14T21:16:46.4348486Z 2025-08-14T21:16:46.4348647Z .. note:: 2025-08-14T21:16:46.4349120Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2025-08-14T21:16:46.4349612Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2025-08-14T21:16:46.4350168Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2025-08-14T21:16:46.4350363Z 2025-08-14T21:16:46.4350532Z .. note:: 2025-08-14T21:16:46.4350991Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2025-08-14T21:16:46.4351402Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2025-08-14T21:16:46.4351785Z when loading files saved by Python 2 in Python 3. If this default 2025-08-14T21:16:46.4352264Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2025-08-14T21:16:46.4352714Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2025-08-14T21:16:46.4353154Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2025-08-14T21:16:46.4353574Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2025-08-14T21:16:46.4353742Z 2025-08-14T21:16:46.4353908Z Example: 2025-08-14T21:16:46.4354164Z >>> # xdoctest: +SKIP("undefined filepaths") 2025-08-14T21:16:46.4354415Z >>> torch.load("tensors.pt", weights_only=True) 2025-08-14T21:16:46.4354617Z # Load all tensors onto the CPU 2025-08-14T21:16:46.4354803Z >>> torch.load( 2025-08-14T21:16:46.4354983Z ... "tensors.pt", 2025-08-14T21:16:46.4355212Z ... map_location=torch.device("cpu"), 2025-08-14T21:16:46.4355413Z ... weights_only=True, 2025-08-14T21:16:46.4355564Z ... ) 2025-08-14T21:16:46.4355828Z # Load all tensors onto the CPU, using a function 2025-08-14T21:16:46.4356014Z >>> torch.load( 2025-08-14T21:16:46.4356192Z ... "tensors.pt", 2025-08-14T21:16:46.4356447Z ... map_location=lambda storage, loc: storage, 2025-08-14T21:16:46.4356648Z ... weights_only=True, 2025-08-14T21:16:46.4356799Z ... ) 2025-08-14T21:16:46.4357018Z # Load all tensors onto GPU 1 2025-08-14T21:16:46.4357186Z >>> torch.load( 2025-08-14T21:16:46.4357364Z ... "tensors.pt", 2025-08-14T21:16:46.4357677Z ... map_location=lambda storage, loc: storage.cuda(1), 2025-08-14T21:16:46.4357863Z ... weights_only=True, 2025-08-14T21:16:46.4358065Z ... ) # type: ignore[attr-defined] 2025-08-14T21:16:46.4358285Z # Map tensors from GPU 1 to GPU 0 2025-08-14T21:16:46.4358454Z >>> torch.load( 2025-08-14T21:16:46.4358697Z ... "tensors.pt", 2025-08-14T21:16:46.4358934Z ... map_location={"cuda:1": "cuda:0"}, 2025-08-14T21:16:46.4359117Z ... weights_only=True, 2025-08-14T21:16:46.4359281Z ... ) 2025-08-14T21:16:46.4359495Z # Load tensor from io.BytesIO object 2025-08-14T21:16:46.4359965Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2025-08-14T21:16:46.4360195Z >>> with open("tensor.pt", "rb") as f: 2025-08-14T21:16:46.4360399Z ... buffer = io.BytesIO(f.read()) 2025-08-14T21:16:46.4360630Z >>> torch.load(buffer, weights_only=False) 2025-08-14T21:16:46.4360918Z # Load a module with 'ascii' encoding for unpickling 2025-08-14T21:16:46.4361378Z # Loading from a module setting weights_only=False, warning this can be unsafe 2025-08-14T21:16:46.4361748Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2025-08-14T21:16:46.4361901Z 2025-08-14T21:16:46.4362381Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4362549Z 2025-08-14T21:16:46.4362727Z warnings.warn(msg) 2025-08-14T21:16:46.4362880Z 2025-08-14T21:16:46.4363349Z --- Parse Warning: 14 / 146 --- 2025-08-14T21:16:46.4365290Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py line=1851. 2025-08-14T21:16:46.4365835Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4366239Z Computes the minimum storage size to hold the given tensor geometry. 2025-08-14T21:16:46.4366392Z 2025-08-14T21:16:46.4366567Z Example 2025-08-14T21:16:46.4366723Z ======= 2025-08-14T21:16:46.4366873Z 2025-08-14T21:16:46.4367311Z This is the size of a newly allocated tensor's storage, in units of elements 2025-08-14T21:16:46.4367462Z 2025-08-14T21:16:46.4367655Z >>> t = torch.empty((10, 20)) 2025-08-14T21:16:46.4368116Z >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset()) 2025-08-14T21:16:46.4368269Z 200 2025-08-14T21:16:46.4368418Z 2025-08-14T21:16:46.4368626Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:46.4368867Z >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11)) 2025-08-14T21:16:46.4369110Z >>> size = compute_required_storage_length( 2025-08-14T21:16:46.4369347Z ... t2.shape, t2.stride(), t2.storage_offset() 2025-08-14T21:16:46.4369505Z ... ) 2025-08-14T21:16:46.4369706Z >>> size == t.storage().size() 2025-08-14T21:16:46.4369864Z True 2025-08-14T21:16:46.4370015Z 2025-08-14T21:16:46.4370389Z A valid tensor may have a larger storage size, but never smaller 2025-08-14T21:16:46.4370539Z 2025-08-14T21:16:46.4370746Z >>> slice = torch.empty(100)[20:40] 2025-08-14T21:16:46.4370947Z >>> slice.storage().size() 2025-08-14T21:16:46.4371099Z 100 2025-08-14T21:16:46.4371250Z 2025-08-14T21:16:46.4371472Z >>> compute_required_storage_length( 2025-08-14T21:16:46.4371771Z ... slice.shape, slice.stride(), slice.storage_offset() 2025-08-14T21:16:46.4371943Z ... ) 2025-08-14T21:16:46.4372093Z 40 2025-08-14T21:16:46.4372247Z 2025-08-14T21:16:46.4372409Z 2025-08-14T21:16:46.4372877Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4373030Z 2025-08-14T21:16:46.4373216Z warnings.warn(msg) 2025-08-14T21:16:46.4373371Z 2025-08-14T21:16:46.4373722Z --- Parse Warning: 15 / 146 --- 2025-08-14T21:16:46.4375524Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=66. 2025-08-14T21:16:46.4376152Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.4376633Z Check if the current accelerator is available at runtime: it was build, all the 2025-08-14T21:16:46.4377029Z required drivers are available and at least one device is visible. 2025-08-14T21:16:46.4377299Z See :ref:`accelerator` for details. 2025-08-14T21:16:46.4377461Z 2025-08-14T21:16:46.4377621Z Returns: 2025-08-14T21:16:46.4378130Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-08-14T21:16:46.4378292Z 2025-08-14T21:16:46.4378748Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-08-14T21:16:46.4379248Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-08-14T21:16:46.4379713Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-08-14T21:16:46.4379980Z :ref:`multiprocessing-poison-fork-note`. 2025-08-14T21:16:46.4380145Z 2025-08-14T21:16:46.4380311Z Example:: 2025-08-14T21:16:46.4380461Z 2025-08-14T21:16:46.4380978Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:46.4381234Z 2025-08-14T21:16:46.4382291Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-08-14T21:16:46.4382509Z 2025-08-14T21:16:46.4382997Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:46.4383186Z ^ 2025-08-14T21:16:46.4383367Z warnings.warn(msg) 2025-08-14T21:16:46.4383515Z 2025-08-14T21:16:46.4383878Z --- Parse Warning: 16 / 146 --- 2025-08-14T21:16:46.4385598Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=212. 2025-08-14T21:16:46.4386120Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.4386517Z Wait for all kernels in all streams on the given device to complete. 2025-08-14T21:16:46.4386673Z 2025-08-14T21:16:46.4386841Z Args: 2025-08-14T21:16:46.4387428Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-08-14T21:16:46.4387851Z the current :ref:`accelerator` device type. If not given, 2025-08-14T21:16:46.4388227Z use :func:`torch.accelerator.current_device_index` by default. 2025-08-14T21:16:46.4388375Z 2025-08-14T21:16:46.4388963Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-08-14T21:16:46.4389131Z 2025-08-14T21:16:46.4389298Z Example:: 2025-08-14T21:16:46.4389460Z 2025-08-14T21:16:46.4389715Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:46.4390216Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:46.4390490Z >>> start_event = torch.Event(enable_timing=True) 2025-08-14T21:16:46.4390736Z >>> end_event = torch.Event(enable_timing=True) 2025-08-14T21:16:46.4390925Z >>> start_event.record() 2025-08-14T21:16:46.4391393Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-08-14T21:16:46.4391580Z >>> sum = torch.sum(tensor) 2025-08-14T21:16:46.4391780Z >>> end_event.record() 2025-08-14T21:16:46.4392009Z >>> torch.accelerator.synchronize() 2025-08-14T21:16:46.4392318Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-08-14T21:16:46.4392605Z 2025-08-14T21:16:46.4393661Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-08-14T21:16:46.4393811Z 2025-08-14T21:16:46.4394311Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-08-14T21:16:46.4394496Z ^ 2025-08-14T21:16:46.4394682Z warnings.warn(msg) 2025-08-14T21:16:46.4394847Z 2025-08-14T21:16:46.4395193Z --- Parse Warning: 17 / 146 --- 2025-08-14T21:16:46.4396808Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=434. 2025-08-14T21:16:46.4397265Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.4397489Z Retrieves the CUDA runtime API module. 2025-08-14T21:16:46.4397654Z 2025-08-14T21:16:46.4397800Z 2025-08-14T21:16:46.4398267Z This function initializes the CUDA runtime environment if it is not already 2025-08-14T21:16:46.4398709Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-08-14T21:16:46.4399167Z runtime API module provides access to various CUDA runtime functions. 2025-08-14T21:16:46.4399366Z 2025-08-14T21:16:46.4399525Z Args: 2025-08-14T21:16:46.4399680Z ``None`` 2025-08-14T21:16:46.4399844Z 2025-08-14T21:16:46.4400004Z Returns: 2025-08-14T21:16:46.4400263Z module: The CUDA runtime API module (_cudart). 2025-08-14T21:16:46.4400427Z 2025-08-14T21:16:46.4400582Z Raises: 2025-08-14T21:16:46.4401009Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-08-14T21:16:46.4401705Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-08-14T21:16:46.4401860Z 2025-08-14T21:16:46.4402099Z Example of CUDA operations with profiling: 2025-08-14T21:16:46.4402286Z >>> import torch 2025-08-14T21:16:46.4402530Z >>> from torch.cuda import cudart, check_error 2025-08-14T21:16:46.4402707Z >>> import os 2025-08-14T21:16:46.4402863Z >>> 2025-08-14T21:16:46.4403073Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-08-14T21:16:46.4403243Z >>> 2025-08-14T21:16:46.4403495Z >>> def perform_cuda_operations_with_streams(): 2025-08-14T21:16:46.4403709Z >>> stream = torch.cuda.Stream() 2025-08-14T21:16:46.4403936Z >>> with torch.cuda.stream(stream): 2025-08-14T21:16:46.4404165Z >>> x = torch.randn(100, 100, device='cuda') 2025-08-14T21:16:46.4404388Z >>> y = torch.randn(100, 100, device='cuda') 2025-08-14T21:16:46.4404585Z >>> z = torch.mul(x, y) 2025-08-14T21:16:46.4404755Z >>> return z 2025-08-14T21:16:46.4404919Z >>> 2025-08-14T21:16:46.4405119Z >>> torch.cuda.synchronize() 2025-08-14T21:16:46.4405358Z >>> print("====== Start nsys profiling ======") 2025-08-14T21:16:46.4405613Z >>> check_error(cudart().cudaProfilerStart()) 2025-08-14T21:16:46.4405873Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-08-14T21:16:46.4406148Z >>> result = perform_cuda_operations_with_streams() 2025-08-14T21:16:46.4406389Z >>> print("CUDA operations completed.") 2025-08-14T21:16:46.4406689Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-08-14T21:16:46.4406921Z >>> print("====== End nsys profiling ======") 2025-08-14T21:16:46.4407084Z 2025-08-14T21:16:46.4407441Z To run this example and save the profiling information, execute: 2025-08-14T21:16:46.4408201Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-14T21:16:46.4408351Z 2025-08-14T21:16:46.4408806Z This command profiles the CUDA operations in the provided script and saves 2025-08-14T21:16:46.4409180Z the profiling information to a file named `trace_name.prof`. 2025-08-14T21:16:46.4409619Z The `--profile-from-start off` option ensures that profiling starts only 2025-08-14T21:16:46.4409889Z after the `cudaProfilerStart` call in the script. 2025-08-14T21:16:46.4410310Z The `--csv` and `--print-summary` options format the profiling output as a 2025-08-14T21:16:46.4410552Z CSV file and print a summary, respectively. 2025-08-14T21:16:46.4411018Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-08-14T21:16:46.4411295Z overwrite of the output file if it already exists. 2025-08-14T21:16:46.4411450Z 2025-08-14T21:16:46.4412685Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-08-14T21:16:46.4412838Z 2025-08-14T21:16:46.4413488Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-08-14T21:16:46.4413693Z ^ 2025-08-14T21:16:46.4413875Z warnings.warn(msg) 2025-08-14T21:16:46.4414037Z 2025-08-14T21:16:46.4414435Z --- Parse Warning: 18 / 146 --- 2025-08-14T21:16:46.4416092Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=101. 2025-08-14T21:16:46.4416591Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4416740Z 2025-08-14T21:16:46.4417167Z Append the given callback function to this ``Future``, which will be run 2025-08-14T21:16:46.4417576Z when the ``Future`` is completed. Multiple callbacks can be added to 2025-08-14T21:16:46.4417952Z the same ``Future``, but the order in which they will be executed cannot 2025-08-14T21:16:46.4418307Z be guaranteed (to enforce a certain order consider chaining: 2025-08-14T21:16:46.4418678Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2025-08-14T21:16:46.4419065Z is the reference to this ``Future``. The callback function can use the 2025-08-14T21:16:46.4419478Z :meth:`value` method to get the value. Note that if this ``Future`` is 2025-08-14T21:16:46.4419895Z already completed, the given callback will be run immediately inline. 2025-08-14T21:16:46.4420051Z 2025-08-14T21:16:46.4420412Z If the ``Future``'s value contains tensors that reside on GPUs, the 2025-08-14T21:16:46.4420816Z callback might be invoked while the async kernels that are populating 2025-08-14T21:16:46.4421257Z those tensors haven't yet finished executing on the device. However, the 2025-08-14T21:16:46.4421643Z callback will be invoked with some dedicated streams set as current 2025-08-14T21:16:46.4422016Z (fetched from a global pool) which will be synchronized with those 2025-08-14T21:16:46.4422446Z kernels. Hence any operation performed by the callback on these tensors 2025-08-14T21:16:46.4422834Z will be scheduled on the device after the kernels complete. In other 2025-08-14T21:16:46.4423201Z words, as long as the callback doesn't switch streams, it can safely 2025-08-14T21:16:46.4423635Z manipulate the result without any additional synchronization. This is 2025-08-14T21:16:46.4423926Z similar to the non-blocking behavior of :meth:`wait`. 2025-08-14T21:16:46.4424070Z 2025-08-14T21:16:46.4424474Z Similarly, if the callback returns a value that contains tensors that 2025-08-14T21:16:46.4424828Z reside on a GPU, it can do so even if the kernels that are producing 2025-08-14T21:16:46.4425324Z these tensors are still running on the device, as long as the callback 2025-08-14T21:16:46.4425768Z didn't change streams during its execution. If one wants to change 2025-08-14T21:16:46.4426161Z streams, one must be careful to re-synchronize them with the original 2025-08-14T21:16:46.4426575Z streams, that is, those that were current when the callback was invoked. 2025-08-14T21:16:46.4426730Z 2025-08-14T21:16:46.4426887Z Args: 2025-08-14T21:16:46.4427284Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2025-08-14T21:16:46.4427481Z the only argument. 2025-08-14T21:16:46.4427647Z 2025-08-14T21:16:46.4427803Z Returns: 2025-08-14T21:16:46.4428104Z A new ``Future`` object that holds the return value of the 2025-08-14T21:16:46.4428436Z ``callback`` and will be marked as completed when the given 2025-08-14T21:16:46.4428617Z ``callback`` finishes. 2025-08-14T21:16:46.4428762Z 2025-08-14T21:16:46.4429093Z .. note:: Note that if the callback function throws, either 2025-08-14T21:16:46.4429485Z through the original future being completed with an exception and 2025-08-14T21:16:46.4429835Z calling ``fut.wait()``, or through other code in the callback, the 2025-08-14T21:16:46.4430222Z future returned by ``then`` will be marked appropriately with the 2025-08-14T21:16:46.4430649Z encountered error. However, if this callback later completes 2025-08-14T21:16:46.4431126Z additional futures, those futures are not marked as completed with 2025-08-14T21:16:46.4431493Z an error and the user is responsible for handling completion/waiting 2025-08-14T21:16:46.4431691Z on those futures independently. 2025-08-14T21:16:46.4431854Z 2025-08-14T21:16:46.4432017Z Example:: 2025-08-14T21:16:46.4432162Z 2025-08-14T21:16:46.4432437Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-14T21:16:46.4432615Z >>> def callback(fut): 2025-08-14T21:16:46.4432871Z ... print(f"RPC return value is {fut.wait()}.") 2025-08-14T21:16:46.4433083Z >>> fut = torch.futures.Future() 2025-08-14T21:16:46.4433389Z >>> # The inserted callback will print the return value when 2025-08-14T21:16:46.4433619Z >>> # receiving the response from "worker1" 2025-08-14T21:16:46.4433811Z >>> cb_fut = fut.then(callback) 2025-08-14T21:16:46.4433998Z >>> chain_cb_fut = cb_fut.then( 2025-08-14T21:16:46.4434278Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2025-08-14T21:16:46.4434430Z ... ) 2025-08-14T21:16:46.4434607Z >>> fut.set_result(5) 2025-08-14T21:16:46.4434798Z RPC return value is 5. 2025-08-14T21:16:46.4434979Z Chained cb done. None 2025-08-14T21:16:46.4435128Z 2025-08-14T21:16:46.4435615Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4435764Z 2025-08-14T21:16:46.4435956Z warnings.warn(msg) 2025-08-14T21:16:46.4436107Z 2025-08-14T21:16:46.4436481Z --- Parse Warning: 19 / 146 --- 2025-08-14T21:16:46.4438196Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=211. 2025-08-14T21:16:46.4438685Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4438840Z 2025-08-14T21:16:46.4439227Z Set the result for this ``Future``, which will mark this ``Future`` as 2025-08-14T21:16:46.4439623Z completed and trigger all attached callbacks. Note that a ``Future`` 2025-08-14T21:16:46.4439841Z cannot be marked completed twice. 2025-08-14T21:16:46.4439986Z 2025-08-14T21:16:46.4440391Z If the result contains tensors that reside on GPUs, this method can be 2025-08-14T21:16:46.4440779Z called even if the asynchronous kernels that are populating those 2025-08-14T21:16:46.4441261Z tensors haven't yet completed running on the device, provided that the 2025-08-14T21:16:46.4441681Z streams on which those kernels were enqueued are set as the current ones 2025-08-14T21:16:46.4442084Z when this method is called. Put simply, it's safe to call this method 2025-08-14T21:16:46.4442483Z immediately after launching those kernels, without any additional 2025-08-14T21:16:46.4442919Z synchronization, as long as one doesn't change streams in between. This 2025-08-14T21:16:46.4443328Z method will record events on all the relevant current streams and will 2025-08-14T21:16:46.4443699Z use them to ensure proper scheduling for all the consumers of this 2025-08-14T21:16:46.4443869Z ``Future``. 2025-08-14T21:16:46.4444018Z 2025-08-14T21:16:46.4444164Z Args: 2025-08-14T21:16:46.4444473Z result (object): the result object of this ``Future``. 2025-08-14T21:16:46.4444619Z 2025-08-14T21:16:46.4444789Z Example:: 2025-08-14T21:16:46.4444958Z 2025-08-14T21:16:46.4445228Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-08-14T21:16:46.4445406Z >>> import threading 2025-08-14T21:16:46.4445580Z >>> import time 2025-08-14T21:16:46.4445782Z >>> def slow_set_future(fut, value): 2025-08-14T21:16:46.4445973Z ... time.sleep(0.5) 2025-08-14T21:16:46.4446206Z ... fut.set_result(value) 2025-08-14T21:16:46.4446410Z >>> fut = torch.futures.Future() 2025-08-14T21:16:46.4446646Z >>> t = threading.Thread( 2025-08-14T21:16:46.4446831Z ... target=slow_set_future, 2025-08-14T21:16:46.4447029Z ... args=(fut, torch.ones(2) * 3) 2025-08-14T21:16:46.4447189Z ... ) 2025-08-14T21:16:46.4447347Z >>> t.start() 2025-08-14T21:16:46.4447519Z >>> print(fut.wait()) 2025-08-14T21:16:46.4447696Z tensor([3., 3.]) 2025-08-14T21:16:46.4447852Z >>> t.join() 2025-08-14T21:16:46.4448001Z 2025-08-14T21:16:46.4448490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4448635Z 2025-08-14T21:16:46.4448827Z warnings.warn(msg) 2025-08-14T21:16:46.4448966Z 2025-08-14T21:16:46.4449310Z --- Parse Warning: 20 / 146 --- 2025-08-14T21:16:46.4450933Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=145. 2025-08-14T21:16:46.4451420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4451824Z Compiles compute shader from source and allows one to invoke kernels 2025-08-14T21:16:46.4452098Z defined there from the comfort of Python runtime 2025-08-14T21:16:46.4452256Z Example:: 2025-08-14T21:16:46.4452414Z 2025-08-14T21:16:46.4452654Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2025-08-14T21:16:46.4452874Z >>> lib = torch.mps.compile_shader( 2025-08-14T21:16:46.4453586Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2025-08-14T21:16:46.4453732Z ... ) 2025-08-14T21:16:46.4453968Z >>> x = torch.zeros(16, device="mps") 2025-08-14T21:16:46.4454145Z >>> lib.full(x, 3.14) 2025-08-14T21:16:46.4454296Z 2025-08-14T21:16:46.4454770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4454924Z 2025-08-14T21:16:46.4455098Z warnings.warn(msg) 2025-08-14T21:16:46.4455255Z 2025-08-14T21:16:46.4455582Z --- Parse Warning: 21 / 146 --- 2025-08-14T21:16:46.4457116Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202. 2025-08-14T21:16:46.4457687Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4457977Z Return the sum of each row of the given sparse tensor. 2025-08-14T21:16:46.4458132Z 2025-08-14T21:16:46.4458544Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2025-08-14T21:16:46.4458906Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2025-08-14T21:16:46.4459307Z reduce over all of them. When sum over all ``sparse_dim``, this method 2025-08-14T21:16:46.4459583Z returns a dense tensor instead of a sparse tensor. 2025-08-14T21:16:46.4459737Z 2025-08-14T21:16:46.4460230Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2025-08-14T21:16:46.4460580Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2025-08-14T21:16:46.4460747Z 2025-08-14T21:16:46.4461155Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2025-08-14T21:16:46.4461604Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2025-08-14T21:16:46.4461769Z 2025-08-14T21:16:46.4461923Z Args: 2025-08-14T21:16:46.4462146Z input (Tensor): the input sparse tensor 2025-08-14T21:16:46.4462661Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2025-08-14T21:16:46.4462874Z over all dims. 2025-08-14T21:16:46.4463381Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2025-08-14T21:16:46.4463606Z Default: dtype of :attr:`input`. 2025-08-14T21:16:46.4463758Z 2025-08-14T21:16:46.4463933Z Example:: 2025-08-14T21:16:46.4464086Z 2025-08-14T21:16:46.4464244Z >>> nnz = 3 2025-08-14T21:16:46.4464434Z >>> dims = [5, 5, 2, 3] 2025-08-14T21:16:46.4464719Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2025-08-14T21:16:46.4465060Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2025-08-14T21:16:46.4465295Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2025-08-14T21:16:46.4465487Z >>> size = torch.Size(dims) 2025-08-14T21:16:46.4465825Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:46.4466075Z >>> S = torch.sparse_coo_tensor(I, V, size) 2025-08-14T21:16:46.4466227Z >>> S 2025-08-14T21:16:46.4466445Z tensor(indices=tensor([[2, 0, 3], 2025-08-14T21:16:46.4466623Z [2, 4, 1]]), 2025-08-14T21:16:46.4466857Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2025-08-14T21:16:46.4467074Z [ 0.3411, 0.0918, -0.2312]], 2025-08-14T21:16:46.4467229Z 2025-08-14T21:16:46.4467424Z [[ 0.5348, 0.0634, -2.0494], 2025-08-14T21:16:46.4467628Z [-0.7125, -1.0646, 2.1844]], 2025-08-14T21:16:46.4467773Z 2025-08-14T21:16:46.4467972Z [[ 0.1276, 0.1874, -0.6334], 2025-08-14T21:16:46.4468181Z [-1.9682, -0.5340, 0.7483]]]), 2025-08-14T21:16:46.4468437Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2025-08-14T21:16:46.4468597Z 2025-08-14T21:16:46.4468946Z # when sum over only part of sparse_dims, return a sparse tensor 2025-08-14T21:16:46.4469154Z >>> torch.sparse.sum(S, [1, 3]) 2025-08-14T21:16:46.4469368Z tensor(indices=tensor([[0, 2, 3]]), 2025-08-14T21:16:46.4469570Z values=tensor([[-1.4512, 0.4073], 2025-08-14T21:16:46.4469751Z [-0.8901, 0.2017], 2025-08-14T21:16:46.4469944Z [-0.3183, -1.7539]]), 2025-08-14T21:16:46.4470188Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2025-08-14T21:16:46.4470351Z 2025-08-14T21:16:46.4470700Z # when sum over all sparse dim, return a dense tensor 2025-08-14T21:16:46.4470892Z # with summed dims squeezed 2025-08-14T21:16:46.4471109Z >>> torch.sparse.sum(S, [0, 1, 3]) 2025-08-14T21:16:46.4471288Z tensor([-2.6596, -1.1450]) 2025-08-14T21:16:46.4471441Z 2025-08-14T21:16:46.4471924Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4472078Z 2025-08-14T21:16:46.4472256Z warnings.warn(msg) 2025-08-14T21:16:46.4472419Z 2025-08-14T21:16:46.4472777Z --- Parse Warning: 22 / 146 --- 2025-08-14T21:16:46.4474495Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=as_sparse_gradcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=550. 2025-08-14T21:16:46.4474992Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4475340Z Decorate function, to extend gradcheck for sparse tensors. 2025-08-14T21:16:46.4475506Z 2025-08-14T21:16:46.4475899Z Decorator for torch.autograd.gradcheck or its functools.partial 2025-08-14T21:16:46.4476500Z variants that extends the gradcheck function with support to input 2025-08-14T21:16:46.4476832Z functions that operate on or/and return sparse tensors. 2025-08-14T21:16:46.4477101Z 2025-08-14T21:16:46.4477488Z The specified gradcheck function itself is guaranteed to operate 2025-08-14T21:16:46.4477750Z on strided tensors only. 2025-08-14T21:16:46.4477898Z 2025-08-14T21:16:46.4478074Z For example: 2025-08-14T21:16:46.4478224Z 2025-08-14T21:16:46.4478665Z >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck) 2025-08-14T21:16:46.4478834Z >>> x = ( 2025-08-14T21:16:46.4479112Z ... torch.tensor([[0, 1], [2, 3]], dtype=torch.float64) 2025-08-14T21:16:46.4479288Z ... .to_sparse_coo() 2025-08-14T21:16:46.4479494Z ... .requires_grad_(True) 2025-08-14T21:16:46.4479645Z ... ) 2025-08-14T21:16:46.4479880Z >>> gradcheck(lambda x: x.to_sparse_csr(), x) 2025-08-14T21:16:46.4480054Z True 2025-08-14T21:16:46.4480205Z 2025-08-14T21:16:46.4480694Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4480847Z 2025-08-14T21:16:46.4481023Z warnings.warn(msg) 2025-08-14T21:16:46.4481187Z 2025-08-14T21:16:46.4481541Z --- Parse Warning: 23 / 146 --- 2025-08-14T21:16:46.4483128Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-08-14T21:16:46.4483623Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4483773Z 2025-08-14T21:16:46.4484176Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-08-14T21:16:46.4484558Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-08-14T21:16:46.4484957Z pushes the map into PyTorch operations called by ``func``, effectively 2025-08-14T21:16:46.4485168Z vectorizing those operations. 2025-08-14T21:16:46.4485320Z 2025-08-14T21:16:46.4485710Z vmap is useful for handling batch dimensions: one can write a function 2025-08-14T21:16:46.4486095Z ``func`` that runs on examples and then lift it to a function that can 2025-08-14T21:16:46.4486488Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-08-14T21:16:46.4486792Z compute batched gradients when composed with autograd. 2025-08-14T21:16:46.4486959Z 2025-08-14T21:16:46.4487123Z .. note:: 2025-08-14T21:16:46.4487470Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-08-14T21:16:46.4487705Z convenience. Use whichever one you'd like. 2025-08-14T21:16:46.4487855Z 2025-08-14T21:16:46.4488121Z Args: 2025-08-14T21:16:46.4488505Z func (function): A Python function that takes one or more arguments. 2025-08-14T21:16:46.4488712Z Must return one or more Tensors. 2025-08-14T21:16:46.4489093Z in_dims (int or nested structure): Specifies which dimension of the 2025-08-14T21:16:46.4489408Z inputs should be mapped over. ``in_dims`` should have a 2025-08-14T21:16:46.4489766Z structure like the inputs. If the ``in_dim`` for a particular 2025-08-14T21:16:46.4490118Z input is None, then that indicates there is no map dimension. 2025-08-14T21:16:46.4490279Z Default: 0. 2025-08-14T21:16:46.4490641Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-08-14T21:16:46.4490990Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-08-14T21:16:46.4491266Z it should have one element per output. Default: 0. 2025-08-14T21:16:46.4491618Z randomness (str): Specifies whether the randomness in this 2025-08-14T21:16:46.4492001Z vmap should be the same or different across batches. If 'different', 2025-08-14T21:16:46.4492370Z the randomness for each batch will be different. If 'same', the 2025-08-14T21:16:46.4492779Z randomness will be the same across batches. If 'error', any calls to 2025-08-14T21:16:46.4493225Z random functions will error. Default: 'error'. WARNING: this flag 2025-08-14T21:16:46.4493646Z only applies to random PyTorch operations and does not apply to 2025-08-14T21:16:46.4493885Z Python's random module or numpy randomness. 2025-08-14T21:16:46.4494299Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-08-14T21:16:46.4494709Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-08-14T21:16:46.4495181Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-08-14T21:16:46.4495682Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-08-14T21:16:46.4495844Z 2025-08-14T21:16:46.4495998Z Returns: 2025-08-14T21:16:46.4496350Z Returns a new "batched" function. It takes the same inputs as 2025-08-14T21:16:46.4496686Z ``func``, except each input has an extra dimension at the index 2025-08-14T21:16:46.4497031Z specified by ``in_dims``. It takes returns the same outputs as 2025-08-14T21:16:46.4497381Z ``func``, except each output has an extra dimension at the index 2025-08-14T21:16:46.4497566Z specified by ``out_dims``. 2025-08-14T21:16:46.4497710Z 2025-08-14T21:16:46.4497875Z .. warning: 2025-08-14T21:16:46.4498236Z :func:`vmap` works best with functional-style code. Please do not 2025-08-14T21:16:46.4498572Z perform any side-effects in ``func``, with the exception of 2025-08-14T21:16:46.4499020Z in-place PyTorch operations. Examples of side-effects include mutating 2025-08-14T21:16:46.4499434Z Python data structures and assigning values to variables not captured 2025-08-14T21:16:46.4499612Z in ``func``. 2025-08-14T21:16:46.4499763Z 2025-08-14T21:16:46.4500190Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-08-14T21:16:46.4500598Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-08-14T21:16:46.4501009Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-08-14T21:16:46.4501153Z 2025-08-14T21:16:46.4501349Z >>> torch.dot # [D], [D] -> [] 2025-08-14T21:16:46.4501713Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-08-14T21:16:46.4501951Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-14T21:16:46.4502127Z >>> batched_dot(x, y) 2025-08-14T21:16:46.4502279Z 2025-08-14T21:16:46.4502774Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-08-14T21:16:46.4502974Z model authoring experience. 2025-08-14T21:16:46.4503126Z 2025-08-14T21:16:46.4503340Z >>> batch_size, feature_size = 3, 5 2025-08-14T21:16:46.4503650Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-14T21:16:46.4503803Z >>> 2025-08-14T21:16:46.4504007Z >>> def model(feature_vec): 2025-08-14T21:16:46.4504243Z >>> # Very simple linear model with activation 2025-08-14T21:16:46.4504475Z >>> return feature_vec.dot(weights).relu() 2025-08-14T21:16:46.4504639Z >>> 2025-08-14T21:16:46.4504908Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-14T21:16:46.4505136Z >>> result = torch.vmap(model)(examples) 2025-08-14T21:16:46.4505282Z 2025-08-14T21:16:46.4505822Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-08-14T21:16:46.4506267Z or impossible to batch. One example is higher-order gradient computation. 2025-08-14T21:16:46.4506697Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-08-14T21:16:46.4507123Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-08-14T21:16:46.4507591Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-08-14T21:16:46.4508067Z we can vectorize the whole computation, computing the Jacobian in a single 2025-08-14T21:16:46.4508308Z call to ``autograd.grad``. 2025-08-14T21:16:46.4508460Z 2025-08-14T21:16:46.4508621Z >>> # Setup 2025-08-14T21:16:46.4508792Z >>> N = 5 2025-08-14T21:16:46.4508964Z >>> f = lambda x: x**2 2025-08-14T21:16:46.4509185Z >>> x = torch.randn(N, requires_grad=True) 2025-08-14T21:16:46.4509357Z >>> y = f(x) 2025-08-14T21:16:46.4509532Z >>> I_N = torch.eye(N) 2025-08-14T21:16:46.4509688Z >>> 2025-08-14T21:16:46.4509887Z >>> # Sequential approach 2025-08-14T21:16:46.4510287Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-08-14T21:16:46.4510485Z >>> for v in I_N.unbind()] 2025-08-14T21:16:46.4510717Z >>> jacobian = torch.stack(jacobian_rows) 2025-08-14T21:16:46.4510873Z >>> 2025-08-14T21:16:46.4511103Z >>> # vectorized gradient computation 2025-08-14T21:16:46.4511275Z >>> def get_vjp(v): 2025-08-14T21:16:46.4511501Z >>> return torch.autograd.grad(y, x, v) 2025-08-14T21:16:46.4511734Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-08-14T21:16:46.4511884Z 2025-08-14T21:16:46.4512365Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-08-14T21:16:46.4512531Z 2025-08-14T21:16:46.4512717Z >>> torch.dot # [D], [D] -> [] 2025-08-14T21:16:46.4512910Z >>> batched_dot = torch.vmap( 2025-08-14T21:16:46.4513114Z ... torch.vmap(torch.dot) 2025-08-14T21:16:46.4513314Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-08-14T21:16:46.4513577Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-08-14T21:16:46.4513806Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-08-14T21:16:46.4513954Z 2025-08-14T21:16:46.4514412Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-08-14T21:16:46.4514688Z the dimension that each inputs are batched along as 2025-08-14T21:16:46.4514840Z 2025-08-14T21:16:46.4515042Z >>> torch.dot # [N], [N] -> [] 2025-08-14T21:16:46.4515446Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-08-14T21:16:46.4515671Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-08-14T21:16:46.4515854Z >>> batched_dot( 2025-08-14T21:16:46.4516012Z ... x, y 2025-08-14T21:16:46.4516368Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-08-14T21:16:46.4516520Z 2025-08-14T21:16:46.4517070Z If there are multiple inputs each of which is batched along different dimensions, 2025-08-14T21:16:46.4517448Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-08-14T21:16:46.4517595Z 2025-08-14T21:16:46.4517782Z >>> torch.dot # [D], [D] -> [] 2025-08-14T21:16:46.4518223Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-08-14T21:16:46.4518446Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-14T21:16:46.4518620Z >>> batched_dot( 2025-08-14T21:16:46.4518789Z ... x, y 2025-08-14T21:16:46.4519141Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-08-14T21:16:46.4519299Z 2025-08-14T21:16:46.4519730Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-08-14T21:16:46.4519928Z matching the shape of the input: 2025-08-14T21:16:46.4520103Z 2025-08-14T21:16:46.4520350Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-08-14T21:16:46.4520577Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-08-14T21:16:46.4520771Z >>> input = {"x": x, "y": y} 2025-08-14T21:16:46.4521087Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-08-14T21:16:46.4521263Z >>> batched_dot(input) 2025-08-14T21:16:46.4521422Z 2025-08-14T21:16:46.4521966Z By default, the output is batched along the first dimension. However, it can be batched 2025-08-14T21:16:46.4522237Z along any dimension by using ``out_dims`` 2025-08-14T21:16:46.4522384Z 2025-08-14T21:16:46.4522559Z >>> f = lambda x: x**2 2025-08-14T21:16:46.4522752Z >>> x = torch.randn(2, 5) 2025-08-14T21:16:46.4522978Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-08-14T21:16:46.4523155Z >>> batched_pow(x) # [5, 2] 2025-08-14T21:16:46.4523316Z 2025-08-14T21:16:46.4523862Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-08-14T21:16:46.4524026Z accept kwargs 2025-08-14T21:16:46.4524193Z 2025-08-14T21:16:46.4524374Z >>> x = torch.randn([2, 5]) 2025-08-14T21:16:46.4524548Z >>> def fn(x, scale=4.): 2025-08-14T21:16:46.4524733Z >>> return x * scale 2025-08-14T21:16:46.4524885Z >>> 2025-08-14T21:16:46.4525092Z >>> batched_pow = torch.vmap(fn) 2025-08-14T21:16:46.4525346Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-08-14T21:16:46.4525758Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-08-14T21:16:46.4525922Z 2025-08-14T21:16:46.4526087Z .. note:: 2025-08-14T21:16:46.4526498Z vmap does not provide general autobatching or handle variable-length 2025-08-14T21:16:46.4526696Z sequences out of the box. 2025-08-14T21:16:46.4526842Z 2025-08-14T21:16:46.4527312Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4527473Z 2025-08-14T21:16:46.4527647Z warnings.warn(msg) 2025-08-14T21:16:46.4527817Z 2025-08-14T21:16:46.4528212Z --- Parse Warning: 24 / 146 --- 2025-08-14T21:16:46.4529804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-08-14T21:16:46.4530310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4530742Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-08-14T21:16:46.4531102Z input(s) specified by ``argnums``. This operator can be nested to 2025-08-14T21:16:46.4531326Z compute higher-order gradients. 2025-08-14T21:16:46.4531476Z 2025-08-14T21:16:46.4531639Z Args: 2025-08-14T21:16:46.4532023Z func (Callable): A Python function that takes one or more arguments. 2025-08-14T21:16:46.4532575Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-08-14T21:16:46.4533081Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-08-14T21:16:46.4533260Z ``(output, aux)``. 2025-08-14T21:16:46.4533767Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-08-14T21:16:46.4534153Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-08-14T21:16:46.4534552Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-08-14T21:16:46.4534866Z auxiliary objects: ``(output, aux)``. Default: False. 2025-08-14T21:16:46.4535011Z 2025-08-14T21:16:46.4535170Z Returns: 2025-08-14T21:16:46.4535703Z Function to compute gradients with respect to its inputs. By default, the output of 2025-08-14T21:16:46.4536135Z the function is the gradient tensor(s) with respect to the first argument. 2025-08-14T21:16:46.4536636Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-08-14T21:16:46.4537110Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-08-14T21:16:46.4537366Z respect to each ``argnums`` value is returned. 2025-08-14T21:16:46.4537570Z 2025-08-14T21:16:46.4537764Z Example of using ``grad``: 2025-08-14T21:16:46.4537913Z 2025-08-14T21:16:46.4538145Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4538347Z >>> from torch.func import grad 2025-08-14T21:16:46.4538530Z >>> x = torch.randn([]) 2025-08-14T21:16:46.4538765Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-08-14T21:16:46.4538996Z >>> assert torch.allclose(cos_x, x.cos()) 2025-08-14T21:16:46.4539149Z >>> 2025-08-14T21:16:46.4539359Z >>> # Second-order gradients 2025-08-14T21:16:46.4539626Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-08-14T21:16:46.4539879Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-08-14T21:16:46.4540038Z 2025-08-14T21:16:46.4540501Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-08-14T21:16:46.4540658Z 2025-08-14T21:16:46.4540837Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4541059Z >>> from torch.func import grad, vmap 2025-08-14T21:16:46.4541287Z >>> batch_size, feature_size = 3, 5 2025-08-14T21:16:46.4541440Z >>> 2025-08-14T21:16:46.4541648Z >>> def model(weights, feature_vec): 2025-08-14T21:16:46.4541897Z >>> # Very simple linear model with activation 2025-08-14T21:16:46.4542101Z >>> assert feature_vec.dim() == 1 2025-08-14T21:16:46.4542334Z >>> return feature_vec.dot(weights).relu() 2025-08-14T21:16:46.4542501Z >>> 2025-08-14T21:16:46.4542746Z >>> def compute_loss(weights, example, target): 2025-08-14T21:16:46.4542968Z >>> y = model(weights, example) 2025-08-14T21:16:46.4543208Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-08-14T21:16:46.4543363Z >>> 2025-08-14T21:16:46.4543697Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-08-14T21:16:46.4543979Z >>> examples = torch.randn(batch_size, feature_size) 2025-08-14T21:16:46.4544194Z >>> targets = torch.randn(batch_size) 2025-08-14T21:16:46.4544436Z >>> inputs = (weights, examples, targets) 2025-08-14T21:16:46.4544864Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-08-14T21:16:46.4545038Z ... *inputs 2025-08-14T21:16:46.4545197Z ... ) 2025-08-14T21:16:46.4545346Z 2025-08-14T21:16:46.4545759Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-08-14T21:16:46.4545908Z 2025-08-14T21:16:46.4546090Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4546405Z >>> from torch.func import grad 2025-08-14T21:16:46.4546605Z >>> def my_loss_func(y, y_pred): 2025-08-14T21:16:46.4546835Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-08-14T21:16:46.4547054Z >>> loss = loss_per_sample.mean() 2025-08-14T21:16:46.4547285Z >>> return loss, (y_pred, loss_per_sample) 2025-08-14T21:16:46.4547440Z >>> 2025-08-14T21:16:46.4547729Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-08-14T21:16:46.4547915Z >>> y_true = torch.rand(4) 2025-08-14T21:16:46.4548172Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-08-14T21:16:46.4548360Z >>> out = fn(y_true, y_preds) 2025-08-14T21:16:46.4548805Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-08-14T21:16:46.4548961Z 2025-08-14T21:16:46.4549121Z .. note:: 2025-08-14T21:16:46.4549431Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-08-14T21:16:46.4549597Z 2025-08-14T21:16:46.4549861Z Case 1: Using ``torch.no_grad`` inside a function: 2025-08-14T21:16:46.4550016Z 2025-08-14T21:16:46.4550209Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4550372Z >>> def f(x): 2025-08-14T21:16:46.4550611Z >>> with torch.no_grad(): 2025-08-14T21:16:46.4550783Z >>> c = x ** 2 2025-08-14T21:16:46.4550998Z >>> return x - c 2025-08-14T21:16:46.4551154Z 2025-08-14T21:16:46.4551510Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-08-14T21:16:46.4551662Z 2025-08-14T21:16:46.4552008Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-08-14T21:16:46.4552160Z 2025-08-14T21:16:46.4552343Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4552543Z >>> with torch.no_grad(): 2025-08-14T21:16:46.4552719Z >>> grad(f)(x) 2025-08-14T21:16:46.4552879Z 2025-08-14T21:16:46.4553286Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-08-14T21:16:46.4553688Z outer one. This is because ``grad`` is a "function transform": its result 2025-08-14T21:16:46.4554115Z should not depend on the result of a context manager outside of ``f``. 2025-08-14T21:16:46.4554263Z 2025-08-14T21:16:46.4554416Z 2025-08-14T21:16:46.4554901Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4555045Z 2025-08-14T21:16:46.4555220Z warnings.warn(msg) 2025-08-14T21:16:46.4555384Z 2025-08-14T21:16:46.4555754Z --- Parse Warning: 25 / 146 --- 2025-08-14T21:16:46.4557604Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=397. 2025-08-14T21:16:46.4558069Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.4558395Z Register a FakeTensor implementation for this custom op. 2025-08-14T21:16:46.4558562Z 2025-08-14T21:16:46.4559018Z This is necessary to get the operator to work efficiently with torch.compile. 2025-08-14T21:16:46.4559174Z 2025-08-14T21:16:46.4559615Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-08-14T21:16:46.4560043Z specifies the behavior of this operator on Tensors that carry no data. 2025-08-14T21:16:46.4560332Z Given some input Tensors with certain properties 2025-08-14T21:16:46.4560811Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-08-14T21:16:46.4561001Z the output Tensors are. 2025-08-14T21:16:46.4561165Z 2025-08-14T21:16:46.4561618Z Please see :func:`torch.library.register_fake` for more details. 2025-08-14T21:16:46.4561768Z 2025-08-14T21:16:46.4561937Z Args: 2025-08-14T21:16:46.4562244Z fn (Callable): The function to register as the FakeTensor 2025-08-14T21:16:46.4562428Z implementation. 2025-08-14T21:16:46.4562590Z 2025-08-14T21:16:46.4562753Z Examples: 2025-08-14T21:16:46.4562927Z >>> import torch 2025-08-14T21:16:46.4563140Z >>> import numpy as np 2025-08-14T21:16:46.4563343Z >>> from torch import Tensor 2025-08-14T21:16:46.4563509Z >>> 2025-08-14T21:16:46.4563857Z >>> # Example 1: an operator without data-dependent output shape 2025-08-14T21:16:46.4564207Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-08-14T21:16:46.4564572Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-08-14T21:16:46.4564788Z >>> return (x @ weight.t()) + bias 2025-08-14T21:16:46.4564940Z >>> 2025-08-14T21:16:46.4565153Z >>> @linear.register_fake 2025-08-14T21:16:46.4565344Z >>> def _(x, weight, bias): 2025-08-14T21:16:46.4565546Z >>> assert x.dim() == 2 2025-08-14T21:16:46.4565748Z >>> assert weight.dim() == 2 2025-08-14T21:16:46.4566030Z >>> assert bias.dim() == 1 2025-08-14T21:16:46.4566317Z >>> assert x.shape[1] == weight.shape[1] 2025-08-14T21:16:46.4566552Z >>> assert weight.shape[0] == bias.shape[0] 2025-08-14T21:16:46.4566771Z >>> assert x.device == weight.device 2025-08-14T21:16:46.4567049Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-08-14T21:16:46.4567203Z >>> 2025-08-14T21:16:46.4567392Z >>> x = torch.randn(2, 2) 2025-08-14T21:16:46.4567603Z >>> weight = torch.randn(2, 2) 2025-08-14T21:16:46.4567796Z >>> bias = torch.randn(2) 2025-08-14T21:16:46.4568051Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:46.4568402Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-08-14T21:16:46.4568648Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:46.4569122Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-08-14T21:16:46.4569280Z >>> 2025-08-14T21:16:46.4569608Z >>> # Example 2: an operator with data-dependent output shape 2025-08-14T21:16:46.4569987Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-08-14T21:16:46.4570200Z >>> def nonzero(x: Tensor) -> Tensor: 2025-08-14T21:16:46.4570407Z >>> x_np = x.cpu().numpy() 2025-08-14T21:16:46.4570647Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-08-14T21:16:46.4570897Z >>> return torch.tensor(res, device=x.device) 2025-08-14T21:16:46.4571069Z >>> 2025-08-14T21:16:46.4571266Z >>> @nonzero.register_fake 2025-08-14T21:16:46.4571430Z >>> def _(x): 2025-08-14T21:16:46.4571712Z >>> # Number of nonzero-elements is data-dependent. 2025-08-14T21:16:46.4572014Z >>> # Since we cannot peek at the data in an abstract impl, 2025-08-14T21:16:46.4572312Z >>> # we use the ctx object to construct a new symint that 2025-08-14T21:16:46.4572544Z >>> # represents the data-dependent size. 2025-08-14T21:16:46.4572759Z >>> ctx = torch.library.get_ctx() 2025-08-14T21:16:46.4572979Z >>> nnz = ctx.new_dynamic_size() 2025-08-14T21:16:46.4573171Z >>> shape = [nnz, x.dim()] 2025-08-14T21:16:46.4573443Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-08-14T21:16:46.4573701Z >>> return result 2025-08-14T21:16:46.4573857Z >>> 2025-08-14T21:16:46.4574062Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-08-14T21:16:46.4574313Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:46.4574582Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-08-14T21:16:46.4574839Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-08-14T21:16:46.4575080Z >>> assert torch.allclose(out, x.nonzero()) 2025-08-14T21:16:46.4575230Z 2025-08-14T21:16:46.4575400Z 2025-08-14T21:16:46.4576293Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-08-14T21:16:46.4576376Z 2025-08-14T21:16:46.4576473Z _._ = None 2025-08-14T21:16:46.4576552Z ^ 2025-08-14T21:16:46.4576650Z warnings.warn(msg) 2025-08-14T21:16:46.4576740Z 2025-08-14T21:16:46.4576977Z --- Parse Warning: 26 / 146 --- 2025-08-14T21:16:46.4577916Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-08-14T21:16:46.4578265Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4578382Z 2025-08-14T21:16:46.4578616Z Registers a fake kernel based on the given operator profiles. This fake 2025-08-14T21:16:46.4578855Z kernel registration will override any existing fake kernel registrations. 2025-08-14T21:16:46.4578932Z 2025-08-14T21:16:46.4579146Z The input is a dictionary mapping operator names to a set of operator 2025-08-14T21:16:46.4579370Z profiles, which we will use to generate fake kernels. The operator profiles 2025-08-14T21:16:46.4579572Z are a record of the input and output tensor metadata. Based on this 2025-08-14T21:16:46.4579805Z information we will match a given input to the recorded profile, and return 2025-08-14T21:16:46.4580020Z an output with the same metadata as in the recorded profile. If a profile 2025-08-14T21:16:46.4580170Z doesn't exist then an exception will be thrown. 2025-08-14T21:16:46.4580251Z 2025-08-14T21:16:46.4580474Z The fake kernel generation is considered unsafe because it relies on the 2025-08-14T21:16:46.4580708Z rigid, pre-defined operator profiles that do not account for potential 2025-08-14T21:16:46.4580945Z variations in output behavior. Specifically, the generated kernels assume a 2025-08-14T21:16:46.4581197Z fixed relationship between input and output ranks. However, in reality, it's 2025-08-14T21:16:46.4581424Z possible that data-dependent operations may produce outputs of different 2025-08-14T21:16:46.4581635Z ranks even when given inputs of the same rank. The generated fake kernels 2025-08-14T21:16:46.4581856Z are inflexible and unable to accommodate these nuances, making them 2025-08-14T21:16:46.4581953Z potentially unsafe. 2025-08-14T21:16:46.4582031Z 2025-08-14T21:16:46.4582124Z Args: 2025-08-14T21:16:46.4582330Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-08-14T21:16:46.4582534Z name to a set of operator profiles from which we will generate fake 2025-08-14T21:16:46.4582620Z kernels. 2025-08-14T21:16:46.4582701Z 2025-08-14T21:16:46.4582798Z Examples: 2025-08-14T21:16:46.4582875Z 2025-08-14T21:16:46.4583039Z >>> # Example: Registering an op-profile from draft-export 2025-08-14T21:16:46.4583143Z >>> import torch 2025-08-14T21:16:46.4583298Z >>> from torch.export._draft_export import draft_export 2025-08-14T21:16:46.4583379Z >>> 2025-08-14T21:16:46.4583566Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-08-14T21:16:46.4583689Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-08-14T21:16:46.4583853Z >>> return x + y 2025-08-14T21:16:46.4583947Z >>> 2025-08-14T21:16:46.4584054Z >>> class M(torch.nn.Module): 2025-08-14T21:16:46.4584169Z >>> def forward(self, a, b): 2025-08-14T21:16:46.4584311Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-08-14T21:16:46.4584407Z >>> return res 2025-08-14T21:16:46.4584498Z >>> 2025-08-14T21:16:46.4584669Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-08-14T21:16:46.4584748Z >>> 2025-08-14T21:16:46.4585049Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-08-14T21:16:46.4585169Z >>> decomp = ep.run_decompositions() 2025-08-14T21:16:46.4585248Z 2025-08-14T21:16:46.4585341Z 2025-08-14T21:16:46.4585582Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4585746Z 2025-08-14T21:16:46.4585854Z warnings.warn(msg) 2025-08-14T21:16:46.4585933Z 2025-08-14T21:16:46.4586151Z --- Parse Warning: 27 / 146 --- 2025-08-14T21:16:46.4586964Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=96. 2025-08-14T21:16:46.4587264Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4587546Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2025-08-14T21:16:46.4587626Z 2025-08-14T21:16:46.4587823Z This is a more structured way of using triton kernels with PyTorch. 2025-08-14T21:16:46.4588083Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2025-08-14T21:16:46.4588324Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2025-08-14T21:16:46.4588428Z that is simpler; 2025-08-14T21:16:46.4588675Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2025-08-14T21:16:46.4588893Z want to create an operator that behaves like PyTorch built-in operators. 2025-08-14T21:16:46.4589109Z For example, you may use a ``torch.library`` wrapper API to define the 2025-08-14T21:16:46.4589316Z behavior of the triton kernel when passed a tensor subclass or under 2025-08-14T21:16:46.4589432Z a TorchDispatchMode. 2025-08-14T21:16:46.4589510Z 2025-08-14T21:16:46.4589747Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2025-08-14T21:16:46.4589859Z when the implementation 2025-08-14T21:16:46.4590067Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2025-08-14T21:16:46.4590230Z custom operators as opaque (:func:`torch.compile` and 2025-08-14T21:16:46.4590463Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2025-08-14T21:16:46.4590678Z makes the implementation visible to these subsystems, allowing them 2025-08-14T21:16:46.4590789Z to optimize the triton kernel(s). 2025-08-14T21:16:46.4590879Z 2025-08-14T21:16:46.4591061Z Note that ``fn`` must only consist of calls to PyTorch-understood 2025-08-14T21:16:46.4591289Z operators and triton kernels. Any triton kernels called inside ``fn`` 2025-08-14T21:16:46.4591472Z must be wrapped in a call to :func:`torch.library.wrap_triton`. 2025-08-14T21:16:46.4591551Z 2025-08-14T21:16:46.4591643Z Args: 2025-08-14T21:16:46.4591861Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2025-08-14T21:16:46.4592064Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2025-08-14T21:16:46.4592237Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2025-08-14T21:16:46.4592535Z To avoid name collisions, please use your project name as the namespace; 2025-08-14T21:16:46.4592748Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2025-08-14T21:16:46.4593009Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2025-08-14T21:16:46.4593236Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2025-08-14T21:16:46.4593504Z it pessimistically assumes that all inputs to the operator are being mutated. 2025-08-14T21:16:46.4593685Z schema (None | str): A schema string for the operator. If None 2025-08-14T21:16:46.4593895Z (recommended) we'll infer a schema for the operator from its type 2025-08-14T21:16:46.4594092Z annotations. We recommend letting us infer a schema unless you 2025-08-14T21:16:46.4594204Z have a specific reason not to. 2025-08-14T21:16:46.4594366Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2025-08-14T21:16:46.4594452Z 2025-08-14T21:16:46.4594542Z Example:: 2025-08-14T21:16:46.4594636Z 2025-08-14T21:16:46.4594770Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:46.4594865Z >>> import torch 2025-08-14T21:16:46.4595028Z >>> from torch.library import triton_op, wrap_triton 2025-08-14T21:16:46.4595136Z >>> 2025-08-14T21:16:46.4595231Z >>> import triton 2025-08-14T21:16:46.4595384Z >>> from triton import language as tl 2025-08-14T21:16:46.4595466Z >>> 2025-08-14T21:16:46.4595565Z >>> @triton.jit 2025-08-14T21:16:46.4595656Z >>> def add_kernel( 2025-08-14T21:16:46.4595745Z >>> in_ptr0, 2025-08-14T21:16:46.4595843Z >>> in_ptr1, 2025-08-14T21:16:46.4595929Z >>> out_ptr, 2025-08-14T21:16:46.4596017Z >>> n_elements, 2025-08-14T21:16:46.4596142Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-14T21:16:46.4596226Z >>> ): 2025-08-14T21:16:46.4596337Z >>> pid = tl.program_id(axis=0) 2025-08-14T21:16:46.4596459Z >>> block_start = pid * BLOCK_SIZE 2025-08-14T21:16:46.4596606Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-14T21:16:46.4596726Z >>> mask = offsets < n_elements 2025-08-14T21:16:46.4596854Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-14T21:16:46.4596981Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-14T21:16:46.4597092Z >>> output = x + y 2025-08-14T21:16:46.4597237Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-14T21:16:46.4597319Z >>> 2025-08-14T21:16:46.4597460Z >>> @triton_op("mylib::add", mutates_args={}) 2025-08-14T21:16:46.4597636Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2025-08-14T21:16:46.4597748Z >>> output = torch.empty_like(x) 2025-08-14T21:16:46.4597877Z >>> n_elements = output.numel() 2025-08-14T21:16:46.4597960Z >>> 2025-08-14T21:16:46.4598070Z >>> def grid(meta): 2025-08-14T21:16:46.4598237Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-14T21:16:46.4598319Z >>> 2025-08-14T21:16:46.4598514Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2025-08-14T21:16:46.4598700Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2025-08-14T21:16:46.4598795Z >>> return output 2025-08-14T21:16:46.4598893Z >>> 2025-08-14T21:16:46.4598987Z >>> @torch.compile 2025-08-14T21:16:46.4599079Z >>> def f(x, y): 2025-08-14T21:16:46.4599190Z >>> return add(x, y) 2025-08-14T21:16:46.4599271Z >>> 2025-08-14T21:16:46.4599400Z >>> x = torch.randn(3, device="cuda") 2025-08-14T21:16:46.4599589Z >>> y = torch.randn(3, device="cuda") 2025-08-14T21:16:46.4599671Z >>> 2025-08-14T21:16:46.4599775Z >>> z = f(x, y) 2025-08-14T21:16:46.4599891Z >>> assert torch.allclose(z, x + y) 2025-08-14T21:16:46.4599973Z 2025-08-14T21:16:46.4600066Z 2025-08-14T21:16:46.4600306Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4600388Z 2025-08-14T21:16:46.4600495Z warnings.warn(msg) 2025-08-14T21:16:46.4600575Z 2025-08-14T21:16:46.4600780Z --- Parse Warning: 28 / 146 --- 2025-08-14T21:16:46.4601620Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=296. 2025-08-14T21:16:46.4601871Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4602072Z Allows capture of a triton kernel into a graph via make_fx or 2025-08-14T21:16:46.4602178Z non-strict ``torch.export``. 2025-08-14T21:16:46.4602254Z 2025-08-14T21:16:46.4602445Z These technologies perform Dispatcher-based tracing (via 2025-08-14T21:16:46.4602637Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2025-08-14T21:16:46.4602857Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2025-08-14T21:16:46.4602983Z can actually be traced into a graph. 2025-08-14T21:16:46.4603087Z 2025-08-14T21:16:46.4603300Z Please use this API together with :func:`torch.library.triton_op`. 2025-08-14T21:16:46.4603377Z 2025-08-14T21:16:46.4603463Z Examples: 2025-08-14T21:16:46.4603551Z 2025-08-14T21:16:46.4603646Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4603736Z >>> import torch 2025-08-14T21:16:46.4603839Z >>> import triton 2025-08-14T21:16:46.4603953Z >>> from triton import language as tl 2025-08-14T21:16:46.4604131Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-08-14T21:16:46.4604271Z >>> from torch.library import wrap_triton 2025-08-14T21:16:46.4604351Z >>> 2025-08-14T21:16:46.4604454Z >>> @triton.jit 2025-08-14T21:16:46.4604545Z >>> def add_kernel( 2025-08-14T21:16:46.4604635Z >>> in_ptr0, 2025-08-14T21:16:46.4604735Z >>> in_ptr1, 2025-08-14T21:16:46.4604823Z >>> out_ptr, 2025-08-14T21:16:46.4604911Z >>> n_elements, 2025-08-14T21:16:46.4605036Z >>> BLOCK_SIZE: "tl.constexpr", 2025-08-14T21:16:46.4605116Z >>> ): 2025-08-14T21:16:46.4605226Z >>> pid = tl.program_id(axis=0) 2025-08-14T21:16:46.4605347Z >>> block_start = pid * BLOCK_SIZE 2025-08-14T21:16:46.4605492Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-08-14T21:16:46.4605596Z >>> mask = offsets < n_elements 2025-08-14T21:16:46.4605742Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-08-14T21:16:46.4605866Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-08-14T21:16:46.4605974Z >>> output = x + y 2025-08-14T21:16:46.4606115Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-08-14T21:16:46.4606198Z >>> 2025-08-14T21:16:46.4606301Z >>> def add(x, y): 2025-08-14T21:16:46.4606418Z >>> output = torch.empty_like(x) 2025-08-14T21:16:46.4606525Z >>> n_elements = output.numel() 2025-08-14T21:16:46.4606618Z >>> 2025-08-14T21:16:46.4606721Z >>> def grid_fn(meta): 2025-08-14T21:16:46.4606884Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-08-14T21:16:46.4606977Z >>> 2025-08-14T21:16:46.4607165Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2025-08-14T21:16:46.4607272Z >>> return output 2025-08-14T21:16:46.4607405Z >>> 2025-08-14T21:16:46.4607518Z >>> x = torch.randn(3, device="cuda") 2025-08-14T21:16:46.4607640Z >>> y = torch.randn(3, device="cuda") 2025-08-14T21:16:46.4607738Z >>> gm = make_fx(add)(x, y) 2025-08-14T21:16:46.4607830Z >>> print(gm.code) 2025-08-14T21:16:46.4607952Z >>> # def forward(self, x_1, y_1): 2025-08-14T21:16:46.4608177Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2025-08-14T21:16:46.4608409Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2025-08-14T21:16:46.4608548Z >>> # kernel_idx = 0, constant_args_idx = 0, 2025-08-14T21:16:46.4608659Z >>> # grid = [(1, 1, 1)], kwargs = { 2025-08-14T21:16:46.4608822Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2025-08-14T21:16:46.4608946Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2025-08-14T21:16:46.4609033Z >>> # }) 2025-08-14T21:16:46.4609146Z >>> # return empty_like 2025-08-14T21:16:46.4609225Z 2025-08-14T21:16:46.4609305Z 2025-08-14T21:16:46.4609563Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4609667Z 2025-08-14T21:16:46.4609761Z warnings.warn(msg) 2025-08-14T21:16:46.4609878Z 2025-08-14T21:16:46.4610076Z --- Parse Warning: 29 / 146 --- 2025-08-14T21:16:46.4610962Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=286. 2025-08-14T21:16:46.4611215Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4611293Z 2025-08-14T21:16:46.4611525Z Test if two objects are equal, and print an error message if test fails. 2025-08-14T21:16:46.4611603Z 2025-08-14T21:16:46.4611746Z The test is performed with ``actual == desired``. 2025-08-14T21:16:46.4611839Z 2025-08-14T21:16:46.4611926Z Parameters 2025-08-14T21:16:46.4612026Z ---------- 2025-08-14T21:16:46.4612117Z test_string : str 2025-08-14T21:16:46.4612243Z The message supplied to AssertionError. 2025-08-14T21:16:46.4612342Z actual : object 2025-08-14T21:16:46.4612491Z The object to test for equality against `desired`. 2025-08-14T21:16:46.4612580Z desired : object 2025-08-14T21:16:46.4612689Z The expected result. 2025-08-14T21:16:46.4612765Z 2025-08-14T21:16:46.4612850Z Examples 2025-08-14T21:16:46.4612945Z -------- 2025-08-14T21:16:46.4613055Z >>> np.testing.print_assert_equal( 2025-08-14T21:16:46.4613167Z ... "Test XYZ of func xyz", [0, 1], [0, 1] 2025-08-14T21:16:46.4613274Z ... ) # doctest: +SKIP 2025-08-14T21:16:46.4613383Z >>> np.testing.print_assert_equal( 2025-08-14T21:16:46.4613509Z ... "Test XYZ of func xyz", [0, 1], [0, 2] 2025-08-14T21:16:46.4613600Z ... ) # doctest: +SKIP 2025-08-14T21:16:46.4613706Z Traceback (most recent call last): 2025-08-14T21:16:46.4613797Z ... 2025-08-14T21:16:46.4613921Z AssertionError: Test XYZ of func xyz failed 2025-08-14T21:16:46.4614005Z ACTUAL: 2025-08-14T21:16:46.4614100Z [0, 1] 2025-08-14T21:16:46.4614179Z DESIRED: 2025-08-14T21:16:46.4614262Z [0, 2] 2025-08-14T21:16:46.4614350Z 2025-08-14T21:16:46.4614427Z 2025-08-14T21:16:46.4614668Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4614756Z 2025-08-14T21:16:46.4614849Z warnings.warn(msg) 2025-08-14T21:16:46.4614925Z 2025-08-14T21:16:46.4615121Z --- Parse Warning: 30 / 146 --- 2025-08-14T21:16:46.4616054Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=331. 2025-08-14T21:16:46.4616315Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4616393Z 2025-08-14T21:16:46.4616589Z Raises an AssertionError if two items are not equal up to desired 2025-08-14T21:16:46.4616688Z precision. 2025-08-14T21:16:46.4616766Z 2025-08-14T21:16:46.4616937Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-14T21:16:46.4617121Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-14T21:16:46.4617302Z instead of this function for more consistent floating point 2025-08-14T21:16:46.4617405Z comparisons. 2025-08-14T21:16:46.4617482Z 2025-08-14T21:16:46.4617686Z The test verifies that the elements of `actual` and `desired` satisfy. 2025-08-14T21:16:46.4617775Z 2025-08-14T21:16:46.4617934Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2025-08-14T21:16:46.4618011Z 2025-08-14T21:16:46.4618240Z That is a looser test than originally documented, but agrees with what the 2025-08-14T21:16:46.4618464Z actual implementation in `assert_array_almost_equal` did up to rounding 2025-08-14T21:16:46.4621292Z vagaries. An exception is raised at conflicting values. For ndarrays this 2025-08-14T21:16:46.4621528Z delegates to assert_array_almost_equal 2025-08-14T21:16:46.4621642Z 2025-08-14T21:16:46.4621730Z Parameters 2025-08-14T21:16:46.4621827Z ---------- 2025-08-14T21:16:46.4621918Z actual : array_like 2025-08-14T21:16:46.4622021Z The object to check. 2025-08-14T21:16:46.4622124Z desired : array_like 2025-08-14T21:16:46.4622219Z The expected object. 2025-08-14T21:16:46.4622333Z decimal : int, optional 2025-08-14T21:16:46.4622446Z Desired precision, default is 7. 2025-08-14T21:16:46.4622542Z err_msg : str, optional 2025-08-14T21:16:46.4622712Z The error message to be printed in case of failure. 2025-08-14T21:16:46.4622808Z verbose : bool, optional 2025-08-14T21:16:46.4623007Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:46.4623097Z 2025-08-14T21:16:46.4623178Z Raises 2025-08-14T21:16:46.4623263Z ------ 2025-08-14T21:16:46.4623367Z AssertionError 2025-08-14T21:16:46.4623588Z If actual and desired are not equal up to specified precision. 2025-08-14T21:16:46.4623669Z 2025-08-14T21:16:46.4623764Z See Also 2025-08-14T21:16:46.4623847Z -------- 2025-08-14T21:16:46.4624075Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:46.4624212Z relative and/or absolute precision. 2025-08-14T21:16:46.4624410Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:46.4624488Z 2025-08-14T21:16:46.4624580Z Examples 2025-08-14T21:16:46.4624673Z -------- 2025-08-14T21:16:46.4624848Z >>> from torch._numpy.testing import assert_almost_equal 2025-08-14T21:16:46.4624978Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2025-08-14T21:16:46.4625149Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2025-08-14T21:16:46.4625273Z Traceback (most recent call last): 2025-08-14T21:16:46.4625357Z ... 2025-08-14T21:16:46.4625451Z AssertionError: 2025-08-14T21:16:46.4625588Z Arrays are not almost equal to 10 decimals 2025-08-14T21:16:46.4625790Z ACTUAL: 2.3333333333333 2025-08-14T21:16:46.4625888Z DESIRED: 2.33333334 2025-08-14T21:16:46.4625981Z 2025-08-14T21:16:46.4626076Z >>> assert_almost_equal( 2025-08-14T21:16:46.4626270Z ... np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9 2025-08-14T21:16:46.4626371Z ... ) 2025-08-14T21:16:46.4626482Z Traceback (most recent call last): 2025-08-14T21:16:46.4626578Z ... 2025-08-14T21:16:46.4626669Z AssertionError: 2025-08-14T21:16:46.4626833Z Arrays are not almost equal to 9 decimals 2025-08-14T21:16:46.4626935Z 2025-08-14T21:16:46.4627041Z Mismatched elements: 1 / 2 (50%) 2025-08-14T21:16:46.4627168Z Max absolute difference: 6.666699636781459e-09 2025-08-14T21:16:46.4627311Z Max relative difference: 2.8571569790287484e-09 2025-08-14T21:16:46.4627451Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-14T21:16:46.4627587Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-08-14T21:16:46.4627684Z 2025-08-14T21:16:46.4627763Z 2025-08-14T21:16:46.4628023Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4628107Z 2025-08-14T21:16:46.4628202Z warnings.warn(msg) 2025-08-14T21:16:46.4628295Z 2025-08-14T21:16:46.4628537Z --- Parse Warning: 31 / 146 --- 2025-08-14T21:16:46.4629426Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=457. 2025-08-14T21:16:46.4629691Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4629768Z 2025-08-14T21:16:46.4629981Z Raises an AssertionError if two items are not equal up to significant 2025-08-14T21:16:46.4630189Z digits. 2025-08-14T21:16:46.4630267Z 2025-08-14T21:16:46.4630482Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-14T21:16:46.4630662Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-14T21:16:46.4630842Z instead of this function for more consistent floating point 2025-08-14T21:16:46.4630951Z comparisons. 2025-08-14T21:16:46.4631031Z 2025-08-14T21:16:46.4631210Z Given two numbers, check that they are approximately equal. 2025-08-14T21:16:46.4631434Z Approximately equal is defined as the number of significant digits 2025-08-14T21:16:46.4631526Z that agree. 2025-08-14T21:16:46.4631603Z 2025-08-14T21:16:46.4631701Z Parameters 2025-08-14T21:16:46.4631785Z ---------- 2025-08-14T21:16:46.4631886Z actual : scalar 2025-08-14T21:16:46.4631981Z The object to check. 2025-08-14T21:16:46.4632067Z desired : scalar 2025-08-14T21:16:46.4632174Z The expected object. 2025-08-14T21:16:46.4632276Z significant : int, optional 2025-08-14T21:16:46.4632387Z Desired precision, default is 7. 2025-08-14T21:16:46.4632491Z err_msg : str, optional 2025-08-14T21:16:46.4632638Z The error message to be printed in case of failure. 2025-08-14T21:16:46.4632733Z verbose : bool, optional 2025-08-14T21:16:46.4632938Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:46.4633016Z 2025-08-14T21:16:46.4633096Z Raises 2025-08-14T21:16:46.4633187Z ------ 2025-08-14T21:16:46.4633275Z AssertionError 2025-08-14T21:16:46.4633474Z If actual and desired are not equal up to specified precision. 2025-08-14T21:16:46.4633554Z 2025-08-14T21:16:46.4633633Z See Also 2025-08-14T21:16:46.4633731Z -------- 2025-08-14T21:16:46.4633957Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:46.4634080Z relative and/or absolute precision. 2025-08-14T21:16:46.4634297Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:46.4634377Z 2025-08-14T21:16:46.4634461Z Examples 2025-08-14T21:16:46.4634559Z -------- 2025-08-14T21:16:46.4634671Z >>> np.testing.assert_approx_equal( 2025-08-14T21:16:46.4634776Z ... 0.12345677777777e-20, 0.1234567e-20 2025-08-14T21:16:46.4634881Z ... ) # doctest: +SKIP 2025-08-14T21:16:46.4634992Z >>> np.testing.assert_approx_equal( 2025-08-14T21:16:46.4635092Z ... 0.12345670e-20, 2025-08-14T21:16:46.4635199Z ... 0.12345671e-20, # doctest: +SKIP 2025-08-14T21:16:46.4635318Z ... significant=8, 2025-08-14T21:16:46.4635412Z ... ) 2025-08-14T21:16:46.4635520Z >>> np.testing.assert_approx_equal( 2025-08-14T21:16:46.4635606Z ... 0.12345670e-20, 2025-08-14T21:16:46.4635723Z ... 0.12345672e-20, # doctest: +SKIP 2025-08-14T21:16:46.4635817Z ... significant=8, 2025-08-14T21:16:46.4635899Z ... ) 2025-08-14T21:16:46.4636023Z Traceback (most recent call last): 2025-08-14T21:16:46.4636105Z ... 2025-08-14T21:16:46.4636197Z AssertionError: 2025-08-14T21:16:46.4636338Z Items are not equal to 8 significant digits: 2025-08-14T21:16:46.4636429Z ACTUAL: 1.234567e-21 2025-08-14T21:16:46.4636531Z DESIRED: 1.2345672e-21 2025-08-14T21:16:46.4636608Z 2025-08-14T21:16:46.4636765Z the evaluated condition that raises the exception is 2025-08-14T21:16:46.4636855Z 2025-08-14T21:16:46.4637038Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1) 2025-08-14T21:16:46.4637118Z True 2025-08-14T21:16:46.4637209Z 2025-08-14T21:16:46.4637289Z 2025-08-14T21:16:46.4637530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4637622Z 2025-08-14T21:16:46.4637716Z warnings.warn(msg) 2025-08-14T21:16:46.4637794Z 2025-08-14T21:16:46.4638012Z --- Parse Warning: 32 / 146 --- 2025-08-14T21:16:46.4638969Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=744. 2025-08-14T21:16:46.4639267Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4639345Z 2025-08-14T21:16:46.4639545Z Raises an AssertionError if two array_like objects are not equal. 2025-08-14T21:16:46.4639638Z 2025-08-14T21:16:46.4639834Z Given two array_like objects, check that the shape is equal and all 2025-08-14T21:16:46.4640051Z elements of these objects are equal (but see the Notes for the special 2025-08-14T21:16:46.4640257Z handling of a scalar). An exception is raised at shape mismatch or 2025-08-14T21:16:46.4640471Z conflicting values. In contrast to the standard usage in numpy, NaNs 2025-08-14T21:16:46.4640697Z are compared like numbers, no assertion is raised if both objects have 2025-08-14T21:16:46.4640806Z NaNs in the same positions. 2025-08-14T21:16:46.4640887Z 2025-08-14T21:16:46.4641118Z The usual caution for verifying equality with floating point numbers is 2025-08-14T21:16:46.4641200Z advised. 2025-08-14T21:16:46.4641279Z 2025-08-14T21:16:46.4641378Z Parameters 2025-08-14T21:16:46.4641461Z ---------- 2025-08-14T21:16:46.4641545Z x : array_like 2025-08-14T21:16:46.4641661Z The actual object to check. 2025-08-14T21:16:46.4641746Z y : array_like 2025-08-14T21:16:46.4641849Z The desired, expected object. 2025-08-14T21:16:46.4641953Z err_msg : str, optional 2025-08-14T21:16:46.4642105Z The error message to be printed in case of failure. 2025-08-14T21:16:46.4642214Z verbose : bool, optional 2025-08-14T21:16:46.4642408Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:46.4642501Z strict : bool, optional 2025-08-14T21:16:46.4642708Z If True, raise an AssertionError when either the shape or the data 2025-08-14T21:16:46.4642878Z type of the array_like objects does not match. The special 2025-08-14T21:16:46.4643071Z handling for scalars mentioned in the Notes section is disabled. 2025-08-14T21:16:46.4643159Z 2025-08-14T21:16:46.4643240Z Raises 2025-08-14T21:16:46.4643319Z ------ 2025-08-14T21:16:46.4643421Z AssertionError 2025-08-14T21:16:46.4643549Z If actual and desired objects are not equal. 2025-08-14T21:16:46.4643627Z 2025-08-14T21:16:46.4643721Z See Also 2025-08-14T21:16:46.4643803Z -------- 2025-08-14T21:16:46.4644071Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:46.4644198Z relative and/or absolute precision. 2025-08-14T21:16:46.4644396Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:46.4644484Z 2025-08-14T21:16:46.4644563Z Notes 2025-08-14T21:16:46.4644646Z ----- 2025-08-14T21:16:46.4644839Z When one of `x` and `y` is a scalar and the other is array_like, the 2025-08-14T21:16:46.4645053Z function checks that each element of the array_like object is equal to 2025-08-14T21:16:46.4645267Z the scalar. This behaviour can be disabled with the `strict` parameter. 2025-08-14T21:16:46.4645356Z 2025-08-14T21:16:46.4645437Z Examples 2025-08-14T21:16:46.4645529Z -------- 2025-08-14T21:16:46.4645659Z The first assert does not raise an exception: 2025-08-14T21:16:46.4645738Z 2025-08-14T21:16:46.4645859Z >>> np.testing.assert_array_equal( 2025-08-14T21:16:46.4646000Z ... [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan] 2025-08-14T21:16:46.4646080Z ... ) 2025-08-14T21:16:46.4646169Z 2025-08-14T21:16:46.4646385Z Use `assert_allclose` or one of the nulp (number of floating point values) 2025-08-14T21:16:46.4646493Z functions for these cases instead: 2025-08-14T21:16:46.4646583Z 2025-08-14T21:16:46.4646747Z >>> np.testing.assert_allclose( 2025-08-14T21:16:46.4646938Z ... [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0 2025-08-14T21:16:46.4647057Z ... ) 2025-08-14T21:16:46.4647139Z 2025-08-14T21:16:46.4647351Z As mentioned in the Notes section, `assert_array_equal` has special 2025-08-14T21:16:46.4647566Z handling for scalars. Here the test checks that each value in `x` is 3: 2025-08-14T21:16:46.4647647Z 2025-08-14T21:16:46.4647764Z >>> x = np.full((2, 5), fill_value=3) 2025-08-14T21:16:46.4647877Z >>> np.testing.assert_array_equal(x, 3) 2025-08-14T21:16:46.4647955Z 2025-08-14T21:16:46.4648179Z Use `strict` to raise an AssertionError when comparing a scalar with an 2025-08-14T21:16:46.4648259Z array: 2025-08-14T21:16:46.4648335Z 2025-08-14T21:16:46.4648493Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2025-08-14T21:16:46.4648603Z Traceback (most recent call last): 2025-08-14T21:16:46.4648685Z ... 2025-08-14T21:16:46.4648790Z AssertionError: 2025-08-14T21:16:46.4648881Z Arrays are not equal 2025-08-14T21:16:46.4648981Z 2025-08-14T21:16:46.4649077Z (shapes (2, 5), () mismatch) 2025-08-14T21:16:46.4649180Z x: torch.ndarray([[3, 3, 3, 3, 3], 2025-08-14T21:16:46.4649281Z [3, 3, 3, 3, 3]]) 2025-08-14T21:16:46.4649372Z y: torch.ndarray(3) 2025-08-14T21:16:46.4649448Z 2025-08-14T21:16:46.4649662Z The `strict` parameter also ensures that the array data types match: 2025-08-14T21:16:46.4649740Z 2025-08-14T21:16:46.4649835Z >>> x = np.array([2, 2, 2]) 2025-08-14T21:16:46.4649976Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32) 2025-08-14T21:16:46.4650121Z >>> np.testing.assert_array_equal(x, y, strict=True) 2025-08-14T21:16:46.4650229Z Traceback (most recent call last): 2025-08-14T21:16:46.4650324Z ... 2025-08-14T21:16:46.4650416Z AssertionError: 2025-08-14T21:16:46.4650522Z Arrays are not equal 2025-08-14T21:16:46.4650610Z 2025-08-14T21:16:46.4650753Z (dtypes dtype("int64"), dtype("float32") mismatch) 2025-08-14T21:16:46.4650871Z x: torch.ndarray([2, 2, 2]) 2025-08-14T21:16:46.4650973Z y: torch.ndarray([2., 2., 2.]) 2025-08-14T21:16:46.4651051Z 2025-08-14T21:16:46.4651307Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4651385Z 2025-08-14T21:16:46.4651479Z warnings.warn(msg) 2025-08-14T21:16:46.4651575Z 2025-08-14T21:16:46.4651775Z --- Parse Warning: 33 / 146 --- 2025-08-14T21:16:46.4652726Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=851. 2025-08-14T21:16:46.4652982Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4653061Z 2025-08-14T21:16:46.4653290Z Raises an AssertionError if two objects are not equal up to desired 2025-08-14T21:16:46.4653381Z precision. 2025-08-14T21:16:46.4653459Z 2025-08-14T21:16:46.4653646Z .. note:: It is recommended to use one of `assert_allclose`, 2025-08-14T21:16:46.4653821Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-08-14T21:16:46.4654003Z instead of this function for more consistent floating point 2025-08-14T21:16:46.4654113Z comparisons. 2025-08-14T21:16:46.4654191Z 2025-08-14T21:16:46.4654433Z The test verifies identical shapes and that the elements of ``actual`` and 2025-08-14T21:16:46.4654528Z ``desired`` satisfy. 2025-08-14T21:16:46.4654604Z 2025-08-14T21:16:46.4654751Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2025-08-14T21:16:46.4654827Z 2025-08-14T21:16:46.4655041Z That is a looser test than originally documented, but agrees with what the 2025-08-14T21:16:46.4655329Z actual implementation did up to rounding vagaries. An exception is raised 2025-08-14T21:16:46.4655579Z at shape mismatch or conflicting values. In contrast to the standard usage 2025-08-14T21:16:46.4655816Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2025-08-14T21:16:46.4655948Z objects have NaNs in the same positions. 2025-08-14T21:16:46.4656027Z 2025-08-14T21:16:46.4656129Z Parameters 2025-08-14T21:16:46.4656212Z ---------- 2025-08-14T21:16:46.4656298Z x : array_like 2025-08-14T21:16:46.4656414Z The actual object to check. 2025-08-14T21:16:46.4656498Z y : array_like 2025-08-14T21:16:46.4656608Z The desired, expected object. 2025-08-14T21:16:46.4656719Z decimal : int, optional 2025-08-14T21:16:46.4656829Z Desired precision, default is 6. 2025-08-14T21:16:46.4656925Z err_msg : str, optional 2025-08-14T21:16:46.4657087Z The error message to be printed in case of failure. 2025-08-14T21:16:46.4657187Z verbose : bool, optional 2025-08-14T21:16:46.4657397Z If True, the conflicting values are appended to the error message. 2025-08-14T21:16:46.4657476Z 2025-08-14T21:16:46.4657555Z Raises 2025-08-14T21:16:46.4657649Z ------ 2025-08-14T21:16:46.4657737Z AssertionError 2025-08-14T21:16:46.4657927Z If actual and desired are not equal up to specified precision. 2025-08-14T21:16:46.4658014Z 2025-08-14T21:16:46.4658096Z See Also 2025-08-14T21:16:46.4658176Z -------- 2025-08-14T21:16:46.4658416Z assert_allclose: Compare two array_like objects for equality with desired 2025-08-14T21:16:46.4658540Z relative and/or absolute precision. 2025-08-14T21:16:46.4658742Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-08-14T21:16:46.4658832Z 2025-08-14T21:16:46.4658914Z Examples 2025-08-14T21:16:46.4658995Z -------- 2025-08-14T21:16:46.4659136Z the first assert does not raise an exception 2025-08-14T21:16:46.4659215Z 2025-08-14T21:16:46.4659473Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan]) 2025-08-14T21:16:46.4659555Z 2025-08-14T21:16:46.4659673Z >>> np.testing.assert_array_almost_equal( 2025-08-14T21:16:46.4659833Z ... [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5 2025-08-14T21:16:46.4659912Z ... ) 2025-08-14T21:16:46.4660021Z Traceback (most recent call last): 2025-08-14T21:16:46.4660113Z ... 2025-08-14T21:16:46.4660202Z AssertionError: 2025-08-14T21:16:46.4660319Z Arrays are not almost equal to 5 decimals 2025-08-14T21:16:46.4660417Z 2025-08-14T21:16:46.4660522Z Mismatched elements: 1 / 3 (33.3%) 2025-08-14T21:16:46.4660685Z Max absolute difference: 5.999999999994898e-05 2025-08-14T21:16:46.4660812Z Max relative difference: 2.5713661239633743e-05 2025-08-14T21:16:46.4660969Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-14T21:16:46.4661135Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2025-08-14T21:16:46.4661218Z 2025-08-14T21:16:46.4661336Z >>> np.testing.assert_array_almost_equal( 2025-08-14T21:16:46.4661480Z ... [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5 2025-08-14T21:16:46.4661559Z ... ) 2025-08-14T21:16:46.4661666Z Traceback (most recent call last): 2025-08-14T21:16:46.4661758Z ... 2025-08-14T21:16:46.4661848Z AssertionError: 2025-08-14T21:16:46.4661962Z Arrays are not almost equal to 5 decimals 2025-08-14T21:16:46.4662059Z 2025-08-14T21:16:46.4662163Z x and y nan location mismatch: 2025-08-14T21:16:46.4662328Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-08-14T21:16:46.4662479Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2025-08-14T21:16:46.4662556Z 2025-08-14T21:16:46.4662646Z 2025-08-14T21:16:46.4662890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4662967Z 2025-08-14T21:16:46.4663102Z warnings.warn(msg) 2025-08-14T21:16:46.4663210Z 2025-08-14T21:16:46.4663420Z --- Parse Warning: 34 / 146 --- 2025-08-14T21:16:46.4664372Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1848. 2025-08-14T21:16:46.4664624Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4664844Z Context manager that resets warning registry for catching warnings 2025-08-14T21:16:46.4664924Z 2025-08-14T21:16:46.4665159Z Warnings can be slippery, because, whenever a warning is triggered, Python 2025-08-14T21:16:46.4665391Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2025-08-14T21:16:46.4665617Z it impossible to retrigger the warning in this module, whatever you put in 2025-08-14T21:16:46.4665941Z the warnings filters. This context manager accepts a sequence of `modules` 2025-08-14T21:16:46.4666100Z as a keyword argument to its constructor and: 2025-08-14T21:16:46.4666181Z 2025-08-14T21:16:46.4666414Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2025-08-14T21:16:46.4666499Z on entry; 2025-08-14T21:16:46.4666681Z * resets ``__warningregistry__`` to its previous state on exit. 2025-08-14T21:16:46.4666774Z 2025-08-14T21:16:46.4666989Z This makes it possible to trigger any warning afresh inside the context 2025-08-14T21:16:46.4667169Z manager without disturbing the state of warnings outside. 2025-08-14T21:16:46.4667263Z 2025-08-14T21:16:46.4667486Z For compatibility with Python 3.0, please consider all arguments to be 2025-08-14T21:16:46.4667579Z keyword-only. 2025-08-14T21:16:46.4667671Z 2025-08-14T21:16:46.4667757Z Parameters 2025-08-14T21:16:46.4667854Z ---------- 2025-08-14T21:16:46.4667956Z record : bool, optional 2025-08-14T21:16:46.4668136Z Specifies whether warnings should be captured by a custom 2025-08-14T21:16:46.4668374Z implementation of ``warnings.showwarning()`` and be appended to a list 2025-08-14T21:16:46.4668570Z returned by the context manager. Otherwise None is returned by the 2025-08-14T21:16:46.4668783Z context manager. The objects appended to the list are arguments whose 2025-08-14T21:16:46.4668957Z attributes mirror the arguments to ``showwarning()``. 2025-08-14T21:16:46.4669060Z modules : sequence, optional 2025-08-14T21:16:46.4669322Z Sequence of modules for which to reset warnings registry on entry and 2025-08-14T21:16:46.4669507Z restore on exit. To work correctly, all 'ignore' filters should 2025-08-14T21:16:46.4669615Z filter by one of these modules. 2025-08-14T21:16:46.4669705Z 2025-08-14T21:16:46.4669787Z Examples 2025-08-14T21:16:46.4669873Z -------- 2025-08-14T21:16:46.4669982Z >>> import warnings 2025-08-14T21:16:46.4670159Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2025-08-14T21:16:46.4670275Z ... modules=[np.core.fromnumeric] 2025-08-14T21:16:46.4670367Z ... ): 2025-08-14T21:16:46.4670490Z ... warnings.simplefilter("always") 2025-08-14T21:16:46.4670705Z ... warnings.filterwarnings("ignore", module="np.core.fromnumeric") 2025-08-14T21:16:46.4670882Z ... # do something that raises a warning but ignore those in 2025-08-14T21:16:46.4670984Z ... # np.core.fromnumeric 2025-08-14T21:16:46.4671077Z 2025-08-14T21:16:46.4671315Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4671392Z 2025-08-14T21:16:46.4671498Z warnings.warn(msg) 2025-08-14T21:16:46.4671575Z 2025-08-14T21:16:46.4671785Z --- Parse Warning: 35 / 146 --- 2025-08-14T21:16:46.4672731Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354. 2025-08-14T21:16:46.4673008Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4673220Z Applies a 1D convolution over a quantized input signal composed of 2025-08-14T21:16:46.4673330Z several quantized input planes. 2025-08-14T21:16:46.4673411Z 2025-08-14T21:16:46.4673626Z For details on input arguments, parameters, and implementation see 2025-08-14T21:16:46.4673731Z :class:`~torch.nn.Conv1d`. 2025-08-14T21:16:46.4673808Z 2025-08-14T21:16:46.4673910Z .. note:: 2025-08-14T21:16:46.4674099Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2025-08-14T21:16:46.4674175Z 2025-08-14T21:16:46.4674270Z .. note:: 2025-08-14T21:16:46.4674445Z Only `torch.quint8` is supported for the input data type. 2025-08-14T21:16:46.4674540Z 2025-08-14T21:16:46.4674618Z 2025-08-14T21:16:46.4674707Z Attributes: 2025-08-14T21:16:46.4674923Z weight (Tensor): packed tensor derived from the learnable weight 2025-08-14T21:16:46.4675023Z parameter. 2025-08-14T21:16:46.4675163Z scale (Tensor): scalar for the output scale 2025-08-14T21:16:46.4675337Z zero_point (Tensor): scalar for the output zero point 2025-08-14T21:16:46.4675416Z 2025-08-14T21:16:46.4675567Z See :class:`~torch.nn.Conv1d` for other attributes. 2025-08-14T21:16:46.4675659Z 2025-08-14T21:16:46.4675748Z Examples:: 2025-08-14T21:16:46.4675829Z 2025-08-14T21:16:46.4676176Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2025-08-14T21:16:46.4676310Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2025-08-14T21:16:46.4676445Z >>> input = torch.randn(20, 16, 100) 2025-08-14T21:16:46.4676551Z >>> # quantize input to quint8 2025-08-14T21:16:46.4676650Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4676866Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2025-08-14T21:16:46.4676993Z ... dtype=torch.quint8) 2025-08-14T21:16:46.4677093Z >>> output = m(q_input) 2025-08-14T21:16:46.4677184Z 2025-08-14T21:16:46.4677264Z 2025-08-14T21:16:46.4677507Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4677600Z 2025-08-14T21:16:46.4677769Z warnings.warn(msg) 2025-08-14T21:16:46.4677876Z 2025-08-14T21:16:46.4678078Z --- Parse Warning: 36 / 146 --- 2025-08-14T21:16:46.4678933Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12. 2025-08-14T21:16:46.4679203Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4679331Z A quantized long short-term memory (LSTM). 2025-08-14T21:16:46.4679411Z 2025-08-14T21:16:46.4679693Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2025-08-14T21:16:46.4679773Z 2025-08-14T21:16:46.4679878Z Attributes: 2025-08-14T21:16:46.4679998Z layers : instances of the `_LSTMLayer` 2025-08-14T21:16:46.4680079Z 2025-08-14T21:16:46.4680180Z .. note:: 2025-08-14T21:16:46.4680387Z To access the weights and biases, you need to access them per layer. 2025-08-14T21:16:46.4680561Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2025-08-14T21:16:46.4680654Z 2025-08-14T21:16:46.4680743Z Examples:: 2025-08-14T21:16:46.4680842Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4681053Z >>> custom_module_config = { 2025-08-14T21:16:46.4681193Z ... 'float_to_observed_custom_module_class': { 2025-08-14T21:16:46.4681352Z ... nn.LSTM: nn.quantizable.LSTM, 2025-08-14T21:16:46.4681453Z ... }, 2025-08-14T21:16:46.4681599Z ... 'observed_to_quantized_custom_module_class': { 2025-08-14T21:16:46.4681755Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2025-08-14T21:16:46.4681840Z ... } 2025-08-14T21:16:46.4681923Z ... } 2025-08-14T21:16:46.4682150Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2025-08-14T21:16:46.4682356Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2025-08-14T21:16:46.4682437Z 2025-08-14T21:16:46.4682695Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4682778Z 2025-08-14T21:16:46.4682876Z warnings.warn(msg) 2025-08-14T21:16:46.4682974Z 2025-08-14T21:16:46.4683163Z --- Parse Warning: 37 / 146 --- 2025-08-14T21:16:46.4684309Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-08-14T21:16:46.4684559Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4684639Z 2025-08-14T21:16:46.4684907Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-08-14T21:16:46.4685126Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-08-14T21:16:46.4685378Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-08-14T21:16:46.4685472Z input by the user. 2025-08-14T21:16:46.4685690Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-08-14T21:16:46.4685855Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-08-14T21:16:46.4685935Z 2025-08-14T21:16:46.4686019Z Note:: 2025-08-14T21:16:46.4686334Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-08-14T21:16:46.4686411Z 2025-08-14T21:16:46.4686490Z Args: 2025-08-14T21:16:46.4686594Z model (nn.Module): 2025-08-14T21:16:46.4686806Z The model whose layers will be sparsified. The layers that needs to be 2025-08-14T21:16:46.4687089Z sparsified should be added separately using the register_layer() function 2025-08-14T21:16:46.4687202Z aggregate_fn (Optional, Callable): 2025-08-14T21:16:46.4687445Z default aggregate_fn that is used if not specified while registering the layer. 2025-08-14T21:16:46.4687616Z specifies how inputs should be aggregated over time. 2025-08-14T21:16:46.4687889Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-08-14T21:16:46.4687973Z Example 2025-08-14T21:16:46.4688155Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-08-14T21:16:46.4688270Z reduce_fn (Optional, Callable): 2025-08-14T21:16:46.4688515Z default reduce_fn that is used if not specified while registering the layer. 2025-08-14T21:16:46.4688758Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-08-14T21:16:46.4688870Z calling agg_fn() on all inputs. 2025-08-14T21:16:46.4688972Z Example 2025-08-14T21:16:46.4689161Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-08-14T21:16:46.4689274Z mask_fn (Optional, Callable): 2025-08-14T21:16:46.4689584Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-08-14T21:16:46.4689885Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-08-14T21:16:46.4690025Z register_layer(). 2025-08-14T21:16:46.4690357Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-08-14T21:16:46.4690448Z arguments. 2025-08-14T21:16:46.4690567Z features (Optional, list): 2025-08-14T21:16:46.4690694Z default selected features to sparsify. 2025-08-14T21:16:46.4690951Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-08-14T21:16:46.4691061Z For example, 2025-08-14T21:16:46.4691304Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-08-14T21:16:46.4691429Z feature_dim (Optional, int): 2025-08-14T21:16:46.4691697Z default dimension of input features. Again, features along this dim will be chosen 2025-08-14T21:16:46.4691802Z for sparsification. 2025-08-14T21:16:46.4691915Z sparse_config (Dict): 2025-08-14T21:16:46.4692125Z Default configuration for the mask_fn. This config will be passed 2025-08-14T21:16:46.4692223Z with the mask_fn() 2025-08-14T21:16:46.4692312Z 2025-08-14T21:16:46.4692394Z Example: 2025-08-14T21:16:46.4692489Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4692596Z >>> model = SomeModel() 2025-08-14T21:16:46.4692833Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-08-14T21:16:46.4692949Z >>> # Initialize aggregate_fn 2025-08-14T21:16:46.4693041Z >>> def agg_fn(x, y): 2025-08-14T21:16:46.4693131Z >>> return x + y 2025-08-14T21:16:46.4693224Z >>> 2025-08-14T21:16:46.4693323Z >>> # Initialize reduce_fn 2025-08-14T21:16:46.4693420Z >>> def reduce_fn(x): 2025-08-14T21:16:46.4693542Z >>> return torch.mean(x, dim=0) 2025-08-14T21:16:46.4693623Z >>> 2025-08-14T21:16:46.4693721Z >>> # Initialize mask_fn 2025-08-14T21:16:46.4693828Z >>> def mask_fn(data): 2025-08-14T21:16:46.4693967Z >>> return torch.eye(data.shape).to(data.device) 2025-08-14T21:16:46.4694047Z >>> 2025-08-14T21:16:46.4694140Z >>> 2025-08-14T21:16:46.4694254Z >>> act_sparsifier.register_layer( 2025-08-14T21:16:46.4694362Z ... model.some_layer, 2025-08-14T21:16:46.4694460Z ... aggregate_fn=agg_fn, 2025-08-14T21:16:46.4694584Z ... reduce_fn=reduce_fn, 2025-08-14T21:16:46.4694692Z ... mask_fn=mask_fn, 2025-08-14T21:16:46.4694772Z ... ) 2025-08-14T21:16:46.4694853Z >>> 2025-08-14T21:16:46.4694964Z >>> # start training process 2025-08-14T21:16:46.4695054Z >>> for _ in [...]: 2025-08-14T21:16:46.4695148Z >>> # epoch starts 2025-08-14T21:16:46.4695329Z >>> # model.forward(), compute_loss() and model.backwards() 2025-08-14T21:16:46.4695420Z >>> # epoch ends 2025-08-14T21:16:46.4695524Z >>> act_sparsifier.step() 2025-08-14T21:16:46.4695634Z >>> # end training process 2025-08-14T21:16:46.4695740Z >>> sparsifier.squash_mask() 2025-08-14T21:16:46.4695828Z 2025-08-14T21:16:46.4696070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4696147Z 2025-08-14T21:16:46.4696252Z warnings.warn(msg) 2025-08-14T21:16:46.4696329Z 2025-08-14T21:16:46.4696529Z --- Parse Warning: 38 / 146 --- 2025-08-14T21:16:46.4697673Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91. 2025-08-14T21:16:46.4697990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4698106Z 2025-08-14T21:16:46.4698302Z Abstract method that needs to be implemented by the child class. 2025-08-14T21:16:46.4698543Z The expected return type should is a dictionary of name to schedule_param value 2025-08-14T21:16:46.4698810Z The returned values will be updated in sparsifier when the scheduler step() function 2025-08-14T21:16:46.4698892Z is called. 2025-08-14T21:16:46.4698969Z 2025-08-14T21:16:46.4699063Z Example: 2025-08-14T21:16:46.4699168Z >>> def get_schedule_param(self): 2025-08-14T21:16:46.4699264Z ... new_param = {} 2025-08-14T21:16:46.4699429Z ... for name in self.sparsifier.data_groups.keys(): 2025-08-14T21:16:46.4699526Z ... new_param[name] = ( 2025-08-14T21:16:46.4699738Z ... self.sparsifier.data_groups[name][self.schedule_param] * 0.5 2025-08-14T21:16:46.4699824Z ... ) 2025-08-14T21:16:46.4699922Z ... return new_param 2025-08-14T21:16:46.4700015Z 2025-08-14T21:16:46.4700338Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param] 2025-08-14T21:16:46.4700426Z would be halved 2025-08-14T21:16:46.4700514Z 2025-08-14T21:16:46.4700754Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4700832Z 2025-08-14T21:16:46.4700935Z warnings.warn(msg) 2025-08-14T21:16:46.4701012Z 2025-08-14T21:16:46.4701200Z --- Parse Warning: 39 / 146 --- 2025-08-14T21:16:46.4702225Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2025-08-14T21:16:46.4702477Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4702657Z Squashes the sparse masks into the appropriate tensors. 2025-08-14T21:16:46.4702735Z 2025-08-14T21:16:46.4702933Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2025-08-14T21:16:46.4703121Z the module will have a `sparse_params` dict attached to it. 2025-08-14T21:16:46.4703198Z 2025-08-14T21:16:46.4703290Z Args: 2025-08-14T21:16:46.4703467Z params_to_keep: List of keys to save in the module or a dict 2025-08-14T21:16:46.4703621Z representing the modules and keys that will have 2025-08-14T21:16:46.4703820Z sparsity parameters saved 2025-08-14T21:16:46.4704027Z params_to_keep_per_layer: Dict to specify the params that should be 2025-08-14T21:16:46.4704173Z saved for specific layers. The keys in the dict 2025-08-14T21:16:46.4704340Z should be the module fqn, while the values should 2025-08-14T21:16:46.4704498Z be a list of strings with the names of the variables 2025-08-14T21:16:46.4704633Z to save in the `sparse_params` 2025-08-14T21:16:46.4704712Z 2025-08-14T21:16:46.4704799Z Examples: 2025-08-14T21:16:46.4704942Z >>> # xdoctest: +SKIP("locals are undefined") 2025-08-14T21:16:46.4705056Z >>> # Don't save any sparse params 2025-08-14T21:16:46.4705171Z >>> sparsifier.squash_mask() 2025-08-14T21:16:46.4705324Z >>> hasattr(model.submodule1, "sparse_params") 2025-08-14T21:16:46.4705407Z False 2025-08-14T21:16:46.4705495Z 2025-08-14T21:16:46.4705626Z >>> # Keep sparse params per layer 2025-08-14T21:16:46.4705825Z >>> sparsifier.squash_mask( 2025-08-14T21:16:46.4705942Z ... params_to_keep_per_layer={ 2025-08-14T21:16:46.4706157Z ... "submodule1.linear1": ("foo", "bar"), 2025-08-14T21:16:46.4706307Z ... "submodule2.linear42": ("baz",), 2025-08-14T21:16:46.4706406Z ... } 2025-08-14T21:16:46.4706488Z ... ) 2025-08-14T21:16:46.4706641Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-14T21:16:46.4706750Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:46.4706906Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-14T21:16:46.4706996Z {'baz': 0.1} 2025-08-14T21:16:46.4707086Z 2025-08-14T21:16:46.4707209Z >>> # Keep sparse params for all layers 2025-08-14T21:16:46.4707378Z >>> sparsifier.squash_mask(params_to_keep=("foo", "bar")) 2025-08-14T21:16:46.4707544Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-14T21:16:46.4707639Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:46.4729874Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-14T21:16:46.4730094Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:46.4730204Z 2025-08-14T21:16:46.4730446Z >>> # Keep some sparse params for all layers, and specific ones for 2025-08-14T21:16:46.4730587Z >>> # some other layers 2025-08-14T21:16:46.4730698Z >>> sparsifier.squash_mask( 2025-08-14T21:16:46.4730821Z ... params_to_keep=("foo", "bar"), 2025-08-14T21:16:46.4731009Z ... params_to_keep_per_layer={"submodule2.linear42": ("baz",)}, 2025-08-14T21:16:46.4731094Z ... ) 2025-08-14T21:16:46.4731261Z >>> print(model.submodule1.linear1.sparse_params) 2025-08-14T21:16:46.4731363Z {'foo': 42, 'bar': 24} 2025-08-14T21:16:46.4731520Z >>> print(model.submodule2.linear42.sparse_params) 2025-08-14T21:16:46.4731632Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2025-08-14T21:16:46.4731719Z 2025-08-14T21:16:46.4731975Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4732056Z 2025-08-14T21:16:46.4732151Z warnings.warn(msg) 2025-08-14T21:16:46.4732240Z 2025-08-14T21:16:46.4732497Z --- Parse Warning: 40 / 146 --- 2025-08-14T21:16:46.4733490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2025-08-14T21:16:46.4733869Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4733947Z 2025-08-14T21:16:46.4734196Z Config object that specifies the supported data types passed as arguments to 2025-08-14T21:16:46.4734422Z quantize ops in the reference model spec, for input and output activations, 2025-08-14T21:16:46.4734519Z weights, and biases. 2025-08-14T21:16:46.4734609Z 2025-08-14T21:16:46.4734764Z For example, consider the following reference model: 2025-08-14T21:16:46.4734844Z 2025-08-14T21:16:46.4735004Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2025-08-14T21:16:46.4735082Z 2025-08-14T21:16:46.4735284Z The pattern in the square brackets refers to the reference pattern of 2025-08-14T21:16:46.4735512Z statically quantized linear. Setting the input dtype as `torch.quint8` 2025-08-14T21:16:46.4735727Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2025-08-14T21:16:46.4735946Z to the first quantize op (quant1). Similarly, setting the output dtype as 2025-08-14T21:16:46.4736156Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2025-08-14T21:16:46.4736261Z the second quantize op (quant2). 2025-08-14T21:16:46.4736342Z 2025-08-14T21:16:46.4736547Z Note that the dtype here does not refer to the interface dtypes of the 2025-08-14T21:16:46.4736827Z op. For example, the "input dtype" here is not the dtype of the input 2025-08-14T21:16:46.4737067Z tensor passed to the quantized linear op. Though it can still be the 2025-08-14T21:16:46.4737254Z same as the interface dtype, this is not always the case, e.g. the 2025-08-14T21:16:46.4737472Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2025-08-14T21:16:46.4737674Z specified in the DTypeConfig would still be quint8. The semantics of 2025-08-14T21:16:46.4737874Z dtypes here are the same as the semantics of the dtypes specified in 2025-08-14T21:16:46.4737969Z the observers. 2025-08-14T21:16:46.4738044Z 2025-08-14T21:16:46.4738244Z These dtypes are matched against the ones specified in the user's 2025-08-14T21:16:46.4738455Z QConfig. If there is a match, and the QConfig satisfies the constraints 2025-08-14T21:16:46.4738661Z specified in the DTypeConfig (if any), then we will quantize the given 2025-08-14T21:16:46.4738877Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2025-08-14T21:16:46.4738992Z the pattern will not be quantized. 2025-08-14T21:16:46.4739068Z 2025-08-14T21:16:46.4739172Z Example usage:: 2025-08-14T21:16:46.4739248Z 2025-08-14T21:16:46.4739347Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:46.4739458Z >>> dtype_config1 = DTypeConfig( 2025-08-14T21:16:46.4739562Z ... input_dtype=torch.quint8, 2025-08-14T21:16:46.4739664Z ... output_dtype=torch.quint8, 2025-08-14T21:16:46.4739775Z ... weight_dtype=torch.qint8, 2025-08-14T21:16:46.4739875Z ... bias_dtype=torch.float) 2025-08-14T21:16:46.4739954Z 2025-08-14T21:16:46.4740065Z >>> dtype_config2 = DTypeConfig( 2025-08-14T21:16:46.4740186Z ... input_dtype=DTypeWithConstraints( 2025-08-14T21:16:46.4740278Z ... dtype=torch.quint8, 2025-08-14T21:16:46.4740387Z ... quant_min_lower_bound=0, 2025-08-14T21:16:46.4740499Z ... quant_max_upper_bound=255, 2025-08-14T21:16:46.4740584Z ... ), 2025-08-14T21:16:46.4740710Z ... output_dtype=DTypeWithConstraints( 2025-08-14T21:16:46.4740806Z ... dtype=torch.quint8, 2025-08-14T21:16:46.4740916Z ... quant_min_lower_bound=0, 2025-08-14T21:16:46.4741023Z ... quant_max_upper_bound=255, 2025-08-14T21:16:46.4741101Z ... ), 2025-08-14T21:16:46.4741231Z ... weight_dtype=DTypeWithConstraints( 2025-08-14T21:16:46.4741327Z ... dtype=torch.qint8, 2025-08-14T21:16:46.4741430Z ... quant_min_lower_bound=-128, 2025-08-14T21:16:46.4741573Z ... quant_max_upper_bound=127, 2025-08-14T21:16:46.4741652Z ... ), 2025-08-14T21:16:46.4741760Z ... bias_dtype=torch.float) 2025-08-14T21:16:46.4741836Z 2025-08-14T21:16:46.4741939Z >>> dtype_config1.input_dtype 2025-08-14T21:16:46.4742032Z torch.quint8 2025-08-14T21:16:46.4742110Z 2025-08-14T21:16:46.4742213Z >>> dtype_config2.input_dtype 2025-08-14T21:16:46.4742307Z torch.quint8 2025-08-14T21:16:46.4742382Z 2025-08-14T21:16:46.4742512Z >>> dtype_config2.input_dtype_with_constraints 2025-08-14T21:16:46.4743033Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2025-08-14T21:16:46.4743108Z 2025-08-14T21:16:46.4743347Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4743433Z 2025-08-14T21:16:46.4743526Z warnings.warn(msg) 2025-08-14T21:16:46.4743613Z 2025-08-14T21:16:46.4743816Z --- Parse Warning: 41 / 146 --- 2025-08-14T21:16:46.4744833Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24. 2025-08-14T21:16:46.4745125Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4745231Z 2025-08-14T21:16:46.4745520Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into 2025-08-14T21:16:46.4745928Z with their models. The class works with all traceable GraphModules to help diagnose issues, 2025-08-14T21:16:46.4746219Z though the requirements on the type of model more-so depends on the specific report the user 2025-08-14T21:16:46.4746517Z is trying to generate. With respect to the reports, the ModelReport class is initialized with 2025-08-14T21:16:46.4746779Z a set of Detector classes, each of which generate reports on quantization configuration 2025-08-14T21:16:46.4746879Z issues a use might have. 2025-08-14T21:16:46.4746965Z 2025-08-14T21:16:46.4747090Z Currently supports generating reports on: 2025-08-14T21:16:46.4747314Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module) 2025-08-14T21:16:46.4747580Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules) 2025-08-14T21:16:46.4747858Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules) 2025-08-14T21:16:46.4748070Z - Suggestions for outlier detection for all layers (Graph Modules) 2025-08-14T21:16:46.4748146Z 2025-08-14T21:16:46.4748523Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver) 2025-08-14T21:16:46.4748885Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport 2025-08-14T21:16:46.4749234Z class compiles the report generated by each Detector class into a single report to return to the user. It also 2025-08-14T21:16:46.4749442Z has the capability to remove all the observers it inserted as well. 2025-08-14T21:16:46.4749519Z 2025-08-14T21:16:46.4749789Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule 2025-08-14T21:16:46.4749874Z 2025-08-14T21:16:46.4750225Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class 2025-08-14T21:16:46.4750522Z Make sure that these are all unique types of detectors [do not have more than 1 of the same class] 2025-08-14T21:16:46.4750604Z 2025-08-14T21:16:46.4750872Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors. 2025-08-14T21:16:46.4751128Z This set is generated by calling the get_detector_name() of each detector 2025-08-14T21:16:46.4751204Z 2025-08-14T21:16:46.4751521Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest 2025-08-14T21:16:46.4751827Z The purpose of this is to keep track of what observers were inserted for each detector, so that they 2025-08-14T21:16:46.4751942Z can be removed at the end if desired 2025-08-14T21:16:46.4752016Z 2025-08-14T21:16:46.4752324Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not 2025-08-14T21:16:46.4752545Z This is to ensure we only insert observers once with the ModelReport instance 2025-08-14T21:16:46.4752628Z 2025-08-14T21:16:46.4752866Z * :attr:`_removed_observers` A boolean to track if we have removed observers already 2025-08-14T21:16:46.4753142Z The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport 2025-08-14T21:16:46.4753453Z instance. This also allows the functionality where we can generate the report multiple times 2025-08-14T21:16:46.4753589Z as long as we haven't removed the observers yet. 2025-08-14T21:16:46.4753663Z 2025-08-14T21:16:46.4753748Z Note: 2025-08-14T21:16:46.4754028Z This class was initially designed to work with the Fx Graph Mode workflow in mind. However, 2025-08-14T21:16:46.4754383Z full functionality is available as long as there is a traceable GraphModule that is being used. 2025-08-14T21:16:46.4754731Z One method to get a traceable GraphModule without going through the Fx workflow is to use 2025-08-14T21:16:46.4754840Z the QuantizationTracer class. 2025-08-14T21:16:46.4754926Z 2025-08-14T21:16:46.4755024Z General Flow for Fx workflow: 2025-08-14T21:16:46.4755388Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model 2025-08-14T21:16:46.4755512Z 2.) Prepare your model with prepare_fx 2025-08-14T21:16:46.4755744Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers 2025-08-14T21:16:46.4755852Z 4.) Calibrate your model with data 2025-08-14T21:16:46.4756199Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers 2025-08-14T21:16:46.4756281Z Optional 2025-08-14T21:16:46.4756550Z 6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance 2025-08-14T21:16:46.4756786Z 7.) To help in parsing report information and debugging, view report info as a: 2025-08-14T21:16:46.4756868Z - Table 2025-08-14T21:16:46.4756963Z - Histogram 2025-08-14T21:16:46.4757050Z - Line plot 2025-08-14T21:16:46.4757350Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions 2025-08-14T21:16:46.4757435Z 2025-08-14T21:16:46.4757546Z Example (with QuantizationTracer): 2025-08-14T21:16:46.4757641Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4757748Z >>> # get the necessary qconfig 2025-08-14T21:16:46.4757864Z >>> config = PrepareCustomConfig() 2025-08-14T21:16:46.4758019Z >>> skipped_module_names, skipped_module_classes = ( 2025-08-14T21:16:46.4758170Z ... get_skipped_module_name_and_classes(config, False) 2025-08-14T21:16:46.4758251Z ... ) 2025-08-14T21:16:46.4758338Z 2025-08-14T21:16:46.4758466Z >>> # initialize our model and get GraphModule 2025-08-14T21:16:46.4758564Z >>> model = SomeModel() 2025-08-14T21:16:46.4758812Z >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes) 2025-08-14T21:16:46.4758975Z >>> graph_module = GraphModule(model, tracer.trace(model)) 2025-08-14T21:16:46.4759053Z 2025-08-14T21:16:46.4759208Z >>> # get our set of detectors and ModelReport instance 2025-08-14T21:16:46.4759300Z >>> detector_set = set( 2025-08-14T21:16:46.4759384Z ... [ 2025-08-14T21:16:46.4759541Z ... DynamicStaticDetector(tolerance=0.5), 2025-08-14T21:16:46.4759730Z ... InputWeightEqualizationDetector(ratio_threshold=0.7), 2025-08-14T21:16:46.4759814Z ... ] 2025-08-14T21:16:46.4759889Z ... ) 2025-08-14T21:16:46.4760088Z >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set) 2025-08-14T21:16:46.4760178Z 2025-08-14T21:16:46.4760325Z >>> # now we insert the observers and calibrate the model 2025-08-14T21:16:46.4760570Z >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration() 2025-08-14T21:16:46.4760704Z >>> for i in range(num_callibration_batches): 2025-08-14T21:16:46.4760831Z >>> example_input = get_callibration_input() 2025-08-14T21:16:46.4760969Z >>> tracer_model_with_observers(example_input) 2025-08-14T21:16:46.4761044Z 2025-08-14T21:16:46.4761290Z >>> # finally we generate the reports and optionally remove the observers we inserted 2025-08-14T21:16:46.4761452Z >>> reports = tracer_reporter.generate_model_report( 2025-08-14T21:16:46.4761565Z ... remove_inserted_observers=True 2025-08-14T21:16:46.4761644Z ... ) 2025-08-14T21:16:46.4761737Z 2025-08-14T21:16:46.4761951Z >>> # Optional: we can generate the qconfig mapping based on the suggestions 2025-08-14T21:16:46.4762172Z >>> qconfigs = model_report.generate_qconfig_mapping() 2025-08-14T21:16:46.4762288Z 2025-08-14T21:16:46.4762522Z >>> # Optional: we can generate the equalization mapping based on the suggestions 2025-08-14T21:16:46.4762705Z >>> qconfigs = model_report.generate_equalization_mapping() 2025-08-14T21:16:46.4762783Z 2025-08-14T21:16:46.4763055Z >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired 2025-08-14T21:16:46.4763271Z >>> model_report_visualizer = tracer_reporter.generate_visualizer() 2025-08-14T21:16:46.4763350Z 2025-08-14T21:16:46.4763430Z 2025-08-14T21:16:46.4763686Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4763764Z 2025-08-14T21:16:46.4763860Z warnings.warn(msg) 2025-08-14T21:16:46.4763953Z 2025-08-14T21:16:46.4764178Z --- Parse Warning: 42 / 146 --- 2025-08-14T21:16:46.4765392Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2025-08-14T21:16:46.4765647Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4765725Z 2025-08-14T21:16:46.4765999Z Takes in optional filter values and generates two tables with desired information. 2025-08-14T21:16:46.4766079Z 2025-08-14T21:16:46.4766296Z The generated tables are presented in both a list-of-lists format 2025-08-14T21:16:46.4766377Z 2025-08-14T21:16:46.4766575Z The reason for the two tables are that they handle different things: 2025-08-14T21:16:46.4766752Z 1.) the first table handles all tensor level information 2025-08-14T21:16:46.4766959Z 2.) the second table handles and displays all channel based information 2025-08-14T21:16:46.4767044Z 2025-08-14T21:16:46.4767367Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-14T21:16:46.4767682Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-14T21:16:46.4768022Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-14T21:16:46.4768113Z 2025-08-14T21:16:46.4768210Z Tensor table columns: 2025-08-14T21:16:46.4768408Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:46.4768591Z ---- --------- --------- --------- --------- --------- 2025-08-14T21:16:46.4768668Z 2025-08-14T21:16:46.4768787Z Per-Channel table columns: 2025-08-14T21:16:46.4768998Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:46.4769162Z ---- --------- ------- --------- --------- --------- --------- 2025-08-14T21:16:46.4769256Z 2025-08-14T21:16:46.4769341Z Args: 2025-08-14T21:16:46.4769591Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-14T21:16:46.4769712Z contain this filter substring 2025-08-14T21:16:46.4769870Z Default = "", results in all the features being printed 2025-08-14T21:16:46.4770131Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:46.4770368Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:46.4770446Z 2025-08-14T21:16:46.4770569Z Returns a dictionary with two keys: 2025-08-14T21:16:46.4770738Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2025-08-14T21:16:46.4770863Z "tensor_level_info", "channel_level_info" 2025-08-14T21:16:46.4770982Z Each key maps to a tuple with: 2025-08-14T21:16:46.4771152Z A list of the headers of each table 2025-08-14T21:16:46.4771337Z A list of lists containing the table information row by row 2025-08-14T21:16:46.4771531Z The 0th index row will contain the headers of the columns 2025-08-14T21:16:46.4771653Z The rest of the rows will contain data 2025-08-14T21:16:46.4771746Z 2025-08-14T21:16:46.4771831Z Example Use: 2025-08-14T21:16:46.4771956Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.4772114Z >>> mod_report_visualizer.generate_filtered_tables( 2025-08-14T21:16:46.4772302Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:46.4772574Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2025-08-14T21:16:46.4772652Z 2025-08-14T21:16:46.4772892Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4772984Z 2025-08-14T21:16:46.4773080Z warnings.warn(msg) 2025-08-14T21:16:46.4773158Z 2025-08-14T21:16:46.4773376Z --- Parse Warning: 43 / 146 --- 2025-08-14T21:16:46.4774579Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399. 2025-08-14T21:16:46.4774843Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4774920Z 2025-08-14T21:16:46.4775184Z Takes in optional filter values and prints out formatted tables of the information. 2025-08-14T21:16:46.4775275Z 2025-08-14T21:16:46.4775600Z The reason for the two tables printed out instead of one large one are that they handle different things: 2025-08-14T21:16:46.4775759Z 1.) the first table handles all tensor level information 2025-08-14T21:16:46.4776184Z 2.) the second table handles and displays all channel based information 2025-08-14T21:16:46.4776265Z 2025-08-14T21:16:46.4776570Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-08-14T21:16:46.4776897Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-08-14T21:16:46.4777231Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-08-14T21:16:46.4777324Z 2025-08-14T21:16:46.4777419Z Tensor table columns: 2025-08-14T21:16:46.4777691Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:46.4777854Z ---- --------- --------- --------- --------- --------- 2025-08-14T21:16:46.4777931Z 2025-08-14T21:16:46.4778034Z Per-Channel table columns: 2025-08-14T21:16:46.4778125Z 2025-08-14T21:16:46.4778334Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-08-14T21:16:46.4778507Z ---- --------- ------- --------- --------- --------- --------- 2025-08-14T21:16:46.4778589Z 2025-08-14T21:16:46.4778670Z Args: 2025-08-14T21:16:46.4778936Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-14T21:16:46.4779044Z contain this filter substring 2025-08-14T21:16:46.4779202Z Default = "", results in all the features being printed 2025-08-14T21:16:46.4779465Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:46.4779702Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:46.4779780Z 2025-08-14T21:16:46.4779881Z Example Use: 2025-08-14T21:16:46.4780007Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.4780180Z >>> mod_report_visualizer.generate_table_visualization( 2025-08-14T21:16:46.4780451Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:46.4780575Z ... ) 2025-08-14T21:16:46.4780776Z >>> # prints out neatly formatted table with per_channel_min info 2025-08-14T21:16:46.4780901Z >>> # for all modules in block 1 of the model 2025-08-14T21:16:46.4780981Z 2025-08-14T21:16:46.4781238Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4781315Z 2025-08-14T21:16:46.4781410Z warnings.warn(msg) 2025-08-14T21:16:46.4781504Z 2025-08-14T21:16:46.4781703Z --- Parse Warning: 44 / 146 --- 2025-08-14T21:16:46.4782920Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564. 2025-08-14T21:16:46.4783175Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4783256Z 2025-08-14T21:16:46.4783493Z Takes in a feature and optional module_filter and plots of the desired data. 2025-08-14T21:16:46.4783571Z 2025-08-14T21:16:46.4783831Z For per channel features, it averages the value across the channels and plots a point 2025-08-14T21:16:46.4784091Z per module. The reason for this is that for models with hundreds of channels, it can 2025-08-14T21:16:46.4784353Z be hard to differentiate one channel line from another, and so the point of generating 2025-08-14T21:16:46.4784622Z a single average point per module is to give a sense of general trends that encourage 2025-08-14T21:16:46.4784718Z further deep dives. 2025-08-14T21:16:46.4784797Z 2025-08-14T21:16:46.4784890Z Note: 2025-08-14T21:16:46.4785142Z Only features in the report that have tensor value data are plottable by this class 2025-08-14T21:16:46.4785304Z When the tensor information is plotted, it will plot: 2025-08-14T21:16:46.4785449Z idx as the x val, feature value as the y_val 2025-08-14T21:16:46.4785612Z When the channel information is plotted, it will plot: 2025-08-14T21:16:46.4785964Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2025-08-14T21:16:46.4786185Z The reason for this is that we want to be able to compare values across the 2025-08-14T21:16:46.4786408Z channels for same layer, and it will be hard if values are staggered by idx 2025-08-14T21:16:46.4786626Z This means each module is represented by only 1 x value 2025-08-14T21:16:46.4786709Z Args: 2025-08-14T21:16:46.4786925Z feature_filter (str): Filters the features presented to only those that 2025-08-14T21:16:46.4787054Z contain this filter substring 2025-08-14T21:16:46.4787300Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:46.4787555Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:46.4787635Z 2025-08-14T21:16:46.4787723Z Example Use: 2025-08-14T21:16:46.4787862Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.4788017Z >>> mod_report_visualizer.generate_plot_visualization( 2025-08-14T21:16:46.4788202Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:46.4788293Z ... ) 2025-08-14T21:16:46.4788465Z >>> # outputs line plot of per_channel_min information for all 2025-08-14T21:16:46.4788644Z >>> # modules in block1 of model each channel gets it's own line, 2025-08-14T21:16:46.4788824Z >>> # and it's plotted across the in-order modules on the x-axis 2025-08-14T21:16:46.4788902Z 2025-08-14T21:16:46.4789155Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4789257Z 2025-08-14T21:16:46.4789398Z warnings.warn(msg) 2025-08-14T21:16:46.4789486Z 2025-08-14T21:16:46.4789715Z --- Parse Warning: 45 / 146 --- 2025-08-14T21:16:46.4790941Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643. 2025-08-14T21:16:46.4791206Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4791282Z 2025-08-14T21:16:46.4791566Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2025-08-14T21:16:46.4791647Z 2025-08-14T21:16:46.4791727Z Note: 2025-08-14T21:16:46.4791994Z Only features in the report that have tensor value data can be viewed as a histogram 2025-08-14T21:16:46.4792245Z If you want to plot a histogram from all the channel values of a specific feature for 2025-08-14T21:16:46.4792484Z a specific model, make sure to specify both the model and the feature properly 2025-08-14T21:16:46.4792732Z in the filters and you should be able to see a distribution of the channel data 2025-08-14T21:16:46.4792809Z 2025-08-14T21:16:46.4792903Z Args: 2025-08-14T21:16:46.4793153Z feature_filter (str, optional): Filters the features presented to only those that 2025-08-14T21:16:46.4793260Z contain this filter substring 2025-08-14T21:16:46.4793429Z Default = "", results in all the features being printed 2025-08-14T21:16:46.4793678Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-08-14T21:16:46.4793915Z Default = "", results in all the modules in the reports to be visible in the table 2025-08-14T21:16:46.4794142Z num_bins (int, optional): The number of bins to create the histogram with 2025-08-14T21:16:46.4794325Z Default = 10, the values will be split into 10 equal sized bins 2025-08-14T21:16:46.4794420Z 2025-08-14T21:16:46.4794506Z Example Use: 2025-08-14T21:16:46.4794602Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4794902Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2025-08-14T21:16:46.4795087Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-08-14T21:16:46.4795166Z ... ) 2025-08-14T21:16:46.4795439Z # outputs histogram of per_channel_min information for all modules in block1 of model 2025-08-14T21:16:46.4795716Z information is gathered across all channels for all modules in block 1 for the 2025-08-14T21:16:46.4795940Z per_channel_min and is displayed in a histogram of equally sized bins 2025-08-14T21:16:46.4796017Z 2025-08-14T21:16:46.4796259Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4796351Z 2025-08-14T21:16:46.4796450Z warnings.warn(msg) 2025-08-14T21:16:46.4796528Z 2025-08-14T21:16:46.4796727Z --- Parse Warning: 46 / 146 --- 2025-08-14T21:16:46.4797586Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py line=734. 2025-08-14T21:16:46.4797833Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4798216Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler. 2025-08-14T21:16:46.4798392Z Label will only appear if CPU activity tracing is enabled. 2025-08-14T21:16:46.4798487Z 2025-08-14T21:16:46.4798614Z It is useful when tracing the code profile. 2025-08-14T21:16:46.4798692Z 2025-08-14T21:16:46.4798785Z Args: 2025-08-14T21:16:46.4799001Z name (str): Label assigned to the block of code. 2025-08-14T21:16:46.4799178Z node_id (int): ID of node, for distributed profiling. Unset in 2025-08-14T21:16:46.4799322Z non-distributed cases. 2025-08-14T21:16:46.4799403Z 2025-08-14T21:16:46.4799488Z Example: 2025-08-14T21:16:46.4799679Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER) 2025-08-14T21:16:46.4799807Z >>> x = torch.randn((1, 1), requires_grad=True) 2025-08-14T21:16:46.4799978Z >>> with torch.autograd.profiler.profile() as prof: 2025-08-14T21:16:46.4800068Z ... y = x**2 2025-08-14T21:16:46.4800228Z ... with torch.autograd.profiler.record_function( 2025-08-14T21:16:46.4800334Z ... "label-z" 2025-08-14T21:16:46.4800435Z ... ): # label the block 2025-08-14T21:16:46.4800523Z ... z = y**3 2025-08-14T21:16:46.4800629Z ... y.backward() 2025-08-14T21:16:46.4800737Z >>> # xdoctest: +IGNORE_WANT 2025-08-14T21:16:46.4800869Z >>> # NOTE: some columns were removed for brevity 2025-08-14T21:16:46.4801082Z >>> print(prof.key_averages().table(sort_by="self_cpu_time_total")) 2025-08-14T21:16:46.4801276Z ----------------------------------- --------------- --------------- --------------- 2025-08-14T21:16:46.4801464Z Name Self CPU total % CPU time avg Number of Calls 2025-08-14T21:16:46.4801651Z ----------------------------------- --------------- --------------- --------------- 2025-08-14T21:16:46.4801784Z pow 60.77% 47.470us 3 2025-08-14T21:16:46.4801927Z mul 21.73% 25.465us 2 2025-08-14T21:16:46.4802095Z PowBackward0 12.03% 121.891us 1 2025-08-14T21:16:46.4802331Z torch::autograd::AccumulateGrad 2.70% 6.324us 1 2025-08-14T21:16:46.4802473Z label-z 2.13% 12.421us 1 2025-08-14T21:16:46.4802671Z torch::autograd::GraphRoot 0.64% 1.503us 1 2025-08-14T21:16:46.4802868Z ----------------------------------- --------------- --------------- --------------- 2025-08-14T21:16:46.4802976Z Self CPU time total: 234.344us 2025-08-14T21:16:46.4803077Z CUDA time total: 0.000us 2025-08-14T21:16:46.4803170Z 2025-08-14T21:16:46.4803251Z 2025-08-14T21:16:46.4803536Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4803614Z 2025-08-14T21:16:46.4803709Z warnings.warn(msg) 2025-08-14T21:16:46.4803798Z 2025-08-14T21:16:46.4803987Z --- Parse Warning: 47 / 146 --- 2025-08-14T21:16:46.4804892Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=722. 2025-08-14T21:16:46.4805148Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.4805225Z 2025-08-14T21:16:46.4805493Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-08-14T21:16:46.4805745Z The submesh created consists of the dimensions and the communicators indicated by 2025-08-14T21:16:46.4805834Z ``mesh_dim_names`` 2025-08-14T21:16:46.4805923Z 2025-08-14T21:16:46.4806008Z Args: 2025-08-14T21:16:46.4806230Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-08-14T21:16:46.4806420Z mesh dimension of the DeviceMesh to create the submesh for. 2025-08-14T21:16:46.4806502Z Returns: 2025-08-14T21:16:46.4806603Z A :class:`DeviceMesh` object 2025-08-14T21:16:46.4806721Z 2025-08-14T21:16:46.4807016Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-08-14T21:16:46.4807146Z In the first example: 2025-08-14T21:16:46.4807386Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-08-14T21:16:46.4807621Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-08-14T21:16:46.4807846Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-08-14T21:16:46.4808059Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-08-14T21:16:46.4808270Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-08-14T21:16:46.4808489Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-08-14T21:16:46.4808569Z 2025-08-14T21:16:46.4808677Z In the second example: 2025-08-14T21:16:46.4808936Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-08-14T21:16:46.4809189Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-08-14T21:16:46.4809450Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-08-14T21:16:46.4809698Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-08-14T21:16:46.4809775Z 2025-08-14T21:16:46.4809876Z Example:: 2025-08-14T21:16:46.4809952Z 2025-08-14T21:16:46.4810075Z >>> # xdoctest: +SKIP("no rank") 2025-08-14T21:16:46.4810244Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-08-14T21:16:46.4810324Z >>> 2025-08-14T21:16:46.4810530Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-08-14T21:16:46.4810668Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-08-14T21:16:46.4810909Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-14T21:16:46.4811022Z >>> tp_mesh = mesh_2d["tp"] 2025-08-14T21:16:46.4811118Z >>> dp_mesh = mesh_2d["dp"] 2025-08-14T21:16:46.4811197Z >>> 2025-08-14T21:16:46.4811303Z >>> # Initialize a 3D mesh. 2025-08-14T21:16:46.4811567Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-08-14T21:16:46.4811867Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-08-14T21:16:46.4812013Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-08-14T21:16:46.4812122Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-08-14T21:16:46.4812211Z 2025-08-14T21:16:46.4812852Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-08-14T21:16:46.4812933Z 2025-08-14T21:16:46.4813181Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-08-14T21:16:46.4813298Z ^ 2025-08-14T21:16:46.4813404Z warnings.warn(msg) 2025-08-14T21:16:46.4813482Z 2025-08-14T21:16:46.4813674Z --- Parse Warning: 48 / 146 --- 2025-08-14T21:16:46.4814609Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2706. 2025-08-14T21:16:46.4814862Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4814940Z 2025-08-14T21:16:46.4815195Z Send or Receive a batch of tensors asynchronously and return a list of requests. 2025-08-14T21:16:46.4815308Z 2025-08-14T21:16:46.4815583Z Process each of the operations in ``p2p_op_list`` and return the corresponding 2025-08-14T21:16:46.4815798Z requests. NCCL, Gloo, and UCC backend are currently supported. 2025-08-14T21:16:46.4815875Z 2025-08-14T21:16:46.4815967Z Args: 2025-08-14T21:16:46.4816183Z p2p_op_list: A list of point-to-point operations(type of each operator is 2025-08-14T21:16:46.4816406Z ``torch.distributed.P2POp``). The order of the isend/irecv in the list 2025-08-14T21:16:46.4816622Z matters and it needs to match with corresponding isend/irecv on the 2025-08-14T21:16:46.4816714Z remote end. 2025-08-14T21:16:46.4816794Z 2025-08-14T21:16:46.4816888Z Returns: 2025-08-14T21:16:46.4817122Z A list of distributed request objects returned by calling the corresponding 2025-08-14T21:16:46.4817229Z op in the op_list. 2025-08-14T21:16:46.4817305Z 2025-08-14T21:16:46.4817390Z Examples: 2025-08-14T21:16:46.4817518Z >>> # xdoctest: +SKIP("no rank") 2025-08-14T21:16:46.4817700Z >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank 2025-08-14T21:16:46.4817849Z >>> recv_tensor = torch.randn(2, dtype=torch.float32) 2025-08-14T21:16:46.4818062Z >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size) 2025-08-14T21:16:46.4818160Z >>> recv_op = dist.P2POp( 2025-08-14T21:16:46.4818341Z ... dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size 2025-08-14T21:16:46.4818435Z ... ) 2025-08-14T21:16:46.4818566Z >>> reqs = batch_isend_irecv([send_op, recv_op]) 2025-08-14T21:16:46.4818673Z >>> for req in reqs: 2025-08-14T21:16:46.4818761Z >>> req.wait() 2025-08-14T21:16:46.4818846Z >>> recv_tensor 2025-08-14T21:16:46.4818951Z tensor([2, 3]) # Rank 0 2025-08-14T21:16:46.4819041Z tensor([0, 1]) # Rank 1 2025-08-14T21:16:46.4819117Z 2025-08-14T21:16:46.4819365Z .. note:: Note that when this API is used with the NCCL PG backend, users must set 2025-08-14T21:16:46.4819577Z the current GPU device with `torch.cuda.set_device`, otherwise it will 2025-08-14T21:16:46.4819683Z lead to unexpected hang issues. 2025-08-14T21:16:46.4819772Z 2025-08-14T21:16:46.4819971Z In addition, if this API is the first collective call in the ``group`` 2025-08-14T21:16:46.4820194Z passed to ``dist.P2POp``, all ranks of the ``group`` must participate in 2025-08-14T21:16:46.4820407Z this API call; otherwise, the behavior is undefined. If this API call is 2025-08-14T21:16:46.4820645Z not the first collective call in the ``group``, batched P2P operations 2025-08-14T21:16:46.4820845Z involving only a subset of ranks of the ``group`` are allowed. 2025-08-14T21:16:46.4820925Z 2025-08-14T21:16:46.4821161Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4821252Z 2025-08-14T21:16:46.4821347Z warnings.warn(msg) 2025-08-14T21:16:46.4821426Z 2025-08-14T21:16:46.4821631Z --- Parse Warning: 49 / 146 --- 2025-08-14T21:16:46.4822509Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2838. 2025-08-14T21:16:46.4822771Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4822852Z 2025-08-14T21:16:46.4823106Z Reduces the tensor data across all machines in a way that all get the final result. 2025-08-14T21:16:46.4823195Z 2025-08-14T21:16:46.4823411Z After the call ``tensor`` is going to be bitwise identical in all processes. 2025-08-14T21:16:46.4823487Z 2025-08-14T21:16:46.4823604Z Complex tensors are supported. 2025-08-14T21:16:46.4823680Z 2025-08-14T21:16:46.4823771Z Args: 2025-08-14T21:16:46.4824030Z tensor (Tensor): Input and output of the collective. The function 2025-08-14T21:16:46.4824154Z operates in-place. 2025-08-14T21:16:46.4824277Z op (optional): One of the values from 2025-08-14T21:16:46.4824396Z ``torch.distributed.ReduceOp`` 2025-08-14T21:16:46.4824589Z enum. Specifies an operation used for element-wise reductions. 2025-08-14T21:16:46.4824825Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:46.4824948Z the default process group will be used. 2025-08-14T21:16:46.4825132Z async_op (bool, optional): Whether this op should be an async op 2025-08-14T21:16:46.4825224Z 2025-08-14T21:16:46.4825308Z Returns: 2025-08-14T21:16:46.4825453Z Async work handle, if async_op is set to True. 2025-08-14T21:16:46.4825592Z None, if not async_op or if not part of the group 2025-08-14T21:16:46.4825758Z 2025-08-14T21:16:46.4825862Z Examples: 2025-08-14T21:16:46.4825973Z >>> # xdoctest: +SKIP("no rank") 2025-08-14T21:16:46.4826103Z >>> # All tensors below are of torch.int64 type. 2025-08-14T21:16:46.4826232Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:46.4826347Z >>> device = torch.device(f"cuda:{rank}") 2025-08-14T21:16:46.4826564Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-14T21:16:46.4826660Z >>> tensor 2025-08-14T21:16:46.4826771Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-14T21:16:46.4826895Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-14T21:16:46.4827025Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-14T21:16:46.4827108Z >>> tensor 2025-08-14T21:16:46.4827228Z tensor([4, 6], device='cuda:0') # Rank 0 2025-08-14T21:16:46.4827336Z tensor([4, 6], device='cuda:1') # Rank 1 2025-08-14T21:16:46.4827413Z 2025-08-14T21:16:46.4827556Z >>> # All tensors below are of torch.cfloat type. 2025-08-14T21:16:46.4827671Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:46.4827770Z >>> tensor = torch.tensor( 2025-08-14T21:16:46.4827923Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-14T21:16:46.4828016Z ... ) + 2 * rank * (1 + 1j) 2025-08-14T21:16:46.4828109Z >>> tensor 2025-08-14T21:16:46.4828244Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-14T21:16:46.4828374Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-14T21:16:46.4828511Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-08-14T21:16:46.4828591Z >>> tensor 2025-08-14T21:16:46.4828761Z tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0 2025-08-14T21:16:46.4828905Z tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1 2025-08-14T21:16:46.4828983Z 2025-08-14T21:16:46.4829058Z 2025-08-14T21:16:46.4829314Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4829396Z 2025-08-14T21:16:46.4829492Z warnings.warn(msg) 2025-08-14T21:16:46.4829585Z 2025-08-14T21:16:46.4829786Z --- Parse Warning: 50 / 146 --- 2025-08-14T21:16:46.4830699Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3198. 2025-08-14T21:16:46.4830953Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4831032Z 2025-08-14T21:16:46.4831260Z Gathers picklable objects from the whole group in a single process. 2025-08-14T21:16:46.4831338Z 2025-08-14T21:16:46.4831564Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2025-08-14T21:16:46.4831721Z object must be picklable in order to be gathered. 2025-08-14T21:16:46.4831802Z 2025-08-14T21:16:46.4831897Z Args: 2025-08-14T21:16:46.4832097Z obj (Any): Input object. Must be picklable. 2025-08-14T21:16:46.4832298Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2025-08-14T21:16:46.4832521Z should be correctly sized as the size of the group for this 2025-08-14T21:16:46.4832730Z collective and will contain the output. Must be ``None`` on non-dst 2025-08-14T21:16:46.4832836Z ranks. (default is ``None``) 2025-08-14T21:16:46.4833160Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2025-08-14T21:16:46.4833352Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2025-08-14T21:16:46.4833590Z group: (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:46.4833775Z the default process group will be used. Default is ``None``. 2025-08-14T21:16:46.4834106Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2025-08-14T21:16:46.4834205Z 2025-08-14T21:16:46.4834286Z Returns: 2025-08-14T21:16:46.4834463Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2025-08-14T21:16:46.4834579Z output of the collective. 2025-08-14T21:16:46.4834656Z 2025-08-14T21:16:46.4834860Z .. note:: Note that this API differs slightly from the gather collective 2025-08-14T21:16:46.4835080Z since it does not provide an async_op handle and thus will be a blocking 2025-08-14T21:16:46.4835163Z call. 2025-08-14T21:16:46.4835255Z 2025-08-14T21:16:46.4835478Z .. note:: For NCCL-based processed groups, internal tensor representations 2025-08-14T21:16:46.4835682Z of objects must be moved to the GPU device before communication takes 2025-08-14T21:16:46.4835834Z place. In this case, the device used is given by 2025-08-14T21:16:46.4836043Z ``torch.cuda.current_device()`` and it is the user's responsibility to 2025-08-14T21:16:46.4836244Z ensure that this is set so that each rank has an individual GPU, via 2025-08-14T21:16:46.4836366Z ``torch.cuda.set_device()``. 2025-08-14T21:16:46.4836443Z 2025-08-14T21:16:46.4836540Z .. warning:: 2025-08-14T21:16:46.4836769Z Object collectives have a number of serious performance and scalability 2025-08-14T21:16:46.4836938Z limitations. See :ref:`object_collectives` for details. 2025-08-14T21:16:46.4837029Z 2025-08-14T21:16:46.4837114Z .. warning:: 2025-08-14T21:16:46.4837303Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2025-08-14T21:16:46.4837551Z known to be insecure. It is possible to construct malicious pickle data 2025-08-14T21:16:46.4837758Z which will execute arbitrary code during unpickling. Only call this 2025-08-14T21:16:46.4837863Z function with data you trust. 2025-08-14T21:16:46.4837950Z 2025-08-14T21:16:46.4838034Z .. warning:: 2025-08-14T21:16:46.4838252Z Calling :func:`gather_object` with GPU tensors is not well supported 2025-08-14T21:16:46.4838465Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2025-08-14T21:16:46.4838630Z pickled. Please consider using :func:`gather` instead. 2025-08-14T21:16:46.4838718Z 2025-08-14T21:16:46.4838802Z Example:: 2025-08-14T21:16:46.4838934Z >>> # xdoctest: +SKIP("need process group init") 2025-08-14T21:16:46.4839116Z >>> # Note: Process group initialization omitted on each rank. 2025-08-14T21:16:46.4839231Z >>> import torch.distributed as dist 2025-08-14T21:16:46.4839336Z >>> # Assumes world_size of 3. 2025-08-14T21:16:46.4839518Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2025-08-14T21:16:46.4839637Z >>> output = [None for _ in gather_objects] 2025-08-14T21:16:46.4839741Z >>> dist.gather_object( 2025-08-14T21:16:46.4839859Z ... gather_objects[dist.get_rank()], 2025-08-14T21:16:46.4840038Z ... output if dist.get_rank() == 0 else None, 2025-08-14T21:16:46.4840135Z ... dst=0 2025-08-14T21:16:46.4840245Z ... ) 2025-08-14T21:16:46.4840332Z >>> # On rank 0 2025-08-14T21:16:46.4840428Z >>> output 2025-08-14T21:16:46.4840518Z ['foo', 12, {1: 2}] 2025-08-14T21:16:46.4840598Z 2025-08-14T21:16:46.4840851Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4840928Z 2025-08-14T21:16:46.4841034Z warnings.warn(msg) 2025-08-14T21:16:46.4841111Z 2025-08-14T21:16:46.4841307Z --- Parse Warning: 51 / 146 --- 2025-08-14T21:16:46.4842210Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3794. 2025-08-14T21:16:46.4842459Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4842541Z 2025-08-14T21:16:46.4842686Z Gathers tensors from the whole group in a list. 2025-08-14T21:16:46.4842766Z 2025-08-14T21:16:46.4842903Z Complex and uneven sized tensors are supported. 2025-08-14T21:16:46.4842990Z 2025-08-14T21:16:46.4843071Z Args: 2025-08-14T21:16:46.4843253Z tensor_list (list[Tensor]): Output list. It should contain 2025-08-14T21:16:46.4843456Z correctly-sized tensors to be used for output of the collective. 2025-08-14T21:16:46.4843572Z Uneven sized tensors are supported. 2025-08-14T21:16:46.4843768Z tensor (Tensor): Tensor to be broadcast from current process. 2025-08-14T21:16:46.4843987Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:46.4844107Z the default process group will be used. 2025-08-14T21:16:46.4844304Z async_op (bool, optional): Whether this op should be an async op 2025-08-14T21:16:46.4844383Z 2025-08-14T21:16:46.4844465Z Returns: 2025-08-14T21:16:46.4844613Z Async work handle, if async_op is set to True. 2025-08-14T21:16:46.4844754Z None, if not async_op or if not part of the group 2025-08-14T21:16:46.4844843Z 2025-08-14T21:16:46.4844926Z Examples: 2025-08-14T21:16:46.4845058Z >>> # xdoctest: +SKIP("need process group init") 2025-08-14T21:16:46.4845199Z >>> # All tensors below are of torch.int64 dtype. 2025-08-14T21:16:46.4845313Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:46.4845427Z >>> device = torch.device(f"cuda:{rank}") 2025-08-14T21:16:46.4845531Z >>> tensor_list = [ 2025-08-14T21:16:46.4845768Z ... torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2) 2025-08-14T21:16:46.4845849Z ... ] 2025-08-14T21:16:46.4845945Z >>> tensor_list 2025-08-14T21:16:46.4846138Z [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0 2025-08-14T21:16:46.4846340Z [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1 2025-08-14T21:16:46.4846558Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-08-14T21:16:46.4846641Z >>> tensor 2025-08-14T21:16:46.4846762Z tensor([1, 2], device='cuda:0') # Rank 0 2025-08-14T21:16:46.4846869Z tensor([3, 4], device='cuda:1') # Rank 1 2025-08-14T21:16:46.4846981Z >>> dist.all_gather(tensor_list, tensor) 2025-08-14T21:16:46.4847077Z >>> tensor_list 2025-08-14T21:16:46.4847262Z [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0 2025-08-14T21:16:46.4847458Z [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1 2025-08-14T21:16:46.4847535Z 2025-08-14T21:16:46.4847671Z >>> # All tensors below are of torch.cfloat dtype. 2025-08-14T21:16:46.4847795Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:46.4847885Z >>> tensor_list = [ 2025-08-14T21:16:46.4848142Z ... torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2) 2025-08-14T21:16:46.4848257Z ... ] 2025-08-14T21:16:46.4848342Z >>> tensor_list 2025-08-14T21:16:46.4848582Z [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0 2025-08-14T21:16:46.4848822Z [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1 2025-08-14T21:16:46.4848925Z >>> tensor = torch.tensor( 2025-08-14T21:16:46.4849076Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-08-14T21:16:46.4849168Z ... ) + 2 * rank * (1 + 1j) 2025-08-14T21:16:46.4849253Z >>> tensor 2025-08-14T21:16:46.4849397Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-08-14T21:16:46.4849526Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-08-14T21:16:46.4849641Z >>> dist.all_gather(tensor_list, tensor) 2025-08-14T21:16:46.4849739Z >>> tensor_list 2025-08-14T21:16:46.4849972Z [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0 2025-08-14T21:16:46.4850214Z [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1 2025-08-14T21:16:46.4850290Z 2025-08-14T21:16:46.4850366Z 2025-08-14T21:16:46.4850620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4850695Z 2025-08-14T21:16:46.4850791Z warnings.warn(msg) 2025-08-14T21:16:46.4850874Z 2025-08-14T21:16:46.4851065Z --- Parse Warning: 52 / 146 --- 2025-08-14T21:16:46.4851978Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4500. 2025-08-14T21:16:46.4852242Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4852322Z 2025-08-14T21:16:46.4852575Z Split input tensor and then scatter the split list to all processes in a group. 2025-08-14T21:16:46.4852652Z 2025-08-14T21:16:46.4852899Z Later the received tensors are concatenated from all the processes in the group 2025-08-14T21:16:46.4853027Z and returned as a single output tensor. 2025-08-14T21:16:46.4853105Z 2025-08-14T21:16:46.4853211Z Complex tensors are supported. 2025-08-14T21:16:46.4853299Z 2025-08-14T21:16:46.4853379Z Args: 2025-08-14T21:16:46.4853537Z output (Tensor): Gathered concatenated output tensor. 2025-08-14T21:16:46.4853700Z input (Tensor): Input tensor to scatter. 2025-08-14T21:16:46.4853916Z output_split_sizes: (list[Int], optional): Output split sizes for dim 0 2025-08-14T21:16:46.4854126Z if specified None or empty, dim 0 of ``output`` tensor must divide 2025-08-14T21:16:46.4854229Z equally by ``world_size``. 2025-08-14T21:16:46.4854440Z input_split_sizes: (list[Int], optional): Input split sizes for dim 0 2025-08-14T21:16:46.4854650Z if specified None or empty, dim 0 of ``input`` tensor must divide 2025-08-14T21:16:46.4854751Z equally by ``world_size``. 2025-08-14T21:16:46.4854972Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:46.4855107Z the default process group will be used. 2025-08-14T21:16:46.4855296Z async_op (bool, optional): Whether this op should be an async op. 2025-08-14T21:16:46.4855391Z 2025-08-14T21:16:46.4855473Z Returns: 2025-08-14T21:16:46.4855610Z Async work handle, if async_op is set to True. 2025-08-14T21:16:46.4855763Z None, if not async_op or if not part of the group. 2025-08-14T21:16:46.4855837Z 2025-08-14T21:16:46.4855925Z .. warning:: 2025-08-14T21:16:46.4856100Z `all_to_all_single` is experimental and subject to change. 2025-08-14T21:16:46.4856205Z 2025-08-14T21:16:46.4856318Z Examples: 2025-08-14T21:16:46.4856446Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-14T21:16:46.4856584Z >>> input = torch.arange(4) + rank * 4 2025-08-14T21:16:46.4856665Z >>> input 2025-08-14T21:16:46.4856773Z tensor([0, 1, 2, 3]) # Rank 0 2025-08-14T21:16:46.4856868Z tensor([4, 5, 6, 7]) # Rank 1 2025-08-14T21:16:46.4856978Z tensor([8, 9, 10, 11]) # Rank 2 2025-08-14T21:16:46.4857070Z tensor([12, 13, 14, 15]) # Rank 3 2025-08-14T21:16:46.4857204Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-14T21:16:46.4857336Z >>> dist.all_to_all_single(output, input) 2025-08-14T21:16:46.4857417Z >>> output 2025-08-14T21:16:46.4857512Z tensor([0, 4, 8, 12]) # Rank 0 2025-08-14T21:16:46.4857630Z tensor([1, 5, 9, 13]) # Rank 1 2025-08-14T21:16:46.4857724Z tensor([2, 6, 10, 14]) # Rank 2 2025-08-14T21:16:46.4857816Z tensor([3, 7, 11, 15]) # Rank 3 2025-08-14T21:16:46.4857913Z 2025-08-14T21:16:46.4858073Z >>> # Essentially, it is similar to following operation: 2025-08-14T21:16:46.4858225Z >>> scatter_list = list(input.chunk(world_size)) 2025-08-14T21:16:46.4858358Z >>> gather_list = list(output.chunk(world_size)) 2025-08-14T21:16:46.4858461Z >>> for i in range(world_size): 2025-08-14T21:16:46.4858695Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i) 2025-08-14T21:16:46.4858774Z 2025-08-14T21:16:46.4858888Z >>> # Another example with uneven split 2025-08-14T21:16:46.4858985Z >>> input 2025-08-14T21:16:46.4859139Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-14T21:16:46.4859294Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-14T21:16:46.4859458Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-14T21:16:46.4859616Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-14T21:16:46.4859725Z >>> input_splits 2025-08-14T21:16:46.4859851Z [2, 2, 1, 1] # Rank 0 2025-08-14T21:16:46.4859971Z [3, 2, 2, 2] # Rank 1 2025-08-14T21:16:46.4860103Z [2, 1, 1, 1] # Rank 2 2025-08-14T21:16:46.4860221Z [2, 2, 2, 1] # Rank 3 2025-08-14T21:16:46.4860317Z >>> output_splits 2025-08-14T21:16:46.4860493Z [2, 3, 2, 2] # Rank 0 2025-08-14T21:16:46.4860612Z [2, 2, 1, 2] # Rank 1 2025-08-14T21:16:46.4860744Z [1, 2, 1, 2] # Rank 2 2025-08-14T21:16:46.4860866Z [1, 2, 1, 1] # Rank 3 2025-08-14T21:16:46.4860961Z >>> output = ... 2025-08-14T21:16:46.4861179Z >>> dist.all_to_all_single(output, input, output_splits, input_splits) 2025-08-14T21:16:46.4861263Z >>> output 2025-08-14T21:16:46.4861412Z tensor([ 0, 1, 10, 11, 12, 20, 21, 30, 31]) # Rank 0 2025-08-14T21:16:46.4861578Z tensor([ 2, 3, 13, 14, 22, 32, 33]) # Rank 1 2025-08-14T21:16:46.4861730Z tensor([ 4, 15, 16, 23, 34, 35]) # Rank 2 2025-08-14T21:16:46.4861896Z tensor([ 5, 17, 18, 24, 36]) # Rank 3 2025-08-14T21:16:46.4861976Z 2025-08-14T21:16:46.4862055Z 2025-08-14T21:16:46.4862227Z >>> # Another example with tensors of torch.cfloat type. 2025-08-14T21:16:46.4862328Z >>> input = torch.tensor( 2025-08-14T21:16:46.4862465Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-14T21:16:46.4862631Z ... ) + 4 * rank * (1 + 1j) 2025-08-14T21:16:46.4862718Z >>> input 2025-08-14T21:16:46.4862914Z tensor([1+1j, 2+2j, 3+3j, 4+4j]) # Rank 0 2025-08-14T21:16:46.4863093Z tensor([5+5j, 6+6j, 7+7j, 8+8j]) # Rank 1 2025-08-14T21:16:46.4863262Z tensor([9+9j, 10+10j, 11+11j, 12+12j]) # Rank 2 2025-08-14T21:16:46.4863453Z tensor([13+13j, 14+14j, 15+15j, 16+16j]) # Rank 3 2025-08-14T21:16:46.4863592Z >>> output = torch.empty([4], dtype=torch.int64) 2025-08-14T21:16:46.4863715Z >>> dist.all_to_all_single(output, input) 2025-08-14T21:16:46.4863810Z >>> output 2025-08-14T21:16:46.4863976Z tensor([1+1j, 5+5j, 9+9j, 13+13j]) # Rank 0 2025-08-14T21:16:46.4864142Z tensor([2+2j, 6+6j, 10+10j, 14+14j]) # Rank 1 2025-08-14T21:16:46.4864321Z tensor([3+3j, 7+7j, 11+11j, 15+15j]) # Rank 2 2025-08-14T21:16:46.4864488Z tensor([4+4j, 8+8j, 12+12j, 16+16j]) # Rank 3 2025-08-14T21:16:46.4864580Z 2025-08-14T21:16:46.4864818Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4864895Z 2025-08-14T21:16:46.4865002Z warnings.warn(msg) 2025-08-14T21:16:46.4865079Z 2025-08-14T21:16:46.4865282Z --- Parse Warning: 53 / 146 --- 2025-08-14T21:16:46.4866289Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4642. 2025-08-14T21:16:46.4866544Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4866638Z 2025-08-14T21:16:46.4866987Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. 2025-08-14T21:16:46.4867065Z 2025-08-14T21:16:46.4867188Z Complex tensors are supported. 2025-08-14T21:16:46.4867265Z 2025-08-14T21:16:46.4867344Z Args: 2025-08-14T21:16:46.4867565Z output_tensor_list (list[Tensor]): List of tensors to be gathered one 2025-08-14T21:16:46.4867653Z per rank. 2025-08-14T21:16:46.4867874Z input_tensor_list (list[Tensor]): List of tensors to scatter one per rank. 2025-08-14T21:16:46.4868109Z group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:46.4868230Z the default process group will be used. 2025-08-14T21:16:46.4868481Z async_op (bool, optional): Whether this op should be an async op. 2025-08-14T21:16:46.4868561Z 2025-08-14T21:16:46.4868646Z Returns: 2025-08-14T21:16:46.4868793Z Async work handle, if async_op is set to True. 2025-08-14T21:16:46.4868931Z None, if not async_op or if not part of the group. 2025-08-14T21:16:46.4869013Z 2025-08-14T21:16:46.4869123Z .. warning:: 2025-08-14T21:16:46.4869268Z `all_to_all` is experimental and subject to change. 2025-08-14T21:16:46.4869345Z 2025-08-14T21:16:46.4869441Z Examples: 2025-08-14T21:16:46.4869555Z >>> # xdoctest: +SKIP("Undefined rank") 2025-08-14T21:16:46.4869665Z >>> input = torch.arange(4) + rank * 4 2025-08-14T21:16:46.4869782Z >>> input = list(input.chunk(4)) 2025-08-14T21:16:46.4869864Z >>> input 2025-08-14T21:16:46.4870039Z [tensor([0]), tensor([1]), tensor([2]), tensor([3])] # Rank 0 2025-08-14T21:16:46.4870201Z [tensor([4]), tensor([5]), tensor([6]), tensor([7])] # Rank 1 2025-08-14T21:16:46.4870358Z [tensor([8]), tensor([9]), tensor([10]), tensor([11])] # Rank 2 2025-08-14T21:16:46.4870529Z [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3 2025-08-14T21:16:46.4870705Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-14T21:16:46.4870872Z >>> dist.all_to_all(output, input) 2025-08-14T21:16:46.4870992Z >>> output 2025-08-14T21:16:46.4871149Z [tensor([0]), tensor([4]), tensor([8]), tensor([12])] # Rank 0 2025-08-14T21:16:46.4871318Z [tensor([1]), tensor([5]), tensor([9]), tensor([13])] # Rank 1 2025-08-14T21:16:46.4871475Z [tensor([2]), tensor([6]), tensor([10]), tensor([14])] # Rank 2 2025-08-14T21:16:46.4871631Z [tensor([3]), tensor([7]), tensor([11]), tensor([15])] # Rank 3 2025-08-14T21:16:46.4871723Z 2025-08-14T21:16:46.4871880Z >>> # Essentially, it is similar to following operation: 2025-08-14T21:16:46.4871981Z >>> scatter_list = input 2025-08-14T21:16:46.4872091Z >>> gather_list = output 2025-08-14T21:16:46.4872194Z >>> for i in range(world_size): 2025-08-14T21:16:46.4872411Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i) 2025-08-14T21:16:46.4872503Z 2025-08-14T21:16:46.4872586Z >>> input 2025-08-14T21:16:46.4872749Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-08-14T21:16:46.4872904Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-08-14T21:16:46.4873052Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-08-14T21:16:46.4873215Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-08-14T21:16:46.4873307Z >>> input_splits 2025-08-14T21:16:46.4873427Z [2, 2, 1, 1] # Rank 0 2025-08-14T21:16:46.4873557Z [3, 2, 2, 2] # Rank 1 2025-08-14T21:16:46.4873673Z [2, 1, 1, 1] # Rank 2 2025-08-14T21:16:46.4873801Z [2, 2, 2, 1] # Rank 3 2025-08-14T21:16:46.4873895Z >>> output_splits 2025-08-14T21:16:46.4874012Z [2, 3, 2, 2] # Rank 0 2025-08-14T21:16:46.4874142Z [2, 2, 1, 2] # Rank 1 2025-08-14T21:16:46.4874260Z [1, 2, 1, 2] # Rank 2 2025-08-14T21:16:46.4874376Z [1, 2, 1, 1] # Rank 3 2025-08-14T21:16:46.4874512Z >>> input = list(input.split(input_splits)) 2025-08-14T21:16:46.4874593Z >>> input 2025-08-14T21:16:46.4874830Z [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])] # Rank 0 2025-08-14T21:16:46.4875025Z [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1 2025-08-14T21:16:46.4875217Z [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])] # Rank 2 2025-08-14T21:16:46.4875427Z [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])] # Rank 3 2025-08-14T21:16:46.4875519Z >>> output = ... 2025-08-14T21:16:46.4875632Z >>> dist.all_to_all(output, input) 2025-08-14T21:16:46.4875726Z >>> output 2025-08-14T21:16:46.4875919Z [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])] # Rank 0 2025-08-14T21:16:46.4876327Z [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])] # Rank 1 2025-08-14T21:16:46.4876521Z [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])] # Rank 2 2025-08-14T21:16:46.4876714Z [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])] # Rank 3 2025-08-14T21:16:46.4876807Z 2025-08-14T21:16:46.4876964Z >>> # Another example with tensors of torch.cfloat type. 2025-08-14T21:16:46.4877064Z >>> input = torch.tensor( 2025-08-14T21:16:46.4877218Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-08-14T21:16:46.4877438Z ... ) + 4 * rank * (1 + 1j) 2025-08-14T21:16:46.4877561Z >>> input = list(input.chunk(4)) 2025-08-14T21:16:46.4877727Z >>> input 2025-08-14T21:16:46.4877933Z [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])] # Rank 0 2025-08-14T21:16:46.4878146Z [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])] # Rank 1 2025-08-14T21:16:46.4878352Z [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])] # Rank 2 2025-08-14T21:16:46.4878563Z [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])] # Rank 3 2025-08-14T21:16:46.4878755Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-08-14T21:16:46.4878865Z >>> dist.all_to_all(output, input) 2025-08-14T21:16:46.4878959Z >>> output 2025-08-14T21:16:46.4879164Z [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])] # Rank 0 2025-08-14T21:16:46.4879369Z [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])] # Rank 1 2025-08-14T21:16:46.4879586Z [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])] # Rank 2 2025-08-14T21:16:46.4879785Z [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])] # Rank 3 2025-08-14T21:16:46.4879863Z 2025-08-14T21:16:46.4879952Z 2025-08-14T21:16:46.4880197Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4880286Z 2025-08-14T21:16:46.4880381Z warnings.warn(msg) 2025-08-14T21:16:46.4880457Z 2025-08-14T21:16:46.4880697Z --- Parse Warning: 54 / 146 --- 2025-08-14T21:16:46.4881503Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2. 2025-08-14T21:16:46.4881757Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4881850Z 2025-08-14T21:16:46.4881969Z Module ``torch.distributed.launch``. 2025-08-14T21:16:46.4882045Z 2025-08-14T21:16:46.4882297Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2025-08-14T21:16:46.4882447Z training processes on each of the training nodes. 2025-08-14T21:16:46.4882540Z 2025-08-14T21:16:46.4882630Z .. warning:: 2025-08-14T21:16:46.4882709Z 2025-08-14T21:16:46.4882964Z This module is going to be deprecated in favor of :ref:`torchrun `. 2025-08-14T21:16:46.4883043Z 2025-08-14T21:16:46.4883323Z The utility can be used for single-node distributed training, in which one or 2025-08-14T21:16:46.4883565Z more processes per node will be spawned. The utility can be used for either 2025-08-14T21:16:46.4883773Z CPU training or GPU training. If the utility is used for GPU training, 2025-08-14T21:16:46.4884012Z each distributed process will be operating on a single GPU. This can achieve 2025-08-14T21:16:46.4884248Z well-improved single-node training performance. It can also be used in 2025-08-14T21:16:46.4884504Z multi-node distributed training, by spawning up multiple processes on each node 2025-08-14T21:16:46.4884735Z for well-improved multi-node distributed training performance as well. 2025-08-14T21:16:46.4884955Z This will especially be beneficial for systems with multiple Infiniband 2025-08-14T21:16:46.4885198Z interfaces that have direct-GPU support, since all of them can be utilized for 2025-08-14T21:16:46.4885321Z aggregated communication bandwidth. 2025-08-14T21:16:46.4885402Z 2025-08-14T21:16:46.4885626Z In both cases of single-node distributed training or multi-node distributed 2025-08-14T21:16:46.4885865Z training, this utility will launch the given number of processes per node 2025-08-14T21:16:46.4886084Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2025-08-14T21:16:46.4886396Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2025-08-14T21:16:46.4886625Z and each process will be operating on a single GPU from *GPU 0 to 2025-08-14T21:16:46.4886729Z GPU (nproc_per_node - 1)*. 2025-08-14T21:16:46.4886824Z 2025-08-14T21:16:46.4886925Z **How to use this module:** 2025-08-14T21:16:46.4887004Z 2025-08-14T21:16:46.4887168Z 1. Single-Node multi-process distributed training 2025-08-14T21:16:46.4887247Z 2025-08-14T21:16:46.4887333Z :: 2025-08-14T21:16:46.4887427Z 2025-08-14T21:16:46.4887662Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-14T21:16:46.4887859Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2025-08-14T21:16:46.4887982Z arguments of your training script) 2025-08-14T21:16:46.4888061Z 2025-08-14T21:16:46.4888278Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2025-08-14T21:16:46.4888358Z 2025-08-14T21:16:46.4888439Z 2025-08-14T21:16:46.4888591Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2025-08-14T21:16:46.4888673Z 2025-08-14T21:16:46.4888754Z :: 2025-08-14T21:16:46.4888847Z 2025-08-14T21:16:46.4889075Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-14T21:16:46.4889231Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2025-08-14T21:16:46.4889444Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-14T21:16:46.4889595Z and all other arguments of your training script) 2025-08-14T21:16:46.4889690Z 2025-08-14T21:16:46.4889773Z Node 2: 2025-08-14T21:16:46.4889852Z 2025-08-14T21:16:46.4889948Z :: 2025-08-14T21:16:46.4890026Z 2025-08-14T21:16:46.4890252Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-08-14T21:16:46.4890424Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2025-08-14T21:16:46.4890626Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-08-14T21:16:46.4890777Z and all other arguments of your training script) 2025-08-14T21:16:46.4890871Z 2025-08-14T21:16:46.4891026Z 3. To look up what optional arguments this module offers: 2025-08-14T21:16:46.4891117Z 2025-08-14T21:16:46.4891195Z :: 2025-08-14T21:16:46.4891274Z 2025-08-14T21:16:46.4891424Z python -m torch.distributed.launch --help 2025-08-14T21:16:46.4891502Z 2025-08-14T21:16:46.4891580Z 2025-08-14T21:16:46.4891693Z **Important Notices:** 2025-08-14T21:16:46.4891799Z 2025-08-14T21:16:46.4891985Z 1. This utility and multi-process distributed (single-node or 2025-08-14T21:16:46.4892234Z multi-node) GPU training currently only achieves the best performance using 2025-08-14T21:16:46.4892474Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2025-08-14T21:16:46.4892573Z use for GPU training. 2025-08-14T21:16:46.4892663Z 2025-08-14T21:16:46.4892870Z 2. In your training program, you must parse the command-line argument: 2025-08-14T21:16:46.4893109Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2025-08-14T21:16:46.4893327Z If your training program uses GPUs, you should ensure that your code only 2025-08-14T21:16:46.4893511Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2025-08-14T21:16:46.4893601Z 2025-08-14T21:16:46.4893706Z Parsing the local_rank argument 2025-08-14T21:16:46.4893782Z 2025-08-14T21:16:46.4893872Z :: 2025-08-14T21:16:46.4893951Z 2025-08-14T21:16:46.4894046Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4894153Z >>> import argparse 2025-08-14T21:16:46.4894277Z >>> parser = argparse.ArgumentParser() 2025-08-14T21:16:46.4894476Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2025-08-14T21:16:46.4894635Z >>> args = parser.parse_args() 2025-08-14T21:16:46.4894714Z 2025-08-14T21:16:46.4894873Z Set your device to local rank using either 2025-08-14T21:16:46.4894950Z 2025-08-14T21:16:46.4895028Z :: 2025-08-14T21:16:46.4895117Z 2025-08-14T21:16:46.4895308Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2025-08-14T21:16:46.4895385Z 2025-08-14T21:16:46.4895474Z or 2025-08-14T21:16:46.4895553Z 2025-08-14T21:16:46.4895631Z :: 2025-08-14T21:16:46.4895722Z 2025-08-14T21:16:46.4895855Z >>> with torch.cuda.device(args.local_rank): 2025-08-14T21:16:46.4895956Z >>> # your code to run 2025-08-14T21:16:46.4896052Z >>> ... 2025-08-14T21:16:46.4896132Z 2025-08-14T21:16:46.4896249Z .. versionchanged:: 2.0.0 2025-08-14T21:16:46.4896326Z 2025-08-14T21:16:46.4896564Z The launcher will passes the ``--local-rank=`` argument to your script. 2025-08-14T21:16:46.4896809Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2025-08-14T21:16:46.4896950Z previously used underscored ``--local_rank``. 2025-08-14T21:16:46.4897026Z 2025-08-14T21:16:46.4897268Z For backward compatibility, it may be necessary for users to handle both 2025-08-14T21:16:46.4897522Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2025-08-14T21:16:46.4897741Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2025-08-14T21:16:46.4897980Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2025-08-14T21:16:46.4898205Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2025-08-14T21:16:46.4898361Z including ``"--local-rank"`` should be sufficient. 2025-08-14T21:16:46.4898439Z 2025-08-14T21:16:46.4898660Z 3. In your training program, you are supposed to call the following function 2025-08-14T21:16:46.4898904Z at the beginning to start the distributed backend. It is strongly recommended 2025-08-14T21:16:46.4899117Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2025-08-14T21:16:46.4899315Z but ``env://`` is the one that is officially supported by this module. 2025-08-14T21:16:46.4899392Z 2025-08-14T21:16:46.4899471Z :: 2025-08-14T21:16:46.4899559Z 2025-08-14T21:16:46.4899755Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2025-08-14T21:16:46.4899891Z >>> init_method='env://') 2025-08-14T21:16:46.4899981Z 2025-08-14T21:16:46.4900236Z 4. In your training program, you can either use regular distributed functions 2025-08-14T21:16:46.4900470Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2025-08-14T21:16:46.4900680Z training program uses GPUs for training and you would like to use 2025-08-14T21:16:46.4900868Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2025-08-14T21:16:46.4900990Z here is how to configure it. 2025-08-14T21:16:46.4901069Z 2025-08-14T21:16:46.4901150Z :: 2025-08-14T21:16:46.4901239Z 2025-08-14T21:16:46.4901431Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2025-08-14T21:16:46.4901568Z >>> device_ids=[args.local_rank], 2025-08-14T21:16:46.4901717Z >>> output_device=args.local_rank) 2025-08-14T21:16:46.4901798Z 2025-08-14T21:16:46.4902029Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2025-08-14T21:16:46.4902266Z that your code will be operating on. This is generally the local rank of the 2025-08-14T21:16:46.4902493Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2025-08-14T21:16:46.4902715Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2025-08-14T21:16:46.4902837Z utility 2025-08-14T21:16:46.4902939Z 2025-08-14T21:16:46.4903186Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2025-08-14T21:16:46.4903419Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2025-08-14T21:16:46.4903626Z ``--use-env=True``. You must adjust the subprocess example above to replace 2025-08-14T21:16:46.4903827Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2025-08-14T21:16:46.4903991Z will not pass ``--local-rank`` when you specify this flag. 2025-08-14T21:16:46.4904083Z 2025-08-14T21:16:46.4904170Z .. warning:: 2025-08-14T21:16:46.4904252Z 2025-08-14T21:16:46.4904460Z ``local_rank`` is NOT globally unique: it is only unique per process 2025-08-14T21:16:46.4904640Z on a machine. Thus, don't use it to decide if you should, e.g., 2025-08-14T21:16:46.4904762Z write to a networked filesystem. See 2025-08-14T21:16:46.4904987Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2025-08-14T21:16:46.4905145Z how things can go wrong if you don't do this correctly. 2025-08-14T21:16:46.4905224Z 2025-08-14T21:16:46.4905313Z 2025-08-14T21:16:46.4905391Z 2025-08-14T21:16:46.4905466Z 2025-08-14T21:16:46.4905845Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4905926Z 2025-08-14T21:16:46.4906036Z warnings.warn(msg) 2025-08-14T21:16:46.4906114Z 2025-08-14T21:16:46.4906340Z --- Parse Warning: 55 / 146 --- 2025-08-14T21:16:46.4907348Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2025-08-14T21:16:46.4907599Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4907679Z 2025-08-14T21:16:46.4907923Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2025-08-14T21:16:46.4908066Z Needs to be called on all ranks in an SPMD fashion. 2025-08-14T21:16:46.4908159Z 2025-08-14T21:16:46.4908241Z Args: 2025-08-14T21:16:46.4908501Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2025-08-14T21:16:46.4908676Z of shards that represent the local shards on this rank. 2025-08-14T21:16:46.4908892Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2025-08-14T21:16:46.4909009Z shape of the overall sharded tensor. 2025-08-14T21:16:46.4909145Z 2025-08-14T21:16:46.4909234Z Keyword args: 2025-08-14T21:16:46.4909484Z process_group (ProcessGroup, optional): The process group to work on. If None, 2025-08-14T21:16:46.4909618Z the default process group will be used. 2025-08-14T21:16:46.4909784Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-14T21:16:46.4910002Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-14T21:16:46.4910190Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-14T21:16:46.4910285Z Default: ``False``. 2025-08-14T21:16:46.4910373Z 2025-08-14T21:16:46.4910455Z Returns: 2025-08-14T21:16:46.4910599Z A :class:`ShardedTensor` object handle on this rank 2025-08-14T21:16:46.4910688Z 2025-08-14T21:16:46.4910764Z 2025-08-14T21:16:46.4910848Z Examples: 2025-08-14T21:16:46.4911104Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2025-08-14T21:16:46.4911282Z each shard have a (5, 5) local tensor, we can do it like below: 2025-08-14T21:16:46.4911375Z 2025-08-14T21:16:46.4911460Z on rank 0: 2025-08-14T21:16:46.4911578Z >>> # xdoctest: +SKIP("not distributed") 2025-08-14T21:16:46.4911713Z >>> local_shard_metadata = ShardMetadata( 2025-08-14T21:16:46.4912498Z >>> shard_offsets=[0, 0], 2025-08-14T21:16:46.4912642Z >>> shard_lengths=[5, 5], 2025-08-14T21:16:46.4912764Z >>> placement="rank:0/cuda:0" 2025-08-14T21:16:46.4912845Z >>> ) 2025-08-14T21:16:46.4913037Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-14T21:16:46.4913236Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-14T21:16:46.4913313Z 2025-08-14T21:16:46.4913397Z on rank 1: 2025-08-14T21:16:46.4913526Z >>> # xdoctest: +SKIP("not distributed") 2025-08-14T21:16:46.4913645Z >>> local_shard_metadata = ShardMetadata( 2025-08-14T21:16:46.4913757Z >>> shard_offsets=[5, 0], 2025-08-14T21:16:46.4913853Z >>> shard_lengths=[5, 5], 2025-08-14T21:16:46.4913956Z >>> placement="rank:1/cuda:1" 2025-08-14T21:16:46.4914047Z >>> ) 2025-08-14T21:16:46.4914236Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-08-14T21:16:46.4914422Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-08-14T21:16:46.4914515Z 2025-08-14T21:16:46.4914757Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4914833Z 2025-08-14T21:16:46.4914938Z warnings.warn(msg) 2025-08-14T21:16:46.4915027Z 2025-08-14T21:16:46.4915244Z --- Parse Warning: 56 / 146 --- 2025-08-14T21:16:46.4916280Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835. 2025-08-14T21:16:46.4916533Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4916627Z 2025-08-14T21:16:46.4916875Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2025-08-14T21:16:46.4916990Z size and sharding spec on each rank. 2025-08-14T21:16:46.4917084Z 2025-08-14T21:16:46.4917168Z Args: 2025-08-14T21:16:46.4917398Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2025-08-14T21:16:46.4917649Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2025-08-14T21:16:46.4917812Z The specification describing how to shard the Tensor. 2025-08-14T21:16:46.4917990Z global_size (Sequence[int]): Size of the sharded tensor. 2025-08-14T21:16:46.4918269Z process_group (ProcessGroup, optional): The process group to aggregate on. 2025-08-14T21:16:46.4918363Z Default: None 2025-08-14T21:16:46.4918542Z init_rrefs (bool, optional): Whether or not to initialize 2025-08-14T21:16:46.4918746Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-08-14T21:16:46.4918945Z Need to initialize the RPC Framework if specified as ``True``. 2025-08-14T21:16:46.4919051Z Default: ``False``. 2025-08-14T21:16:46.4919133Z 2025-08-14T21:16:46.4919231Z Returns: 2025-08-14T21:16:46.4919464Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2025-08-14T21:16:46.4919580Z tensor stored in the current rank. 2025-08-14T21:16:46.4919675Z 2025-08-14T21:16:46.4919761Z Examples: 2025-08-14T21:16:46.4919858Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4920009Z >>> # All tensors below are of torch.int64 type. 2025-08-14T21:16:46.4920124Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:46.4920297Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2025-08-14T21:16:46.4920504Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2025-08-14T21:16:46.4920594Z >>> local_tensor 2025-08-14T21:16:46.4920706Z tensor([[1, 2, 3, 4]]) # Rank 0 2025-08-14T21:16:46.4920835Z tensor([[3, 4, 5, 6]]) # Rank 1 2025-08-14T21:16:46.4920979Z >>> sharding_dim = 0 2025-08-14T21:16:46.4921139Z >>> sharding_spec = ChunkShardingSpec( 2025-08-14T21:16:46.4921236Z dim=sharding_dim, 2025-08-14T21:16:46.4921330Z placements=[ 2025-08-14T21:16:46.4921441Z "rank:0/cuda:0", 2025-08-14T21:16:46.4921533Z "rank:1/cuda:1", 2025-08-14T21:16:46.4921613Z ], 2025-08-14T21:16:46.4921705Z ) 2025-08-14T21:16:46.4921837Z >>> st = ShardedTensor._init_from_local_tensor( 2025-08-14T21:16:46.4921975Z ... local_tensor, sharding_spec, [2, 4] 2025-08-14T21:16:46.4922057Z ... ) 2025-08-14T21:16:46.4922140Z >>> st 2025-08-14T21:16:46.4922244Z ShardedTensor( 2025-08-14T21:16:46.4922347Z ShardedTensorMetadata( 2025-08-14T21:16:46.4922441Z shards_metadata=[ 2025-08-14T21:16:46.4922713Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2025-08-14T21:16:46.4922967Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2025-08-14T21:16:46.4923050Z ], 2025-08-14T21:16:46.4923163Z size=torch.Size([2, 4]) 2025-08-14T21:16:46.4923242Z ) 2025-08-14T21:16:46.4923346Z >>> st.local_tensor() 2025-08-14T21:16:46.4923441Z tensor([1, 2, 3, 4]) # Rank 0 2025-08-14T21:16:46.4923534Z tensor([3, 4, 5, 6]) # Rank 1 2025-08-14T21:16:46.4923622Z 2025-08-14T21:16:46.4923878Z Warning: This API is experimental and subject to change. It lacks of a fully across 2025-08-14T21:16:46.4924116Z rank validations, and we only validate the local shard on the current rank. 2025-08-14T21:16:46.4924332Z We fully rely on the user to ensure local tensor is sharded based on the 2025-08-14T21:16:46.4924425Z sharding spec. 2025-08-14T21:16:46.4924501Z 2025-08-14T21:16:46.4924760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4924839Z 2025-08-14T21:16:46.4924944Z warnings.warn(msg) 2025-08-14T21:16:46.4925027Z 2025-08-14T21:16:46.4925223Z --- Parse Warning: 57 / 146 --- 2025-08-14T21:16:46.4926221Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076. 2025-08-14T21:16:46.4926474Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4926590Z 2025-08-14T21:16:46.4926846Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2025-08-14T21:16:46.4926941Z single local shard. 2025-08-14T21:16:46.4927033Z 2025-08-14T21:16:46.4927244Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2025-08-14T21:16:46.4927480Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2025-08-14T21:16:46.4927601Z we swap local shards directly. 2025-08-14T21:16:46.4927850Z For more generic cases, we merge different shards across different ranks and split 2025-08-14T21:16:46.4928086Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2025-08-14T21:16:46.4928174Z 2025-08-14T21:16:46.4928254Z Args: 2025-08-14T21:16:46.4928533Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2025-08-14T21:16:46.4928712Z specification describing how the tensor is sharded. 2025-08-14T21:16:46.4928789Z 2025-08-14T21:16:46.4928885Z Returns: 2025-08-14T21:16:46.4929082Z A :class:`ShardedTensor` object whose local shards are resharded. 2025-08-14T21:16:46.4929161Z 2025-08-14T21:16:46.4929254Z Examples: 2025-08-14T21:16:46.4929348Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4929521Z >>> # We have 2 process groups, 2 ranks. 2025-08-14T21:16:46.4929702Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2025-08-14T21:16:46.4929847Z >>> tensor = torch.stack([tensor, tensor]) 2025-08-14T21:16:46.4929929Z >>> tensor 2025-08-14T21:16:46.4930058Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2025-08-14T21:16:46.4930173Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2025-08-14T21:16:46.4930297Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2025-08-14T21:16:46.4930416Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2025-08-14T21:16:46.4930511Z >>> sharding_dim = 0 2025-08-14T21:16:46.4930635Z >>> spec = ChunkShardingSpec( 2025-08-14T21:16:46.4930735Z dim=sharding_dim, 2025-08-14T21:16:46.4930827Z placements=[ 2025-08-14T21:16:46.4930933Z "rank:0/cuda:0", 2025-08-14T21:16:46.4931025Z "rank:1/cuda:1", 2025-08-14T21:16:46.4931121Z "rank:2/cuda:2", 2025-08-14T21:16:46.4931223Z "rank:3/cuda:3", 2025-08-14T21:16:46.4931305Z ], 2025-08-14T21:16:46.4931384Z ) 2025-08-14T21:16:46.4931497Z >>> current_offsets = [0] * 2 2025-08-14T21:16:46.4931601Z >>> current_offsets[0] = rank * 2 2025-08-14T21:16:46.4931722Z >>> shard_metadata = ShardMetadata( 2025-08-14T21:16:46.4931865Z shard_offsets=copy.deepcopy(current_offsets), 2025-08-14T21:16:46.4931970Z shard_sizes=tensor.size(), 2025-08-14T21:16:46.4932102Z placement=spec.placements[rank], 2025-08-14T21:16:46.4932184Z ) 2025-08-14T21:16:46.4932276Z >>> local_shards = [ 2025-08-14T21:16:46.4932374Z Shard( 2025-08-14T21:16:46.4932468Z tensor=tensor, 2025-08-14T21:16:46.4932574Z metadata=shard_metadata, 2025-08-14T21:16:46.4932668Z ) 2025-08-14T21:16:46.4932752Z ] 2025-08-14T21:16:46.4932974Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2025-08-14T21:16:46.4933082Z >>> sharding_dim = 1 2025-08-14T21:16:46.4933202Z >>> resharding_spec = ChunkShardingSpec( 2025-08-14T21:16:46.4933308Z dim=sharding_dim, 2025-08-14T21:16:46.4933400Z placements=[ 2025-08-14T21:16:46.4933491Z "rank:0/cuda:0", 2025-08-14T21:16:46.4933592Z "rank:1/cuda:1", 2025-08-14T21:16:46.4933681Z "rank:2/cuda:2", 2025-08-14T21:16:46.4933772Z "rank:3/cuda:3", 2025-08-14T21:16:46.4933894Z ], 2025-08-14T21:16:46.4933973Z ) 2025-08-14T21:16:46.4934078Z >>> st.reshard(resharding_spec) 2025-08-14T21:16:46.4934202Z >>> tensor = st.local_shards()[0].tensor 2025-08-14T21:16:46.4934284Z >>> tensor 2025-08-14T21:16:46.4934433Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2025-08-14T21:16:46.4934572Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2025-08-14T21:16:46.4934708Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2025-08-14T21:16:46.4934856Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2025-08-14T21:16:46.4934934Z 2025-08-14T21:16:46.4935177Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4935267Z 2025-08-14T21:16:46.4935362Z warnings.warn(msg) 2025-08-14T21:16:46.4935441Z 2025-08-14T21:16:46.4935647Z --- Parse Warning: 58 / 146 --- 2025-08-14T21:16:46.4936581Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2025-08-14T21:16:46.4936847Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4936954Z 2025-08-14T21:16:46.4937190Z Representation of a sharding plan, describes how to shard a module 2025-08-14T21:16:46.4937485Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2025-08-14T21:16:46.4937756Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2025-08-14T21:16:46.4937992Z layout of a module with a spec, and when to convert back to data parallel fashion. 2025-08-14T21:16:46.4938080Z 2025-08-14T21:16:46.4938160Z Args: 2025-08-14T21:16:46.4938430Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2025-08-14T21:16:46.4938601Z :class:`torch.distributed._shard.sharder.Sharder`]): 2025-08-14T21:16:46.4938861Z a dict describes how to shard a module, there're currently two ways to shard a module: 2025-08-14T21:16:46.4939117Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2025-08-14T21:16:46.4939242Z a parameter to a `ShardingSpec`. 2025-08-14T21:16:46.4939490Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2025-08-14T21:16:46.4939609Z to a `Sharder` object. 2025-08-14T21:16:46.4939927Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2025-08-14T21:16:46.4940186Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2025-08-14T21:16:46.4940411Z keyed by the name of module to ShardingSpec("" in key means the root module). 2025-08-14T21:16:46.4940510Z Default: `None` 2025-08-14T21:16:46.4940770Z return_local_tensor (List[str], optional): a list of string, each element enables 2025-08-14T21:16:46.4941001Z a module's sharded output to be returned as a Tensor from its local shards to 2025-08-14T21:16:46.4941258Z ensure further processing in a data parallel fashion. ("" in list means the 2025-08-14T21:16:46.4941353Z root module). 2025-08-14T21:16:46.4941445Z Default: None 2025-08-14T21:16:46.4941544Z Example: 2025-08-14T21:16:46.4941815Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2025-08-14T21:16:46.4942086Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2025-08-14T21:16:46.4942176Z 2025-08-14T21:16:46.4942341Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2025-08-14T21:16:46.4942447Z >>> class MyModule(nn.Module): 2025-08-14T21:16:46.4942592Z >>> def __init__(self) -> None: 2025-08-14T21:16:46.4942690Z >>> super().__init__() 2025-08-14T21:16:46.4942803Z >>> self.fc1 = nn.Linear() 2025-08-14T21:16:46.4942901Z >>> self.gelu = nn.GELU() 2025-08-14T21:16:46.4942999Z >>> self.fc2 = nn.Linear() 2025-08-14T21:16:46.4943116Z >>> self.relu = nn.Linear() 2025-08-14T21:16:46.4943196Z >>> 2025-08-14T21:16:46.4943298Z >>> def forward(self, input): 2025-08-14T21:16:46.4943478Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2025-08-14T21:16:46.4943555Z 2025-08-14T21:16:46.4943631Z 2025-08-14T21:16:46.4943768Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2025-08-14T21:16:46.4943875Z >>> sharding_plan = ShardingPlan( 2025-08-14T21:16:46.4943961Z >>> plan={ 2025-08-14T21:16:46.4944071Z >>> "fc1.weight": spec1, 2025-08-14T21:16:46.4944169Z >>> "fc2.weight": spec2 2025-08-14T21:16:46.4944265Z >>> }, 2025-08-14T21:16:46.4944360Z >>> output_plan={ 2025-08-14T21:16:46.4944460Z >>> "fc2": output_spec 2025-08-14T21:16:46.4944555Z >>> }, 2025-08-14T21:16:46.4944660Z >>> return_local_tensor=["fc2"] 2025-08-14T21:16:46.4944741Z >>> ) 2025-08-14T21:16:46.4944862Z 2025-08-14T21:16:46.4945140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4945244Z 2025-08-14T21:16:46.4945352Z warnings.warn(msg) 2025-08-14T21:16:46.4945430Z 2025-08-14T21:16:46.4945622Z --- Parse Warning: 59 / 146 --- 2025-08-14T21:16:46.4946790Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2025-08-14T21:16:46.4947051Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4947148Z 2025-08-14T21:16:46.4947258Z Run post-localSGD algorithm. 2025-08-14T21:16:46.4947335Z 2025-08-14T21:16:46.4947579Z This DDP communication hook is used for running post-localSGD algorithm, 2025-08-14T21:16:46.4947742Z by combining with a model averaging component (e.g., 2025-08-14T21:16:46.4948067Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2025-08-14T21:16:46.4948197Z that runs after the optimizer step. 2025-08-14T21:16:46.4948279Z 2025-08-14T21:16:46.4948375Z Args: 2025-08-14T21:16:46.4948596Z state (PostLocalSGDState): State information to run post-localSGD. 2025-08-14T21:16:46.4948858Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2025-08-14T21:16:46.4949279Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-14T21:16:46.4949517Z Note that since DDP comm hook only supports single process single device mode, 2025-08-14T21:16:46.4949666Z only exactly one tensor is stored in this bucket. 2025-08-14T21:16:46.4949760Z 2025-08-14T21:16:46.4949843Z Returns: 2025-08-14T21:16:46.4950096Z Future handler of the communication, which updates the gradients in place. 2025-08-14T21:16:46.4950177Z 2025-08-14T21:16:46.4950271Z Example:: 2025-08-14T21:16:46.4950378Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4950620Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2025-08-14T21:16:46.4950737Z start_localSGD_iter=10) 2025-08-14T21:16:46.4950919Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:46.4951237Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2025-08-14T21:16:46.4951638Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2025-08-14T21:16:46.4951717Z 2025-08-14T21:16:46.4951958Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4952049Z 2025-08-14T21:16:46.4952142Z warnings.warn(msg) 2025-08-14T21:16:46.4952226Z 2025-08-14T21:16:46.4952441Z --- Parse Warning: 60 / 146 --- 2025-08-14T21:16:46.4953462Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2025-08-14T21:16:46.4953725Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4953802Z 2025-08-14T21:16:46.4953907Z Implement PowerSGD algorithm. 2025-08-14T21:16:46.4953998Z 2025-08-14T21:16:46.4954217Z This DDP communication hook implements PowerSGD gradient compression 2025-08-14T21:16:46.4954444Z algorithm described in the `paper `_. 2025-08-14T21:16:46.4954686Z Once gradient tensors are aggregated across all workers, this hook applies 2025-08-14T21:16:46.4954785Z compression as follows: 2025-08-14T21:16:46.4954903Z 2025-08-14T21:16:46.4955359Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2025-08-14T21:16:46.4955461Z 2025-08-14T21:16:46.4955873Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2025-08-14T21:16:46.4955950Z 2025-08-14T21:16:46.4956335Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2025-08-14T21:16:46.4956429Z 2025-08-14T21:16:46.4956535Z 2. Handles uncompressed tensors: 2025-08-14T21:16:46.4956614Z 2025-08-14T21:16:46.4957117Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2025-08-14T21:16:46.4957193Z 2025-08-14T21:16:46.4957518Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2025-08-14T21:16:46.4957609Z 2025-08-14T21:16:46.4957837Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2025-08-14T21:16:46.4957929Z 2025-08-14T21:16:46.4958158Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2025-08-14T21:16:46.4958457Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2025-08-14T21:16:46.4958548Z 2025-08-14T21:16:46.4958690Z 3.2. Computes each P in Ps, which is equal to MQ; 2025-08-14T21:16:46.4958767Z 2025-08-14T21:16:46.4958890Z 3.3. Allreduces Ps as a batch; 2025-08-14T21:16:46.4958968Z 2025-08-14T21:16:46.4959078Z 3.4. Orthogonalizes each P in Ps; 2025-08-14T21:16:46.4959167Z 2025-08-14T21:16:46.4959355Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2025-08-14T21:16:46.4959442Z 2025-08-14T21:16:46.4959543Z 3.6. Allreduces Qs as a batch; 2025-08-14T21:16:46.4959625Z 2025-08-14T21:16:46.4959918Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2025-08-14T21:16:46.4959997Z 2025-08-14T21:16:46.4960391Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2025-08-14T21:16:46.4960673Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2025-08-14T21:16:46.4961081Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2025-08-14T21:16:46.4961168Z 2025-08-14T21:16:46.4961284Z Args: 2025-08-14T21:16:46.4961698Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2025-08-14T21:16:46.4962051Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2025-08-14T21:16:46.4962164Z and ``min_compression_rate``. 2025-08-14T21:16:46.4962561Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-08-14T21:16:46.4962813Z Note that since DDP comm hook only supports single process single device mode, 2025-08-14T21:16:46.4962962Z only exactly one tensor is stored in this bucket. 2025-08-14T21:16:46.4963051Z 2025-08-14T21:16:46.4963133Z Returns: 2025-08-14T21:16:46.4963368Z Future handler of the communication, which updates the gradients in place. 2025-08-14T21:16:46.4963460Z 2025-08-14T21:16:46.4963551Z Example:: 2025-08-14T21:16:46.4963646Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.4963921Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2025-08-14T21:16:46.4964077Z start_powerSGD_iter=10, min_compression_rate=0.5) 2025-08-14T21:16:46.4964285Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2025-08-14T21:16:46.4964376Z 2025-08-14T21:16:46.4964644Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4964733Z 2025-08-14T21:16:46.4964828Z warnings.warn(msg) 2025-08-14T21:16:46.4964904Z 2025-08-14T21:16:46.4965106Z --- Parse Warning: 61 / 146 --- 2025-08-14T21:16:46.4966173Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38. 2025-08-14T21:16:46.4966423Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4966512Z 2025-08-14T21:16:46.4966691Z Averages parameters periodically after the warm-up stage. 2025-08-14T21:16:46.4966768Z 2025-08-14T21:16:46.4967026Z This can be used for running `post-local SGD `_, 2025-08-14T21:16:46.4967218Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2025-08-14T21:16:46.4967461Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2025-08-14T21:16:46.4967538Z 2025-08-14T21:16:46.4967618Z Args: 2025-08-14T21:16:46.4967789Z period (int): The number of steps per model averaging. 2025-08-14T21:16:46.4968048Z Usually the period should be greater than ``1`` to reduce the communication cost. 2025-08-14T21:16:46.4968173Z Otherwise, only DDP needs to be used. 2025-08-14T21:16:46.4968387Z warmup_steps (int): The number of warm-up steps. During this stage, 2025-08-14T21:16:46.4968506Z model averaging is skipped. 2025-08-14T21:16:46.4968701Z process_group: The process group to be used for all-reduce. 2025-08-14T21:16:46.4968838Z If ``None``, the default process group, which 2025-08-14T21:16:46.4969026Z is created by :func:`torch.distributed.init_process_group`, 2025-08-14T21:16:46.4969159Z will be used. (default: ``None``) 2025-08-14T21:16:46.4969236Z 2025-08-14T21:16:46.4969323Z Example:: 2025-08-14T21:16:46.4969414Z 2025-08-14T21:16:46.4969538Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.4969627Z >>> import torch 2025-08-14T21:16:46.4969753Z >>> import torch.distributed as dist 2025-08-14T21:16:46.4970055Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2025-08-14T21:16:46.4970364Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-14T21:16:46.4970465Z >>> import torch.nn as nn 2025-08-14T21:16:46.4970545Z >>> 2025-08-14T21:16:46.4970728Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-14T21:16:46.4970835Z >>> torch.cuda.set_device(rank) 2025-08-14T21:16:46.4970965Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2025-08-14T21:16:46.4971132Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-14T21:16:46.4971269Z >>> module, device_ids=[rank], output_device=rank 2025-08-14T21:16:46.4971361Z >>> ) 2025-08-14T21:16:46.4971502Z >>> # Register a post-localSGD communication hook. 2025-08-14T21:16:46.4971784Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-14T21:16:46.4971950Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:46.4972030Z >>> 2025-08-14T21:16:46.4972283Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-14T21:16:46.4972446Z >>> # After 100 steps, run model averaging every 4 steps. 2025-08-14T21:16:46.4972748Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-14T21:16:46.4973056Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-14T21:16:46.4973183Z >>> for step in range(0, 200): 2025-08-14T21:16:46.4973286Z >>> optimizer.zero_grad() 2025-08-14T21:16:46.4973407Z >>> loss = loss_fn(output, labels) 2025-08-14T21:16:46.4973504Z >>> loss.backward() 2025-08-14T21:16:46.4973604Z >>> optimizer.step() 2025-08-14T21:16:46.4973801Z >>> # Will average model parameters globally every 4 steps. Thus, 2025-08-14T21:16:46.4973996Z >>> # inter-node communication only occurs every 4 iterations after 2025-08-14T21:16:46.4974122Z >>> # the initial ``warmup_steps`` period. 2025-08-14T21:16:46.4974291Z >>> averager.average_parameters(model.parameters()) 2025-08-14T21:16:46.4974371Z 2025-08-14T21:16:46.4974626Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4974706Z 2025-08-14T21:16:46.4974806Z warnings.warn(msg) 2025-08-14T21:16:46.4974898Z 2025-08-14T21:16:46.4975094Z --- Parse Warning: 62 / 146 --- 2025-08-14T21:16:46.4976519Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19. 2025-08-14T21:16:46.4976791Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.4976869Z 2025-08-14T21:16:46.4977208Z Runs hierarchical model averaging (`hierarchical SGD `_). 2025-08-14T21:16:46.4977287Z 2025-08-14T21:16:46.4979195Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2025-08-14T21:16:46.4979526Z by using different periods concurrently after the warm-up stage. 2025-08-14T21:16:46.4979966Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2025-08-14T21:16:46.4980364Z that supports `post-local SGD `_, which essentially only supports 2025-08-14T21:16:46.4980692Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2025-08-14T21:16:46.4981046Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2025-08-14T21:16:46.4981463Z Similarly, the process groups within this class do not have such an intra-machine process 2025-08-14T21:16:46.4981866Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2025-08-14T21:16:46.4981978Z 2025-08-14T21:16:46.4982134Z Args: 2025-08-14T21:16:46.4982415Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2025-08-14T21:16:46.4982707Z process group size, used for initializing process groups of 2025-08-14T21:16:46.4982974Z different sizes in a hierarchy to average parameters concurrently. 2025-08-14T21:16:46.4983215Z Particularly, at each iteration, there will be at most a single 2025-08-14T21:16:46.4983510Z process group that runs averaging -- the period of such group should 2025-08-14T21:16:46.4983746Z have the largest period which the current step can be divided by. 2025-08-14T21:16:46.4983968Z For example, if the dict has three keys: 2, 4, and 8, 2025-08-14T21:16:46.4984236Z then this means totally three process groups will be created to 2025-08-14T21:16:46.4984485Z average parameters every 2, 4, and 8 iterations, respectively. 2025-08-14T21:16:46.4984741Z At the 4th iteration, only the second process group will run 2025-08-14T21:16:46.4985042Z averaging, because the first process group should be a 2025-08-14T21:16:46.4985378Z subset of the second process group, and no need to execute the first 2025-08-14T21:16:46.4985550Z process group redundantly. 2025-08-14T21:16:46.4985917Z On the other hand, the third process group can only be triggered 2025-08-14T21:16:46.4986226Z every 8 iterations, so it will not be triggered at the 4th iteration. 2025-08-14T21:16:46.4986550Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2025-08-14T21:16:46.4987058Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2025-08-14T21:16:46.4987259Z If ``None``, the default process group, which is created 2025-08-14T21:16:46.4987478Z by :func:`torch.distributed.init_process_group`, will be used. 2025-08-14T21:16:46.4987725Z (default: ``None``) 2025-08-14T21:16:46.4987834Z 2025-08-14T21:16:46.4987968Z Example:: 2025-08-14T21:16:46.4988159Z >>> # xdoctest: +SKIP('undefined rank') 2025-08-14T21:16:46.4988306Z >>> from collections import OrderedDict 2025-08-14T21:16:46.4988475Z >>> import torch 2025-08-14T21:16:46.4988638Z >>> import torch.distributed as dist 2025-08-14T21:16:46.4988937Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-14T21:16:46.4989122Z >>> PostLocalSGDState, 2025-08-14T21:16:46.4989251Z >>> post_localSGD_hook, 2025-08-14T21:16:46.4989362Z >>> ) 2025-08-14T21:16:46.4989812Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2025-08-14T21:16:46.4989966Z >>> import torch.nn as nn 2025-08-14T21:16:46.4990089Z >>> 2025-08-14T21:16:46.4990334Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-08-14T21:16:46.4990471Z >>> torch.cuda.set_device(rank) 2025-08-14T21:16:46.4990683Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2025-08-14T21:16:46.4990902Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-14T21:16:46.4991089Z >>> module, device_ids=[rank], output_device=rank 2025-08-14T21:16:46.4991250Z >>> ) 2025-08-14T21:16:46.4991464Z >>> # Register a post-localSGD communication hook. 2025-08-14T21:16:46.4991761Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2025-08-14T21:16:46.4991930Z >>> subgroup, _ = dist.new_subgroups() 2025-08-14T21:16:46.4992296Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2025-08-14T21:16:46.4992556Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:46.4992670Z >>> 2025-08-14T21:16:46.4992970Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2025-08-14T21:16:46.4993165Z >>> # the 16 processes every 16 iterations. 2025-08-14T21:16:46.4993361Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2025-08-14T21:16:46.4993714Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2025-08-14T21:16:46.4994050Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-14T21:16:46.4994333Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-08-14T21:16:46.4994555Z >>> # After 100 steps, run model averaging at two levels. 2025-08-14T21:16:46.4994695Z >>> for step in range(0, 200): 2025-08-14T21:16:46.4994876Z >>> optimizer.zero_grad() 2025-08-14T21:16:46.4995114Z >>> loss = loss_fn(output, labels) 2025-08-14T21:16:46.4995274Z >>> loss.backward() 2025-08-14T21:16:46.4995493Z >>> optimizer.step() 2025-08-14T21:16:46.4995674Z >>> # Average parameters after ``optimizer.step()``. 2025-08-14T21:16:46.4995990Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2025-08-14T21:16:46.4996240Z >>> averager.average_parameters(model.parameters()) 2025-08-14T21:16:46.4996365Z 2025-08-14T21:16:46.4996488Z .. warning :: 2025-08-14T21:16:46.4996808Z The last group size in the dict must be the size of the provided ``process_group``, 2025-08-14T21:16:46.4997072Z which indicates model averaging at the highest level of the hierarchy. 2025-08-14T21:16:46.4997416Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2025-08-14T21:16:46.4997560Z 2025-08-14T21:16:46.4997699Z .. warning :: 2025-08-14T21:16:46.4997996Z `HierarchicalModelAverager` is experimental and subject to change. 2025-08-14T21:16:46.4998108Z 2025-08-14T21:16:46.4998389Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.4998522Z 2025-08-14T21:16:46.4998692Z warnings.warn(msg) 2025-08-14T21:16:46.4998817Z 2025-08-14T21:16:46.4999134Z --- Parse Warning: 63 / 146 --- 2025-08-14T21:16:46.5000205Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2025-08-14T21:16:46.5000535Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5000625Z 2025-08-14T21:16:46.5000967Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2025-08-14T21:16:46.5001303Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2025-08-14T21:16:46.5001441Z 2025-08-14T21:16:46.5001680Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2025-08-14T21:16:46.5001788Z 2025-08-14T21:16:46.5001887Z .. warning:: 2025-08-14T21:16:46.5002177Z Current implementation only supports loading Tensors. 2025-08-14T21:16:46.5002287Z 2025-08-14T21:16:46.5002438Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5002607Z >>> sd = {"mode": model} 2025-08-14T21:16:46.5002724Z >>> dcp.load( 2025-08-14T21:16:46.5002851Z >>> sd, 2025-08-14T21:16:46.5003128Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-14T21:16:46.5003291Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-14T21:16:46.5003484Z >>> checkpoint_id="path_to_model.pt" 2025-08-14T21:16:46.5003595Z >>> ) 2025-08-14T21:16:46.5003704Z 2025-08-14T21:16:46.5004043Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5004171Z 2025-08-14T21:16:46.5004307Z warnings.warn(msg) 2025-08-14T21:16:46.5004459Z 2025-08-14T21:16:46.5004689Z --- Parse Warning: 64 / 146 --- 2025-08-14T21:16:46.5005718Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2025-08-14T21:16:46.5006061Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5006197Z 2025-08-14T21:16:46.5006654Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2025-08-14T21:16:46.5006992Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2025-08-14T21:16:46.5007206Z metadata file, like Torch Save files. 2025-08-14T21:16:46.5007341Z 2025-08-14T21:16:46.5007620Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2025-08-14T21:16:46.5007746Z 2025-08-14T21:16:46.5007909Z .. warning:: 2025-08-14T21:16:46.5008107Z Current implementation only supports loading Tensors. 2025-08-14T21:16:46.5008258Z 2025-08-14T21:16:46.5008391Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5008567Z >>> sd = {"mode": model} 2025-08-14T21:16:46.5008743Z >>> dcp.load( 2025-08-14T21:16:46.5008857Z >>> sd, 2025-08-14T21:16:46.5009036Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-08-14T21:16:46.5009244Z >>> planner=DynamicMetaLoadPlanner(), 2025-08-14T21:16:46.5009367Z >>> checkpoint_id="path_to_model.pt" 2025-08-14T21:16:46.5009517Z >>> ) 2025-08-14T21:16:46.5009687Z 2025-08-14T21:16:46.5009961Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5010115Z 2025-08-14T21:16:46.5010250Z warnings.warn(msg) 2025-08-14T21:16:46.5010341Z 2025-08-14T21:16:46.5010686Z --- Parse Warning: 65 / 146 --- 2025-08-14T21:16:46.5011721Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221. 2025-08-14T21:16:46.5012004Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5012164Z 2025-08-14T21:16:46.5012398Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2025-08-14T21:16:46.5012560Z 2025-08-14T21:16:46.5012768Z This is the current recommended way to checkpoint FSDP. 2025-08-14T21:16:46.5012894Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5013116Z >>> import torch.distributed.checkpoint as dist_cp 2025-08-14T21:16:46.5013242Z >>> # Save 2025-08-14T21:16:46.5013375Z >>> model: torch.nn.Model 2025-08-14T21:16:46.5013571Z >>> optim_params = model.parameters() 2025-08-14T21:16:46.5013760Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2025-08-14T21:16:46.5013915Z >>> # Save 2025-08-14T21:16:46.5014161Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2025-08-14T21:16:46.5014283Z >>> state_dict = { 2025-08-14T21:16:46.5014489Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2025-08-14T21:16:46.5014654Z >>> "model": model.state_dict() 2025-08-14T21:16:46.5014782Z >>> } 2025-08-14T21:16:46.5015002Z >>> dist_cp.save_state_dict( 2025-08-14T21:16:46.5015136Z >>> state_dict=optim_state, 2025-08-14T21:16:46.5015342Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2025-08-14T21:16:46.5015527Z >>> planner=dist_cp.DefaultSavePlanner(), 2025-08-14T21:16:46.5015701Z >>> ) 2025-08-14T21:16:46.5015874Z >>> 2025-08-14T21:16:46.5015998Z >>> # Load 2025-08-14T21:16:46.5016247Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2025-08-14T21:16:46.5016453Z >>> model_state_dict = model_tp.state_dict() 2025-08-14T21:16:46.5016559Z >>> checkpoint = { 2025-08-14T21:16:46.5016720Z >>> "model": model_state_dict 2025-08-14T21:16:46.5016897Z >>> } 2025-08-14T21:16:46.5017028Z >>> dist_cp.load_state_dict( 2025-08-14T21:16:46.5017161Z >>> state_dict=checkpoint, 2025-08-14T21:16:46.5017418Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2025-08-14T21:16:46.5017562Z >>> planner=dist_cp.DefaultLoadPlanner(), 2025-08-14T21:16:46.5017757Z >>> ) 2025-08-14T21:16:46.5017946Z >>> model.load_state_dict(checkpoint["model_state"]) 2025-08-14T21:16:46.5018057Z >>> 2025-08-14T21:16:46.5018278Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2025-08-14T21:16:46.5027877Z >>> model_state_dict, 2025-08-14T21:16:46.5028117Z >>> optimizer_key="optimizer", 2025-08-14T21:16:46.5028378Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2025-08-14T21:16:46.5028479Z >>> ) 2025-08-14T21:16:46.5028563Z >>> 2025-08-14T21:16:46.5028715Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2025-08-14T21:16:46.5028857Z >>> model, optim, optim_state["optimizer"] 2025-08-14T21:16:46.5028942Z >>> ) 2025-08-14T21:16:46.5029026Z >>> 2025-08-14T21:16:46.5029161Z >>> optim.load_state_dict(flattened_osd) 2025-08-14T21:16:46.5029242Z 2025-08-14T21:16:46.5029496Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5029588Z 2025-08-14T21:16:46.5029688Z warnings.warn(msg) 2025-08-14T21:16:46.5029772Z 2025-08-14T21:16:46.5030047Z --- Parse Warning: 66 / 146 --- 2025-08-14T21:16:46.5030977Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-08-14T21:16:46.5031254Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5031336Z 2025-08-14T21:16:46.5031616Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-08-14T21:16:46.5031712Z 2025-08-14T21:16:46.5031996Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-08-14T21:16:46.5032095Z 2025-08-14T21:16:46.5032368Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-14T21:16:46.5032486Z will be visible to the whole process. 2025-08-14T21:16:46.5032586Z 2025-08-14T21:16:46.5032853Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-08-14T21:16:46.5032938Z 2025-08-14T21:16:46.5033077Z 1) set_up_planner - called on all ranks. 2025-08-14T21:16:46.5033206Z Signals the start of a checkpoint save. 2025-08-14T21:16:46.5033285Z 2025-08-14T21:16:46.5033419Z 2) create_local_plan - called on all ranks. 2025-08-14T21:16:46.5033695Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-08-14T21:16:46.5033780Z 2025-08-14T21:16:46.5033971Z 3) create_global_plan - called on the coordinator rank only. 2025-08-14T21:16:46.5034168Z Takes the SavePlan from all ranks and make any global decision. 2025-08-14T21:16:46.5034262Z 2025-08-14T21:16:46.5034410Z 4) finish_plan - called on all ranks. 2025-08-14T21:16:46.5034627Z This gives each rank a chance to adjust to global planning decisions. 2025-08-14T21:16:46.5034722Z 2025-08-14T21:16:46.5034873Z 5) resolve_data - called multiple times on each rank 2025-08-14T21:16:46.5035079Z Lookups a value on the `state_dict` for the storage layer to write. 2025-08-14T21:16:46.5035174Z 2025-08-14T21:16:46.5035475Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-08-14T21:16:46.5035667Z most changes can be expressed by changes in a single method. 2025-08-14T21:16:46.5035746Z 2025-08-14T21:16:46.5035869Z There are 3 usual patterns of extension: 2025-08-14T21:16:46.5035963Z 2025-08-14T21:16:46.5036209Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-08-14T21:16:46.5036431Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-08-14T21:16:46.5036527Z 2025-08-14T21:16:46.5036644Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5036777Z >>> class RenamePlanner(DefaultSavePlanner): 2025-08-14T21:16:46.5036887Z >>> def set_up_planner( 2025-08-14T21:16:46.5036974Z >>> self, 2025-08-14T21:16:46.5037086Z >>> state_dict: STATE_DICT_TYPE, 2025-08-14T21:16:46.5037288Z >>> storage_meta: Optional[StorageMeta], 2025-08-14T21:16:46.5037421Z >>> is_coordinator: bool, 2025-08-14T21:16:46.5037528Z >>> ) -> None: 2025-08-14T21:16:46.5037636Z >>> # prefix all keys with `foo_`` 2025-08-14T21:16:46.5037924Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-08-14T21:16:46.5038017Z 2025-08-14T21:16:46.5038339Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-08-14T21:16:46.5038420Z 2025-08-14T21:16:46.5038551Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5038677Z >>> class FP16Planner(DefaultSavePlanner): 2025-08-14T21:16:46.5038785Z >>> def create_local_plan(self): 2025-08-14T21:16:46.5038920Z >>> plan = super().create_local_plan() 2025-08-14T21:16:46.5039018Z >>> for p in plan: 2025-08-14T21:16:46.5039152Z >>> if p.tensor_data is not None: 2025-08-14T21:16:46.5039317Z >>> p.tensor_data.properties.dtype = torch.float16 2025-08-14T21:16:46.5039415Z >>> return plan 2025-08-14T21:16:46.5039510Z >>> 2025-08-14T21:16:46.5039626Z >>> def resolve_data(self, write_item): 2025-08-14T21:16:46.5039752Z >>> item = super().resolve_data(write_item) 2025-08-14T21:16:46.5040036Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-08-14T21:16:46.5040118Z 2025-08-14T21:16:46.5040452Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-08-14T21:16:46.5040550Z 2025-08-14T21:16:46.5040665Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5040786Z >>> from itertools import zip_longest 2025-08-14T21:16:46.5040896Z >>> from dataclasses import replace 2025-08-14T21:16:46.5041067Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-08-14T21:16:46.5041348Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-08-14T21:16:46.5041480Z >>> # This sample doesn't handle ShardedTensors 2025-08-14T21:16:46.5041608Z >>> def create_global_plan(self, all_plans): 2025-08-14T21:16:46.5041771Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-08-14T21:16:46.5041870Z >>> items_per_rank = [ 2025-08-14T21:16:46.5042020Z >>> [item for item in items if item is not None] 2025-08-14T21:16:46.5042177Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-08-14T21:16:46.5042295Z >>> ] 2025-08-14T21:16:46.5042405Z >>> all_plans = [ 2025-08-14T21:16:46.5042520Z >>> replace(plan, items=items) 2025-08-14T21:16:46.5042708Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-08-14T21:16:46.5042806Z >>> ] 2025-08-14T21:16:46.5042955Z >>> return super().create_global_plan(all_plans) 2025-08-14T21:16:46.5043039Z 2025-08-14T21:16:46.5043314Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-08-14T21:16:46.5043575Z accomplished by having each rank contribute their data items in the local plan and 2025-08-14T21:16:46.5043706Z the global planner aggregate them: 2025-08-14T21:16:46.5043787Z 2025-08-14T21:16:46.5043902Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5064749Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-08-14T21:16:46.5064930Z >>> def create_local_plan(self) -> SavePlan: 2025-08-14T21:16:46.5065074Z >>> plan = super().create_local_plan() 2025-08-14T21:16:46.5065257Z >>> return replace(plan, planner_data="per-rank-data") 2025-08-14T21:16:46.5065331Z >>> 2025-08-14T21:16:46.5065617Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-08-14T21:16:46.5065984Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-08-14T21:16:46.5066167Z >>> merged_data = [p.planner_data for p in global_plan] 2025-08-14T21:16:46.5066330Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-08-14T21:16:46.5066432Z >>> return global_plan, metadata 2025-08-14T21:16:46.5066506Z 2025-08-14T21:16:46.5066752Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5066823Z 2025-08-14T21:16:46.5066914Z warnings.warn(msg) 2025-08-14T21:16:46.5066992Z 2025-08-14T21:16:46.5067239Z --- Parse Warning: 67 / 146 --- 2025-08-14T21:16:46.5068156Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-08-14T21:16:46.5068406Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5068482Z 2025-08-14T21:16:46.5068758Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-08-14T21:16:46.5068829Z 2025-08-14T21:16:46.5069093Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-08-14T21:16:46.5069172Z 2025-08-14T21:16:46.5069432Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-08-14T21:16:46.5069539Z will be visible to the whole process. 2025-08-14T21:16:46.5069617Z 2025-08-14T21:16:46.5069877Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-08-14T21:16:46.5069956Z 2025-08-14T21:16:46.5070067Z 1) set_up_planner - called on all ranks. 2025-08-14T21:16:46.5070188Z Signals the start of loading a checkpoint. 2025-08-14T21:16:46.5070268Z 2025-08-14T21:16:46.5070383Z 2) create_local_plan - called on all ranks. 2025-08-14T21:16:46.5070655Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-08-14T21:16:46.5070736Z 2025-08-14T21:16:46.5070905Z 3) create_global_plan - called on the coordinator rank only. 2025-08-14T21:16:46.5071089Z Takes the LoadPlan from all ranks and make any global decision. 2025-08-14T21:16:46.5071169Z 2025-08-14T21:16:46.5071306Z 4) load_bytes - called multiple times on each rank 2025-08-14T21:16:46.5071468Z This is called once per non-tensor value in state_dict. 2025-08-14T21:16:46.5071541Z 2025-08-14T21:16:46.5071786Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-08-14T21:16:46.5071967Z They are called in pair for each Tensor value in state_dict. 2025-08-14T21:16:46.5072039Z 2025-08-14T21:16:46.5072325Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-08-14T21:16:46.5072509Z most changes can be expressed by changes in a single method. 2025-08-14T21:16:46.5072579Z 2025-08-14T21:16:46.5072701Z There are two usual patterns of extension: 2025-08-14T21:16:46.5072780Z 2025-08-14T21:16:46.5073016Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-08-14T21:16:46.5073259Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-08-14T21:16:46.5073470Z to keep a reference to the original state_dict as load happens in place so 2025-08-14T21:16:46.5073584Z we need to be able to perform it in place 2025-08-14T21:16:46.5073665Z 2025-08-14T21:16:46.5073772Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5073896Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-08-14T21:16:46.5073995Z >>> def set_up_planner( 2025-08-14T21:16:46.5074072Z >>> self, 2025-08-14T21:16:46.5074172Z >>> state_dict: STATE_DICT_TYPE, 2025-08-14T21:16:46.5074271Z >>> metadata: Metadata, 2025-08-14T21:16:46.5074422Z >>> is_coordinator: bool, 2025-08-14T21:16:46.5074537Z >>> ) -> None: 2025-08-14T21:16:46.5074655Z >>> self.original_state_dict = state_dict 2025-08-14T21:16:46.5074820Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-08-14T21:16:46.5074907Z >>> 2025-08-14T21:16:46.5075016Z >>> if self.flatten_sharded_tensors: 2025-08-14T21:16:46.5075159Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-08-14T21:16:46.5075243Z >>> 2025-08-14T21:16:46.5075342Z >>> if self.flatten_state_dict: 2025-08-14T21:16:46.5075517Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-08-14T21:16:46.5075597Z >>> 2025-08-14T21:16:46.5075698Z >>> self.state_dict = state_dict 2025-08-14T21:16:46.5075805Z >>> self.metadata = metadata 2025-08-14T21:16:46.5075922Z >>> self.is_coordinator = is_coordinator 2025-08-14T21:16:46.5076195Z >>> 2025-08-14T21:16:46.5076325Z >>> def load_bytes(self, read_item, value): 2025-08-14T21:16:46.5076421Z >>> # Remove the "foo_" prefix 2025-08-14T21:16:46.5076722Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-08-14T21:16:46.5076804Z 2025-08-14T21:16:46.5076876Z 2025-08-14T21:16:46.5077123Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-08-14T21:16:46.5077204Z 2025-08-14T21:16:46.5077311Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5077469Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-08-14T21:16:46.5077584Z >>> def resolve_tensor(self, read_item): 2025-08-14T21:16:46.5077706Z >>> tensor = super().resolve_tensor(read_item) 2025-08-14T21:16:46.5077849Z >>> return torch.empty_like(tensor, device="cpu") 2025-08-14T21:16:46.5077923Z >>> 2025-08-14T21:16:46.5078047Z >>> def commit_tensor(self, read_item, tensor): 2025-08-14T21:16:46.5078202Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-08-14T21:16:46.5078276Z 2025-08-14T21:16:46.5078512Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5078591Z 2025-08-14T21:16:46.5078680Z warnings.warn(msg) 2025-08-14T21:16:46.5078754Z 2025-08-14T21:16:46.5078965Z --- Parse Warning: 68 / 146 --- 2025-08-14T21:16:46.5080002Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1118. 2025-08-14T21:16:46.5080264Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5080338Z 2025-08-14T21:16:46.5080492Z Return the model state_dict and optimizers state_dict. 2025-08-14T21:16:46.5080577Z 2025-08-14T21:16:46.5080787Z ``get_state_dict`` can process any module that is parallelized by PyTorch 2025-08-14T21:16:46.5081053Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any 2025-08-14T21:16:46.5081293Z combination of these parallelisms. The main functions of ``get_state_dict`` 2025-08-14T21:16:46.5081502Z are: 1.) returning a model and optimizer state_dict that can be resharded 2025-08-14T21:16:46.5081717Z with a different number of trainers and/or different parallelisms. 2025-08-14T21:16:46.5081955Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call 2025-08-14T21:16:46.5082055Z these APIs. 2025-08-14T21:16:46.5082172Z 3.) sanity checking the result state_dict. 2025-08-14T21:16:46.5082248Z 2025-08-14T21:16:46.5082460Z The keys of the result state dictionary are the canonical FQNs (Fully 2025-08-14T21:16:46.5082683Z Qualified Names). A canonical FQN refers to the FQN based on a parameter's 2025-08-14T21:16:46.5082998Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a 2025-08-14T21:16:46.5083291Z parameter is the FQN returned by ``module.named_parameters()`` or 2025-08-14T21:16:46.5083491Z ``module.named_buffers()`` when the module is not distributed by any 2025-08-14T21:16:46.5083749Z parallelisms. Since the optimizer internally uses parameter IDs to represent 2025-08-14T21:16:46.5083960Z a parameter, there will be a conversion from the parameter IDs to the 2025-08-14T21:16:46.5084071Z canonical FQNs when calling this API. 2025-08-14T21:16:46.5084163Z 2025-08-14T21:16:46.5084373Z ``get_state_dict`` can also process a module that is not parallelized. In 2025-08-14T21:16:46.5084591Z such a case, ``get_state_dict`` only performs one function -- converting the 2025-08-14T21:16:46.5084742Z optimizer parameter IDs to the canonical FQNs. 2025-08-14T21:16:46.5084821Z 2025-08-14T21:16:46.5084904Z Example: 2025-08-14T21:16:46.5085022Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5085113Z >>> import torch 2025-08-14T21:16:46.5085357Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:46.5085553Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-14T21:16:46.5085771Z >>> from torch.distributed.checkpoint.state_dict import get_state_dict 2025-08-14T21:16:46.5085864Z 2025-08-14T21:16:46.5085986Z >>> fsdp_model = FSDP(copy.deepcopy(model)) 2025-08-14T21:16:46.5086163Z >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-14T21:16:46.5086297Z >>> ddp_model = DDP(copy.deepcopy(model)) 2025-08-14T21:16:46.5086468Z >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-08-14T21:16:46.5086558Z 2025-08-14T21:16:46.5086635Z 2025-08-14T21:16:46.5086858Z >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim) 2025-08-14T21:16:46.5087035Z >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict( 2025-08-14T21:16:46.5087139Z ... fsdp_model, fsdp_optim 2025-08-14T21:16:46.5087222Z ... ) 2025-08-14T21:16:46.5087312Z 2025-08-14T21:16:46.5087515Z >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(), 2025-08-14T21:16:46.5087614Z >>> # the asserts will fail. 2025-08-14T21:16:46.5087751Z >>> assert ddp_state_dict == fsdp_state_dict 2025-08-14T21:16:46.5087893Z >>> assert ddp_optim_state == fsdp_optim_state_dict 2025-08-14T21:16:46.5087969Z 2025-08-14T21:16:46.5088060Z 2025-08-14T21:16:46.5088140Z Args: 2025-08-14T21:16:46.5088316Z model (nn.Module): the nn.Module to the model. 2025-08-14T21:16:46.5088494Z optimizers (Union[None, Optimizer, Iterable[Optimizer]]): 2025-08-14T21:16:46.5088646Z The optimizers that are used to optimize ``model``. 2025-08-14T21:16:46.5088923Z submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters 2025-08-14T21:16:46.5089037Z that belong to the submodules. 2025-08-14T21:16:46.5089204Z options (StateDictOptions): the options to control how 2025-08-14T21:16:46.5089413Z model state_dict and optimizer state_dict should be returned. See 2025-08-14T21:16:46.5089532Z `StateDictOptions` for the details. 2025-08-14T21:16:46.5089609Z 2025-08-14T21:16:46.5089701Z Returns: 2025-08-14T21:16:46.5089887Z ``Tuple`` that contain model state_dict and optimizer state_dict. 2025-08-14T21:16:46.5089978Z 2025-08-14T21:16:46.5090197Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType] 2025-08-14T21:16:46.5090278Z 2025-08-14T21:16:46.5090536Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5090612Z 2025-08-14T21:16:46.5090705Z warnings.warn(msg) 2025-08-14T21:16:46.5090797Z 2025-08-14T21:16:46.5090995Z --- Parse Warning: 69 / 146 --- 2025-08-14T21:16:46.5091991Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69. 2025-08-14T21:16:46.5092285Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5092363Z 2025-08-14T21:16:46.5092564Z Load a checkpoint into a distributed state dict in SPMD style. 2025-08-14T21:16:46.5092640Z 2025-08-14T21:16:46.5092850Z Each rank must have the same keys in their ``state_dict`` provided to this 2025-08-14T21:16:46.5093085Z API. Mismatched keys may result in hangs or errors. If unsure, you can use 2025-08-14T21:16:46.5093295Z the ``utils._assert_same_keys`` API to check (but may incur communication 2025-08-14T21:16:46.5093376Z costs). 2025-08-14T21:16:46.5093462Z 2025-08-14T21:16:46.5093634Z Each rank will try to read the least amount of data necessary 2025-08-14T21:16:46.5093873Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor` 2025-08-14T21:16:46.5094110Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2025-08-14T21:16:46.5094188Z 2025-08-14T21:16:46.5094449Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-14T21:16:46.5094691Z load will first call ``state_dict`` before attempting deserialization, followed by 2025-08-14T21:16:46.5094852Z ``load_state_dict`` once the deserialization is complete. 2025-08-14T21:16:46.5095114Z For each non-``Stateful`` object, load will deserialize the object, and then replace 2025-08-14T21:16:46.5095258Z it in the ``state_dict`` with the deserialized object. 2025-08-14T21:16:46.5095348Z 2025-08-14T21:16:46.5095452Z .. warning:: 2025-08-14T21:16:46.5095613Z All tensors in ``state_dict`` must be allocated on their 2025-08-14T21:16:46.5095790Z destination device *prior to* calling this function. 2025-08-14T21:16:46.5095866Z 2025-08-14T21:16:46.5096084Z All non-tensor data is loaded using `torch.load()` and modified in place 2025-08-14T21:16:46.5096187Z on state_dict. 2025-08-14T21:16:46.5096266Z 2025-08-14T21:16:46.5096352Z .. warning:: 2025-08-14T21:16:46.5096559Z Users must call `load_state_dict` on the root module to ensure load 2025-08-14T21:16:46.5096739Z pos-processing and non-tensor data properly propagates. 2025-08-14T21:16:46.5096830Z 2025-08-14T21:16:46.5096912Z .. note: 2025-08-14T21:16:46.5097163Z If no process group is initialized, this function will assume the intent 2025-08-14T21:16:46.5097389Z is to load a checkpoint into the local process. This can be useful in the 2025-08-14T21:16:46.5097624Z case of local inference, and when using regular Tensors (as opposed to DTensor 2025-08-14T21:16:46.5097722Z or ShardedTensor) 2025-08-14T21:16:46.5097821Z 2025-08-14T21:16:46.5097906Z .. note: 2025-08-14T21:16:46.5098042Z Rank 0 is assumed to be the coordinator rank. 2025-08-14T21:16:46.5098135Z 2025-08-14T21:16:46.5098219Z Args: 2025-08-14T21:16:46.5098426Z state_dict (Dict[str, Any]): The state_dict to load the checkpoint into. 2025-08-14T21:16:46.5098581Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-14T21:16:46.5098782Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-14T21:16:46.5098994Z depends on the storage. It can be a path to a folder or to a file. 2025-08-14T21:16:46.5099157Z It can also be a key if the storage is a key-value store. 2025-08-14T21:16:46.5099254Z (Default: ``None``) 2025-08-14T21:16:46.5099401Z storage_reader (Optional[StorageReader]): 2025-08-14T21:16:46.5099597Z Instance of StorageWriter used to perform reads. If this is not 2025-08-14T21:16:46.5099792Z specified, DCP will automatically infer the reader based on the 2025-08-14T21:16:46.5100078Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-14T21:16:46.5100212Z be raised. (Default: ``None``) 2025-08-14T21:16:46.5100336Z planner (Optional[LoadPlanner]): 2025-08-14T21:16:46.5100525Z Instance of LoadPlanner. If this is not specified, the default 2025-08-14T21:16:46.5100651Z planner will be used. (Default: ``None``) 2025-08-14T21:16:46.5100787Z process_group (Optional[ProcessGroup]): 2025-08-14T21:16:46.5100959Z ProcessGroup to be used for cross-rank synchronization. 2025-08-14T21:16:46.5101056Z (Default: ``None``) 2025-08-14T21:16:46.5101271Z no_dist (bool): If ``True``, this function will assume the intent is to load 2025-08-14T21:16:46.5101511Z a checkpoint without using cross-rank synchronization. (Default: ``False``) 2025-08-14T21:16:46.5101607Z Returns: 2025-08-14T21:16:46.5101692Z None. 2025-08-14T21:16:46.5101768Z 2025-08-14T21:16:46.5101867Z Examples 2025-08-14T21:16:46.5101964Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5102058Z >>> my_model = MyModule() 2025-08-14T21:16:46.5102207Z >>> optimizer = Adagrad(my_model.parameters()) 2025-08-14T21:16:46.5102332Z >>> model_state_dict = my_model.state_dict() 2025-08-14T21:16:46.5102558Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader( 2025-08-14T21:16:46.5102664Z ... "/checkpoint/1" 2025-08-14T21:16:46.5102743Z ... ) 2025-08-14T21:16:46.5102819Z 2025-08-14T21:16:46.5102990Z >>> torch.distributed.checkpoint.load_state_dict( 2025-08-14T21:16:46.5103097Z >>> state_dict=model_state_dict, 2025-08-14T21:16:46.5103226Z >>> storage_reader=fs_storage_reader, 2025-08-14T21:16:46.5103307Z >>> ) 2025-08-14T21:16:46.5103386Z 2025-08-14T21:16:46.5103585Z >>> # module.load_state_dict() function might have customized steps 2025-08-14T21:16:46.5103712Z >>> # to flush the state_dict, must call it to 2025-08-14T21:16:46.5103816Z >>> # ensure correct behavior. 2025-08-14T21:16:46.5103954Z >>> my_model.load_state_dict(model_state_dict) 2025-08-14T21:16:46.5104034Z 2025-08-14T21:16:46.5104118Z .. note:: 2025-08-14T21:16:46.5104331Z load_state_dict uses collectives to coordinate reads across ranks. 2025-08-14T21:16:46.5104535Z For NCCL-based process groups, internal tensor representations of 2025-08-14T21:16:46.5104766Z objects must be moved to the GPU device before communication takes place. 2025-08-14T21:16:46.5105013Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-14T21:16:46.5105234Z and it is the user's responsibility to ensure that this is set so that each 2025-08-14T21:16:46.5105426Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-14T21:16:46.5105505Z 2025-08-14T21:16:46.5105847Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5105946Z 2025-08-14T21:16:46.5106040Z warnings.warn(msg) 2025-08-14T21:16:46.5106118Z 2025-08-14T21:16:46.5106344Z --- Parse Warning: 70 / 146 --- 2025-08-14T21:16:46.5107266Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97. 2025-08-14T21:16:46.5107532Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5107612Z 2025-08-14T21:16:46.5107732Z Save a distributed model in SPMD style. 2025-08-14T21:16:46.5107823Z 2025-08-14T21:16:46.5108007Z This function is different from ``torch.save()`` as it handles 2025-08-14T21:16:46.5108252Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2025-08-14T21:16:46.5108381Z 2025-08-14T21:16:46.5108653Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-08-14T21:16:46.5108852Z save will call ``state_dict`` before serialization. 2025-08-14T21:16:46.5108929Z 2025-08-14T21:16:46.5109016Z .. warning:: 2025-08-14T21:16:46.5109252Z There is no guarantees of Backwards Compatibility across PyTorch versions 2025-08-14T21:16:46.5109349Z for saved state_dicts. 2025-08-14T21:16:46.5109426Z 2025-08-14T21:16:46.5109523Z .. warning:: 2025-08-14T21:16:46.5109723Z If using the `process_group` argument, make sure that only its ranks 2025-08-14T21:16:46.5109925Z call `save_state_dict` and that all data in state_dict belong to it. 2025-08-14T21:16:46.5110018Z 2025-08-14T21:16:46.5110105Z .. note:: 2025-08-14T21:16:46.5110366Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2025-08-14T21:16:46.5110618Z the shard_group should be calling `save_state_dict` and the corresponding process 2025-08-14T21:16:46.5110725Z group needs to be passed in. 2025-08-14T21:16:46.5110822Z 2025-08-14T21:16:46.5110905Z .. note:: 2025-08-14T21:16:46.5111161Z If no process group is available, this function assumes the intention is to save the 2025-08-14T21:16:46.5111281Z state_dict in the local process. 2025-08-14T21:16:46.5111360Z 2025-08-14T21:16:46.5111440Z .. note: 2025-08-14T21:16:46.5111586Z Rank 0 is assumed to be the coordinator rank. 2025-08-14T21:16:46.5111662Z 2025-08-14T21:16:46.5111738Z 2025-08-14T21:16:46.5111825Z Args: 2025-08-14T21:16:46.5111975Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-14T21:16:46.5112124Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-14T21:16:46.5112324Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-14T21:16:46.5112516Z depends on the storage. It can be a path to a folder or to a file. 2025-08-14T21:16:46.5112694Z It can also be a key if the storage is a key-value store. 2025-08-14T21:16:46.5112793Z (Default: ``None``) 2025-08-14T21:16:46.5112921Z storage_writer (Optional[StorageWriter]): 2025-08-14T21:16:46.5113131Z Instance of StorageWriter used to perform writes. If this is not 2025-08-14T21:16:46.5113325Z specified, DCP will automatically infer the writer based on the 2025-08-14T21:16:46.5113529Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-14T21:16:46.5113635Z be raised. (Default: ``None``) 2025-08-14T21:16:46.5113779Z planner (Optional[SavePlanner]): 2025-08-14T21:16:46.5113980Z Instance of SavePlanner. If this is not specified, the default 2025-08-14T21:16:46.5114102Z planner will be used. (Default: ``None``) 2025-08-14T21:16:46.5114228Z process_group (Optional[ProcessGroup]): 2025-08-14T21:16:46.5114418Z ProcessGroup to be used for cross-rank synchronization. 2025-08-14T21:16:46.5114512Z (Default: ``None``) 2025-08-14T21:16:46.5114604Z no_dist (bool): 2025-08-14T21:16:46.5114777Z If ``True``, this function will assume the intent is to load 2025-08-14T21:16:46.5114901Z a checkpoint on a single rank/process. 2025-08-14T21:16:46.5115012Z (Default: ``False``) 2025-08-14T21:16:46.5115257Z use_collectives (bool): If ``False``, this function will assume the intent is to save 2025-08-14T21:16:46.5115426Z a checkpoint without using cross-rank synchronization. 2025-08-14T21:16:46.5115535Z (Default: ``True``) 2025-08-14T21:16:46.5115752Z This configuration is experimental and should be used with caution. 2025-08-14T21:16:46.5116011Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-14T21:16:46.5116099Z 2025-08-14T21:16:46.5116181Z Returns: 2025-08-14T21:16:46.5116407Z Metadata: Metadata object for the saved checkpoint. 2025-08-14T21:16:46.5116510Z 2025-08-14T21:16:46.5116592Z Example: 2025-08-14T21:16:46.5116698Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5116795Z >>> my_model = MyModule() 2025-08-14T21:16:46.5116871Z 2025-08-14T21:16:46.5116993Z >>> state_dict = {"model": my_model} 2025-08-14T21:16:46.5117069Z 2025-08-14T21:16:46.5117299Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-14T21:16:46.5117406Z ... "/checkpoint/1" 2025-08-14T21:16:46.5117485Z ... ) 2025-08-14T21:16:46.5117616Z >>> torch.distributed.checkpoint.save( 2025-08-14T21:16:46.5117728Z >>> state_dict=state_dict, 2025-08-14T21:16:46.5117841Z >>> storage_writer=fs_storage_writer, 2025-08-14T21:16:46.5117933Z >>> ) 2025-08-14T21:16:46.5118009Z 2025-08-14T21:16:46.5118091Z .. note:: 2025-08-14T21:16:46.5118307Z save_state_dict uses collectives to coordinate writes across ranks. 2025-08-14T21:16:46.5118513Z For NCCL-based process groups, internal tensor representations of 2025-08-14T21:16:46.5118734Z objects must be moved to the GPU device before communication takes place. 2025-08-14T21:16:46.5118955Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-08-14T21:16:46.5119151Z and it is the user's responsibility to ensure that this is set so that 2025-08-14T21:16:46.5119353Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-08-14T21:16:46.5119430Z 2025-08-14T21:16:46.5119673Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5119764Z 2025-08-14T21:16:46.5119861Z warnings.warn(msg) 2025-08-14T21:16:46.5119939Z 2025-08-14T21:16:46.5120155Z --- Parse Warning: 71 / 146 --- 2025-08-14T21:16:46.5121103Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230. 2025-08-14T21:16:46.5121359Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5121625Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2025-08-14T21:16:46.5121899Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2025-08-14T21:16:46.5121990Z 2025-08-14T21:16:46.5122079Z .. warning:: 2025-08-14T21:16:46.5122271Z This feature is experimental and subject to change. 2025-08-14T21:16:46.5122426Z MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED 2025-08-14T21:16:46.5122504Z 2025-08-14T21:16:46.5122585Z Args: 2025-08-14T21:16:46.5122747Z state_dict (Dict[str, Any]): The state_dict to save. 2025-08-14T21:16:46.5122890Z checkpoint_id (Union[str, os.PathLike, None]): 2025-08-14T21:16:46.5123104Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-08-14T21:16:46.5123302Z depends on the storage. It can be a path to a folder or to a file. 2025-08-14T21:16:46.5123462Z It can also be a key if the storage is a key-value store. 2025-08-14T21:16:46.5123568Z (Default: ``None``) 2025-08-14T21:16:46.5123700Z storage_writer (Optional[StorageWriter]): 2025-08-14T21:16:46.5123902Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2025-08-14T21:16:46.5124145Z this is not specified, DCP will automatically infer the writer based on the 2025-08-14T21:16:46.5124342Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-08-14T21:16:46.5124463Z be raised. (Default: ``None``) 2025-08-14T21:16:46.5124593Z planner (Optional[SavePlanner]): 2025-08-14T21:16:46.5124845Z Instance of SavePlanner. If this is not specified, the default 2025-08-14T21:16:46.5125010Z planner will be used. (Default: ``None``) 2025-08-14T21:16:46.5125138Z process_group (Optional[ProcessGroup]): 2025-08-14T21:16:46.5125314Z ProcessGroup to be used for cross-rank synchronization. 2025-08-14T21:16:46.5125425Z (Default: ``None``) 2025-08-14T21:16:46.5125582Z async_checkpointer_type (AsyncCheckpointerType): 2025-08-14T21:16:46.5125751Z whether to do checkpoint in separate thread or process 2025-08-14T21:16:46.5125914Z (Default: ``AsyncCheckpointerType.THREAD``) 2025-08-14T21:16:46.5126025Z async_stager (AsyncStager): 2025-08-14T21:16:46.5126286Z provides staging implementation. If storage_writer implements AsyncStager 2025-08-14T21:16:46.5126493Z and async_stager is provided, async_stager will be used for staging 2025-08-14T21:16:46.5126591Z no_dist (bool): 2025-08-14T21:16:46.5126771Z If ``True``, this function will assume the intent is to save 2025-08-14T21:16:46.5126901Z a checkpoint on a single rank/process. 2025-08-14T21:16:46.5126999Z (Default: ``False``) 2025-08-14T21:16:46.5127316Z use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``) 2025-08-14T21:16:46.5127532Z This configuration is experimental and should be used with caution. 2025-08-14T21:16:46.5127807Z It will change the format of the saved checkpoint and may not be backward compatible. 2025-08-14T21:16:46.5127891Z 2025-08-14T21:16:46.5127976Z Returns: 2025-08-14T21:16:46.5128198Z Future: A future holding the resultant Metadata object from `save`. 2025-08-14T21:16:46.5128277Z 2025-08-14T21:16:46.5128362Z Example: 2025-08-14T21:16:46.5128479Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5128585Z >>> my_model = MyModule() 2025-08-14T21:16:46.5128669Z 2025-08-14T21:16:46.5128798Z >>> state_dict = {"model": my_model} 2025-08-14T21:16:46.5128877Z 2025-08-14T21:16:46.5129123Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-08-14T21:16:46.5129221Z ... "/checkpoint/1" 2025-08-14T21:16:46.5129304Z ... ) 2025-08-14T21:16:46.5129524Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2025-08-14T21:16:46.5129628Z >>> state_dict=state_dict, 2025-08-14T21:16:46.5129748Z >>> storage_writer=fs_storage_writer, 2025-08-14T21:16:46.5129873Z >>> ) 2025-08-14T21:16:46.5129956Z >>> 2025-08-14T21:16:46.5130055Z >>> # ... do some work ... 2025-08-14T21:16:46.5130153Z >>> 2025-08-14T21:16:46.5130270Z >>> checkpoint_future.result() 2025-08-14T21:16:46.5130350Z 2025-08-14T21:16:46.5130450Z 2025-08-14T21:16:46.5130696Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5130796Z 2025-08-14T21:16:46.5130890Z warnings.warn(msg) 2025-08-14T21:16:46.5130967Z 2025-08-14T21:16:46.5131181Z --- Parse Warning: 72 / 146 --- 2025-08-14T21:16:46.5132177Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94. 2025-08-14T21:16:46.5132433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5132523Z 2025-08-14T21:16:46.5132716Z Initialize rendezvous event object and record its operations. 2025-08-14T21:16:46.5132808Z 2025-08-14T21:16:46.5132889Z Args: 2025-08-14T21:16:46.5133013Z run_id (str): The run id of the rendezvous. 2025-08-14T21:16:46.5133228Z message (str): The message describing the event. 2025-08-14T21:16:46.5133498Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2025-08-14T21:16:46.5133674Z name (str): Event name. (E.g. Current action being performed). 2025-08-14T21:16:46.5133799Z hostname (str): Hostname of the node. 2025-08-14T21:16:46.5133938Z pid (Optional[int]): The process id of the node. 2025-08-14T21:16:46.5134171Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2025-08-14T21:16:46.5134444Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2025-08-14T21:16:46.5134598Z rank (Optional[int]): The rank of the node, if known. 2025-08-14T21:16:46.5134693Z Returns: 2025-08-14T21:16:46.5134773Z None 2025-08-14T21:16:46.5134854Z Example: 2025-08-14T21:16:46.5134997Z >>> # See DynamicRendezvousHandler class 2025-08-14T21:16:46.5135087Z >>> def _record( 2025-08-14T21:16:46.5135173Z ... self, 2025-08-14T21:16:46.5135282Z ... message: str, 2025-08-14T21:16:46.5135420Z ... node_state: NodeState = NodeState.RUNNING, 2025-08-14T21:16:46.5135527Z ... rank: Optional[int] = None, 2025-08-14T21:16:46.5135630Z ... ) -> None: 2025-08-14T21:16:46.5135745Z ... construct_and_record_rdzv_event( 2025-08-14T21:16:46.5135918Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2025-08-14T21:16:46.5136035Z ... run_id=self._settings.run_id, 2025-08-14T21:16:46.5136130Z ... message=message, 2025-08-14T21:16:46.5136247Z ... node_state=node_state, 2025-08-14T21:16:46.5136363Z ... hostname=self._this_node.addr, 2025-08-14T21:16:46.5136468Z ... pid=self._this_node.pid, 2025-08-14T21:16:46.5136597Z ... local_id=self._this_node.local_id, 2025-08-14T21:16:46.5136688Z ... rank=rank, 2025-08-14T21:16:46.5136770Z ... ) 2025-08-14T21:16:46.5136860Z 2025-08-14T21:16:46.5137105Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5137194Z 2025-08-14T21:16:46.5137288Z warnings.warn(msg) 2025-08-14T21:16:46.5137366Z 2025-08-14T21:16:46.5137571Z --- Parse Warning: 73 / 146 --- 2025-08-14T21:16:46.5138451Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114. 2025-08-14T21:16:46.5138739Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5138829Z 2025-08-14T21:16:46.5138991Z This configures FSDP-native mixed precision training. 2025-08-14T21:16:46.5139067Z 2025-08-14T21:16:46.5139169Z Attributes: 2025-08-14T21:16:46.5139399Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2025-08-14T21:16:46.5139609Z parameters during forward and backward and thus the dtype for 2025-08-14T21:16:46.5139822Z forward and backward computation. Outside forward and backward, the 2025-08-14T21:16:46.5140009Z *sharded* parameters are kept in full precision (e.g. for the 2025-08-14T21:16:46.5140220Z optimizer step), and for model checkpointing, the parameters are 2025-08-14T21:16:46.5140371Z always saved in full precision. (Default: ``None``) 2025-08-14T21:16:46.5140574Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-14T21:16:46.5140796Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2025-08-14T21:16:46.5140966Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2025-08-14T21:16:46.5141171Z the ``param_dtype`` value, still running gradient reduction in low 2025-08-14T21:16:46.5141443Z precision. This is permitted to differ from ``param_dtype``, e.g. 2025-08-14T21:16:46.5141660Z to force gradient reduction to run in full precision. (Default: 2025-08-14T21:16:46.5141757Z ``None``) 2025-08-14T21:16:46.5141959Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-08-14T21:16:46.5142149Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2025-08-14T21:16:46.5142348Z ``buffer_dtype`` in the first forward pass and keeps them in that 2025-08-14T21:16:46.5142548Z dtype thereafter. For model checkpointing, the buffers are saved 2025-08-14T21:16:46.5142740Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2025-08-14T21:16:46.5142825Z ``None``) 2025-08-14T21:16:46.5143015Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2025-08-14T21:16:46.5143238Z gradients to full precision after the backward pass in preparation 2025-08-14T21:16:46.5143436Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2025-08-14T21:16:46.5143629Z in the dtype used for gradient reduction, which can save memory if 2025-08-14T21:16:46.5143835Z using a custom optimizer that supports running in low precision. 2025-08-14T21:16:46.5143931Z (Default: ``False``) 2025-08-14T21:16:46.5144143Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2025-08-14T21:16:46.5144333Z its forward args and kwargs to ``param_dtype``. This is to ensure 2025-08-14T21:16:46.5144537Z that parameter and input dtypes match for forward computation, as 2025-08-14T21:16:46.5144744Z required by many ops. This may need to be set to ``True`` when only 2025-08-14T21:16:46.5144952Z applying mixed precision to some but not all FSDP modules, in which 2025-08-14T21:16:46.5145151Z case a mixed-precision FSDP submodule needs to recast its inputs. 2025-08-14T21:16:46.5145263Z (Default: ``False``) 2025-08-14T21:16:46.5145473Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2025-08-14T21:16:46.5145769Z casts its forward args and kwargs to ``param_dtype``, overriding 2025-08-14T21:16:46.5145957Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2025-08-14T21:16:46.5146095Z this does not do anything. (Default: ``True``) 2025-08-14T21:16:46.5146313Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2025-08-14T21:16:46.5146534Z module classes to ignore for mixed precision when using an 2025-08-14T21:16:46.5146710Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2025-08-14T21:16:46.5146923Z applied to them separately with mixed precision disabled (meaning 2025-08-14T21:16:46.5147121Z that the final FSDP construction would deviate from the specified 2025-08-14T21:16:46.5147319Z policy). If ``auto_wrap_policy`` is not specified, then this does 2025-08-14T21:16:46.5147512Z not do anything. This API is experimental and subject to change. 2025-08-14T21:16:46.5147617Z (Default: ``(_BatchNorm,)``) 2025-08-14T21:16:46.5147707Z 2025-08-14T21:16:46.5147871Z .. note:: This API is experimental and subject to change. 2025-08-14T21:16:46.5147948Z 2025-08-14T21:16:46.5148170Z .. note:: Only floating point tensors are cast to their specified dtypes. 2025-08-14T21:16:46.5148247Z 2025-08-14T21:16:46.5148433Z .. note:: In ``summon_full_params``, parameters are forced to full 2025-08-14T21:16:46.5148541Z precision, but buffers are not. 2025-08-14T21:16:46.5148618Z 2025-08-14T21:16:46.5148825Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2025-08-14T21:16:46.5149023Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2025-08-14T21:16:46.5149299Z Disabling FSDP's mixed precision for those norm modules only means that 2025-08-14T21:16:46.5149515Z the affine parameters are kept in ``float32``. However, this incurs 2025-08-14T21:16:46.5149764Z separate all-gathers and reduce-scatters for those norm modules, which 2025-08-14T21:16:46.5149984Z may be inefficient, so if the workload permits, the user should prefer 2025-08-14T21:16:46.5150126Z to still apply mixed precision to those modules. 2025-08-14T21:16:46.5150202Z 2025-08-14T21:16:46.5150409Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2025-08-14T21:16:46.5150609Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2025-08-14T21:16:46.5150823Z modules will have FSDP applied to them separately with mixed precision 2025-08-14T21:16:46.5151005Z disabled. See the ``_module_classes_to_ignore`` argument. 2025-08-14T21:16:46.5151084Z 2025-08-14T21:16:46.5151292Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2025-08-14T21:16:46.5151499Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2025-08-14T21:16:46.5151668Z its ``cast_root_forward_inputs`` takes precedence over its 2025-08-14T21:16:46.5151856Z ``cast_forward_inputs``. For non-root FSDP instances, their 2025-08-14T21:16:46.5152062Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2025-08-14T21:16:46.5152274Z sufficient for the typical case where each FSDP instance has the same 2025-08-14T21:16:46.5152504Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2025-08-14T21:16:46.5152682Z ``param_dtype`` at the beginning of the model's forward pass. 2025-08-14T21:16:46.5152772Z 2025-08-14T21:16:46.5152968Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2025-08-14T21:16:46.5153192Z configurations, we recommend setting individual ``cast_forward_inputs`` 2025-08-14T21:16:46.5153406Z values to configure casting inputs or not before each instance's 2025-08-14T21:16:46.5153595Z forward. In such a case, since the casts happen before each FSDP 2025-08-14T21:16:46.5153797Z instance's forward, a parent FSDP instance should have its non-FSDP 2025-08-14T21:16:46.5154028Z submodules run before its FSDP submodules to avoid the activation dtype 2025-08-14T21:16:46.5154226Z being changed due to a different ``MixedPrecision`` configuration. 2025-08-14T21:16:46.5154317Z 2025-08-14T21:16:46.5154402Z Example:: 2025-08-14T21:16:46.5154478Z 2025-08-14T21:16:46.5154645Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5154809Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2025-08-14T21:16:46.5154903Z >>> model[1] = FSDP( 2025-08-14T21:16:46.5155008Z >>> model[1], 2025-08-14T21:16:46.5155305Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2025-08-14T21:16:46.5155405Z >>> ) 2025-08-14T21:16:46.5155499Z >>> model = FSDP( 2025-08-14T21:16:46.5155585Z >>> model, 2025-08-14T21:16:46.5155891Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2025-08-14T21:16:46.5155971Z >>> ) 2025-08-14T21:16:46.5156049Z 2025-08-14T21:16:46.5156263Z The above shows a working example. On the other hand, if ``model[1]`` 2025-08-14T21:16:46.5156458Z were replaced with ``model[0]``, meaning that the submodule using 2025-08-14T21:16:46.5156675Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2025-08-14T21:16:46.5156899Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2025-08-14T21:16:46.5156982Z ones. 2025-08-14T21:16:46.5157075Z 2025-08-14T21:16:46.5157157Z 2025-08-14T21:16:46.5157400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5157547Z 2025-08-14T21:16:46.5157647Z warnings.warn(msg) 2025-08-14T21:16:46.5157750Z 2025-08-14T21:16:46.5157985Z --- Parse Warning: 74 / 146 --- 2025-08-14T21:16:46.5158893Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-08-14T21:16:46.5159146Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5159239Z 2025-08-14T21:16:46.5159442Z ``FullStateDictConfig`` is a config class meant to be used with 2025-08-14T21:16:46.5159646Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-08-14T21:16:46.5159840Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-08-14T21:16:46.5160054Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-08-14T21:16:46.5160267Z is meant to be used via the :func:`state_dict_type` context manager as 2025-08-14T21:16:46.5160353Z follows: 2025-08-14T21:16:46.5160431Z 2025-08-14T21:16:46.5160572Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5160803Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:46.5160943Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-08-14T21:16:46.5161137Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-08-14T21:16:46.5161351Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-08-14T21:16:46.5161474Z >>> state = fsdp.state_dict() 2025-08-14T21:16:46.5161679Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-08-14T21:16:46.5161907Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-08-14T21:16:46.5162152Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-08-14T21:16:46.5162257Z >>> if dist.get_rank() == 0: 2025-08-14T21:16:46.5162443Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-08-14T21:16:46.5162583Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-08-14T21:16:46.5162703Z >>> model.load_state_dict(state_dict) 2025-08-14T21:16:46.5162941Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-08-14T21:16:46.5163168Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-08-14T21:16:46.5163289Z >>> fsdp = FSDP( 2025-08-14T21:16:46.5163388Z ... model, 2025-08-14T21:16:46.5163517Z ... device_id=torch.cuda.current_device(), 2025-08-14T21:16:46.5163620Z ... auto_wrap_policy=..., 2025-08-14T21:16:46.5163733Z ... sync_module_states=True, 2025-08-14T21:16:46.5163815Z ... ) 2025-08-14T21:16:46.5164032Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-08-14T21:16:46.5164111Z 2025-08-14T21:16:46.5164198Z Attributes: 2025-08-14T21:16:46.5164398Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-08-14T21:16:46.5164588Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-08-14T21:16:46.5164740Z ranks save the full state dict. (Default: ``False``) 2025-08-14T21:16:46.5164829Z 2025-08-14T21:16:46.5165070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5165151Z 2025-08-14T21:16:46.5165258Z warnings.warn(msg) 2025-08-14T21:16:46.5165337Z 2025-08-14T21:16:46.5165540Z --- Parse Warning: 75 / 146 --- 2025-08-14T21:16:46.5166686Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634. 2025-08-14T21:16:46.5166986Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5167234Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-14T21:16:46.5167311Z 2025-08-14T21:16:46.5167562Z Also takes (optional) configuration for the model's and optimizer's state dict. 2025-08-14T21:16:46.5167771Z The target module does not have to be a FSDP module. If the target 2025-08-14T21:16:46.5167975Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2025-08-14T21:16:46.5168065Z 2025-08-14T21:16:46.5168257Z .. note:: This API should be called for only the top-level (root) 2025-08-14T21:16:46.5168343Z module. 2025-08-14T21:16:46.5168435Z 2025-08-14T21:16:46.5168636Z .. note:: This API enables users to transparently use the conventional 2025-08-14T21:16:46.5168820Z ``state_dict`` API to take model checkpoints in cases where the 2025-08-14T21:16:46.5169034Z root FSDP module is wrapped by another ``nn.Module``. For example, 2025-08-14T21:16:46.5169234Z the following will ensure ``state_dict`` is called on all non-FSDP 2025-08-14T21:16:46.5169473Z instances, while dispatching into `sharded_state_dict` implementation 2025-08-14T21:16:46.5169563Z for FSDP: 2025-08-14T21:16:46.5169640Z 2025-08-14T21:16:46.5169742Z Example:: 2025-08-14T21:16:46.5169821Z 2025-08-14T21:16:46.5169953Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5170070Z >>> model = DDP(FSDP(...)) 2025-08-14T21:16:46.5170179Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:46.5170269Z >>> model, 2025-08-14T21:16:46.5170410Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-14T21:16:46.5170620Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2025-08-14T21:16:46.5170849Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2025-08-14T21:16:46.5170931Z >>> ) 2025-08-14T21:16:46.5171053Z >>> param_state_dict = model.state_dict() 2025-08-14T21:16:46.5171228Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-14T21:16:46.5171305Z 2025-08-14T21:16:46.5171386Z Args: 2025-08-14T21:16:46.5171522Z module (torch.nn.Module): Root module. 2025-08-14T21:16:46.5171778Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-14T21:16:46.5172017Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2025-08-14T21:16:46.5172127Z target ``state_dict_type``. 2025-08-14T21:16:46.5172373Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2025-08-14T21:16:46.5172503Z for the optimizer state dict. 2025-08-14T21:16:46.5172582Z 2025-08-14T21:16:46.5172666Z Returns: 2025-08-14T21:16:46.5172892Z A StateDictSettings that include the previous state_dict type and 2025-08-14T21:16:46.5173003Z configuration for the module. 2025-08-14T21:16:46.5173083Z 2025-08-14T21:16:46.5173338Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5173416Z 2025-08-14T21:16:46.5173523Z warnings.warn(msg) 2025-08-14T21:16:46.5173604Z 2025-08-14T21:16:46.5173792Z --- Parse Warning: 76 / 146 --- 2025-08-14T21:16:46.5174956Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792. 2025-08-14T21:16:46.5175259Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5175495Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-08-14T21:16:46.5175588Z 2025-08-14T21:16:46.5175892Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2025-08-14T21:16:46.5176240Z :meth:`set_state_dict_type` for the detail. 2025-08-14T21:16:46.5176320Z 2025-08-14T21:16:46.5176412Z Example:: 2025-08-14T21:16:46.5176505Z 2025-08-14T21:16:46.5176639Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5176747Z >>> model = DDP(FSDP(...)) 2025-08-14T21:16:46.5176871Z >>> with FSDP.state_dict_type( 2025-08-14T21:16:46.5176959Z >>> model, 2025-08-14T21:16:46.5177094Z >>> StateDictType.SHARDED_STATE_DICT, 2025-08-14T21:16:46.5177191Z >>> ): 2025-08-14T21:16:46.5177317Z >>> checkpoint = model.state_dict() 2025-08-14T21:16:46.5177411Z 2025-08-14T21:16:46.5177490Z Args: 2025-08-14T21:16:46.5177612Z module (torch.nn.Module): Root module. 2025-08-14T21:16:46.5177847Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-08-14T21:16:46.5178067Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2025-08-14T21:16:46.5178221Z configuration for the target ``state_dict_type``. 2025-08-14T21:16:46.5178459Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2025-08-14T21:16:46.5178648Z ``state_dict`` configuration for the target ``state_dict_type``. 2025-08-14T21:16:46.5178741Z 2025-08-14T21:16:46.5178985Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5179065Z 2025-08-14T21:16:46.5179174Z warnings.warn(msg) 2025-08-14T21:16:46.5179250Z 2025-08-14T21:16:46.5179442Z --- Parse Warning: 77 / 146 --- 2025-08-14T21:16:46.5180578Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805. 2025-08-14T21:16:46.5180827Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5181015Z 2025-08-14T21:16:46.5181246Z Transform the state-dict of an optimizer corresponding to a sharded model. 2025-08-14T21:16:46.5181324Z 2025-08-14T21:16:46.5181522Z The given state-dict can be transformed to one of three types: 2025-08-14T21:16:46.5181809Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2025-08-14T21:16:46.5181890Z 2025-08-14T21:16:46.5182128Z For full optimizer state_dict, all states are unflattened and not sharded. 2025-08-14T21:16:46.5182330Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2025-08-14T21:16:46.5182413Z avoid OOM. 2025-08-14T21:16:46.5182503Z 2025-08-14T21:16:46.5182727Z For sharded optimizer state_dict, all states are unflattened but sharded. 2025-08-14T21:16:46.5182936Z CPU only can be specified via :meth:`state_dict_type` to further save 2025-08-14T21:16:46.5183015Z memory. 2025-08-14T21:16:46.5183091Z 2025-08-14T21:16:46.5183312Z For local state_dict, no transformation will be performed. But a state 2025-08-14T21:16:46.5183539Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2025-08-14T21:16:46.5183648Z nature (this is not supported yet). 2025-08-14T21:16:46.5183738Z 2025-08-14T21:16:46.5183826Z Example:: 2025-08-14T21:16:46.5183945Z 2025-08-14T21:16:46.5184121Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5184386Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:46.5184553Z >>> from torch.distributed.fsdp import StateDictType 2025-08-14T21:16:46.5184726Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-14T21:16:46.5184921Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-14T21:16:46.5185031Z >>> # Save a checkpoint 2025-08-14T21:16:46.5185128Z >>> model, optim = ... 2025-08-14T21:16:46.5185235Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:46.5185335Z >>> model, 2025-08-14T21:16:46.5185453Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:46.5185581Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5185835Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5185922Z >>> ) 2025-08-14T21:16:46.5186048Z >>> state_dict = model.state_dict() 2025-08-14T21:16:46.5186213Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-08-14T21:16:46.5186353Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-14T21:16:46.5186460Z >>> # Load a checkpoint 2025-08-14T21:16:46.5186556Z >>> model, optim = ... 2025-08-14T21:16:46.5186700Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-14T21:16:46.5186817Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:46.5186900Z >>> model, 2025-08-14T21:16:46.5187014Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:46.5187154Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5187296Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5187390Z >>> ) 2025-08-14T21:16:46.5187502Z >>> model.load_state_dict(state_dict) 2025-08-14T21:16:46.5187645Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-14T21:16:46.5187771Z >>> model, optim, optim_state_dict 2025-08-14T21:16:46.5187852Z >>> ) 2025-08-14T21:16:46.5187985Z >>> optim.load_state_dict(optim_state_dict) 2025-08-14T21:16:46.5188075Z 2025-08-14T21:16:46.5188155Z Args: 2025-08-14T21:16:46.5188346Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-14T21:16:46.5188555Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-14T21:16:46.5188687Z were passed into the optimizer ``optim``. 2025-08-14T21:16:46.5188879Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-14T21:16:46.5189005Z parameters. 2025-08-14T21:16:46.5189213Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2025-08-14T21:16:46.5189429Z transform. If the value is None, optim.state_dict() will be used. ( 2025-08-14T21:16:46.5189523Z Default: ``None``) 2025-08-14T21:16:46.5189759Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-14T21:16:46.5189956Z are sharded or ``None`` if using the default process group. ( 2025-08-14T21:16:46.5190051Z Default: ``None``) 2025-08-14T21:16:46.5190130Z 2025-08-14T21:16:46.5190229Z Returns: 2025-08-14T21:16:46.5190413Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2025-08-14T21:16:46.5190591Z ``model``. The sharding of the optimizer state is based on 2025-08-14T21:16:46.5190689Z ``state_dict_type``. 2025-08-14T21:16:46.5190767Z 2025-08-14T21:16:46.5191026Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5191106Z 2025-08-14T21:16:46.5191204Z warnings.warn(msg) 2025-08-14T21:16:46.5191297Z 2025-08-14T21:16:46.5191500Z --- Parse Warning: 78 / 146 --- 2025-08-14T21:16:46.5192676Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903. 2025-08-14T21:16:46.5192996Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5193077Z 2025-08-14T21:16:46.5193432Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2025-08-14T21:16:46.5193510Z 2025-08-14T21:16:46.5193673Z Given a ``optim_state_dict`` that is transformed through 2025-08-14T21:16:46.5193894Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2025-08-14T21:16:46.5194095Z state_dict that can be loaded to ``optim`` which is the optimizer for 2025-08-14T21:16:46.5194279Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2025-08-14T21:16:46.5194372Z 2025-08-14T21:16:46.5194503Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5194747Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-08-14T21:16:46.5194901Z >>> from torch.distributed.fsdp import StateDictType 2025-08-14T21:16:46.5195073Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-08-14T21:16:46.5195288Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-08-14T21:16:46.5195389Z >>> # Save a checkpoint 2025-08-14T21:16:46.5195484Z >>> model, optim = ... 2025-08-14T21:16:46.5195599Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:46.5195682Z >>> model, 2025-08-14T21:16:46.5195812Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:46.5195941Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5196082Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5196174Z >>> ) 2025-08-14T21:16:46.5196285Z >>> state_dict = model.state_dict() 2025-08-14T21:16:46.5196400Z >>> original_osd = optim.state_dict() 2025-08-14T21:16:46.5196542Z >>> optim_state_dict = FSDP.optim_state_dict( 2025-08-14T21:16:46.5196625Z >>> model, 2025-08-14T21:16:46.5196708Z >>> optim, 2025-08-14T21:16:46.5196828Z >>> optim_state_dict=original_osd 2025-08-14T21:16:46.5196907Z >>> ) 2025-08-14T21:16:46.5197046Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-08-14T21:16:46.5197152Z >>> # Load a checkpoint 2025-08-14T21:16:46.5197245Z >>> model, optim = ... 2025-08-14T21:16:46.5197430Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-08-14T21:16:46.5197536Z >>> FSDP.set_state_dict_type( 2025-08-14T21:16:46.5197618Z >>> model, 2025-08-14T21:16:46.5197745Z >>> StateDictType.FULL_STATE_DICT, 2025-08-14T21:16:46.5197871Z >>> FullStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5198017Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-08-14T21:16:46.5198107Z >>> ) 2025-08-14T21:16:46.5198224Z >>> model.load_state_dict(state_dict) 2025-08-14T21:16:46.5198368Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-08-14T21:16:46.5198491Z >>> model, optim, optim_state_dict 2025-08-14T21:16:46.5198572Z >>> ) 2025-08-14T21:16:46.5198703Z >>> optim.load_state_dict(optim_state_dict) 2025-08-14T21:16:46.5198781Z 2025-08-14T21:16:46.5198864Z Args: 2025-08-14T21:16:46.5199063Z model (torch.nn.Module): Root module (which may or may not be a 2025-08-14T21:16:46.5199261Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-08-14T21:16:46.5199389Z were passed into the optimizer ``optim``. 2025-08-14T21:16:46.5199577Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-08-14T21:16:46.5199666Z parameters. 2025-08-14T21:16:46.5199897Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2025-08-14T21:16:46.5200128Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2025-08-14T21:16:46.5200338Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2025-08-14T21:16:46.5200520Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2025-08-14T21:16:46.5200704Z load_directly (bool): If this is set to True, this API will also 2025-08-14T21:16:46.5200893Z call optim.load_state_dict(result) before returning the result. 2025-08-14T21:16:46.5201116Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2025-08-14T21:16:46.5201214Z (Default: ``False``) 2025-08-14T21:16:46.5201443Z group (dist.ProcessGroup): Model's process group across which parameters 2025-08-14T21:16:46.5201632Z are sharded or ``None`` if using the default process group. ( 2025-08-14T21:16:46.5201728Z Default: ``None``) 2025-08-14T21:16:46.5201821Z 2025-08-14T21:16:46.5202066Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5202147Z 2025-08-14T21:16:46.5202252Z warnings.warn(msg) 2025-08-14T21:16:46.5202330Z 2025-08-14T21:16:46.5202527Z --- Parse Warning: 79 / 146 --- 2025-08-14T21:16:46.5203503Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=129. 2025-08-14T21:16:46.5203759Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5203850Z 2025-08-14T21:16:46.5204066Z RemoteModule instance can only be created after RPC initialization. 2025-08-14T21:16:46.5204144Z 2025-08-14T21:16:46.5204346Z It creates a user-specified module on a specified remote node. 2025-08-14T21:16:46.5204573Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-14T21:16:46.5204677Z executed on the remote node. 2025-08-14T21:16:46.5204920Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-14T21:16:46.5205072Z gradients back to the corresponding remote module. 2025-08-14T21:16:46.5205418Z It can be shared across processors using `RPC framework `__, 2025-08-14T21:16:46.5205618Z without incurring any overheads of copying the actual module, 2025-08-14T21:16:46.5205808Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2025-08-14T21:16:46.5205988Z pointing to the remote module. 2025-08-14T21:16:46.5206067Z 2025-08-14T21:16:46.5206258Z The arguments of ``forward_async`` and ``forward`` are the same as 2025-08-14T21:16:46.5206468Z the ``forward`` method of the module returned by the ``module_cls``. 2025-08-14T21:16:46.5206548Z 2025-08-14T21:16:46.5206846Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2025-08-14T21:16:46.5206942Z 2025-08-14T21:16:46.5207182Z Particularly, to create a hybrid model, typically the local modules should be 2025-08-14T21:16:46.5207553Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2025-08-14T21:16:46.5207646Z Hybrid Example: 2025-08-14T21:16:46.5207760Z >>> class HybridModel(nn.Module): 2025-08-14T21:16:46.5207882Z >>> def __init__(self) -> None: 2025-08-14T21:16:46.5207990Z >>> nn.Module.__init__(self) 2025-08-14T21:16:46.5208130Z >>> self.remote_embedding = RemoteModule(...) 2025-08-14T21:16:46.5208262Z >>> self.local_linear = nn.Linear(...) 2025-08-14T21:16:46.5208339Z 2025-08-14T21:16:46.5208528Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-14T21:16:46.5208831Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2025-08-14T21:16:46.5209030Z the generated ``RemoteModule`` will have 2 methods in signature of 2025-08-14T21:16:46.5209194Z ``def forward(input: Tensor) -> Tensor:`` and 2025-08-14T21:16:46.5209351Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2025-08-14T21:16:46.5209429Z 2025-08-14T21:16:46.5209531Z .. note:: 2025-08-14T21:16:46.5209670Z If the remote module is placed on a cuda device, 2025-08-14T21:16:46.5209896Z any input CPU tensors will be automatically moved to the same cuda device, 2025-08-14T21:16:46.5210289Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2025-08-14T21:16:46.5210366Z 2025-08-14T21:16:46.5210460Z Args: 2025-08-14T21:16:46.5210739Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-14T21:16:46.5211018Z The device can be a local device or a remote device specified by one of the following remote 2025-08-14T21:16:46.5211121Z formats: 2025-08-14T21:16:46.5211199Z 2025-08-14T21:16:46.5211337Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-14T21:16:46.5211494Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-14T21:16:46.5211570Z 2025-08-14T21:16:46.5211805Z In addition, the device field can be optional and the default value is "cpu". 2025-08-14T21:16:46.5211930Z module_cls (nn.Module): For example, 2025-08-14T21:16:46.5212037Z >>> class MyModule(nn.Module): 2025-08-14T21:16:46.5212151Z >>> def forward(input): 2025-08-14T21:16:46.5212249Z >>> return input + 1 2025-08-14T21:16:46.5212331Z >>> 2025-08-14T21:16:46.5212443Z >>> module_cls = MyModule 2025-08-14T21:16:46.5212632Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-14T21:16:46.5212821Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-14T21:16:46.5213101Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-14T21:16:46.5213322Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-14T21:16:46.5213543Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-14T21:16:46.5213766Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-14T21:16:46.5213843Z 2025-08-14T21:16:46.5213938Z Returns: 2025-08-14T21:16:46.5214198Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-14T21:16:46.5214420Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-14T21:16:46.5214691Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-14T21:16:46.5214830Z on the user-provided module on the remote side. 2025-08-14T21:16:46.5214912Z 2025-08-14T21:16:46.5215013Z Example:: 2025-08-14T21:16:46.5215163Z Run the following code in two different processes: 2025-08-14T21:16:46.5215255Z 2025-08-14T21:16:46.5215368Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5215460Z >>> # On worker 0: 2025-08-14T21:16:46.5215561Z >>> import torch 2025-08-14T21:16:46.5215684Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5215789Z >>> from torch import nn, Tensor 2025-08-14T21:16:46.5216017Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-14T21:16:46.5216100Z >>> 2025-08-14T21:16:46.5216235Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:46.5216364Z >>> remote_linear_module = RemoteModule( 2025-08-14T21:16:46.5216486Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-14T21:16:46.5216580Z >>> ) 2025-08-14T21:16:46.5216770Z >>> input = torch.randn(128, 20) 2025-08-14T21:16:46.5216920Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-14T21:16:46.5217058Z >>> ret = ret_fut.wait() 2025-08-14T21:16:46.5217151Z >>> rpc.shutdown() 2025-08-14T21:16:46.5217229Z 2025-08-14T21:16:46.5217329Z >>> # On worker 1: 2025-08-14T21:16:46.5217417Z >>> import torch 2025-08-14T21:16:46.5217538Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5217633Z >>> 2025-08-14T21:16:46.5217769Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:46.5217862Z >>> rpc.shutdown() 2025-08-14T21:16:46.5217958Z 2025-08-14T21:16:46.5218203Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5218293Z 2025-08-14T21:16:46.5218386Z warnings.warn(msg) 2025-08-14T21:16:46.5218465Z 2025-08-14T21:16:46.5218678Z --- Parse Warning: 80 / 146 --- 2025-08-14T21:16:46.5219691Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=506. 2025-08-14T21:16:46.5219948Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5220043Z 2025-08-14T21:16:46.5220350Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2025-08-14T21:16:46.5220443Z 2025-08-14T21:16:46.5220753Z This alternate initialization method can be particularly useful if we want to create multiple 2025-08-14T21:16:46.5221056Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2025-08-14T21:16:46.5221148Z 2025-08-14T21:16:46.5221412Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2025-08-14T21:16:46.5221591Z which is not supported. The recommended way is as follows: 2025-08-14T21:16:46.5221684Z 2025-08-14T21:16:46.5221802Z 1. the sender creates a RemoteModule; 2025-08-14T21:16:46.5221943Z 2. the sender sends its ``module_rref`` over RPC; 2025-08-14T21:16:46.5222278Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2025-08-14T21:16:46.5222358Z 2025-08-14T21:16:46.5222460Z Example:: 2025-08-14T21:16:46.5222607Z Run the following code in two different processes: 2025-08-14T21:16:46.5222688Z 2025-08-14T21:16:46.5222816Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5222936Z >>> # On worker 0: 2025-08-14T21:16:46.5223030Z >>> import torch 2025-08-14T21:16:46.5223169Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5223275Z >>> from torch import nn, Tensor 2025-08-14T21:16:46.5223491Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-14T21:16:46.5223592Z >>> 2025-08-14T21:16:46.5223724Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:46.5223849Z >>> remote_module = RemoteModule( 2025-08-14T21:16:46.5223971Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-14T21:16:46.5224052Z >>> ) 2025-08-14T21:16:46.5224148Z >>> 2025-08-14T21:16:46.5224254Z >>> remote_module1 = rpc.rpc_sync( 2025-08-14T21:16:46.5224348Z >>> "worker1/cpu", 2025-08-14T21:16:46.5224483Z >>> RemoteModule.init_from_module_rref, 2025-08-14T21:16:46.5224634Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2025-08-14T21:16:46.5224719Z >>> ) 2025-08-14T21:16:46.5224825Z >>> rpc.shutdown() 2025-08-14T21:16:46.5224903Z 2025-08-14T21:16:46.5224993Z >>> # On worker 1: 2025-08-14T21:16:46.5225093Z >>> import torch 2025-08-14T21:16:46.5225216Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5225337Z >>> 2025-08-14T21:16:46.5225494Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:46.5225611Z >>> rpc.shutdown() 2025-08-14T21:16:46.5225789Z 2025-08-14T21:16:46.5225872Z Args: 2025-08-14T21:16:46.5226154Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-14T21:16:46.5226448Z The device can be a local device or a remote device specified by one of the following remote 2025-08-14T21:16:46.5226533Z formats: 2025-08-14T21:16:46.5226610Z 2025-08-14T21:16:46.5226759Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-08-14T21:16:46.5226909Z 2. "/" (ex: "trainer0/cuda:0"). 2025-08-14T21:16:46.5226999Z 2025-08-14T21:16:46.5227233Z In addition, the device field can be optional and the default value is "cpu". 2025-08-14T21:16:46.5227472Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2025-08-14T21:16:46.5227598Z the created remote module. 2025-08-14T21:16:46.5227864Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-08-14T21:16:46.5228086Z to be created. The type object should be decorated by @torch.jit.interface. 2025-08-14T21:16:46.5228310Z If not provided, the generated RemoteModule is not torchscript-able. 2025-08-14T21:16:46.5228536Z Warning, this is an experimental API and susceptible to frequent changes. 2025-08-14T21:16:46.5228627Z 2025-08-14T21:16:46.5228709Z Returns: 2025-08-14T21:16:46.5228946Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-14T21:16:46.5229186Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2025-08-14T21:16:46.5229444Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-14T21:16:46.5229589Z on the user-provided module on the remote side. 2025-08-14T21:16:46.5229680Z 2025-08-14T21:16:46.5229924Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5230004Z 2025-08-14T21:16:46.5230111Z warnings.warn(msg) 2025-08-14T21:16:46.5230189Z 2025-08-14T21:16:46.5230412Z --- Parse Warning: 81 / 146 --- 2025-08-14T21:16:46.5231340Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=598. 2025-08-14T21:16:46.5231630Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5231720Z 2025-08-14T21:16:46.5231945Z A RemoteModule instance can only be created after RPC initialization. 2025-08-14T21:16:46.5232022Z 2025-08-14T21:16:46.5232218Z It creates a user-specified module on a specified remote node. 2025-08-14T21:16:46.5232446Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-08-14T21:16:46.5232566Z executed on the remote node. 2025-08-14T21:16:46.5232789Z It takes care of autograd recording to ensure the backward pass propagates 2025-08-14T21:16:46.5232941Z gradients back to the corresponding remote module. 2025-08-14T21:16:46.5233030Z 2025-08-14T21:16:46.5233238Z It generates two methods ``forward_async`` and ``forward`` based on the 2025-08-14T21:16:46.5233443Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2025-08-14T21:16:46.5233696Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2025-08-14T21:16:46.5233886Z and ``forward`` are the same as the ``forward`` method of the module 2025-08-14T21:16:46.5234008Z returned by the ``module_cls``. 2025-08-14T21:16:46.5234087Z 2025-08-14T21:16:46.5234342Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-08-14T21:16:46.5234622Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2025-08-14T21:16:46.5234883Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2025-08-14T21:16:46.5234966Z 2025-08-14T21:16:46.5235105Z | ``def forward(input: Tensor) -> Tensor:`` 2025-08-14T21:16:46.5235267Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2025-08-14T21:16:46.5235348Z 2025-08-14T21:16:46.5235445Z Args: 2025-08-14T21:16:46.5235732Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-08-14T21:16:46.5236075Z The format should be "/", where the device field can be parsed as torch.device type. 2025-08-14T21:16:46.5236213Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2025-08-14T21:16:46.5236448Z In addition, the device field can be optional and the default value is "cpu". 2025-08-14T21:16:46.5236702Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2025-08-14T21:16:46.5236781Z 2025-08-14T21:16:46.5236890Z >>> class MyModule(nn.Module): 2025-08-14T21:16:46.5237002Z >>> def forward(input): 2025-08-14T21:16:46.5237102Z >>> return input + 1 2025-08-14T21:16:46.5237194Z >>> 2025-08-14T21:16:46.5237292Z >>> module_cls = MyModule 2025-08-14T21:16:46.5237369Z 2025-08-14T21:16:46.5237575Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-08-14T21:16:46.5237760Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-08-14T21:16:46.5237838Z 2025-08-14T21:16:46.5237933Z Returns: 2025-08-14T21:16:46.5238165Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-08-14T21:16:46.5238382Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-08-14T21:16:46.5238656Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-08-14T21:16:46.5238797Z on the user-provided module on the remote side. 2025-08-14T21:16:46.5238888Z 2025-08-14T21:16:46.5238978Z Example:: 2025-08-14T21:16:46.5239124Z Run the following code in two different processes: 2025-08-14T21:16:46.5239214Z 2025-08-14T21:16:46.5239326Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5239416Z >>> # On worker 0: 2025-08-14T21:16:46.5239518Z >>> import torch 2025-08-14T21:16:46.5239641Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5239782Z >>> from torch import nn, Tensor 2025-08-14T21:16:46.5240009Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-08-14T21:16:46.5240089Z >>> 2025-08-14T21:16:46.5240223Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:46.5240356Z >>> remote_linear_module = RemoteModule( 2025-08-14T21:16:46.5240481Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-08-14T21:16:46.5240576Z >>> ) 2025-08-14T21:16:46.5240680Z >>> input = torch.randn(128, 20) 2025-08-14T21:16:46.5240827Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-08-14T21:16:46.5240935Z >>> ret = ret_fut.wait() 2025-08-14T21:16:46.5241028Z >>> rpc.shutdown() 2025-08-14T21:16:46.5241105Z 2025-08-14T21:16:46.5241207Z >>> # On worker 1: 2025-08-14T21:16:46.5241293Z >>> import torch 2025-08-14T21:16:46.5241415Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5241508Z >>> 2025-08-14T21:16:46.5241643Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:46.5241747Z >>> rpc.shutdown() 2025-08-14T21:16:46.5241824Z 2025-08-14T21:16:46.5242008Z Furthermore, a more practical example that is combined with 2025-08-14T21:16:46.5242540Z `DistributedDataParallel `__ (DDP) 2025-08-14T21:16:46.5242884Z can be found in this `tutorial `__. 2025-08-14T21:16:46.5242963Z 2025-08-14T21:16:46.5243219Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5243296Z 2025-08-14T21:16:46.5243389Z warnings.warn(msg) 2025-08-14T21:16:46.5243479Z 2025-08-14T21:16:46.5243681Z --- Parse Warning: 82 / 146 --- 2025-08-14T21:16:46.5244638Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=129. 2025-08-14T21:16:46.5244886Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5244965Z 2025-08-14T21:16:46.5245210Z DistributedOptimizer takes remote references to parameters scattered 2025-08-14T21:16:46.5245441Z across workers and applies the given optimizer locally for each parameter. 2025-08-14T21:16:46.5245519Z 2025-08-14T21:16:46.5245761Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2025-08-14T21:16:46.5245910Z to retrieve the gradients for specific parameters. 2025-08-14T21:16:46.5246003Z 2025-08-14T21:16:46.5246097Z Concurrent calls to 2025-08-14T21:16:46.5246305Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2025-08-14T21:16:46.5246457Z either from the same or different clients, will 2025-08-14T21:16:46.5246673Z be serialized on each worker -- as each worker's optimizer can only work 2025-08-14T21:16:46.5246870Z on one set of gradients at a time. However, there is no guarantee that 2025-08-14T21:16:46.5247117Z the full forward-backward-optimizer sequence will execute for one client 2025-08-14T21:16:46.5247327Z at a time. This means that the gradients being applied may not correspond 2025-08-14T21:16:46.5247553Z to the latest forward pass executed on a given worker. Also, there is no 2025-08-14T21:16:46.5247662Z guaranteed ordering across workers. 2025-08-14T21:16:46.5247739Z 2025-08-14T21:16:46.5248000Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2025-08-14T21:16:46.5248218Z by default, so that optimizer updates are not blocked by the Python Global 2025-08-14T21:16:46.5248449Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2025-08-14T21:16:46.5248728Z Model Parallel). This feature is currently enabled for most optimizers. You 2025-08-14T21:16:46.5248971Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2025-08-14T21:16:46.5249078Z for your own custom optimizers. 2025-08-14T21:16:46.5249168Z 2025-08-14T21:16:46.5249248Z Args: 2025-08-14T21:16:46.5249458Z optimizer_class (optim.Optimizer): the class of optimizer to 2025-08-14T21:16:46.5249575Z instantiate on each worker. 2025-08-14T21:16:46.5249777Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2025-08-14T21:16:46.5249883Z to optimize. 2025-08-14T21:16:46.5250088Z args: arguments to pass to the optimizer constructor on each worker. 2025-08-14T21:16:46.5250299Z kwargs: arguments to pass to the optimizer constructor on each worker. 2025-08-14T21:16:46.5250393Z 2025-08-14T21:16:46.5250483Z Example:: 2025-08-14T21:16:46.5250596Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5250771Z >>> import torch.distributed.autograd as dist_autograd 2025-08-14T21:16:46.5250896Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5251012Z >>> from torch import optim 2025-08-14T21:16:46.5251196Z >>> from torch.distributed.optim import DistributedOptimizer 2025-08-14T21:16:46.5251309Z >>> 2025-08-14T21:16:46.5251487Z >>> with dist_autograd.context() as context_id: 2025-08-14T21:16:46.5251611Z >>> # Forward pass. 2025-08-14T21:16:46.5251804Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2025-08-14T21:16:46.5252008Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2025-08-14T21:16:46.5252133Z >>> loss = rref1.to_here() + rref2.to_here() 2025-08-14T21:16:46.5252230Z >>> 2025-08-14T21:16:46.5252327Z >>> # Backward pass. 2025-08-14T21:16:46.5252474Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2025-08-14T21:16:46.5252570Z >>> 2025-08-14T21:16:46.5252665Z >>> # Optimizer. 2025-08-14T21:16:46.5252787Z >>> dist_optim = DistributedOptimizer( 2025-08-14T21:16:46.5252894Z >>> optim.SGD, 2025-08-14T21:16:46.5252988Z >>> [rref1, rref2], 2025-08-14T21:16:46.5253076Z >>> lr=0.05, 2025-08-14T21:16:46.5253173Z >>> ) 2025-08-14T21:16:46.5253287Z >>> dist_optim.step(context_id) 2025-08-14T21:16:46.5253368Z 2025-08-14T21:16:46.5253531Z __ https://github.com/pytorch/tutorials/pull/1465 2025-08-14T21:16:46.5253607Z 2025-08-14T21:16:46.5253864Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5253940Z 2025-08-14T21:16:46.5254034Z warnings.warn(msg) 2025-08-14T21:16:46.5254123Z 2025-08-14T21:16:46.5254314Z --- Parse Warning: 83 / 146 --- 2025-08-14T21:16:46.5255330Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2025-08-14T21:16:46.5255596Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5255679Z 2025-08-14T21:16:46.5256062Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2025-08-14T21:16:46.5256230Z This optimizer runs local optimizer at every step. 2025-08-14T21:16:46.5256549Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied. 2025-08-14T21:16:46.5256640Z 2025-08-14T21:16:46.5256722Z Args: 2025-08-14T21:16:46.5256824Z optim: The local optimizer. 2025-08-14T21:16:46.5257042Z averager: A model averager instance to run post-localSGD algorithm. 2025-08-14T21:16:46.5257120Z 2025-08-14T21:16:46.5257206Z Example:: 2025-08-14T21:16:46.5257297Z 2025-08-14T21:16:46.5257455Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5257546Z >>> import torch 2025-08-14T21:16:46.5257672Z >>> import torch.distributed as dist 2025-08-14T21:16:46.5257937Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-08-14T21:16:46.5258052Z >>> import torch.nn as nn 2025-08-14T21:16:46.5258245Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2025-08-14T21:16:46.5258509Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-08-14T21:16:46.5258622Z >>> PostLocalSGDState, 2025-08-14T21:16:46.5258720Z >>> post_localSGD_hook, 2025-08-14T21:16:46.5258800Z >>> ) 2025-08-14T21:16:46.5258891Z >>> 2025-08-14T21:16:46.5259044Z >>> model = nn.parallel.DistributedDataParallel( 2025-08-14T21:16:46.5259182Z >>> module, device_ids=[rank], output_device=rank 2025-08-14T21:16:46.5259274Z >>> ) 2025-08-14T21:16:46.5259359Z >>> 2025-08-14T21:16:46.5259511Z >>> # Register a post-localSGD communication hook. 2025-08-14T21:16:46.5259793Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-08-14T21:16:46.5259950Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-08-14T21:16:46.5260099Z >>> 2025-08-14T21:16:46.5260296Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2025-08-14T21:16:46.5260566Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2025-08-14T21:16:46.5260739Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-08-14T21:16:46.5260940Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2025-08-14T21:16:46.5261070Z >>> opt = PostLocalSGDOptimizer( 2025-08-14T21:16:46.5261172Z >>> optim=local_optim, 2025-08-14T21:16:46.5261412Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-08-14T21:16:46.5261510Z >>> ) 2025-08-14T21:16:46.5261591Z >>> 2025-08-14T21:16:46.5261804Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2025-08-14T21:16:46.5262103Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2025-08-14T21:16:46.5262465Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2025-08-14T21:16:46.5262581Z >>> for step in range(0, 200): 2025-08-14T21:16:46.5262675Z >>> opt.zero_grad() 2025-08-14T21:16:46.5262785Z >>> loss = loss_fn(output, labels) 2025-08-14T21:16:46.5262891Z >>> loss.backward() 2025-08-14T21:16:46.5262980Z >>> opt.step() 2025-08-14T21:16:46.5263058Z 2025-08-14T21:16:46.5263313Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5263391Z 2025-08-14T21:16:46.5263486Z warnings.warn(msg) 2025-08-14T21:16:46.5263577Z 2025-08-14T21:16:46.5263767Z --- Parse Warning: 84 / 146 --- 2025-08-14T21:16:46.5264812Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284. 2025-08-14T21:16:46.5265081Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5265158Z 2025-08-14T21:16:46.5265561Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2025-08-14T21:16:46.5265639Z 2025-08-14T21:16:46.5265983Z The sharing is done as described by `ZeRO `_. 2025-08-14T21:16:46.5266080Z 2025-08-14T21:16:46.5266225Z The local optimizer instance in each rank is only 2025-08-14T21:16:46.5266503Z responsible for updating approximately ``1 / world_size`` parameters and 2025-08-14T21:16:46.5266712Z hence only needs to keep ``1 / world_size`` optimizer states. After 2025-08-14T21:16:46.5266945Z parameters are updated locally, each rank will broadcast its parameters to 2025-08-14T21:16:46.5267139Z all other peers to keep all model replicas in the same state. 2025-08-14T21:16:46.5267328Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2025-08-14T21:16:46.5267582Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2025-08-14T21:16:46.5267689Z memory consumption. 2025-08-14T21:16:46.5267765Z 2025-08-14T21:16:46.5268013Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2025-08-14T21:16:46.5268246Z of parameters at each rank. Each parameter belongs to a single rank and is 2025-08-14T21:16:46.5268474Z not divided among ranks. The partition is arbitrary and might not match the 2025-08-14T21:16:46.5268619Z the parameter registration or usage order. 2025-08-14T21:16:46.5268697Z 2025-08-14T21:16:46.5268782Z Arguments: 2025-08-14T21:16:46.5268979Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2025-08-14T21:16:46.5269158Z or :class:`dict` s giving all parameters, which will be sharded 2025-08-14T21:16:46.5269316Z across ranks. 2025-08-14T21:16:46.5269429Z 2025-08-14T21:16:46.5269514Z Keyword Args: 2025-08-14T21:16:46.5269727Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2025-08-14T21:16:46.5269825Z optimizer. 2025-08-14T21:16:46.5270024Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2025-08-14T21:16:46.5270224Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2025-08-14T21:16:46.5270368Z :meth:`torch.distributed.init_process_group`). 2025-08-14T21:16:46.5270587Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2025-08-14T21:16:46.5270803Z packed into buckets to speed up communication, and ``param.data`` 2025-08-14T21:16:46.5270995Z fields point to bucket views at different offsets; if ``False``, 2025-08-14T21:16:46.5271191Z each individual parameter is communicated separately, and each 2025-08-14T21:16:46.5271357Z ``params.data`` stays intact (default: ``False``). 2025-08-14T21:16:46.5271548Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2025-08-14T21:16:46.5271757Z overlapped with :class:`DistributedDataParallel` 's gradient 2025-08-14T21:16:46.5271962Z synchronization; this requires (1) either a functional optimizer 2025-08-14T21:16:46.5272137Z for the ``optimizer_class`` argument or one with a functional 2025-08-14T21:16:46.5272319Z equivalent and (2) registering a DDP communication hook 2025-08-14T21:16:46.5272512Z constructed from one of the functions in ``ddp_zero_hook.py``; 2025-08-14T21:16:46.5272672Z parameters are packed into buckets matching those in 2025-08-14T21:16:46.5272836Z :class:`DistributedDataParallel`, meaning that the 2025-08-14T21:16:46.5272979Z ``parameters_as_bucket_view`` argument is ignored. 2025-08-14T21:16:46.5273175Z If ``False``, :meth:`step` runs disjointly after the backward pass 2025-08-14T21:16:46.5273269Z (per normal). 2025-08-14T21:16:46.5273365Z (default: ``False``) 2025-08-14T21:16:46.5273577Z **defaults: any trailing arguments, which are forwarded to the local 2025-08-14T21:16:46.5273665Z optimizer. 2025-08-14T21:16:46.5273742Z 2025-08-14T21:16:46.5273843Z Example:: 2025-08-14T21:16:46.5273920Z 2025-08-14T21:16:46.5274015Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5274125Z >>> import torch.nn as nn 2025-08-14T21:16:46.5274322Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2025-08-14T21:16:46.5274559Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-08-14T21:16:46.5274778Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2025-08-14T21:16:46.5274892Z >>> ddp = DDP(model, device_ids=[rank]) 2025-08-14T21:16:46.5275024Z >>> opt = ZeroRedundancyOptimizer( 2025-08-14T21:16:46.5275126Z >>> ddp.parameters(), 2025-08-14T21:16:46.5275248Z >>> optimizer_class=torch.optim.Adam, 2025-08-14T21:16:46.5275345Z >>> lr=0.01 2025-08-14T21:16:46.5275424Z >>> ) 2025-08-14T21:16:46.5275527Z >>> ddp(inputs).sum().backward() 2025-08-14T21:16:46.5275626Z >>> opt.step() 2025-08-14T21:16:46.5275702Z 2025-08-14T21:16:46.5275804Z .. warning:: 2025-08-14T21:16:46.5276203Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2025-08-14T21:16:46.5276349Z passed-in parameters are the same dense type. 2025-08-14T21:16:46.5276445Z 2025-08-14T21:16:46.5276531Z .. warning:: 2025-08-14T21:16:46.5276735Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2025-08-14T21:16:46.5276946Z the way that overlapping :class:`DistributedDataParallel` with 2025-08-14T21:16:46.5277168Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2025-08-14T21:16:46.5277501Z two or three training iterations do not perform parameter updates in 2025-08-14T21:16:46.5277732Z the optimizer step, depending on if ``static_graph=False`` or 2025-08-14T21:16:46.5277910Z ``static_graph=True``, respectively. This is because it needs 2025-08-14T21:16:46.5278101Z information about the gradient bucketing strategy used by 2025-08-14T21:16:46.5278312Z :class:`DistributedDataParallel`, which is not finalized until the 2025-08-14T21:16:46.5278502Z second forward pass if ``static_graph=False`` or until the third 2025-08-14T21:16:46.5278716Z forward pass if ``static_graph=True``. To adjust for this, one option 2025-08-14T21:16:46.5278821Z is to prepend dummy inputs. 2025-08-14T21:16:46.5278899Z 2025-08-14T21:16:46.5279155Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2025-08-14T21:16:46.5279233Z 2025-08-14T21:16:46.5279489Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5279566Z 2025-08-14T21:16:46.5279663Z warnings.warn(msg) 2025-08-14T21:16:46.5279753Z 2025-08-14T21:16:46.5279973Z --- Parse Warning: 85 / 146 --- 2025-08-14T21:16:46.5280918Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=29. 2025-08-14T21:16:46.5281185Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5281265Z 2025-08-14T21:16:46.5281503Z Custom reducer class that can be used to specify a custom operation that 2025-08-14T21:16:46.5281671Z reduces losses of multiple microbatches into one value. 2025-08-14T21:16:46.5281748Z 2025-08-14T21:16:46.5281844Z Example: 2025-08-14T21:16:46.5281940Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5282052Z >>> sum_reducer = _CustomReducer( 2025-08-14T21:16:46.5282165Z >>> torch.tensor(0.0), 2025-08-14T21:16:46.5282262Z >>> lambda a, b: a + b 2025-08-14T21:16:46.5282342Z >>> ) 2025-08-14T21:16:46.5282438Z 2025-08-14T21:16:46.5282680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5282763Z 2025-08-14T21:16:46.5282872Z warnings.warn(msg) 2025-08-14T21:16:46.5282950Z 2025-08-14T21:16:46.5283133Z --- Parse Warning: 86 / 146 --- 2025-08-14T21:16:46.5284068Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6. 2025-08-14T21:16:46.5284318Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5284411Z 2025-08-14T21:16:46.5284645Z A decorator for a function indicating that the return value of the function 2025-08-14T21:16:46.5284850Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2025-08-14T21:16:46.5285100Z function can run asynchronously on the RPC callee. More specifically, the 2025-08-14T21:16:46.5285329Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2025-08-14T21:16:46.5285567Z function and installs subsequent processing steps as a callback to that 2025-08-14T21:16:46.5285792Z :class:`~torch.futures.Future`. The installed callback will read the value 2025-08-14T21:16:46.5285989Z from the :class:`~torch.futures.Future` when completed and send the 2025-08-14T21:16:46.5286182Z value back as the RPC response. That also means the returned 2025-08-14T21:16:46.5286404Z :class:`~torch.futures.Future` only exists on the callee side and is never 2025-08-14T21:16:46.5286616Z sent through RPC. This decorator is useful when the wrapped function's 2025-08-14T21:16:46.5286869Z (``fn``) execution needs to pause and resume due to, e.g., containing 2025-08-14T21:16:46.5287088Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2025-08-14T21:16:46.5287204Z 2025-08-14T21:16:46.5287410Z .. note:: To enable asynchronous execution, applications must pass the 2025-08-14T21:16:46.5287632Z function object returned by this decorator to RPC APIs. If RPC detected 2025-08-14T21:16:46.5287853Z attributes installed by this decorator, it knows that this function 2025-08-14T21:16:46.5288030Z returns a ``Future`` object and will handle that accordingly. 2025-08-14T21:16:46.5288236Z However, this does not mean this decorator has to be outmost one when 2025-08-14T21:16:46.5288466Z defining a function. For example, when combined with ``@staticmethod`` 2025-08-14T21:16:46.5288666Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2025-08-14T21:16:46.5288891Z inner decorator to allow the target function be recognized as a static 2025-08-14T21:16:46.5289115Z or class function. This target function can still execute asynchronously 2025-08-14T21:16:46.5289330Z because, when accessed, the static or class method preserves attributes 2025-08-14T21:16:46.5289491Z installed by ``@rpc.functions.async_execution``. 2025-08-14T21:16:46.5289569Z 2025-08-14T21:16:46.5289645Z 2025-08-14T21:16:46.5289741Z Example:: 2025-08-14T21:16:46.5289934Z The returned :class:`~torch.futures.Future` object can come from 2025-08-14T21:16:46.5290078Z :meth:`~torch.distributed.rpc.rpc_async`, 2025-08-14T21:16:46.5290296Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2025-08-14T21:16:46.5290466Z constructor. The example below shows directly using the 2025-08-14T21:16:46.5290604Z :class:`~torch.futures.Future` returned by 2025-08-14T21:16:46.5290721Z :meth:`~torch.futures.Future.then`. 2025-08-14T21:16:46.5290802Z 2025-08-14T21:16:46.5290934Z >>> from torch.distributed import rpc 2025-08-14T21:16:46.5291014Z >>> 2025-08-14T21:16:46.5291126Z >>> # omitting setup and shutdown RPC 2025-08-14T21:16:46.5291217Z >>> 2025-08-14T21:16:46.5291308Z >>> # On all workers 2025-08-14T21:16:46.5291431Z >>> @rpc.functions.async_execution 2025-08-14T21:16:46.5291543Z >>> def async_add_chained(to, x, y, z): 2025-08-14T21:16:46.5291729Z >>> # This function runs on "worker1" and returns immediately when 2025-08-14T21:16:46.5291922Z >>> # the callback is installed through the `then(cb)` API. In the 2025-08-14T21:16:46.5292126Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2025-08-14T21:16:46.5292281Z >>> # When the return value of that `rpc_async` arrives at 2025-08-14T21:16:46.5292471Z >>> # "worker1", "worker1" will run the lambda function accordingly 2025-08-14T21:16:46.5292652Z >>> # and set the value for the previously returned `Future`, which 2025-08-14T21:16:46.5292843Z >>> # will then trigger RPC to send the result back to "worker0". 2025-08-14T21:16:46.5293007Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:46.5293116Z >>> lambda fut: fut.wait() + z 2025-08-14T21:16:46.5293211Z >>> ) 2025-08-14T21:16:46.5293292Z >>> 2025-08-14T21:16:46.5293379Z >>> # On worker0 2025-08-14T21:16:46.5293490Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5293586Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:46.5293676Z >>> "worker1", 2025-08-14T21:16:46.5293788Z >>> async_add_chained, 2025-08-14T21:16:46.5293909Z >>> args=("worker2", torch.ones(2), 1, 1) 2025-08-14T21:16:46.5293990Z >>> ) 2025-08-14T21:16:46.5294119Z >>> print(ret) # prints tensor([3., 3.]) 2025-08-14T21:16:46.5294198Z 2025-08-14T21:16:46.5294455Z When combined with TorchScript decorators, this decorator must be the 2025-08-14T21:16:46.5294565Z outmost one. 2025-08-14T21:16:46.5294673Z 2025-08-14T21:16:46.5294785Z >>> from torch import Tensor 2025-08-14T21:16:46.5294900Z >>> from torch.futures import Future 2025-08-14T21:16:46.5295016Z >>> from torch.distributed import rpc 2025-08-14T21:16:46.5295110Z >>> 2025-08-14T21:16:46.5295221Z >>> # omitting setup and shutdown RPC 2025-08-14T21:16:46.5295300Z >>> 2025-08-14T21:16:46.5295403Z >>> # On all workers 2025-08-14T21:16:46.5295499Z >>> @torch.jit.script 2025-08-14T21:16:46.5295641Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2025-08-14T21:16:46.5295744Z >>> return x + y 2025-08-14T21:16:46.5295822Z >>> 2025-08-14T21:16:46.5295948Z >>> @rpc.functions.async_execution 2025-08-14T21:16:46.5296044Z >>> @torch.jit.script 2025-08-14T21:16:46.5296226Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2025-08-14T21:16:46.5296380Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2025-08-14T21:16:46.5296462Z >>> 2025-08-14T21:16:46.5296549Z >>> # On worker0 2025-08-14T21:16:46.5296658Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:46.5296747Z >>> "worker1", 2025-08-14T21:16:46.5296833Z >>> async_add, 2025-08-14T21:16:46.5296960Z >>> args=("worker2", torch.ones(2), 1) 2025-08-14T21:16:46.5297040Z >>> ) 2025-08-14T21:16:46.5297165Z >>> print(ret) # prints tensor([2., 2.]) 2025-08-14T21:16:46.5297242Z 2025-08-14T21:16:46.5297454Z When combined with static or class method, this decorator must be the 2025-08-14T21:16:46.5297551Z inner one. 2025-08-14T21:16:46.5297627Z 2025-08-14T21:16:46.5297743Z >>> from torch.distributed import rpc 2025-08-14T21:16:46.5297836Z >>> 2025-08-14T21:16:46.5297948Z >>> # omitting setup and shutdown RPC 2025-08-14T21:16:46.5298030Z >>> 2025-08-14T21:16:46.5298135Z >>> # On all workers 2025-08-14T21:16:46.5298246Z >>> class AsyncExecutionClass: 2025-08-14T21:16:46.5298327Z >>> 2025-08-14T21:16:46.5298429Z >>> @staticmethod 2025-08-14T21:16:46.5298544Z >>> @rpc.functions.async_execution 2025-08-14T21:16:46.5298657Z >>> def static_async_add(to, x, y, z): 2025-08-14T21:16:46.5298833Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:46.5298943Z >>> lambda fut: fut.wait() + z 2025-08-14T21:16:46.5299039Z >>> ) 2025-08-14T21:16:46.5299117Z >>> 2025-08-14T21:16:46.5299238Z >>> @classmethod 2025-08-14T21:16:46.5299367Z >>> @rpc.functions.async_execution 2025-08-14T21:16:46.5299486Z >>> def class_async_add(cls, to, x, y, z): 2025-08-14T21:16:46.5299608Z >>> ret_fut = torch.futures.Future() 2025-08-14T21:16:46.5299763Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:46.5299912Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2025-08-14T21:16:46.5300010Z >>> ) 2025-08-14T21:16:46.5300103Z >>> return ret_fut 2025-08-14T21:16:46.5300182Z >>> 2025-08-14T21:16:46.5300307Z >>> @rpc.functions.async_execution 2025-08-14T21:16:46.5300427Z >>> def bound_async_add(self, to, x, y, z): 2025-08-14T21:16:46.5300587Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-08-14T21:16:46.5300709Z >>> lambda fut: fut.wait() + z 2025-08-14T21:16:46.5300791Z >>> ) 2025-08-14T21:16:46.5300872Z >>> 2025-08-14T21:16:46.5300969Z >>> # On worker0 2025-08-14T21:16:46.5301064Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:46.5301151Z >>> "worker1", 2025-08-14T21:16:46.5301294Z >>> AsyncExecutionClass.static_async_add, 2025-08-14T21:16:46.5301477Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-14T21:16:46.5301569Z >>> ) 2025-08-14T21:16:46.5301714Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:46.5301793Z >>> 2025-08-14T21:16:46.5301898Z >>> ret = rpc.rpc_sync( 2025-08-14T21:16:46.5301985Z >>> "worker1", 2025-08-14T21:16:46.5302115Z >>> AsyncExecutionClass.class_async_add, 2025-08-14T21:16:46.5302241Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-08-14T21:16:46.5302320Z >>> ) 2025-08-14T21:16:46.5302433Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:46.5302524Z 2025-08-14T21:16:46.5302681Z This decorator also works with RRef helpers, i.e., . 2025-08-14T21:16:46.5302823Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2025-08-14T21:16:46.5302986Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2025-08-14T21:16:46.5303123Z :meth:`torch.distributed.rpc.RRef.remote`. 2025-08-14T21:16:46.5303215Z 2025-08-14T21:16:46.5303333Z >>> from torch.distributed import rpc 2025-08-14T21:16:46.5303415Z >>> 2025-08-14T21:16:46.5303565Z >>> # reuse the AsyncExecutionClass class above 2025-08-14T21:16:46.5303715Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-14T21:16:46.5303916Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2025-08-14T21:16:46.5304045Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:46.5304127Z >>> 2025-08-14T21:16:46.5304275Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-14T21:16:46.5304517Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2025-08-14T21:16:46.5304631Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:46.5304724Z >>> 2025-08-14T21:16:46.5304869Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-08-14T21:16:46.5305094Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2025-08-14T21:16:46.5305224Z >>> print(ret) # prints tensor([4., 4.]) 2025-08-14T21:16:46.5305303Z 2025-08-14T21:16:46.5305546Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5305637Z 2025-08-14T21:16:46.5305824Z warnings.warn(msg) 2025-08-14T21:16:46.5305919Z 2025-08-14T21:16:46.5306143Z --- Parse Warning: 87 / 146 --- 2025-08-14T21:16:46.5307199Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=113. 2025-08-14T21:16:46.5307466Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5307544Z 2025-08-14T21:16:46.5307738Z Set device mapping between each RPC caller and callee pair. This 2025-08-14T21:16:46.5307931Z function can be called multiple times to incrementally add 2025-08-14T21:16:46.5308042Z device placement configurations. 2025-08-14T21:16:46.5308134Z 2025-08-14T21:16:46.5308215Z Args: 2025-08-14T21:16:46.5308312Z to (str): Callee name. 2025-08-14T21:16:46.5308528Z device_map (Dict of int, str, or torch.device): Device placement 2025-08-14T21:16:46.5308703Z mappings from this worker to the callee. This map must be 2025-08-14T21:16:46.5308792Z invertible. 2025-08-14T21:16:46.5308883Z 2025-08-14T21:16:46.5308969Z Example: 2025-08-14T21:16:46.5309082Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5309192Z >>> # both workers 2025-08-14T21:16:46.5309284Z >>> def add(x, y): 2025-08-14T21:16:46.5309418Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2025-08-14T21:16:46.5309535Z >>> return x + y, (x + y).to(2) 2025-08-14T21:16:46.5309617Z >>> 2025-08-14T21:16:46.5309751Z >>> # on worker 0 2025-08-14T21:16:46.5309913Z >>> options = TensorPipeRpcBackendOptions( 2025-08-14T21:16:46.5310041Z >>> num_worker_threads=8, 2025-08-14T21:16:46.5310164Z >>> device_maps={"worker1": {0: 1}} 2025-08-14T21:16:46.5310292Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2025-08-14T21:16:46.5310373Z >>> ) 2025-08-14T21:16:46.5310514Z >>> options.set_device_map("worker1", {1: 2}) 2025-08-14T21:16:46.5310640Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2025-08-14T21:16:46.5310722Z >>> 2025-08-14T21:16:46.5310833Z >>> rpc.init_rpc( 2025-08-14T21:16:46.5310920Z >>> "worker0", 2025-08-14T21:16:46.5311009Z >>> rank=0, 2025-08-14T21:16:46.5311119Z >>> world_size=2, 2025-08-14T21:16:46.5311247Z >>> backend=rpc.BackendType.TENSORPIPE, 2025-08-14T21:16:46.5311371Z >>> rpc_backend_options=options 2025-08-14T21:16:46.5311453Z >>> ) 2025-08-14T21:16:46.5311534Z >>> 2025-08-14T21:16:46.5311645Z >>> x = torch.ones(2) 2025-08-14T21:16:46.5311801Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2025-08-14T21:16:46.5311984Z >>> # The first argument will be moved to cuda:1 on worker1. When 2025-08-14T21:16:46.5312176Z >>> # sending the return value back, it will follow the invert of 2025-08-14T21:16:46.5312342Z >>> # the device map, and hence will be moved back to cuda:0 and 2025-08-14T21:16:46.5312435Z >>> # cuda:1 on worker0 2025-08-14T21:16:46.5312593Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2025-08-14T21:16:46.5312736Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2025-08-14T21:16:46.5312828Z 2025-08-14T21:16:46.5313071Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5313149Z 2025-08-14T21:16:46.5313256Z warnings.warn(msg) 2025-08-14T21:16:46.5313334Z 2025-08-14T21:16:46.5313529Z --- Parse Warning: 88 / 146 --- 2025-08-14T21:16:46.5314589Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19. 2025-08-14T21:16:46.5314841Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5314932Z 2025-08-14T21:16:46.5315125Z It has the same API as ``torch.autograd.profiler.profile`` class, 2025-08-14T21:16:46.5315419Z except that it enables profiling on all threads running RPC server request callbacks. 2025-08-14T21:16:46.5315510Z 2025-08-14T21:16:46.5315776Z Context manager that manages autograd profiler state and holds a summary of results. 2025-08-14T21:16:46.5315995Z Under the hood it just records events of functions being executed in C++ and 2025-08-14T21:16:46.5316231Z exposes those events to Python. You can wrap any code into it and it will 2025-08-14T21:16:46.5316355Z only report runtime of PyTorch functions. 2025-08-14T21:16:46.5316625Z Note: profiler is thread local and is automatically propagated into the async tasks 2025-08-14T21:16:46.5316702Z 2025-08-14T21:16:46.5316783Z Args: 2025-08-14T21:16:46.5317048Z enabled (bool, optional): Setting this to False makes this context manager a no-op. 2025-08-14T21:16:46.5317143Z Default: ``True``. 2025-08-14T21:16:46.5317222Z 2025-08-14T21:16:46.5317507Z use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API. 2025-08-14T21:16:46.5317699Z Adds approximately 4us of overhead to each tensor operation. 2025-08-14T21:16:46.5317793Z Default: ``False`` 2025-08-14T21:16:46.5317881Z 2025-08-14T21:16:46.5318095Z record_shapes (bool, optional): If shapes recording is set, information 2025-08-14T21:16:46.5318355Z about input dimensions will be collected. This allows one to see which 2025-08-14T21:16:46.5318582Z dimensions have been used under the hood and further group by them 2025-08-14T21:16:46.5318816Z using prof.key_averages(group_by_input_shape=True). Please note that 2025-08-14T21:16:46.5319046Z shape recording might skew your profiling data. It is recommended to 2025-08-14T21:16:46.5319271Z use separate runs with and without shape recording to validate the timing. 2025-08-14T21:16:46.5319486Z Most likely the skew will be negligible for bottom most events (in a case 2025-08-14T21:16:46.5319704Z of nested function calls). But for higher level functions the total 2025-08-14T21:16:46.5319899Z self cpu time might be artificially increased because of the shape 2025-08-14T21:16:46.5320002Z collection. 2025-08-14T21:16:46.5320082Z 2025-08-14T21:16:46.5325868Z profile_memory (bool, optional): Whether to report memory usage, default: ``False`` 2025-08-14T21:16:46.5326014Z 2025-08-14T21:16:46.5326127Z .. warning:: 2025-08-14T21:16:46.5326343Z Enabling memory profiling incurs additional profiler overhead 2025-08-14T21:16:46.5326422Z 2025-08-14T21:16:46.5326517Z .. warning:: 2025-08-14T21:16:46.5326798Z Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`), 2025-08-14T21:16:46.5326998Z one cannot use the profiler with ``use_cuda = True`` to benchmark 2025-08-14T21:16:46.5327223Z DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading, 2025-08-14T21:16:46.5327383Z please use ``use_cuda = False`` or ``num_workers = 0``. 2025-08-14T21:16:46.5327468Z 2025-08-14T21:16:46.5327547Z Example: 2025-08-14T21:16:46.5327643Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5327743Z >>> # On worker 0: 2025-08-14T21:16:46.5327830Z >>> import torch 2025-08-14T21:16:46.5327953Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5328103Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-08-14T21:16:46.5328226Z >>> x, y = torch.tensor(1), torch.tensor(2) 2025-08-14T21:16:46.5328346Z >>> outer_profile_rref = rpc.remote( 2025-08-14T21:16:46.5328501Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-14T21:16:46.5328580Z ... ) 2025-08-14T21:16:46.5328716Z >>> outer_profile_rref.rpc_sync().__enter__() 2025-08-14T21:16:46.5328857Z >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y)) 2025-08-14T21:16:46.5328967Z >>> inner_profile_rref = rpc.remote( 2025-08-14T21:16:46.5329221Z ... dst_worker_name, rpc._server_process_global_profile 2025-08-14T21:16:46.5329298Z ... ) 2025-08-14T21:16:46.5329424Z >>> inner_profile_rref.rpc_sync().__enter__() 2025-08-14T21:16:46.5329575Z >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y)) 2025-08-14T21:16:46.5329742Z >>> inner_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-14T21:16:46.5329927Z >>> outer_profile_rref.rpc_sync().__exit__(None, None, None) 2025-08-14T21:16:46.5330081Z >>> print(inner_profile_rref.rpc_sync().key_averages()) 2025-08-14T21:16:46.5330315Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:46.5330621Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-14T21:16:46.5330842Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:46.5331040Z sub 85.06% 76.275us 100.00% 89.667us 89.667us 1 2025-08-14T21:16:46.5331217Z empty 14.94% 13.392us 14.94% 13.392us 13.392us 1 2025-08-14T21:16:46.5331465Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:46.5331611Z Self CPU time total: 89.667us 2025-08-14T21:16:46.5331798Z >>> print(outer_profile_rref.rpc_sync().key_averages()) 2025-08-14T21:16:46.5332011Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:46.5332314Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-08-14T21:16:46.5332530Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:46.5332714Z sub 35.65% 76.275us 41.91% 89.667us 89.667us 1 2025-08-14T21:16:46.5332890Z empty 12.67% 27.101us 12.67% 27.101us 13.551us 2 2025-08-14T21:16:46.5333063Z add 51.68% 110.550us 58.09% 124.259us 124.259us 1 2025-08-14T21:16:46.5333294Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-08-14T21:16:46.5333402Z Self CPU time total: 213.926us 2025-08-14T21:16:46.5333505Z >>> rpc.shutdown() 2025-08-14T21:16:46.5333580Z 2025-08-14T21:16:46.5333664Z >>> # On worker 1: 2025-08-14T21:16:46.5333800Z >>> import torch.distributed.rpc as rpc 2025-08-14T21:16:46.5333931Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-08-14T21:16:46.5334081Z >>> # wait for worker 0 to finish work, and then shutdown. 2025-08-14T21:16:46.5334189Z >>> rpc.shutdown() 2025-08-14T21:16:46.5334263Z 2025-08-14T21:16:46.5334507Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5334595Z 2025-08-14T21:16:46.5334686Z warnings.warn(msg) 2025-08-14T21:16:46.5334774Z 2025-08-14T21:16:46.5335024Z --- Parse Warning: 89 / 146 --- 2025-08-14T21:16:46.5335982Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35. 2025-08-14T21:16:46.5336247Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5336324Z 2025-08-14T21:16:46.5336577Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2025-08-14T21:16:46.5336901Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2025-08-14T21:16:46.5337154Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2025-08-14T21:16:46.5337317Z :class:`DTensor` according to the ``out_placements``. 2025-08-14T21:16:46.5337395Z 2025-08-14T21:16:46.5337469Z Args: 2025-08-14T21:16:46.5337683Z func (Callable): the function to be applied on each local shard of 2025-08-14T21:16:46.5337776Z :class:`DTensor` s. 2025-08-14T21:16:46.5337993Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2025-08-14T21:16:46.5338248Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2025-08-14T21:16:46.5338474Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2025-08-14T21:16:46.5338717Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2025-08-14T21:16:46.5338953Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2025-08-14T21:16:46.5339067Z mapping to the flattened ``output``. 2025-08-14T21:16:46.5339272Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2025-08-14T21:16:46.5339533Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2025-08-14T21:16:46.5339677Z should be `None`. 2025-08-14T21:16:46.5339914Z Note that the only exception is when no :class:`DTensor` argument is passed 2025-08-14T21:16:46.5340149Z in. In this case, even if `out_placements` is not `None`, the result function 2025-08-14T21:16:46.5340401Z should ignore the desired placements because the function is not running with 2025-08-14T21:16:46.5340499Z :class:`DTensor` s. 2025-08-14T21:16:46.5340653Z in_placements (Tuple[`PlacementType`, ...], optional): 2025-08-14T21:16:46.5340933Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2025-08-14T21:16:46.5341155Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2025-08-14T21:16:46.5341370Z placements of each :class:`DTensor` argument is the same as the required 2025-08-14T21:16:46.5341552Z placements or not. If the placements are not the same and 2025-08-14T21:16:46.5341791Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2025-08-14T21:16:46.5342036Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2025-08-14T21:16:46.5342280Z the required sharding placements before passing its local tensor to ``func``. 2025-08-14T21:16:46.5342488Z The only exception is when required placements are not ``None`` and the 2025-08-14T21:16:46.5342729Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2025-08-14T21:16:46.5342939Z will be skipped and the argument will be directly passed to ``func``. 2025-08-14T21:16:46.5343160Z If ``in_placements`` is ``None``, no placements examination will be performed. 2025-08-14T21:16:46.5343251Z Default: None 2025-08-14T21:16:46.5343425Z in_grad_placements (Tuple[`PlacementType`, ...], optional): 2025-08-14T21:16:46.5343635Z the placements hint of the :class:`DTensor` s gradient corresponds 2025-08-14T21:16:46.5343840Z to the flattened input DTensor. This argument is the hint that user 2025-08-14T21:16:46.5344012Z can give to :meth:`to_local` in case the gradient layout of the 2025-08-14T21:16:46.5344227Z local tensor input does not match its :class:`DTensor` input layout. 2025-08-14T21:16:46.5344415Z If not specified, we will assume the gradient layout of the local 2025-08-14T21:16:46.5344627Z tensor input remains the same as the original :class:`DTensor` input 2025-08-14T21:16:46.5344812Z and use that for gradient computation. Default: None. 2025-08-14T21:16:46.5344944Z device_mesh (:class:`DeviceMesh`, optional): 2025-08-14T21:16:46.5345163Z the device mesh that the output :class:`DTensor` s are placed on. If not 2025-08-14T21:16:46.5345401Z specified, this will be inferred from the first input :class:`DTensor`'s device 2025-08-14T21:16:46.5345499Z mesh. Default: None. 2025-08-14T21:16:46.5345587Z 2025-08-14T21:16:46.5345793Z Keyword Args: 2025-08-14T21:16:46.5345917Z redistribute_inputs (bool, optional): 2025-08-14T21:16:46.5346171Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2025-08-14T21:16:46.5346407Z their placements are different from the required input placements. If this 2025-08-14T21:16:46.5346631Z value is ``False`` and some :class:`DTensor` input has a different placement, 2025-08-14T21:16:46.5346765Z an exception will be raised. Default: False. 2025-08-14T21:16:46.5346842Z 2025-08-14T21:16:46.5346939Z Returns: 2025-08-14T21:16:46.5347183Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2025-08-14T21:16:46.5347409Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2025-08-14T21:16:46.5347495Z 2025-08-14T21:16:46.5347613Z Raises: 2025-08-14T21:16:46.5347878Z AssertionError: For any non-DTensor output, we require its corresponding 2025-08-14T21:16:46.5348147Z output placement in ``out_placements`` be None. An AssertionError will be raised 2025-08-14T21:16:46.5348245Z if this is not the case. 2025-08-14T21:16:46.5348329Z 2025-08-14T21:16:46.5348580Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2025-08-14T21:16:46.5348724Z a redistribution according to ``in_placements``. 2025-08-14T21:16:46.5348806Z 2025-08-14T21:16:46.5348889Z Example: 2025-08-14T21:16:46.5348999Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5349141Z >>> def mm_allreduce_forward(device_mesh, W, X): 2025-08-14T21:16:46.5349256Z >>> partial_sum_tensor = torch.mm(W, X) 2025-08-14T21:16:46.5349494Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2025-08-14T21:16:46.5349596Z >>> return reduced_tensor 2025-08-14T21:16:46.5349673Z >>> 2025-08-14T21:16:46.5349805Z >>> W = torch.randn(12, 8, requires_grad=False) 2025-08-14T21:16:46.5349926Z >>> X = torch.randn(8, 16, requires_grad=False) 2025-08-14T21:16:46.5350015Z >>> Y = torch.mm(W, X) 2025-08-14T21:16:46.5350206Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2025-08-14T21:16:46.5350381Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2025-08-14T21:16:46.5350456Z >>> 2025-08-14T21:16:46.5350726Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion 2025-08-14T21:16:46.5350847Z >>> local_mm_allreduce_forward = local_map( 2025-08-14T21:16:46.5350959Z >>> mm_allreduce_forward, 2025-08-14T21:16:46.5351070Z >>> out_placements=[Replicate()], 2025-08-14T21:16:46.5351186Z >>> in_placements=[col_wise, row_wise], 2025-08-14T21:16:46.5351304Z >>> device_mesh=device_mesh, 2025-08-14T21:16:46.5351383Z >>> ) 2025-08-14T21:16:46.5351457Z >>> 2025-08-14T21:16:46.5351568Z >>> W_dt = distribute_tensor( 2025-08-14T21:16:46.5351669Z ... W, device_mesh, (col_wise) 2025-08-14T21:16:46.5351772Z ... ) # col-wisely sharded W tensor 2025-08-14T21:16:46.5351880Z >>> X_dt = distribute_tensor( 2025-08-14T21:16:46.5351979Z ... X, device_mesh, (row_wise) 2025-08-14T21:16:46.5352091Z ... ) # row-wisely sharded X tensor 2025-08-14T21:16:46.5352198Z >>> Y_dt = local_mm_allreduce_forward( 2025-08-14T21:16:46.5352322Z ... device_mesh, W_dt, X_dt 2025-08-14T21:16:46.5352473Z ... ) # apply local_mm_allreduce_forward to DTensors 2025-08-14T21:16:46.5352550Z 2025-08-14T21:16:46.5352735Z .. note:: This API is currently experimental and subject to change 2025-08-14T21:16:46.5352820Z 2025-08-14T21:16:46.5353064Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5353141Z 2025-08-14T21:16:46.5353245Z warnings.warn(msg) 2025-08-14T21:16:46.5353320Z 2025-08-14T21:16:46.5353548Z --- Parse Warning: 90 / 146 --- 2025-08-14T21:16:46.5354576Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25. 2025-08-14T21:16:46.5354827Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5354911Z 2025-08-14T21:16:46.5355176Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2025-08-14T21:16:46.5355398Z strategies for an operator when the tensor inputs and outputs are DTensor. 2025-08-14T21:16:46.5355647Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2025-08-14T21:16:46.5355964Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2025-08-14T21:16:46.5356255Z when users would like to overwrite default sharding strategies of existing operators. 2025-08-14T21:16:46.5356331Z 2025-08-14T21:16:46.5356406Z Args: 2025-08-14T21:16:46.5356540Z op (Union[OpOverload, List[OpOverload]]): 2025-08-14T21:16:46.5356723Z An op or a list of ops to register the customized sharding function. 2025-08-14T21:16:46.5356794Z 2025-08-14T21:16:46.5356882Z Returns: 2025-08-14T21:16:46.5357135Z A function decorator which can be used to wrap a function that defines the sharding 2025-08-14T21:16:46.5357401Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2025-08-14T21:16:46.5357659Z registered to DTensor and will override the default sharding strategy if DTensor has 2025-08-14T21:16:46.5357944Z already implemented the operator. The customized sharding function takes the same inputs 2025-08-14T21:16:46.5358181Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2025-08-14T21:16:46.5358441Z replaced by a tensor-like object that DTensor uses internally). The function should 2025-08-14T21:16:46.5358694Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2025-08-14T21:16:46.5358813Z corresponding input placements. 2025-08-14T21:16:46.5358889Z 2025-08-14T21:16:46.5358979Z Example: 2025-08-14T21:16:46.5359092Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5359225Z >>> @register_sharding(aten._softmax.default) 2025-08-14T21:16:46.5359382Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2025-08-14T21:16:46.5359518Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2025-08-14T21:16:46.5359624Z >>> acceptable_shardings = [] 2025-08-14T21:16:46.5359714Z >>> 2025-08-14T21:16:46.5359888Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2025-08-14T21:16:46.5360029Z >>> acceptable_shardings.append(all_replicate) 2025-08-14T21:16:46.5360117Z >>> 2025-08-14T21:16:46.5360232Z >>> for sharding_dim in range(x.ndim): 2025-08-14T21:16:46.5360347Z >>> if sharding_dim != softmax_dim: 2025-08-14T21:16:46.5360443Z >>> all_sharded = ( 2025-08-14T21:16:46.5360549Z >>> [Shard(sharding_dim)], 2025-08-14T21:16:46.5360676Z >>> [Shard(sharding_dim), None, None], 2025-08-14T21:16:46.5360763Z >>> ) 2025-08-14T21:16:46.5360920Z >>> acceptable_shardings.append(all_sharded) 2025-08-14T21:16:46.5361009Z >>> 2025-08-14T21:16:46.5361117Z >>> return acceptable_shardings 2025-08-14T21:16:46.5361189Z 2025-08-14T21:16:46.5361391Z .. note:: This API is currently experimental and subject to change 2025-08-14T21:16:46.5361471Z 2025-08-14T21:16:46.5361724Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5361805Z 2025-08-14T21:16:46.5361895Z warnings.warn(msg) 2025-08-14T21:16:46.5361981Z 2025-08-14T21:16:46.5362176Z --- Parse Warning: 91 / 146 --- 2025-08-14T21:16:46.5363133Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=428. 2025-08-14T21:16:46.5363398Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5363475Z 2025-08-14T21:16:46.5363851Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2025-08-14T21:16:46.5364156Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2025-08-14T21:16:46.5364283Z 2025-08-14T21:16:46.5364379Z Keyword Args: 2025-08-14T21:16:46.5364615Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:46.5364924Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-14T21:16:46.5365281Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-14T21:16:46.5365391Z as a placeholder. default: None. 2025-08-14T21:16:46.5365620Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:46.5365981Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:46.5366354Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-14T21:16:46.5366496Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-14T21:16:46.5366854Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-14T21:16:46.5366943Z default: None 2025-08-14T21:16:46.5367110Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-14T21:16:46.5367458Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:46.5367609Z have the desired DTensor layouts. default: None. 2025-08-14T21:16:46.5367717Z use_local_output (bool, optional): 2025-08-14T21:16:46.5368059Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-14T21:16:46.5368150Z Returns: 2025-08-14T21:16:46.5368449Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2025-08-14T21:16:46.5368525Z 2025-08-14T21:16:46.5368623Z Example:: 2025-08-14T21:16:46.5368729Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:46.5369040Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2025-08-14T21:16:46.5369227Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-14T21:16:46.5369306Z >>> ... 2025-08-14T21:16:46.5369607Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-14T21:16:46.5369730Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-14T21:16:46.5369810Z >>> 2025-08-14T21:16:46.5370165Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2025-08-14T21:16:46.5370308Z >>> # and then redistributed to Replicated DTensor. 2025-08-14T21:16:46.5370414Z >>> parallelize_module( 2025-08-14T21:16:46.5370541Z >>> block, # this can be a submodule or module 2025-08-14T21:16:46.5370635Z >>> tp_mesh, 2025-08-14T21:16:46.5370744Z >>> parallelize_plan={ 2025-08-14T21:16:46.5370864Z >>> "attn": PrepareModuleInput( 2025-08-14T21:16:46.5370994Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-14T21:16:46.5371159Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2025-08-14T21:16:46.5371239Z >>> ), 2025-08-14T21:16:46.5371316Z >>> } 2025-08-14T21:16:46.5371403Z >>> ) 2025-08-14T21:16:46.5371481Z 2025-08-14T21:16:46.5371729Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5371808Z 2025-08-14T21:16:46.5371903Z warnings.warn(msg) 2025-08-14T21:16:46.5371981Z 2025-08-14T21:16:46.5372171Z --- Parse Warning: 92 / 146 --- 2025-08-14T21:16:46.5373185Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=597. 2025-08-14T21:16:46.5373496Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5373570Z 2025-08-14T21:16:46.5373941Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2025-08-14T21:16:46.5374261Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2025-08-14T21:16:46.5374339Z 2025-08-14T21:16:46.5374432Z Keyword Args: 2025-08-14T21:16:46.5374594Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:46.5374915Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-14T21:16:46.5375282Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-14T21:16:46.5375424Z ``None`` need to be specified as a placeholder. 2025-08-14T21:16:46.5375621Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:46.5376231Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-14T21:16:46.5376348Z have the desired DTensor layouts. 2025-08-14T21:16:46.5376470Z use_local_output (bool, optional): 2025-08-14T21:16:46.5376810Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-14T21:16:46.5376896Z Returns: 2025-08-14T21:16:46.5377188Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2025-08-14T21:16:46.5377265Z 2025-08-14T21:16:46.5377353Z Example:: 2025-08-14T21:16:46.5377468Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:46.5377775Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2025-08-14T21:16:46.5377975Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-14T21:16:46.5378056Z >>> ... 2025-08-14T21:16:46.5378346Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-14T21:16:46.5378479Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-14T21:16:46.5378557Z >>> 2025-08-14T21:16:46.5378942Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2025-08-14T21:16:46.5379171Z >>> # and then redistributed to Sharded DTensor. 2025-08-14T21:16:46.5379268Z >>> parallelize_module( 2025-08-14T21:16:46.5379408Z >>> block, # this can be a submodule or module 2025-08-14T21:16:46.5379492Z >>> tp_mesh, 2025-08-14T21:16:46.5379624Z >>> parallelize_plan = PrepareModuleOutput( 2025-08-14T21:16:46.5379754Z >>> output_layouts=Replicate(), 2025-08-14T21:16:46.5379867Z >>> desired_output_layouts=Shard(0) 2025-08-14T21:16:46.5379948Z >>> ) 2025-08-14T21:16:46.5380039Z >>> ) 2025-08-14T21:16:46.5380117Z 2025-08-14T21:16:46.5380360Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5380446Z 2025-08-14T21:16:46.5380537Z warnings.warn(msg) 2025-08-14T21:16:46.5380614Z 2025-08-14T21:16:46.5380822Z --- Parse Warning: 93 / 146 --- 2025-08-14T21:16:46.5381827Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=705. 2025-08-14T21:16:46.5382088Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5382161Z 2025-08-14T21:16:46.5382661Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module 2025-08-14T21:16:46.5383103Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution 2025-08-14T21:16:46.5383464Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of 2025-08-14T21:16:46.5383674Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`. 2025-08-14T21:16:46.5383749Z 2025-08-14T21:16:46.5383832Z Keyword Args: 2025-08-14T21:16:46.5384035Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:46.5384347Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-08-14T21:16:46.5384687Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-08-14T21:16:46.5384818Z as a placeholder. default: None. 2025-08-14T21:16:46.5385036Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-08-14T21:16:46.5385412Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:46.5385870Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-08-14T21:16:46.5385997Z input_kwarg_layouts (Dict[str, Placement]): 2025-08-14T21:16:46.5386370Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-08-14T21:16:46.5386454Z default: None 2025-08-14T21:16:46.5386618Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-08-14T21:16:46.5386967Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-08-14T21:16:46.5387109Z have the desired DTensor layouts. default: None. 2025-08-14T21:16:46.5387235Z use_local_input (bool, optional): 2025-08-14T21:16:46.5387576Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-08-14T21:16:46.5387730Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:46.5388059Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-08-14T21:16:46.5388456Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-08-14T21:16:46.5388604Z ``None`` need to be specified as a placeholder. 2025-08-14T21:16:46.5388790Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-08-14T21:16:46.5389153Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-08-14T21:16:46.5389283Z have the desired DTensor layouts. 2025-08-14T21:16:46.5389395Z use_local_output (bool, optional): 2025-08-14T21:16:46.5389741Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-08-14T21:16:46.5389823Z Returns: 2025-08-14T21:16:46.5390170Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs. 2025-08-14T21:16:46.5390255Z 2025-08-14T21:16:46.5390343Z Example:: 2025-08-14T21:16:46.5390443Z >>> # xdoctest: +SKIP(failing) 2025-08-14T21:16:46.5390784Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput 2025-08-14T21:16:46.5390971Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-08-14T21:16:46.5391048Z >>> ... 2025-08-14T21:16:46.5391380Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-08-14T21:16:46.5391530Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-08-14T21:16:46.5391642Z >>> 2025-08-14T21:16:46.5391959Z >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor 2025-08-14T21:16:46.5392296Z >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated 2025-08-14T21:16:46.5392504Z >>> # as Replicated DTensor and then redistributed to Sharded DTensor. 2025-08-14T21:16:46.5392603Z >>> parallelize_module( 2025-08-14T21:16:46.5392731Z >>> block, # this can be a submodule or module 2025-08-14T21:16:46.5392827Z >>> tp_mesh, 2025-08-14T21:16:46.5392927Z >>> parallelize_plan={ 2025-08-14T21:16:46.5393061Z >>> "attn": PrepareModuleInputOutput( 2025-08-14T21:16:46.5393191Z >>> input_layouts=(Shard(0), None, None, ...), 2025-08-14T21:16:46.5393359Z >>> desired_input_layouts=(Replicate(), None, None, ...), 2025-08-14T21:16:46.5393481Z >>> output_layouts=Replicate(), 2025-08-14T21:16:46.5393600Z >>> desired_output_layouts=Shard(0), 2025-08-14T21:16:46.5393680Z >>> ), 2025-08-14T21:16:46.5393768Z >>> } 2025-08-14T21:16:46.5393847Z >>> ) 2025-08-14T21:16:46.5393920Z 2025-08-14T21:16:46.5394171Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5394259Z 2025-08-14T21:16:46.5394365Z warnings.warn(msg) 2025-08-14T21:16:46.5394442Z 2025-08-14T21:16:46.5394651Z --- Parse Warning: 94 / 146 --- 2025-08-14T21:16:46.5395703Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56. 2025-08-14T21:16:46.5395959Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5396041Z 2025-08-14T21:16:46.5396350Z Creates a multivariate normal distribution with covariance matrix having a low-rank form 2025-08-14T21:16:46.5396534Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`:: 2025-08-14T21:16:46.5396627Z 2025-08-14T21:16:46.5396797Z covariance_matrix = cov_factor @ cov_factor.T + cov_diag 2025-08-14T21:16:46.5396876Z 2025-08-14T21:16:46.5396972Z Example: 2025-08-14T21:16:46.5397115Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-14T21:16:46.5397280Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:46.5397409Z >>> m = LowRankMultivariateNormal( 2025-08-14T21:16:46.5397586Z ... torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2) 2025-08-14T21:16:46.5397668Z ... ) 2025-08-14T21:16:46.5397964Z >>> m.sample() # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]` 2025-08-14T21:16:46.5398066Z tensor([-0.2102, -0.5429]) 2025-08-14T21:16:46.5398162Z 2025-08-14T21:16:46.5398244Z Args: 2025-08-14T21:16:46.5398471Z loc (Tensor): mean of the distribution with shape `batch_shape + event_shape` 2025-08-14T21:16:46.5398735Z cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape 2025-08-14T21:16:46.5398852Z `batch_shape + event_shape + (rank,)` 2025-08-14T21:16:46.5399097Z cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape 2025-08-14T21:16:46.5399219Z `batch_shape + event_shape` 2025-08-14T21:16:46.5399298Z 2025-08-14T21:16:46.5399381Z Note: 2025-08-14T21:16:46.5399650Z The computation for determinant and inverse of covariance matrix is avoided when 2025-08-14T21:16:46.5399882Z `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity 2025-08-14T21:16:46.5400168Z `_ and 2025-08-14T21:16:46.5400476Z `matrix determinant lemma `_. 2025-08-14T21:16:46.5400716Z Thanks to these formulas, we just need to compute the determinant and inverse of 2025-08-14T21:16:46.5400850Z the small size "capacitance" matrix:: 2025-08-14T21:16:46.5400927Z 2025-08-14T21:16:46.5401104Z capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor 2025-08-14T21:16:46.5401193Z 2025-08-14T21:16:46.5401434Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5401527Z 2025-08-14T21:16:46.5401622Z warnings.warn(msg) 2025-08-14T21:16:46.5401699Z 2025-08-14T21:16:46.5401895Z --- Parse Warning: 95 / 146 --- 2025-08-14T21:16:46.5402841Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=15. 2025-08-14T21:16:46.5403094Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5403182Z 2025-08-14T21:16:46.5403397Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2025-08-14T21:16:46.5403646Z distribution where all component are from different parameterizations of 2025-08-14T21:16:46.5403849Z the same distribution type. It is parameterized by a `Categorical` 2025-08-14T21:16:46.5404039Z "selecting distribution" (over `k` component) and a component 2025-08-14T21:16:46.5404245Z distribution, i.e., a `Distribution` with a rightmost batch shape 2025-08-14T21:16:46.5404397Z (equal to `[k]`) which indexes each (batch of) component. 2025-08-14T21:16:46.5404474Z 2025-08-14T21:16:46.5404573Z Examples:: 2025-08-14T21:16:46.5404650Z 2025-08-14T21:16:46.5404768Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5404974Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2025-08-14T21:16:46.5405088Z >>> # weighted normal distributions 2025-08-14T21:16:46.5405213Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-14T21:16:46.5405356Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2025-08-14T21:16:46.5405473Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-14T21:16:46.5405562Z 2025-08-14T21:16:46.5405751Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2025-08-14T21:16:46.5405911Z >>> # weighted bivariate normal distributions 2025-08-14T21:16:46.5406041Z >>> mix = D.Categorical(torch.ones(5,)) 2025-08-14T21:16:46.5406149Z >>> comp = D.Independent(D.Normal( 2025-08-14T21:16:46.5406274Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2025-08-14T21:16:46.5406400Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-14T21:16:46.5406482Z 2025-08-14T21:16:46.5406669Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2025-08-14T21:16:46.5406864Z >>> # consisting of 5 random weighted bivariate normal distributions 2025-08-14T21:16:46.5406980Z >>> mix = D.Categorical(torch.rand(3,5)) 2025-08-14T21:16:46.5407101Z >>> comp = D.Independent(D.Normal( 2025-08-14T21:16:46.5407231Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2025-08-14T21:16:46.5407347Z >>> gmm = MixtureSameFamily(mix, comp) 2025-08-14T21:16:46.5407437Z 2025-08-14T21:16:46.5407517Z Args: 2025-08-14T21:16:46.5407718Z mixture_distribution: `torch.distributions.Categorical`-like 2025-08-14T21:16:46.5407908Z instance. Manages the probability of selecting component. 2025-08-14T21:16:46.5408069Z The number of categories must match the rightmost batch 2025-08-14T21:16:46.5408258Z dimension of the `component_distribution`. Must have either 2025-08-14T21:16:46.5408448Z scalar `batch_shape` or `batch_shape` matching 2025-08-14T21:16:46.5408605Z `component_distribution.batch_shape[:-1]` 2025-08-14T21:16:46.5408830Z component_distribution: `torch.distributions.Distribution`-like 2025-08-14T21:16:46.5409001Z instance. Right-most batch dimension indexes component. 2025-08-14T21:16:46.5409078Z 2025-08-14T21:16:46.5409330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5409407Z 2025-08-14T21:16:46.5409511Z warnings.warn(msg) 2025-08-14T21:16:46.5409589Z 2025-08-14T21:16:46.5409781Z --- Parse Warning: 96 / 146 --- 2025-08-14T21:16:46.5410731Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=120. 2025-08-14T21:16:46.5410987Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5411069Z 2025-08-14T21:16:46.5411259Z Creates a RelaxedBernoulli distribution, parametrized by 2025-08-14T21:16:46.5411440Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2025-08-14T21:16:46.5411657Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2025-08-14T21:16:46.5411833Z so the values are in (0, 1), and has reparametrizable samples. 2025-08-14T21:16:46.5411912Z 2025-08-14T21:16:46.5412011Z Example:: 2025-08-14T21:16:46.5412089Z 2025-08-14T21:16:46.5412228Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:46.5412372Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2025-08-14T21:16:46.5412492Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2025-08-14T21:16:46.5412579Z >>> m.sample() 2025-08-14T21:16:46.5412704Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2025-08-14T21:16:46.5412784Z 2025-08-14T21:16:46.5412866Z Args: 2025-08-14T21:16:46.5413013Z temperature (Tensor): relaxation temperature 2025-08-14T21:16:46.5413183Z probs (Number, Tensor): the probability of sampling `1` 2025-08-14T21:16:46.5413349Z logits (Number, Tensor): the log-odds of sampling `1` 2025-08-14T21:16:46.5413426Z 2025-08-14T21:16:46.5413665Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5413754Z 2025-08-14T21:16:46.5413847Z warnings.warn(msg) 2025-08-14T21:16:46.5413923Z 2025-08-14T21:16:46.5414116Z --- Parse Warning: 97 / 146 --- 2025-08-14T21:16:46.5415144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=109. 2025-08-14T21:16:46.5415408Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5415487Z 2025-08-14T21:16:46.5415699Z Creates a RelaxedOneHotCategorical distribution parametrized by 2025-08-14T21:16:46.5415897Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2025-08-14T21:16:46.5416124Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2025-08-14T21:16:46.5416282Z its samples are on simplex, and are reparametrizable. 2025-08-14T21:16:46.5416369Z 2025-08-14T21:16:46.5416455Z Example:: 2025-08-14T21:16:46.5416532Z 2025-08-14T21:16:46.5416676Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:46.5416834Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2025-08-14T21:16:46.5416971Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2025-08-14T21:16:46.5417057Z >>> m.sample() 2025-08-14T21:16:46.5417171Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2025-08-14T21:16:46.5417289Z 2025-08-14T21:16:46.5417394Z Args: 2025-08-14T21:16:46.5417531Z temperature (Tensor): relaxation temperature 2025-08-14T21:16:46.5417683Z probs (Tensor): event probabilities 2025-08-14T21:16:46.5417863Z logits (Tensor): unnormalized log probability for each event 2025-08-14T21:16:46.5417940Z 2025-08-14T21:16:46.5418192Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5418269Z 2025-08-14T21:16:46.5418378Z warnings.warn(msg) 2025-08-14T21:16:46.5418453Z 2025-08-14T21:16:46.5418634Z --- Parse Warning: 98 / 146 --- 2025-08-14T21:16:46.5419606Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2025-08-14T21:16:46.5419857Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5420044Z Return a new dict with new, potentially nested, key value pair 2025-08-14T21:16:46.5420134Z 2025-08-14T21:16:46.5420224Z >>> purchase = { 2025-08-14T21:16:46.5420329Z ... "name": "Alice", 2025-08-14T21:16:46.5420497Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-14T21:16:46.5420609Z ... "credit card": "5555-1234-1234-1234", 2025-08-14T21:16:46.5420700Z ... } 2025-08-14T21:16:46.5420898Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2025-08-14T21:16:46.5421003Z {'credit card': '5555-1234-1234-1234', 2025-08-14T21:16:46.5421115Z 'name': 'Alice', 2025-08-14T21:16:46.5421274Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2025-08-14T21:16:46.5421353Z 2025-08-14T21:16:46.5421605Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5421686Z 2025-08-14T21:16:46.5421793Z warnings.warn(msg) 2025-08-14T21:16:46.5421874Z 2025-08-14T21:16:46.5422060Z --- Parse Warning: 99 / 146 --- 2025-08-14T21:16:46.5423038Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261. 2025-08-14T21:16:46.5423288Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5423432Z Update value in a (potentially) nested dictionary 2025-08-14T21:16:46.5423522Z 2025-08-14T21:16:46.5423641Z inputs: 2025-08-14T21:16:46.5423755Z d - dictionary on which to operate 2025-08-14T21:16:46.5423975Z keys - list or tuple giving the location of the value to be changed in d 2025-08-14T21:16:46.5424097Z func - function to operate on that value 2025-08-14T21:16:46.5424193Z 2025-08-14T21:16:46.5424377Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2025-08-14T21:16:46.5424602Z original dictionary with v replaced by func(v), but does not mutate the 2025-08-14T21:16:46.5424708Z original dictionary. 2025-08-14T21:16:46.5424785Z 2025-08-14T21:16:46.5424988Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2025-08-14T21:16:46.5425206Z specified by the keys, with the innermost value set to func(default). 2025-08-14T21:16:46.5425283Z 2025-08-14T21:16:46.5425379Z >>> inc = lambda x: x + 1 2025-08-14T21:16:46.5425499Z >>> update_in({"a": 0}, ["a"], inc) 2025-08-14T21:16:46.5425579Z {'a': 1} 2025-08-14T21:16:46.5425759Z 2025-08-14T21:16:46.5425859Z >>> transaction = { 2025-08-14T21:16:46.5425951Z ... "name": "Alice", 2025-08-14T21:16:46.5426149Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-14T21:16:46.5426334Z ... "credit card": "5555-1234-1234-1234", 2025-08-14T21:16:46.5426416Z ... } 2025-08-14T21:16:46.5426659Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2025-08-14T21:16:46.5426765Z {'credit card': '5555-1234-1234-1234', 2025-08-14T21:16:46.5426856Z 'name': 'Alice', 2025-08-14T21:16:46.5427031Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2025-08-14T21:16:46.5427109Z 2025-08-14T21:16:46.5427246Z >>> # updating a value when k0 is not in d 2025-08-14T21:16:46.5427374Z >>> update_in({}, [1, 2, 3], str, default="bar") 2025-08-14T21:16:46.5427466Z {1: {2: {3: 'bar'}}} 2025-08-14T21:16:46.5427596Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2025-08-14T21:16:46.5427688Z {1: 'foo', 2: {3: {4: 1}}} 2025-08-14T21:16:46.5427769Z 2025-08-14T21:16:46.5428024Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5428105Z 2025-08-14T21:16:46.5428206Z warnings.warn(msg) 2025-08-14T21:16:46.5428298Z 2025-08-14T21:16:46.5428499Z --- Parse Warning: 100 / 146 --- 2025-08-14T21:16:46.5429469Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320. 2025-08-14T21:16:46.5429720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5429884Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2025-08-14T21:16:46.5429983Z 2025-08-14T21:16:46.5430157Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2025-08-14T21:16:46.5430352Z ``no_default`` is specified, then it raises KeyError or IndexError. 2025-08-14T21:16:46.5430446Z 2025-08-14T21:16:46.5430647Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2025-08-14T21:16:46.5430795Z structures such as dictionaries and lists. 2025-08-14T21:16:46.5430878Z 2025-08-14T21:16:46.5430974Z >>> transaction = { 2025-08-14T21:16:46.5431084Z ... "name": "Alice", 2025-08-14T21:16:46.5431268Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-08-14T21:16:46.5431379Z ... "credit card": "5555-1234-1234-1234", 2025-08-14T21:16:46.5431477Z ... } 2025-08-14T21:16:46.5431610Z >>> get_in(["purchase", "items", 0], transaction) 2025-08-14T21:16:46.5431691Z 'Apple' 2025-08-14T21:16:46.5431844Z >>> get_in(["name"], transaction) 2025-08-14T21:16:46.5431928Z 'Alice' 2025-08-14T21:16:46.5432055Z >>> get_in(["purchase", "total"], transaction) 2025-08-14T21:16:46.5432211Z >>> get_in(["purchase", "items", "apple"], transaction) 2025-08-14T21:16:46.5432339Z >>> get_in(["purchase", "items", 10], transaction) 2025-08-14T21:16:46.5432486Z >>> get_in(["purchase", "total"], transaction, 0) 2025-08-14T21:16:46.5432568Z 0 2025-08-14T21:16:46.5432678Z >>> get_in(["y"], {}, no_default=True) 2025-08-14T21:16:46.5432798Z Traceback (most recent call last): 2025-08-14T21:16:46.5432879Z ... 2025-08-14T21:16:46.5432965Z KeyError: 'y' 2025-08-14T21:16:46.5433053Z 2025-08-14T21:16:46.5433135Z See Also: 2025-08-14T21:16:46.5433228Z itertoolz.get 2025-08-14T21:16:46.5433337Z operator.getitem 2025-08-14T21:16:46.5433415Z 2025-08-14T21:16:46.5433671Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5433747Z 2025-08-14T21:16:46.5433838Z warnings.warn(msg) 2025-08-14T21:16:46.5433928Z 2025-08-14T21:16:46.5434117Z --- Parse Warning: 101 / 146 --- 2025-08-14T21:16:46.5435132Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373. 2025-08-14T21:16:46.5435443Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5435554Z Group a collection by a key function 2025-08-14T21:16:46.5435631Z 2025-08-14T21:16:46.5435800Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2025-08-14T21:16:46.5435918Z >>> groupby(len, names) # doctest: +SKIP 2025-08-14T21:16:46.5436085Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2025-08-14T21:16:46.5436161Z 2025-08-14T21:16:46.5436266Z >>> iseven = lambda x: x % 2 == 0 2025-08-14T21:16:46.5436445Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2025-08-14T21:16:46.5436551Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2025-08-14T21:16:46.5436629Z 2025-08-14T21:16:46.5436778Z Non-callable keys imply grouping on a member. 2025-08-14T21:16:46.5436863Z 2025-08-14T21:16:46.5436950Z >>> groupby( 2025-08-14T21:16:46.5437048Z ... "gender", 2025-08-14T21:16:46.5437129Z ... [ 2025-08-14T21:16:46.5437258Z ... {"name": "Alice", "gender": "F"}, 2025-08-14T21:16:46.5437368Z ... {"name": "Bob", "gender": "M"}, 2025-08-14T21:16:46.5437484Z ... {"name": "Charlie", "gender": "M"}, 2025-08-14T21:16:46.5437574Z ... ], 2025-08-14T21:16:46.5437668Z ... ) # doctest:+SKIP 2025-08-14T21:16:46.5437779Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2025-08-14T21:16:46.5437899Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2025-08-14T21:16:46.5438008Z {'gender': 'M', 'name': 'Charlie'}]} 2025-08-14T21:16:46.5438083Z 2025-08-14T21:16:46.5438231Z Not to be confused with ``itertools.groupby`` 2025-08-14T21:16:46.5438308Z 2025-08-14T21:16:46.5438389Z See Also: 2025-08-14T21:16:46.5438484Z countby 2025-08-14T21:16:46.5438565Z 2025-08-14T21:16:46.5438821Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5438899Z 2025-08-14T21:16:46.5438993Z warnings.warn(msg) 2025-08-14T21:16:46.5439079Z 2025-08-14T21:16:46.5439264Z --- Parse Warning: 102 / 146 --- 2025-08-14T21:16:46.5440060Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py line=142. 2025-08-14T21:16:46.5440355Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5440576Z Return the recommended gain value for the given nonlinearity function. 2025-08-14T21:16:46.5440667Z 2025-08-14T21:16:46.5440769Z The values are as follows: 2025-08-14T21:16:46.5440846Z 2025-08-14T21:16:46.5440973Z ================= ==================================================== 2025-08-14T21:16:46.5441074Z nonlinearity gain 2025-08-14T21:16:46.5441191Z ================= ==================================================== 2025-08-14T21:16:46.5441306Z Linear / Identity :math:`1` 2025-08-14T21:16:46.5441402Z Conv{1,2,3}D :math:`1` 2025-08-14T21:16:46.5441497Z Sigmoid :math:`1` 2025-08-14T21:16:46.5441615Z Tanh :math:`\frac{5}{3}` 2025-08-14T21:16:46.5441716Z ReLU :math:`\sqrt{2}` 2025-08-14T21:16:46.5441911Z Leaky Relu :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}` 2025-08-14T21:16:46.5442016Z SELU :math:`\frac{3}{4}` 2025-08-14T21:16:46.5442127Z ================= ==================================================== 2025-08-14T21:16:46.5442216Z 2025-08-14T21:16:46.5442307Z .. warning:: 2025-08-14T21:16:46.5442485Z In order to implement `Self-Normalizing Neural Networks`_ , 2025-08-14T21:16:46.5442790Z you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``. 2025-08-14T21:16:46.5442977Z This gives the initial weights a variance of ``1 / N``, 2025-08-14T21:16:46.5443189Z which is necessary to induce a stable fixed point in the forward pass. 2025-08-14T21:16:46.5443415Z In contrast, the default gain for ``SELU`` sacrifices the normalization 2025-08-14T21:16:46.5443590Z effect for more stable gradient flow in rectangular layers. 2025-08-14T21:16:46.5443679Z 2025-08-14T21:16:46.5443760Z Args: 2025-08-14T21:16:46.5443952Z nonlinearity: the non-linear function (`nn.functional` name) 2025-08-14T21:16:46.5444126Z param: optional parameter for the non-linear function 2025-08-14T21:16:46.5444204Z 2025-08-14T21:16:46.5444287Z Examples: 2025-08-14T21:16:46.5444417Z >>> gain = nn.init.calculate_gain( 2025-08-14T21:16:46.5444518Z ... "leaky_relu", 0.2 2025-08-14T21:16:46.5444644Z ... ) # leaky_relu with negative_slope=0.2 2025-08-14T21:16:46.5444738Z 2025-08-14T21:16:46.5445197Z .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html 2025-08-14T21:16:46.5445288Z 2025-08-14T21:16:46.5445529Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5445606Z 2025-08-14T21:16:46.5445712Z warnings.warn(msg) 2025-08-14T21:16:46.5445788Z 2025-08-14T21:16:46.5445976Z --- Parse Warning: 103 / 146 --- 2025-08-14T21:16:46.5446850Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=603. 2025-08-14T21:16:46.5447098Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5447283Z Applies Batch Normalization over a N-Dimensional input. 2025-08-14T21:16:46.5447362Z 2025-08-14T21:16:46.5447687Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2025-08-14T21:16:46.5447916Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2025-08-14T21:16:46.5448117Z Internal Covariate Shift `__ . 2025-08-14T21:16:46.5448195Z 2025-08-14T21:16:46.5448291Z .. math:: 2025-08-14T21:16:46.5448369Z 2025-08-14T21:16:46.5448612Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2025-08-14T21:16:46.5448700Z 2025-08-14T21:16:46.5448919Z The mean and standard-deviation are calculated per-dimension over all 2025-08-14T21:16:46.5449151Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2025-08-14T21:16:46.5449386Z are learnable parameter vectors of size `C` (where `C` is the input size). 2025-08-14T21:16:46.5449555Z By default, the elements of :math:`\gamma` are sampled from 2025-08-14T21:16:46.5449758Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2025-08-14T21:16:46.5450007Z The standard-deviation is calculated via the biased estimator, equivalent to 2025-08-14T21:16:46.5450120Z `torch.var(input, unbiased=False)`. 2025-08-14T21:16:46.5450209Z 2025-08-14T21:16:46.5450433Z Also by default, during training this layer keeps running estimates of its 2025-08-14T21:16:46.5450669Z computed mean and variance, which are then used for normalization during 2025-08-14T21:16:46.5450904Z evaluation. The running estimates are kept with a default :attr:`momentum` 2025-08-14T21:16:46.5450984Z of 0.1. 2025-08-14T21:16:46.5451073Z 2025-08-14T21:16:46.5451289Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2025-08-14T21:16:46.5451561Z keep running estimates, and batch statistics are instead used during 2025-08-14T21:16:46.5451701Z evaluation time as well. 2025-08-14T21:16:46.5451782Z 2025-08-14T21:16:46.5451868Z .. note:: 2025-08-14T21:16:46.5452094Z This :attr:`momentum` argument is different from one used in optimizer 2025-08-14T21:16:46.5452309Z classes and the conventional notion of momentum. Mathematically, the 2025-08-14T21:16:46.5452454Z update rule for running statistics here is 2025-08-14T21:16:46.5452711Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2025-08-14T21:16:46.5452906Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2025-08-14T21:16:46.5453018Z new observed value. 2025-08-14T21:16:46.5453098Z 2025-08-14T21:16:46.5453388Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2025-08-14T21:16:46.5453647Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2025-08-14T21:16:46.5453820Z Normalization or Spatio-temporal Batch Normalization. 2025-08-14T21:16:46.5453908Z 2025-08-14T21:16:46.5454047Z Currently :class:`SyncBatchNorm` only supports 2025-08-14T21:16:46.5454318Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2025-08-14T21:16:46.5454537Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2025-08-14T21:16:46.5454732Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2025-08-14T21:16:46.5454827Z Network with DDP. 2025-08-14T21:16:46.5454917Z 2025-08-14T21:16:46.5454997Z Args: 2025-08-14T21:16:46.5455169Z num_features: :math:`C` from an expected input of size 2025-08-14T21:16:46.5455264Z :math:`(N, C, +)` 2025-08-14T21:16:46.5455445Z eps: a value added to the denominator for numerical stability. 2025-08-14T21:16:46.5455555Z Default: ``1e-5`` 2025-08-14T21:16:46.5455740Z momentum: the value used for the running_mean and running_var 2025-08-14T21:16:46.5455941Z computation. Can be set to ``None`` for cumulative moving average 2025-08-14T21:16:46.5456079Z (i.e. simple average). Default: 0.1 2025-08-14T21:16:46.5456426Z affine: a boolean value that when set to ``True``, this module has 2025-08-14T21:16:46.5456573Z learnable affine parameters. Default: ``True`` 2025-08-14T21:16:46.5456830Z track_running_stats: a boolean value that when set to ``True``, this 2025-08-14T21:16:46.5457055Z module tracks the running mean and variance, and when set to ``False``, 2025-08-14T21:16:46.5457284Z this module does not track such statistics, and initializes statistics 2025-08-14T21:16:46.5457478Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2025-08-14T21:16:46.5457703Z When these buffers are ``None``, this module always uses batch statistics. 2025-08-14T21:16:46.5457868Z in both training and eval modes. Default: ``True`` 2025-08-14T21:16:46.5458106Z process_group: synchronization of stats happen within each process group 2025-08-14T21:16:46.5458333Z individually. Default behavior is synchronization across the whole 2025-08-14T21:16:46.5458420Z world 2025-08-14T21:16:46.5458498Z 2025-08-14T21:16:46.5458595Z Shape: 2025-08-14T21:16:46.5458703Z - Input: :math:`(N, C, +)` 2025-08-14T21:16:46.5458850Z - Output: :math:`(N, C, +)` (same shape as input) 2025-08-14T21:16:46.5458943Z 2025-08-14T21:16:46.5459030Z .. note:: 2025-08-14T21:16:46.5459265Z Synchronization of batchnorm statistics occurs only while training, i.e. 2025-08-14T21:16:46.5459474Z synchronization is disabled when ``model.eval()`` is set or if 2025-08-14T21:16:46.5459661Z ``self.training`` is otherwise ``False``. 2025-08-14T21:16:46.5459784Z 2025-08-14T21:16:46.5459877Z Examples:: 2025-08-14T21:16:46.5459955Z 2025-08-14T21:16:46.5460066Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5460177Z >>> # With Learnable Parameters 2025-08-14T21:16:46.5460284Z >>> m = nn.SyncBatchNorm(100) 2025-08-14T21:16:46.5460419Z >>> # creating process group (optional) 2025-08-14T21:16:46.5460554Z >>> # ranks is a list of int identifying rank ids. 2025-08-14T21:16:46.5460656Z >>> ranks = list(range(8)) 2025-08-14T21:16:46.5460775Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-14T21:16:46.5460919Z >>> # Note: every rank calls into new_group for every 2025-08-14T21:16:46.5461081Z >>> # process group created, even if that rank is not 2025-08-14T21:16:46.5461182Z >>> # part of the group. 2025-08-14T21:16:46.5461425Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-14T21:16:46.5461639Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-14T21:16:46.5461755Z >>> # Without Learnable Parameters 2025-08-14T21:16:46.5461953Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2025-08-14T21:16:46.5462092Z >>> input = torch.randn(20, 100, 35, 45, 10) 2025-08-14T21:16:46.5462191Z >>> output = m(input) 2025-08-14T21:16:46.5462270Z 2025-08-14T21:16:46.5462399Z >>> # network is nn.BatchNorm layer 2025-08-14T21:16:46.5462666Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2025-08-14T21:16:46.5462839Z >>> # only single gpu per process is currently supported 2025-08-14T21:16:46.5463055Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2025-08-14T21:16:46.5463172Z >>> sync_bn_network, 2025-08-14T21:16:46.5463312Z >>> device_ids=[args.local_rank], 2025-08-14T21:16:46.5463442Z >>> output_device=args.local_rank) 2025-08-14T21:16:46.5463523Z 2025-08-14T21:16:46.5463776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5463854Z 2025-08-14T21:16:46.5463962Z warnings.warn(msg) 2025-08-14T21:16:46.5464037Z 2025-08-14T21:16:46.5464254Z --- Parse Warning: 104 / 146 --- 2025-08-14T21:16:46.5465275Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=830. 2025-08-14T21:16:46.5465525Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5465904Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2025-08-14T21:16:46.5466000Z 2025-08-14T21:16:46.5466081Z Args: 2025-08-14T21:16:46.5466328Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2025-08-14T21:16:46.5466537Z process_group (optional): process group to scope synchronization, 2025-08-14T21:16:46.5466647Z default is the whole world 2025-08-14T21:16:46.5466737Z 2025-08-14T21:16:46.5466821Z Returns: 2025-08-14T21:16:46.5467066Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2025-08-14T21:16:46.5467291Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2025-08-14T21:16:46.5467494Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2025-08-14T21:16:46.5467583Z instead. 2025-08-14T21:16:46.5467713Z 2025-08-14T21:16:46.5467829Z Example:: 2025-08-14T21:16:46.5467922Z 2025-08-14T21:16:46.5468090Z >>> # Network with nn.BatchNorm layer 2025-08-14T21:16:46.5468225Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:46.5468361Z >>> module = torch.nn.Sequential( 2025-08-14T21:16:46.5468479Z >>> torch.nn.Linear(20, 100), 2025-08-14T21:16:46.5468600Z >>> torch.nn.BatchNorm1d(100), 2025-08-14T21:16:46.5468707Z >>> ).cuda() 2025-08-14T21:16:46.5468829Z >>> # creating process group (optional) 2025-08-14T21:16:46.5468971Z >>> # ranks is a list of int identifying rank ids. 2025-08-14T21:16:46.5469085Z >>> ranks = list(range(8)) 2025-08-14T21:16:46.5469190Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-08-14T21:16:46.5469348Z >>> # Note: every rank calls into new_group for every 2025-08-14T21:16:46.5469499Z >>> # process group created, even if that rank is not 2025-08-14T21:16:46.5469603Z >>> # part of the group. 2025-08-14T21:16:46.5469733Z >>> # xdoctest: +SKIP("distributed") 2025-08-14T21:16:46.5469974Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-08-14T21:16:46.5470170Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-08-14T21:16:46.5470467Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2025-08-14T21:16:46.5470547Z 2025-08-14T21:16:46.5470637Z 2025-08-14T21:16:46.5470884Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5470961Z 2025-08-14T21:16:46.5471066Z warnings.warn(msg) 2025-08-14T21:16:46.5471145Z 2025-08-14T21:16:46.5471349Z --- Parse Warning: 105 / 146 --- 2025-08-14T21:16:46.5472203Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=66. 2025-08-14T21:16:46.5472456Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5472546Z 2025-08-14T21:16:46.5472846Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2025-08-14T21:16:46.5472928Z 2025-08-14T21:16:46.5473202Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2025-08-14T21:16:46.5473452Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2025-08-14T21:16:46.5473530Z 2025-08-14T21:16:46.5473844Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2025-08-14T21:16:46.5474089Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2025-08-14T21:16:46.5474268Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2025-08-14T21:16:46.5474348Z 2025-08-14T21:16:46.5474429Z Shape: 2025-08-14T21:16:46.5474648Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2025-08-14T21:16:46.5474882Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2025-08-14T21:16:46.5475091Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2025-08-14T21:16:46.5475227Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2025-08-14T21:16:46.5475308Z 2025-08-14T21:16:46.5475388Z Args: 2025-08-14T21:16:46.5475544Z dim (Union[int, str]): Dimension to be unflattened 2025-08-14T21:16:46.5475874Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2025-08-14T21:16:46.5476162Z 2025-08-14T21:16:46.5476349Z Examples: 2025-08-14T21:16:46.5476499Z >>> input = torch.randn(2, 50) 2025-08-14T21:16:46.5476648Z >>> # With tuple of ints 2025-08-14T21:16:46.5476744Z >>> m = nn.Sequential( 2025-08-14T21:16:46.5476838Z >>> nn.Linear(50, 50), 2025-08-14T21:16:46.5476956Z >>> nn.Unflatten(1, (2, 5, 5)) 2025-08-14T21:16:46.5477036Z >>> ) 2025-08-14T21:16:46.5477130Z >>> output = m(input) 2025-08-14T21:16:46.5477235Z >>> output.size() 2025-08-14T21:16:46.5477329Z torch.Size([2, 2, 5, 5]) 2025-08-14T21:16:46.5477420Z >>> # With torch.Size 2025-08-14T21:16:46.5477525Z >>> m = nn.Sequential( 2025-08-14T21:16:46.5477621Z >>> nn.Linear(50, 50), 2025-08-14T21:16:46.5477756Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2025-08-14T21:16:46.5477836Z >>> ) 2025-08-14T21:16:46.5477929Z >>> output = m(input) 2025-08-14T21:16:46.5478035Z >>> output.size() 2025-08-14T21:16:46.5478131Z torch.Size([2, 2, 5, 5]) 2025-08-14T21:16:46.5478251Z >>> # With namedshape (tuple of tuples) 2025-08-14T21:16:46.5478408Z >>> input = torch.randn(2, 50, names=("N", "features")) 2025-08-14T21:16:46.5478604Z >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5))) 2025-08-14T21:16:46.5478709Z >>> output = unflatten(input) 2025-08-14T21:16:46.5478812Z >>> output.size() 2025-08-14T21:16:46.5478906Z torch.Size([2, 2, 5, 5]) 2025-08-14T21:16:46.5478995Z 2025-08-14T21:16:46.5479234Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5479313Z 2025-08-14T21:16:46.5479422Z warnings.warn(msg) 2025-08-14T21:16:46.5479498Z 2025-08-14T21:16:46.5479701Z --- Parse Warning: 106 / 146 --- 2025-08-14T21:16:46.5480648Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1798. 2025-08-14T21:16:46.5480904Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5481093Z Creates a criterion that measures the triplet loss given input 2025-08-14T21:16:46.5481293Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2025-08-14T21:16:46.5481497Z positive, and negative examples, respectively), and a nonnegative, 2025-08-14T21:16:46.5481750Z real-valued function ("distance function") used to compute the relationship 2025-08-14T21:16:46.5482001Z between the anchor and positive example ("positive distance") and the 2025-08-14T21:16:46.5482150Z anchor and negative example ("negative distance"). 2025-08-14T21:16:46.5482240Z 2025-08-14T21:16:46.5482438Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2025-08-14T21:16:46.5482536Z can be described as: 2025-08-14T21:16:46.5482628Z 2025-08-14T21:16:46.5482720Z .. math:: 2025-08-14T21:16:46.5482870Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2025-08-14T21:16:46.5483019Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2025-08-14T21:16:46.5483100Z 2025-08-14T21:16:46.5483351Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2025-08-14T21:16:46.5483627Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2025-08-14T21:16:46.5483855Z and :math:`margin` is a nonnegative margin representing the minimum difference 2025-08-14T21:16:46.5484106Z between the positive and negative distances that is required for the loss to 2025-08-14T21:16:46.5484322Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2025-08-14T21:16:46.5484456Z that the distance function can handle. 2025-08-14T21:16:46.5484534Z 2025-08-14T21:16:46.5484678Z If :attr:`reduction` is not ``'none'`` 2025-08-14T21:16:46.5484815Z (default ``'mean'``), then: 2025-08-14T21:16:46.5484918Z 2025-08-14T21:16:46.5485002Z .. math:: 2025-08-14T21:16:46.5485099Z \ell(x, y) = 2025-08-14T21:16:46.5485188Z \begin{cases} 2025-08-14T21:16:46.5485387Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2025-08-14T21:16:46.5485581Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2025-08-14T21:16:46.5485666Z \end{cases} 2025-08-14T21:16:46.5485744Z 2025-08-14T21:16:46.5485982Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2025-08-14T21:16:46.5486220Z loss for input tensors using the :math:`l_p` distance as the distance function. 2025-08-14T21:16:46.5486310Z 2025-08-14T21:16:46.5486391Z Args: 2025-08-14T21:16:46.5486649Z distance_function (Callable, optional): A nonnegative, real-valued function that 2025-08-14T21:16:46.5486847Z quantifies the closeness of two tensors. If not specified, 2025-08-14T21:16:46.5487014Z `nn.PairwiseDistance` will be used. Default: ``None`` 2025-08-14T21:16:46.5487269Z margin (float, optional): A nonnegative margin representing the minimum difference 2025-08-14T21:16:46.5487539Z between the positive and negative distances required for the loss to be 0. Larger 2025-08-14T21:16:46.5487804Z margins penalize cases where the negative examples are not distant enough from the 2025-08-14T21:16:46.5487985Z anchors, relative to the positives. Default: :math:`1`. 2025-08-14T21:16:46.5488226Z swap (bool, optional): Whether to use the distance swap described in the paper 2025-08-14T21:16:46.5488479Z `Learning shallow convolutional feature descriptors with triplet losses` by 2025-08-14T21:16:46.5488717Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2025-08-14T21:16:46.5488978Z negative example than the anchor is, swaps the positive example and the anchor in 2025-08-14T21:16:46.5489126Z the loss computation. Default: ``False``. 2025-08-14T21:16:46.5489393Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2025-08-14T21:16:46.5489577Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-14T21:16:46.5489765Z ``'mean'``: the sum of the output will be divided by the number of 2025-08-14T21:16:46.5490060Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2025-08-14T21:16:46.5490139Z 2025-08-14T21:16:46.5490235Z 2025-08-14T21:16:46.5490319Z Shape: 2025-08-14T21:16:46.5490567Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2025-08-14T21:16:46.5490695Z as supported by the distance function. 2025-08-14T21:16:46.5490940Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2025-08-14T21:16:46.5491046Z otherwise. 2025-08-14T21:16:46.5491125Z 2025-08-14T21:16:46.5491211Z Examples: 2025-08-14T21:16:46.5491306Z 2025-08-14T21:16:46.5491408Z >>> # Initialize embeddings 2025-08-14T21:16:46.5491524Z >>> embedding = nn.Embedding(1000, 128) 2025-08-14T21:16:46.5491663Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2025-08-14T21:16:46.5491791Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2025-08-14T21:16:46.5491934Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2025-08-14T21:16:46.5492045Z >>> anchor = embedding(anchor_ids) 2025-08-14T21:16:46.5492160Z >>> positive = embedding(positive_ids) 2025-08-14T21:16:46.5492283Z >>> negative = embedding(negative_ids) 2025-08-14T21:16:46.5492364Z >>> 2025-08-14T21:16:46.5492512Z >>> # Built-in Distance Function 2025-08-14T21:16:46.5492645Z >>> triplet_loss = \ 2025-08-14T21:16:46.5492957Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2025-08-14T21:16:46.5493106Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-14T21:16:46.5493221Z >>> output.backward() 2025-08-14T21:16:46.5493302Z >>> 2025-08-14T21:16:46.5493405Z >>> # Custom Distance Function 2025-08-14T21:16:46.5493522Z >>> def l_infinity(x1, x2): 2025-08-14T21:16:46.5493673Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2025-08-14T21:16:46.5493766Z >>> 2025-08-14T21:16:46.5493948Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2025-08-14T21:16:46.5494044Z >>> triplet_loss = ( 2025-08-14T21:16:46.5494327Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2025-08-14T21:16:46.5494473Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-14T21:16:46.5494575Z >>> output.backward() 2025-08-14T21:16:46.5494667Z >>> 2025-08-14T21:16:46.5494782Z >>> # Custom Distance Function (Lambda) 2025-08-14T21:16:46.5494874Z >>> triplet_loss = ( 2025-08-14T21:16:46.5495018Z >>> nn.TripletMarginWithDistanceLoss( 2025-08-14T21:16:46.5495226Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2025-08-14T21:16:46.5495386Z >>> output = triplet_loss(anchor, positive, negative) 2025-08-14T21:16:46.5495483Z >>> output.backward() 2025-08-14T21:16:46.5495560Z 2025-08-14T21:16:46.5495654Z Reference: 2025-08-14T21:16:46.5495947Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2025-08-14T21:16:46.5496162Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2025-08-14T21:16:46.5496259Z 2025-08-14T21:16:46.5496506Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2025-08-14T21:16:46.5496595Z 2025-08-14T21:16:46.5496694Z warnings.warn(msg) 2025-08-14T21:16:46.5496771Z 2025-08-14T21:16:46.5496992Z --- Parse Warning: 107 / 146 --- 2025-08-14T21:16:46.5497802Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1933. 2025-08-14T21:16:46.5498051Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5498209Z The Connectionist Temporal Classification loss. 2025-08-14T21:16:46.5498320Z 2025-08-14T21:16:46.5498685Z Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the 2025-08-14T21:16:46.5499032Z probability of possible alignments of input to target, producing a loss value which is differentiable 2025-08-14T21:16:46.5499359Z with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which 2025-08-14T21:16:46.5499661Z limits the length of the target sequence such that it must be :math:`\leq` the input length. 2025-08-14T21:16:46.5499738Z 2025-08-14T21:16:46.5499819Z Args: 2025-08-14T21:16:46.5499992Z blank (int, optional): blank label. Default :math:`0`. 2025-08-14T21:16:46.5500222Z reduction (str, optional): Specifies the reduction to apply to the output: 2025-08-14T21:16:46.5500419Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-08-14T21:16:46.5500617Z ``'mean'``: the output losses will be divided by the target lengths and 2025-08-14T21:16:46.5500855Z then the mean over the batch is taken, ``'sum'``: the output losses will be summed. 2025-08-14T21:16:46.5500964Z Default: ``'mean'`` 2025-08-14T21:16:46.5501074Z zero_infinity (bool, optional): 2025-08-14T21:16:46.5501320Z Whether to zero infinite losses and the associated gradients. 2025-08-14T21:16:46.5501453Z Default: ``False`` 2025-08-14T21:16:46.5501632Z Infinite losses mainly occur when the inputs are too short 2025-08-14T21:16:46.5501753Z to be aligned to the targets. 2025-08-14T21:16:46.5501831Z 2025-08-14T21:16:46.5501912Z Shape: 2025-08-14T21:16:46.5502108Z - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`, 2025-08-14T21:16:46.5502229Z where :math:`T = \text{input length}`, 2025-08-14T21:16:46.5502342Z :math:`N = \text{batch size}`, and 2025-08-14T21:16:46.5502507Z :math:`C = \text{number of classes (including blank)}`. 2025-08-14T21:16:46.5502722Z The logarithmized probabilities of the outputs (e.g. obtained with 2025-08-14T21:16:46.5502854Z :func:`torch.nn.functional.log_softmax`). 2025-08-14T21:16:46.5502997Z - Targets: Tensor of size :math:`(N, S)` or 2025-08-14T21:16:46.5503153Z :math:`(\operatorname{sum}(\text{target\_lengths}))`, 2025-08-14T21:16:46.5503287Z where :math:`N = \text{batch size}` and 2025-08-14T21:16:46.5503442Z :math:`S = \text{max target length, if shape is } (N, S)`. 2025-08-14T21:16:46.5503631Z It represents the target sequences. Each element in the target 2025-08-14T21:16:46.5503875Z sequence is a class index. And the target index cannot be blank (default=0). 2025-08-14T21:16:46.5504024Z In the :math:`(N, S)` form, targets are padded to the 2025-08-14T21:16:46.5504161Z length of the longest sequence, and stacked. 2025-08-14T21:16:46.5504359Z In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form, 2025-08-14T21:16:46.5504492Z the targets are assumed to be un-padded and 2025-08-14T21:16:46.5504619Z concatenated within 1 dimension. 2025-08-14T21:16:46.5504820Z - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-14T21:16:46.5505015Z where :math:`N = \text{batch size}`. It represents the lengths of the 2025-08-14T21:16:46.5505218Z inputs (must each be :math:`\leq T`). And the lengths are specified 2025-08-14T21:16:46.5505438Z for each sequence to achieve masking under the assumption that sequences 2025-08-14T21:16:46.5505547Z are padded to equal lengths. 2025-08-14T21:16:46.5505895Z - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-08-14T21:16:46.5506153Z where :math:`N = \text{batch size}`. It represents lengths of the targets. 2025-08-14T21:16:46.5506380Z Lengths are specified for each sequence to achieve masking under the 2025-08-14T21:16:46.5506615Z assumption that sequences are padded to equal lengths. If target shape is 2025-08-14T21:16:46.5506787Z :math:`(N,S)`, target_lengths are effectively the stop index 2025-08-14T21:16:46.5507044Z :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for 2025-08-14T21:16:46.5507216Z each target in a batch. Lengths must each be :math:`\leq S` 2025-08-14T21:16:46.5507446Z If the targets are given as a 1d tensor that is the concatenation of individual 2025-08-14T21:16:46.5507684Z targets, the target_lengths must add up to the total length of the tensor. 2025-08-14T21:16:46.5507865Z - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or 2025-08-14T21:16:46.5508105Z ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or 2025-08-14T21:16:46.5508296Z :math:`()` if input is unbatched, where :math:`N = \text{batch size}`. 2025-08-14T21:16:46.5508374Z 2025-08-14T21:16:46.5508473Z Examples: 2025-08-14T21:16:46.5508552Z 2025-08-14T21:16:46.5508738Z >>> # Target are to be padded 2025-08-14T21:16:46.5508861Z >>> T = 50 # Input sequence length 2025-08-14T21:16:46.5509023Z >>> C = 20 # Number of classes (including blank) 2025-08-14T21:16:46.5509128Z >>> N = 16 # Batch size 2025-08-14T21:16:46.5509345Z >>> S = 30 # Target sequence length of longest target in batch (padding length) 2025-08-14T21:16:46.5509521Z >>> S_min = 10 # Minimum target length, for demonstration purposes 2025-08-14T21:16:46.5509619Z >>> 2025-08-14T21:16:46.5509808Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-14T21:16:46.5510010Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-14T21:16:46.5510103Z >>> 2025-08-14T21:16:46.5510288Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-14T21:16:46.5510506Z >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long) 2025-08-14T21:16:46.5510592Z >>> 2025-08-14T21:16:46.5510802Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-14T21:16:46.5510930Z >>> target_lengths = torch.randint( 2025-08-14T21:16:46.5511023Z ... low=S_min, 2025-08-14T21:16:46.5511109Z ... high=S, 2025-08-14T21:16:46.5511211Z ... size=(N,), 2025-08-14T21:16:46.5511311Z ... dtype=torch.long, 2025-08-14T21:16:46.5511391Z ... ) 2025-08-14T21:16:46.5511503Z >>> ctc_loss = nn.CTCLoss() 2025-08-14T21:16:46.5511680Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-14T21:16:46.5511789Z >>> loss.backward() 2025-08-14T21:16:46.5511872Z >>> 2025-08-14T21:16:46.5511951Z >>> 2025-08-14T21:16:46.5512072Z >>> # Target are to be un-padded 2025-08-14T21:16:46.5512179Z >>> T = 50 # Input sequence length 2025-08-14T21:16:46.5512312Z >>> C = 20 # Number of classes (including blank) 2025-08-14T21:16:46.5512420Z >>> N = 16 # Batch size 2025-08-14T21:16:46.5512499Z >>> 2025-08-14T21:16:46.5512689Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-08-14T21:16:46.5512900Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-08-14T21:16:46.5513110Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-08-14T21:16:46.5513202Z >>> 2025-08-14T21:16:46.5513417Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-14T21:16:46.5513648Z >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long) 2025-08-14T21:16:46.5513763Z >>> target = torch.randint( 2025-08-14T21:16:46.5513850Z ... low=1, 2025-08-14T21:16:46.5513935Z ... high=C, 2025-08-14T21:16:46.5514066Z ... size=(sum(target_lengths),), 2025-08-14T21:16:46.5514166Z ... dtype=torch.long, 2025-08-14T21:16:46.5514251Z ... ) 2025-08-14T21:16:46.5514364Z >>> ctc_loss = nn.CTCLoss() 2025-08-14T21:16:46.5514541Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-14T21:16:46.5514649Z >>> loss.backward() 2025-08-14T21:16:46.5514730Z >>> 2025-08-14T21:16:46.5514811Z >>> 2025-08-14T21:16:46.5515001Z >>> # Target are to be un-padded and unbatched (effectively N=1) 2025-08-14T21:16:46.5515114Z >>> T = 50 # Input sequence length 2025-08-14T21:16:46.5515241Z >>> C = 20 # Number of classes (including blank) 2025-08-14T21:16:46.5515338Z >>> 2025-08-14T21:16:46.5515522Z >>> # Initialize random batch of input vectors, for *size = (T,C) 2025-08-14T21:16:46.5515650Z >>> # xdoctest: +SKIP("FIXME: error in doctest") 2025-08-14T21:16:46.5515909Z >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_() 2025-08-14T21:16:46.5516082Z >>> input_lengths = torch.tensor(T, dtype=torch.long) 2025-08-14T21:16:46.5516175Z >>> 2025-08-14T21:16:46.5516361Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-08-14T21:16:46.5516583Z >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long) 2025-08-14T21:16:46.5516696Z >>> target = torch.randint( 2025-08-14T21:16:46.5516782Z ... low=1, 2025-08-14T21:16:46.5516869Z ... high=C, 2025-08-14T21:16:46.5516984Z ... size=(target_lengths,), 2025-08-14T21:16:46.5517094Z ... dtype=torch.long, 2025-08-14T21:16:46.5517174Z ... ) 2025-08-14T21:16:46.5517286Z >>> ctc_loss = nn.CTCLoss() 2025-08-14T21:16:46.5517463Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-08-14T21:16:46.5517577Z >>> loss.backward() 2025-08-14T21:16:46.5517656Z 2025-08-14T21:16:46.5517744Z Reference: 2025-08-14T21:16:46.5517931Z A. Graves et al.: Connectionist Temporal Classification: 2025-08-14T21:16:46.5518148Z Labelling Unsegmented Sequence Data with Recurrent Neural Networks: 2025-08-14T21:16:46.5518307Z https://www.cs.toronto.edu/~graves/icml_2006.pdf 2025-08-14T21:16:46.5518399Z 2025-08-14T21:16:46.5518480Z Note: 2025-08-14T21:16:46.5518711Z In order to use CuDNN, the following must be satisfied: :attr:`targets` must be 2025-08-14T21:16:46.5518970Z in concatenated format, all :attr:`input_lengths` must be `T`. :math:`blank=0`, 2025-08-14T21:16:46.5519182Z :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of 2025-08-14T21:16:46.5519300Z dtype :attr:`torch.int32`. 2025-08-14T21:16:46.5519383Z 2025-08-14T21:16:46.5519644Z The regular implementation uses the (more common in PyTorch) `torch.long` dtype. 2025-08-14T21:16:46.5519741Z 2025-08-14T21:16:46.5519821Z 2025-08-14T21:16:46.5519903Z Note: 2025-08-14T21:16:46.5520154Z In some circumstances when using the CUDA backend with CuDNN, this operator 2025-08-14T21:16:46.5520398Z may select a nondeterministic algorithm to increase performance. If this is 2025-08-14T21:16:46.5520645Z undesirable, you can try to make the operation deterministic (potentially at 2025-08-14T21:16:46.5520873Z a performance cost) by setting ``torch.backends.cudnn.deterministic = 2025-08-14T21:16:46.5520990Z True``. 2025-08-14T21:16:46.5521202Z Please see the notes on :doc:`/notes/randomness` for background. 2025-08-14T21:16:46.5521288Z 2025-08-14T21:16:46.5521532Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5521625Z 2025-08-14T21:16:46.5521724Z warnings.warn(msg) 2025-08-14T21:16:46.5521803Z 2025-08-14T21:16:46.5522046Z --- Parse Warning: 108 / 146 --- 2025-08-14T21:16:46.5522897Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=410. 2025-08-14T21:16:46.5523163Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5523311Z Computes a partial inverse of :class:`MaxPool2d`. 2025-08-14T21:16:46.5523391Z 2025-08-14T21:16:46.5523655Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2025-08-14T21:16:46.5523732Z 2025-08-14T21:16:46.5523948Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2025-08-14T21:16:46.5524190Z including the indices of the maximal values and computes a partial inverse 2025-08-14T21:16:46.5524398Z in which all non-maximal values are set to zero. 2025-08-14T21:16:46.5524488Z 2025-08-14T21:16:46.5524594Z Note: 2025-08-14T21:16:46.5524893Z This operation may behave nondeterministically when the input indices has repeat values. 2025-08-14T21:16:46.5525272Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2025-08-14T21:16:46.5525353Z 2025-08-14T21:16:46.5525575Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2025-08-14T21:16:46.5525754Z sizes. Hence, the inversion process can get ambiguous. 2025-08-14T21:16:46.5525936Z To accommodate this, you can provide the needed output size 2025-08-14T21:16:46.5526151Z as an additional argument :attr:`output_size` in the forward call. 2025-08-14T21:16:46.5526269Z See the Inputs and Example below. 2025-08-14T21:16:46.5526345Z 2025-08-14T21:16:46.5526439Z Args: 2025-08-14T21:16:46.5526615Z kernel_size (int or tuple): Size of the max pooling window. 2025-08-14T21:16:46.5526781Z stride (int or tuple): Stride of the max pooling window. 2025-08-14T21:16:46.5526923Z It is set to :attr:`kernel_size` by default. 2025-08-14T21:16:46.5527098Z padding (int or tuple): Padding that was added to the input 2025-08-14T21:16:46.5527174Z 2025-08-14T21:16:46.5527266Z Inputs: 2025-08-14T21:16:46.5527384Z - `input`: the input Tensor to invert 2025-08-14T21:16:46.5527591Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2025-08-14T21:16:46.5527745Z - `output_size` (optional): the targeted output size 2025-08-14T21:16:46.5527824Z 2025-08-14T21:16:46.5527921Z Shape: 2025-08-14T21:16:46.5528100Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2025-08-14T21:16:46.5528306Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2025-08-14T21:16:46.5528400Z 2025-08-14T21:16:46.5528490Z .. math:: 2025-08-14T21:16:46.5528749Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2025-08-14T21:16:46.5528839Z 2025-08-14T21:16:46.5528924Z .. math:: 2025-08-14T21:16:46.5529182Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2025-08-14T21:16:46.5529260Z 2025-08-14T21:16:46.5529418Z or as given by :attr:`output_size` in the call operator 2025-08-14T21:16:46.5529509Z 2025-08-14T21:16:46.5529628Z Example:: 2025-08-14T21:16:46.5529706Z 2025-08-14T21:16:46.5529875Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2025-08-14T21:16:46.5529999Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2025-08-14T21:16:46.5530127Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2025-08-14T21:16:46.5530252Z [ 5., 6., 7., 8.], 2025-08-14T21:16:46.5530358Z [ 9., 10., 11., 12.], 2025-08-14T21:16:46.5530480Z [13., 14., 15., 16.]]]]) 2025-08-14T21:16:46.5530594Z >>> output, indices = pool(input) 2025-08-14T21:16:46.5530697Z >>> unpool(output, indices) 2025-08-14T21:16:46.5530811Z tensor([[[[ 0., 0., 0., 0.], 2025-08-14T21:16:46.5530906Z [ 0., 6., 0., 8.], 2025-08-14T21:16:46.5531001Z [ 0., 0., 0., 0.], 2025-08-14T21:16:46.5531114Z [ 0., 14., 0., 16.]]]]) 2025-08-14T21:16:46.5531317Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2025-08-14T21:16:46.5531466Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2025-08-14T21:16:46.5531577Z [ 6., 7., 8., 9., 10.], 2025-08-14T21:16:46.5531738Z [11., 12., 13., 14., 15.], 2025-08-14T21:16:46.5531885Z [16., 17., 18., 19., 20.]]]]) 2025-08-14T21:16:46.5531995Z >>> output, indices = pool(input) 2025-08-14T21:16:46.5532163Z >>> # This call will not work without specifying output_size 2025-08-14T21:16:46.5532327Z >>> unpool(output, indices, output_size=input.size()) 2025-08-14T21:16:46.5532430Z tensor([[[[ 0., 0., 0., 0., 0.], 2025-08-14T21:16:46.5532527Z [ 0., 7., 0., 9., 0.], 2025-08-14T21:16:46.5532641Z [ 0., 0., 0., 0., 0.], 2025-08-14T21:16:46.5532738Z [ 0., 17., 0., 19., 0.]]]]) 2025-08-14T21:16:46.5532829Z 2025-08-14T21:16:46.5532905Z 2025-08-14T21:16:46.5532984Z 2025-08-14T21:16:46.5533240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5533321Z 2025-08-14T21:16:46.5533417Z warnings.warn(msg) 2025-08-14T21:16:46.5533508Z 2025-08-14T21:16:46.5533709Z --- Parse Warning: 109 / 146 --- 2025-08-14T21:16:46.5534555Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=272. 2025-08-14T21:16:46.5534818Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5535126Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2025-08-14T21:16:46.5535220Z 2025-08-14T21:16:46.5535525Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2025-08-14T21:16:46.5535630Z and with 2D inputs, this class 2025-08-14T21:16:46.5535722Z 2025-08-14T21:16:46.5536013Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2025-08-14T21:16:46.5536314Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2025-08-14T21:16:46.5536613Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2025-08-14T21:16:46.5536691Z 2025-08-14T21:16:46.5537040Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2025-08-14T21:16:46.5537128Z operations. 2025-08-14T21:16:46.5537204Z 2025-08-14T21:16:46.5537490Z EmbeddingBag also supports per-sample weights as an argument to the forward 2025-08-14T21:16:46.5537720Z pass. This scales the output of the Embedding before performing a weighted 2025-08-14T21:16:46.5537956Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2025-08-14T21:16:46.5538194Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2025-08-14T21:16:46.5538305Z :attr:`per_sample_weights`. 2025-08-14T21:16:46.5538394Z 2025-08-14T21:16:46.5538474Z Args: 2025-08-14T21:16:46.5538650Z num_embeddings (int): size of the dictionary of embeddings 2025-08-14T21:16:46.5538825Z embedding_dim (int): the size of each embedding vector 2025-08-14T21:16:46.5539124Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2025-08-14T21:16:46.5539274Z is renormalized to have norm :attr:`max_norm`. 2025-08-14T21:16:46.5539608Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2025-08-14T21:16:46.5539916Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2025-08-14T21:16:46.5540112Z the words in the mini-batch. Default ``False``. 2025-08-14T21:16:46.5540314Z Note: this option is not supported when ``mode="max"``. 2025-08-14T21:16:46.5540579Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2025-08-14T21:16:46.5540805Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2025-08-14T21:16:46.5541015Z into consideration. ``"mean"`` computes the average of the values 2025-08-14T21:16:46.5541198Z in the bag, ``"max"`` computes the max value over each bag. 2025-08-14T21:16:46.5541312Z Default: ``"mean"`` 2025-08-14T21:16:46.5541618Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2025-08-14T21:16:46.5541876Z Notes for more details regarding sparse gradients. Note: this option is not 2025-08-14T21:16:46.5542008Z supported when ``mode="max"``. 2025-08-14T21:16:46.5542374Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2025-08-14T21:16:46.5542587Z is equivalent to the size of `indices`. This matches the CSR format. 2025-08-14T21:16:46.5542900Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2025-08-14T21:16:46.5543175Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2025-08-14T21:16:46.5543413Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2025-08-14T21:16:46.5543683Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2025-08-14T21:16:46.5543920Z zeros, but can be updated to another value to be used as the padding vector. 2025-08-14T21:16:46.5544162Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2025-08-14T21:16:46.5544280Z reduction. 2025-08-14T21:16:46.5544358Z 2025-08-14T21:16:46.5544444Z Attributes: 2025-08-14T21:16:46.5544759Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2025-08-14T21:16:46.5544928Z initialized from :math:`\mathcal{N}(0, 1)`. 2025-08-14T21:16:46.5545020Z 2025-08-14T21:16:46.5545112Z Examples:: 2025-08-14T21:16:46.5545189Z 2025-08-14T21:16:46.5545368Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2025-08-14T21:16:46.5545522Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2025-08-14T21:16:46.5545650Z >>> # a batch of 2 samples of 4 indices each 2025-08-14T21:16:46.5545960Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2025-08-14T21:16:46.5546109Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-14T21:16:46.5546247Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:46.5546373Z >>> embedding_sum(input, offsets) 2025-08-14T21:16:46.5546480Z tensor([[-0.8861, -5.4350, -0.0523], 2025-08-14T21:16:46.5546597Z [ 1.1306, -2.5798, -1.0044]]) 2025-08-14T21:16:46.5546675Z 2025-08-14T21:16:46.5546785Z >>> # Example with padding_idx 2025-08-14T21:16:46.5547000Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2025-08-14T21:16:46.5547177Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2025-08-14T21:16:46.5547355Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-08-14T21:16:46.5547504Z >>> embedding_sum(input, offsets) 2025-08-14T21:16:46.5547632Z tensor([[ 0.0000, 0.0000, 0.0000], 2025-08-14T21:16:46.5547733Z [-0.7082, 3.2145, -2.6251]]) 2025-08-14T21:16:46.5547823Z 2025-08-14T21:16:46.5547991Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2025-08-14T21:16:46.5548145Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2025-08-14T21:16:46.5548298Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2025-08-14T21:16:46.5548401Z embedding.weight, 2025-08-14T21:16:46.5548542Z padding_idx=embedding.padding_idx, 2025-08-14T21:16:46.5548635Z mode='sum') 2025-08-14T21:16:46.5548715Z 2025-08-14T21:16:46.5548969Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5549047Z 2025-08-14T21:16:46.5549145Z warnings.warn(msg) 2025-08-14T21:16:46.5549240Z 2025-08-14T21:16:46.5549462Z --- Parse Warning: 110 / 146 --- 2025-08-14T21:16:46.5550392Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py line=186. 2025-08-14T21:16:46.5550646Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5550791Z Take in and process masked source/target sequences. 2025-08-14T21:16:46.5550888Z 2025-08-14T21:16:46.5550978Z .. note:: 2025-08-14T21:16:46.5551059Z 2025-08-14T21:16:46.5551447Z If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are 2025-08-14T21:16:46.5551588Z not allowed to participate in the attention, 2025-08-14T21:16:46.5551789Z which is the opposite of the definition for :attr:`attn_mask` 2025-08-14T21:16:46.5551974Z in :func:`torch.nn.functional.scaled_dot_product_attention`. 2025-08-14T21:16:46.5552056Z 2025-08-14T21:16:46.5552154Z Args: 2025-08-14T21:16:46.5552289Z src: the sequence to the encoder (required). 2025-08-14T21:16:46.5552421Z tgt: the sequence to the decoder (required). 2025-08-14T21:16:46.5552614Z src_mask: the additive mask for the src sequence (optional). 2025-08-14T21:16:46.5552789Z tgt_mask: the additive mask for the tgt sequence (optional). 2025-08-14T21:16:46.5553037Z memory_mask: the additive mask for the encoder output (optional). 2025-08-14T21:16:46.5553257Z src_key_padding_mask: the Tensor mask for src keys per batch (optional). 2025-08-14T21:16:46.5553474Z tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional). 2025-08-14T21:16:46.5553737Z memory_key_padding_mask: the Tensor mask for memory keys per batch (optional). 2025-08-14T21:16:46.5553936Z src_is_causal: If specified, applies a causal mask as ``src_mask``. 2025-08-14T21:16:46.5554083Z Default: ``None``; try to detect a causal mask. 2025-08-14T21:16:46.5554188Z Warning: 2025-08-14T21:16:46.5554339Z ``src_is_causal`` provides a hint that ``src_mask`` is 2025-08-14T21:16:46.5554525Z the causal mask. Providing incorrect hints can result in 2025-08-14T21:16:46.5554682Z incorrect execution, including forward and backward 2025-08-14T21:16:46.5554784Z compatibility. 2025-08-14T21:16:46.5554995Z tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``. 2025-08-14T21:16:46.5555140Z Default: ``None``; try to detect a causal mask. 2025-08-14T21:16:46.5555230Z Warning: 2025-08-14T21:16:46.5555472Z ``tgt_is_causal`` provides a hint that ``tgt_mask`` is 2025-08-14T21:16:46.5555643Z the causal mask. Providing incorrect hints can result in 2025-08-14T21:16:46.5555841Z incorrect execution, including forward and backward 2025-08-14T21:16:46.5555939Z compatibility. 2025-08-14T21:16:46.5556111Z memory_is_causal: If specified, applies a causal mask as 2025-08-14T21:16:46.5556221Z ``memory_mask``. 2025-08-14T21:16:46.5556320Z Default: ``False``. 2025-08-14T21:16:46.5556409Z Warning: 2025-08-14T21:16:46.5556554Z ``memory_is_causal`` provides a hint that 2025-08-14T21:16:46.5556716Z ``memory_mask`` is the causal mask. Providing incorrect 2025-08-14T21:16:46.5556871Z hints can result in incorrect execution, including 2025-08-14T21:16:46.5557005Z forward and backward compatibility. 2025-08-14T21:16:46.5557085Z 2025-08-14T21:16:46.5557180Z Shape: 2025-08-14T21:16:46.5557420Z - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or 2025-08-14T21:16:46.5557534Z `(N, S, E)` if `batch_first=True`. 2025-08-14T21:16:46.5557777Z - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-14T21:16:46.5557890Z `(N, T, E)` if `batch_first=True`. 2025-08-14T21:16:46.5558072Z - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`. 2025-08-14T21:16:46.5558268Z - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`. 2025-08-14T21:16:46.5558378Z - memory_mask: :math:`(T, S)`. 2025-08-14T21:16:46.5558620Z - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-14T21:16:46.5558851Z - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`. 2025-08-14T21:16:46.5559095Z - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-08-14T21:16:46.5559190Z 2025-08-14T21:16:46.5559486Z Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked 2025-08-14T21:16:46.5559687Z positions. If a BoolTensor is provided, positions with ``True`` 2025-08-14T21:16:46.5559950Z are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor 2025-08-14T21:16:46.5560111Z is provided, it will be added to the attention weight. 2025-08-14T21:16:46.5560448Z [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by 2025-08-14T21:16:46.5560656Z the attention. If a BoolTensor is provided, the positions with the 2025-08-14T21:16:46.5560953Z value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. 2025-08-14T21:16:46.5561047Z 2025-08-14T21:16:46.5561296Z - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-08-14T21:16:46.5561424Z `(N, T, E)` if `batch_first=True`. 2025-08-14T21:16:46.5561504Z 2025-08-14T21:16:46.5561738Z Note: Due to the multi-head attention architecture in the transformer model, 2025-08-14T21:16:46.5561980Z the output sequence length of a transformer is same as the input sequence 2025-08-14T21:16:46.5562100Z (i.e. target) length of the decoder. 2025-08-14T21:16:46.5562180Z 2025-08-14T21:16:46.5562505Z where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the 2025-08-14T21:16:46.5562638Z batch size, :math:`E` is the feature number 2025-08-14T21:16:46.5562713Z 2025-08-14T21:16:46.5562811Z Examples: 2025-08-14T21:16:46.5562972Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5563099Z >>> output = transformer_model( 2025-08-14T21:16:46.5563270Z ... src, tgt, src_mask=src_mask, tgt_mask=tgt_mask 2025-08-14T21:16:46.5563353Z ... ) 2025-08-14T21:16:46.5563442Z 2025-08-14T21:16:46.5563683Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5563761Z 2025-08-14T21:16:46.5563869Z warnings.warn(msg) 2025-08-14T21:16:46.5563945Z 2025-08-14T21:16:46.5564147Z --- Parse Warning: 111 / 146 --- 2025-08-14T21:16:46.5565131Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1766. 2025-08-14T21:16:46.5565383Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5565485Z 2025-08-14T21:16:46.5565711Z Context manager for training with uneven inputs across processes in DDP. 2025-08-14T21:16:46.5565792Z 2025-08-14T21:16:46.5566023Z This context manager will keep track of already-joined DDP processes, 2025-08-14T21:16:46.5566223Z and "shadow" the forward and backward passes by inserting collective 2025-08-14T21:16:46.5566446Z communication operations to match with the ones created by non-joined 2025-08-14T21:16:46.5566683Z DDP processes. This will ensure each collective call has a corresponding 2025-08-14T21:16:46.5566897Z call by already-joined DDP processes, preventing hangs or errors that 2025-08-14T21:16:46.5567106Z would otherwise happen when training with uneven inputs across 2025-08-14T21:16:46.5567333Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2025-08-14T21:16:46.5567534Z specified to be ``True``, all trainers will throw an error once one rank 2025-08-14T21:16:46.5567746Z runs out of inputs, allowing these errors to be caught and handled 2025-08-14T21:16:46.5567857Z according to application logic. 2025-08-14T21:16:46.5567935Z 2025-08-14T21:16:46.5568153Z Once all DDP processes have joined, the context manager will broadcast 2025-08-14T21:16:46.5568367Z the model corresponding to the last joined process to all processes to 2025-08-14T21:16:46.5568521Z ensure the model is the same across all processes 2025-08-14T21:16:46.5568625Z (which is guaranteed by DDP). 2025-08-14T21:16:46.5568703Z 2025-08-14T21:16:46.5568906Z To use this to enable training with uneven inputs across processes, 2025-08-14T21:16:46.5569147Z simply wrap this context manager around your training loop. No further 2025-08-14T21:16:46.5569315Z modifications to the model or data loading is required. 2025-08-14T21:16:46.5569404Z 2025-08-14T21:16:46.5569493Z .. warning:: 2025-08-14T21:16:46.5569689Z If the model or training loop this context manager is wrapped around 2025-08-14T21:16:46.5569883Z has additional distributed collective operations, such as 2025-08-14T21:16:46.5570065Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2025-08-14T21:16:46.5570273Z ``throw_on_early_termination`` must be enabled. This is because this 2025-08-14T21:16:46.5570472Z context manager is not aware of non-DDP collective communication. 2025-08-14T21:16:46.5570637Z This flag will cause all ranks to throw when any one rank 2025-08-14T21:16:46.5570847Z exhausts inputs, allowing these errors to be caught and recovered 2025-08-14T21:16:46.5570944Z from across all ranks. 2025-08-14T21:16:46.5571024Z 2025-08-14T21:16:46.5571120Z Args: 2025-08-14T21:16:46.5571291Z divide_by_initial_world_size (bool): If ``True``, will divide 2025-08-14T21:16:46.5571500Z gradients by the initial ``world_size`` DDP training was launched 2025-08-14T21:16:46.5571684Z with. If ``False``, will compute the effective world size 2025-08-14T21:16:46.5571891Z (number of ranks that have not depleted their inputs yet) and 2025-08-14T21:16:46.5572071Z divide gradients by that during allreduce. Set 2025-08-14T21:16:46.5572241Z ``divide_by_initial_world_size=True`` to ensure every input 2025-08-14T21:16:46.5572439Z sample including the uneven inputs have equal weight in terms of 2025-08-14T21:16:46.5572613Z how much they contribute to the global gradient. This is 2025-08-14T21:16:46.5572779Z achieved by always dividing the gradient by the initial 2025-08-14T21:16:46.5572970Z ``world_size`` even when we encounter uneven inputs. If you set 2025-08-14T21:16:46.5573132Z this to ``False``, we divide the gradient by the remaining 2025-08-14T21:16:46.5573316Z number of nodes. This ensures parity with training on a smaller 2025-08-14T21:16:46.5573503Z ``world_size`` although it also means the uneven inputs would 2025-08-14T21:16:46.5573692Z contribute more towards the global gradient. Typically, you 2025-08-14T21:16:46.5573872Z would want to set this to ``True`` for cases where the last few 2025-08-14T21:16:46.5574071Z inputs of your training job are uneven. In extreme cases, where 2025-08-14T21:16:46.5574246Z there is a large discrepancy in the number of inputs, setting 2025-08-14T21:16:46.5574394Z this to ``False`` might provide better results. 2025-08-14T21:16:46.5574591Z enable (bool): Whether to enable uneven input detection or not. Pass 2025-08-14T21:16:46.5574757Z in ``enable=False`` to disable in cases where you know that 2025-08-14T21:16:46.5574946Z inputs are even across participating processes. Default is 2025-08-14T21:16:46.5575033Z ``True``. 2025-08-14T21:16:46.5575208Z throw_on_early_termination (bool): Whether to throw an error 2025-08-14T21:16:46.5575391Z or continue training when at least one rank has exhausted 2025-08-14T21:16:46.5575567Z inputs. If ``True``, will throw upon the first rank reaching end 2025-08-14T21:16:46.5575744Z of data. If ``False``, will continue training with a smaller 2025-08-14T21:16:46.5575929Z effective world size until all ranks are joined. Note that if 2025-08-14T21:16:46.5576246Z this flag is specified, then the flag 2025-08-14T21:16:46.5576426Z ``divide_by_initial_world_size`` would be ignored. Default 2025-08-14T21:16:46.5576515Z is ``False``. 2025-08-14T21:16:46.5576593Z 2025-08-14T21:16:46.5576683Z 2025-08-14T21:16:46.5576862Z Example:: 2025-08-14T21:16:46.5576941Z 2025-08-14T21:16:46.5577067Z >>> # xdoctest: +SKIP("Distributed") 2025-08-14T21:16:46.5577157Z >>> import torch 2025-08-14T21:16:46.5577271Z >>> import torch.distributed as dist 2025-08-14T21:16:46.5577372Z >>> import os 2025-08-14T21:16:46.5577500Z >>> import torch.multiprocessing as mp 2025-08-14T21:16:46.5577614Z >>> import torch.nn as nn 2025-08-14T21:16:46.5577716Z >>> # On each spawned worker 2025-08-14T21:16:46.5577811Z >>> def worker(rank): 2025-08-14T21:16:46.5577996Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2025-08-14T21:16:46.5578105Z >>> torch.cuda.set_device(rank) 2025-08-14T21:16:46.5578237Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2025-08-14T21:16:46.5578424Z >>> model = torch.nn.parallel.DistributedDataParallel( 2025-08-14T21:16:46.5578562Z >>> model, device_ids=[rank], output_device=rank 2025-08-14T21:16:46.5578643Z >>> ) 2025-08-14T21:16:46.5578781Z >>> # Rank 1 gets one more input than rank 0. 2025-08-14T21:16:46.5578959Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2025-08-14T21:16:46.5579068Z >>> with model.join(): 2025-08-14T21:16:46.5579255Z >>> for _ in range(5): 2025-08-14T21:16:46.5579359Z >>> for inp in inputs: 2025-08-14T21:16:46.5579521Z >>> loss = model(inp).sum() 2025-08-14T21:16:46.5579621Z >>> loss.backward() 2025-08-14T21:16:46.5579805Z >>> # Without the join() API, the below synchronization will hang 2025-08-14T21:16:46.5579956Z >>> # blocking for rank 1's allreduce to complete. 2025-08-14T21:16:46.5580078Z >>> torch.cuda.synchronize(device=rank) 2025-08-14T21:16:46.5580167Z 2025-08-14T21:16:46.5580423Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5580502Z 2025-08-14T21:16:46.5580612Z warnings.warn(msg) 2025-08-14T21:16:46.5580689Z 2025-08-14T21:16:46.5580905Z --- Parse Warning: 112 / 146 --- 2025-08-14T21:16:46.5581951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2057. 2025-08-14T21:16:46.5582207Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5582300Z 2025-08-14T21:16:46.5582593Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2025-08-14T21:16:46.5582672Z 2025-08-14T21:16:46.5582884Z Registers an optimizer with DDP such that the optimization for a 2025-08-14T21:16:46.5583082Z parameter will run immediately when that parameter's gradient is 2025-08-14T21:16:46.5583279Z finished with reduction, instead of waiting for all parameters' 2025-08-14T21:16:46.5583504Z gradients to finish reduction. This can result in a training speedup 2025-08-14T21:16:46.5583716Z depending on your workload since the optimizer can run while gradient 2025-08-14T21:16:46.5583940Z reduction for other parameters are still ongoing. In addition, this has 2025-08-14T21:16:46.5584172Z the potential to reduce peak memory consumption during training, as it 2025-08-14T21:16:46.5584367Z only needs to load the per-parameter optimizer states of a single 2025-08-14T21:16:46.5584586Z parameter at a time, instead of loading all per-parameter optimizer 2025-08-14T21:16:46.5584676Z states at once. 2025-08-14T21:16:46.5584754Z 2025-08-14T21:16:46.5584849Z Args: 2025-08-14T21:16:46.5585039Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2025-08-14T21:16:46.5585139Z as a fused optimizer. 2025-08-14T21:16:46.5585369Z *args (Sequence[Any]): Arguments to forward to `optim`. 2025-08-14T21:16:46.5585574Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2025-08-14T21:16:46.5585882Z to optimize, similar to `params` argument of traditional `torch.optim` 2025-08-14T21:16:46.5586086Z Optimizers. If this is omitted, all DDP model parameters will be 2025-08-14T21:16:46.5586179Z optimized. 2025-08-14T21:16:46.5586383Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2025-08-14T21:16:46.5586465Z 2025-08-14T21:16:46.5586556Z .. warning :: 2025-08-14T21:16:46.5586778Z _register_fused_optim should only be called once on a DDP instance, 2025-08-14T21:16:46.5586980Z and registering multiple fused optimizers for the same DDP model 2025-08-14T21:16:46.5587105Z is not currently supported. Please ping 2025-08-14T21:16:46.5587344Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-14T21:16:46.5587440Z for your use case. 2025-08-14T21:16:46.5587532Z 2025-08-14T21:16:46.5587617Z .. warning :: 2025-08-14T21:16:46.5587799Z _register_fused_optim and register_comm_hook currently do not 2025-08-14T21:16:46.5588016Z compose together, meaning that custom DDP communication hooks are 2025-08-14T21:16:46.5588241Z not supported with overlapped optimizers. Please ping 2025-08-14T21:16:46.5588462Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-14T21:16:46.5588596Z for your use case. 2025-08-14T21:16:46.5588674Z 2025-08-14T21:16:46.5588757Z .. warning :: 2025-08-14T21:16:46.5588981Z Gradient accumulation and DDP `no_sync` are currently not supported 2025-08-14T21:16:46.5589102Z with overlapped optimizer. Please ping 2025-08-14T21:16:46.5589329Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-08-14T21:16:46.5589420Z for your use case. 2025-08-14T21:16:46.5589496Z 2025-08-14T21:16:46.5589593Z Example:: 2025-08-14T21:16:46.5589672Z 2025-08-14T21:16:46.5589799Z >>> # xdoctest: +SKIP("No rendezvous handler") 2025-08-14T21:16:46.5590096Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2025-08-14T21:16:46.5590289Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2025-08-14T21:16:46.5590379Z >>> lr = 1e-2 2025-08-14T21:16:46.5590483Z >>> betas = (0.9, 0.99) 2025-08-14T21:16:46.5590569Z >>> eps = 1e-6 2025-08-14T21:16:46.5590797Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2025-08-14T21:16:46.5590914Z >>> # Example with subset of parameters 2025-08-14T21:16:46.5591046Z >>> params_to_opt = [list(net.parameters())[0]] 2025-08-14T21:16:46.5591165Z >>> net._register_fused_optim( 2025-08-14T21:16:46.5591382Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2025-08-14T21:16:46.5591463Z ... ) 2025-08-14T21:16:46.5591551Z 2025-08-14T21:16:46.5591795Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5591874Z 2025-08-14T21:16:46.5591983Z warnings.warn(msg) 2025-08-14T21:16:46.5592060Z 2025-08-14T21:16:46.5592285Z --- Parse Warning: 113 / 146 --- 2025-08-14T21:16:46.5593237Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=14. 2025-08-14T21:16:46.5593493Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5593714Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2025-08-14T21:16:46.5593793Z 2025-08-14T21:16:46.5594055Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-14T21:16:46.5594362Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-14T21:16:46.5594608Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-14T21:16:46.5594914Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-14T21:16:46.5594995Z 2025-08-14T21:16:46.5595079Z .. note:: 2025-08-14T21:16:46.5595317Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2025-08-14T21:16:46.5595530Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2025-08-14T21:16:46.5595732Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-14T21:16:46.5595957Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-14T21:16:46.5596169Z One place we are confident in is that NHWC(channels_last) conversion for 2025-08-14T21:16:46.5596390Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2025-08-14T21:16:46.5596583Z even in cases where we have to apply permutation to input tensors. 2025-08-14T21:16:46.5596660Z 2025-08-14T21:16:46.5596886Z Hence our strategy here is to convert only the weight of convolution to 2025-08-14T21:16:46.5597069Z channels_last. This ensures that; 2025-08-14T21:16:46.5597300Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-14T21:16:46.5597532Z outweigh overhead of permutation (if input is not in the same format). 2025-08-14T21:16:46.5597756Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-14T21:16:46.5597879Z from memory_format conversion. 2025-08-14T21:16:46.5597959Z 2025-08-14T21:16:46.5598173Z The optimal case is that, layers between convolution layers are channels 2025-08-14T21:16:46.5598412Z last compatible. Input tensor would be permuted to channels last when it 2025-08-14T21:16:46.5598630Z encounters the first convolution layer and stay in that memory format. 2025-08-14T21:16:46.5598856Z Hence following convolutions will not need to permute its input tensor. 2025-08-14T21:16:46.5598953Z 2025-08-14T21:16:46.5599170Z In case where a channels last incompatible layer is between convolution 2025-08-14T21:16:46.5599390Z layers, we need to permute the input tensor back to contiguous format 2025-08-14T21:16:46.5599603Z for that layer. The input tensor will go through the remaining layers in 2025-08-14T21:16:46.5599817Z contiguous format and be permuted to channels last when it encounters 2025-08-14T21:16:46.5600084Z another convolution layer. There's no point in propagating that 2025-08-14T21:16:46.5600300Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-14T21:16:46.5600420Z ``memory_format``. 2025-08-14T21:16:46.5600530Z 2025-08-14T21:16:46.5600799Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-14T21:16:46.5601022Z there might have been a better spot to fuse the permutation other than 2025-08-14T21:16:46.5601187Z immediately before a convolution. 2025-08-14T21:16:46.5601316Z 2025-08-14T21:16:46.5601435Z Args: 2025-08-14T21:16:46.5601664Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2025-08-14T21:16:46.5601766Z ``nn.Module`` 2025-08-14T21:16:46.5601911Z memory_format: user specified ``memory_format``, 2025-08-14T21:16:46.5602098Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-14T21:16:46.5602181Z 2025-08-14T21:16:46.5602283Z Returns: 2025-08-14T21:16:46.5602423Z The original module with updated ``nn.Conv2d`` 2025-08-14T21:16:46.5602502Z 2025-08-14T21:16:46.5602628Z Example: 2025-08-14T21:16:46.5602763Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:46.5602915Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-14T21:16:46.5603032Z >>> input = torch.randint( 2025-08-14T21:16:46.5603183Z ... 1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda" 2025-08-14T21:16:46.5603262Z ... ) 2025-08-14T21:16:46.5603380Z >>> model = nn.Sequential( 2025-08-14T21:16:46.5603494Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2025-08-14T21:16:46.5603594Z >>> # This is identical to: 2025-08-14T21:16:46.5603841Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2025-08-14T21:16:46.5604001Z >>> model = nn.utils.convert_conv2d_weight_memory_format( 2025-08-14T21:16:46.5604123Z ... model, torch.channels_last 2025-08-14T21:16:46.5604204Z ... ) 2025-08-14T21:16:46.5604302Z >>> out = model(input) 2025-08-14T21:16:46.5604393Z 2025-08-14T21:16:46.5604642Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5604719Z 2025-08-14T21:16:46.5604823Z warnings.warn(msg) 2025-08-14T21:16:46.5604900Z 2025-08-14T21:16:46.5605163Z --- Parse Warning: 114 / 146 --- 2025-08-14T21:16:46.5606136Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=93. 2025-08-14T21:16:46.5606423Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5606637Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2025-08-14T21:16:46.5606900Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-08-14T21:16:46.5607163Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-08-14T21:16:46.5607421Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-08-14T21:16:46.5607715Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-08-14T21:16:46.5607810Z 2025-08-14T21:16:46.5607895Z .. note:: 2025-08-14T21:16:46.5608134Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2025-08-14T21:16:46.5608360Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2025-08-14T21:16:46.5608559Z layer with 4d weight will be affected by ``model.to``, which does not 2025-08-14T21:16:46.5608772Z necessarily benefit from conversion to specified ``memory_format``. 2025-08-14T21:16:46.5609012Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2025-08-14T21:16:46.5609229Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2025-08-14T21:16:46.5609438Z even in cases where we have to apply permutation to input tensors. 2025-08-14T21:16:46.5609517Z 2025-08-14T21:16:46.5609732Z Hence our strategy here is to convert only the weight of convolution to 2025-08-14T21:16:46.5609868Z channels_last_3d. This ensures that; 2025-08-14T21:16:46.5610076Z 1. Fast convolution kernels will be used, the benefit of which could 2025-08-14T21:16:46.5610298Z outweigh overhead of permutation (if input is not in the same format). 2025-08-14T21:16:46.5610538Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-08-14T21:16:46.5610646Z from memory_format conversion. 2025-08-14T21:16:46.5610739Z 2025-08-14T21:16:46.5610953Z The optimal case is that, layers between convolution layers are channels 2025-08-14T21:16:46.5611585Z last compatible. Input tensor would be permuted to channels last when it 2025-08-14T21:16:46.5611827Z encounters the first convolution layer and stay in that memory format. 2025-08-14T21:16:46.5612055Z Hence following convolutions will not need to permute its input tensor. 2025-08-14T21:16:46.5616882Z 2025-08-14T21:16:46.5617183Z In case where a channels last incompatible layer is between convolution 2025-08-14T21:16:46.5617401Z layers, we need to permute the input tensor back to contiguous format 2025-08-14T21:16:46.5617621Z for that layer. The input tensor will go through the remaining layers in 2025-08-14T21:16:46.5617852Z contiguous format and be permuted to channels last when it encounters 2025-08-14T21:16:46.5618057Z another convolution layer. There's no point in propagating that 2025-08-14T21:16:46.5618281Z permutation to an earlier layer, as most layers are quite agnostic to 2025-08-14T21:16:46.5618381Z ``memory_format``. 2025-08-14T21:16:46.5618459Z 2025-08-14T21:16:46.5618703Z This claim might change when PyTorch supports fusion of permutation, as 2025-08-14T21:16:46.5618916Z there might have been a better spot to fuse the permutation other than 2025-08-14T21:16:46.5619147Z immediately before a convolution. 2025-08-14T21:16:46.5619243Z 2025-08-14T21:16:46.5619413Z Args: 2025-08-14T21:16:46.5619624Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2025-08-14T21:16:46.5619741Z ``nn.Module`` 2025-08-14T21:16:46.5619889Z memory_format: user specified ``memory_format``, 2025-08-14T21:16:46.5620082Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-08-14T21:16:46.5620164Z 2025-08-14T21:16:46.5620248Z Returns: 2025-08-14T21:16:46.5620401Z The original module with updated ``nn.Conv3d`` 2025-08-14T21:16:46.5620484Z 2025-08-14T21:16:46.5620569Z Example: 2025-08-14T21:16:46.5620719Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-08-14T21:16:46.5620870Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-08-14T21:16:46.5620976Z >>> input = torch.randint( 2025-08-14T21:16:46.5621147Z ... 1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda" 2025-08-14T21:16:46.5621232Z ... ) 2025-08-14T21:16:46.5621350Z >>> model = nn.Sequential( 2025-08-14T21:16:46.5621466Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2025-08-14T21:16:46.5621572Z >>> # This is identical to: 2025-08-14T21:16:46.5621837Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2025-08-14T21:16:46.5621998Z >>> model = nn.utils.convert_conv3d_weight_memory_format( 2025-08-14T21:16:46.5622116Z ... model, torch.channels_last_3d 2025-08-14T21:16:46.5622215Z ... ) 2025-08-14T21:16:46.5622312Z >>> out = model(input) 2025-08-14T21:16:46.5622394Z 2025-08-14T21:16:46.5622651Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5622733Z 2025-08-14T21:16:46.5622841Z warnings.warn(msg) 2025-08-14T21:16:46.5622925Z 2025-08-14T21:16:46.5623187Z --- Parse Warning: 115 / 146 --- 2025-08-14T21:16:46.5624129Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=424. 2025-08-14T21:16:46.5624383Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5624537Z Register a parametrization to a tensor in a module. 2025-08-14T21:16:46.5624632Z 2025-08-14T21:16:46.5624938Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-08-14T21:16:46.5625223Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-08-14T21:16:46.5625482Z If the original tensor requires a gradient, the backward pass will differentiate 2025-08-14T21:16:46.5625878Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-08-14T21:16:46.5625978Z 2025-08-14T21:16:46.5626280Z The first time that a module registers a parametrization, this function will add an attribute 2025-08-14T21:16:46.5626515Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-08-14T21:16:46.5626609Z 2025-08-14T21:16:46.5626853Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-08-14T21:16:46.5626994Z ``module.parametrizations.weight``. 2025-08-14T21:16:46.5627075Z 2025-08-14T21:16:46.5627212Z The original tensor will be accessible under 2025-08-14T21:16:46.5627381Z ``module.parametrizations.weight.original``. 2025-08-14T21:16:46.5627462Z 2025-08-14T21:16:46.5627720Z Parametrizations may be concatenated by registering several parametrizations 2025-08-14T21:16:46.5627834Z on the same attribute. 2025-08-14T21:16:46.5627911Z 2025-08-14T21:16:46.5628216Z The training mode of a registered parametrization is updated on registration 2025-08-14T21:16:46.5628386Z to match the training mode of the host module 2025-08-14T21:16:46.5628464Z 2025-08-14T21:16:46.5628771Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-08-14T21:16:46.5628897Z using the context manager :func:`cached`. 2025-08-14T21:16:46.5628974Z 2025-08-14T21:16:46.5629219Z A :attr:`parametrization` may optionally implement a method with signature 2025-08-14T21:16:46.5629300Z 2025-08-14T21:16:46.5629411Z .. code-block:: python 2025-08-14T21:16:46.5629505Z 2025-08-14T21:16:46.5629721Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-08-14T21:16:46.5629799Z 2025-08-14T21:16:46.5630066Z This method is called on the unparametrized tensor when the first parametrization 2025-08-14T21:16:46.5630267Z is registered to compute the initial value of the original tensor. 2025-08-14T21:16:46.5630580Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-08-14T21:16:46.5630659Z 2025-08-14T21:16:46.5630956Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-08-14T21:16:46.5631247Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-08-14T21:16:46.5631324Z 2025-08-14T21:16:46.5631544Z It is possible for the first parametrization to depend on several inputs. 2025-08-14T21:16:46.5631793Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-08-14T21:16:46.5632022Z (see the example implementation of a ``RankOne`` parametrization below). 2025-08-14T21:16:46.5632113Z 2025-08-14T21:16:46.5632435Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-08-14T21:16:46.5632565Z with names ``original0``, ``original1``,... 2025-08-14T21:16:46.5632659Z 2025-08-14T21:16:46.5632750Z .. note:: 2025-08-14T21:16:46.5632828Z 2025-08-14T21:16:46.5633098Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-08-14T21:16:46.5633246Z once to perform a number of consistency checks. 2025-08-14T21:16:46.5633504Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-08-14T21:16:46.5633641Z and nothing will be called otherwise. 2025-08-14T21:16:46.5633720Z 2025-08-14T21:16:46.5633815Z .. note:: 2025-08-14T21:16:46.5633925Z 2025-08-14T21:16:46.5634123Z In most situations, ``right_inverse`` will be a function such that 2025-08-14T21:16:46.5634253Z ``forward(right_inverse(X)) == X`` (see 2025-08-14T21:16:46.5634537Z `right inverse `_). 2025-08-14T21:16:46.5634784Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-08-14T21:16:46.5634891Z to relax this. 2025-08-14T21:16:46.5634969Z 2025-08-14T21:16:46.5635055Z .. warning:: 2025-08-14T21:16:46.5635147Z 2025-08-14T21:16:46.5635410Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-08-14T21:16:46.5635672Z will register a number of new parameters. If such parametrization is registered 2025-08-14T21:16:46.5635932Z after the optimizer is created, these new parameters will need to be added manually 2025-08-14T21:16:46.5636127Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-08-14T21:16:46.5636222Z 2025-08-14T21:16:46.5636307Z Args: 2025-08-14T21:16:46.5636511Z module (nn.Module): module on which to register the parametrization 2025-08-14T21:16:46.5636730Z tensor_name (str): name of the parameter or buffer on which to register 2025-08-14T21:16:46.5636893Z the parametrization 2025-08-14T21:16:46.5637129Z parametrization (nn.Module): the parametrization to register 2025-08-14T21:16:46.5637220Z Keyword args: 2025-08-14T21:16:46.5637433Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-08-14T21:16:46.5637632Z may change the dtype and shape of the tensor. Default: `False` 2025-08-14T21:16:46.5637892Z Warning: the parametrization is not checked for consistency upon registration. 2025-08-14T21:16:46.5638010Z Enable this flag at your own risk. 2025-08-14T21:16:46.5638103Z 2025-08-14T21:16:46.5638187Z Raises: 2025-08-14T21:16:46.5638462Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-08-14T21:16:46.5638553Z 2025-08-14T21:16:46.5638639Z Examples: 2025-08-14T21:16:46.5638800Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-08-14T21:16:46.5638901Z >>> import torch 2025-08-14T21:16:46.5639008Z >>> import torch.nn as nn 2025-08-14T21:16:46.5639158Z >>> import torch.nn.utils.parametrize as P 2025-08-14T21:16:46.5639242Z >>> 2025-08-14T21:16:46.5639354Z >>> class Symmetric(nn.Module): 2025-08-14T21:16:46.5639472Z >>> def forward(self, X): 2025-08-14T21:16:46.5639649Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-08-14T21:16:46.5639732Z >>> 2025-08-14T21:16:46.5639858Z >>> def right_inverse(self, A): 2025-08-14T21:16:46.5639960Z >>> return A.triu() 2025-08-14T21:16:46.5640055Z >>> 2025-08-14T21:16:46.5640152Z >>> m = nn.Linear(5, 5) 2025-08-14T21:16:46.5640317Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-08-14T21:16:46.5640561Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-08-14T21:16:46.5640651Z True 2025-08-14T21:16:46.5640751Z >>> A = torch.rand(5, 5) 2025-08-14T21:16:46.5640875Z >>> A = A + A.T # A is now symmetric 2025-08-14T21:16:46.5641067Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-08-14T21:16:46.5641192Z >>> print(torch.allclose(m.weight, A)) 2025-08-14T21:16:46.5641295Z True 2025-08-14T21:16:46.5641376Z 2025-08-14T21:16:46.5641497Z >>> class RankOne(nn.Module): 2025-08-14T21:16:46.5641604Z >>> def forward(self, x, y): 2025-08-14T21:16:46.5641779Z >>> # Form a rank 1 matrix multiplying two vectors 2025-08-14T21:16:46.5641928Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-08-14T21:16:46.5642008Z >>> 2025-08-14T21:16:46.5642117Z >>> def right_inverse(self, Z): 2025-08-14T21:16:46.5642252Z >>> # Project Z onto the rank 1 matrices 2025-08-14T21:16:46.5642409Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-08-14T21:16:46.5642528Z >>> # Return rescaled singular vectors 2025-08-14T21:16:46.5642670Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-08-14T21:16:46.5642816Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-08-14T21:16:46.5642911Z >>> 2025-08-14T21:16:46.5643056Z >>> linear_rank_one = P.register_parametrization( 2025-08-14T21:16:46.5643177Z ... nn.Linear(4, 4), "weight", RankOne() 2025-08-14T21:16:46.5643273Z ... ) 2025-08-14T21:16:46.5643473Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-08-14T21:16:46.5643555Z 1 2025-08-14T21:16:46.5643650Z 2025-08-14T21:16:46.5643732Z 2025-08-14T21:16:46.5643978Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5644102Z 2025-08-14T21:16:46.5644243Z warnings.warn(msg) 2025-08-14T21:16:46.5644337Z 2025-08-14T21:16:46.5644605Z --- Parse Warning: 116 / 146 --- 2025-08-14T21:16:46.5645445Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=979. 2025-08-14T21:16:46.5645712Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5646012Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2025-08-14T21:16:46.5646090Z 2025-08-14T21:16:46.5646336Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2025-08-14T21:16:46.5646553Z by removing the specified ``amount`` of (currently unpruned) channels 2025-08-14T21:16:46.5646744Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2025-08-14T21:16:46.5646940Z Modifies module in place (and also return the modified module) 2025-08-14T21:16:46.5647025Z by: 2025-08-14T21:16:46.5647121Z 2025-08-14T21:16:46.5647320Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-14T21:16:46.5647529Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-14T21:16:46.5647741Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-14T21:16:46.5647940Z original (unpruned) parameter is stored in a new parameter named 2025-08-14T21:16:46.5648049Z ``name+'_orig'``. 2025-08-14T21:16:46.5648129Z 2025-08-14T21:16:46.5648213Z Args: 2025-08-14T21:16:46.5648403Z module (nn.Module): module containing the tensor to prune 2025-08-14T21:16:46.5648580Z name (str): parameter name within ``module`` on which pruning 2025-08-14T21:16:46.5648672Z will act. 2025-08-14T21:16:46.5648853Z amount (int or float): quantity of parameters to prune. 2025-08-14T21:16:46.5649027Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-14T21:16:46.5649223Z fraction of parameters to prune. If ``int``, it represents the 2025-08-14T21:16:46.5649371Z absolute number of parameters to prune. 2025-08-14T21:16:46.5649560Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2025-08-14T21:16:46.5649726Z entries for argument ``p`` in :func:`torch.norm`. 2025-08-14T21:16:46.5649917Z dim (int): index of the dim along which we define channels to prune. 2025-08-14T21:16:46.5650180Z importance_scores (torch.Tensor): tensor of importance scores (of same 2025-08-14T21:16:46.5650374Z shape as module parameter) used to compute mask for pruning. 2025-08-14T21:16:46.5650589Z The values in this tensor indicate the importance of the corresponding 2025-08-14T21:16:46.5650722Z elements in the parameter being pruned. 2025-08-14T21:16:46.5650952Z If unspecified or None, the module parameter will be used in its place. 2025-08-14T21:16:46.5651034Z 2025-08-14T21:16:46.5651132Z Returns: 2025-08-14T21:16:46.5651341Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-14T21:16:46.5651420Z 2025-08-14T21:16:46.5651520Z Examples: 2025-08-14T21:16:46.5651637Z >>> from torch.nn.utils import prune 2025-08-14T21:16:46.5651745Z >>> m = prune.ln_structured( 2025-08-14T21:16:46.5651943Z ... nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf") 2025-08-14T21:16:46.5652029Z ... ) 2025-08-14T21:16:46.5652111Z 2025-08-14T21:16:46.5652370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5652449Z 2025-08-14T21:16:46.5652559Z warnings.warn(msg) 2025-08-14T21:16:46.5652671Z 2025-08-14T21:16:46.5652911Z --- Parse Warning: 117 / 146 --- 2025-08-14T21:16:46.5653816Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1026. 2025-08-14T21:16:46.5654067Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5654147Z 2025-08-14T21:16:46.5654576Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2025-08-14T21:16:46.5654655Z 2025-08-14T21:16:46.5654781Z Modifies modules in place by: 2025-08-14T21:16:46.5654861Z 2025-08-14T21:16:46.5655069Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-14T21:16:46.5655294Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-14T21:16:46.5655498Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-14T21:16:46.5655700Z original (unpruned) parameter is stored in a new parameter named 2025-08-14T21:16:46.5655807Z ``name+'_orig'``. 2025-08-14T21:16:46.5655886Z 2025-08-14T21:16:46.5655969Z Args: 2025-08-14T21:16:46.5656175Z parameters (Iterable of (module, name) tuples): parameters of 2025-08-14T21:16:46.5656360Z the model to prune in a global fashion, i.e. by aggregating all 2025-08-14T21:16:46.5656576Z weights prior to deciding which ones to prune. module must be of 2025-08-14T21:16:46.5656726Z type :class:`nn.Module`, and name must be a string. 2025-08-14T21:16:46.5656940Z pruning_method (function): a valid pruning function from this module, 2025-08-14T21:16:46.5657124Z or a custom one implemented by the user that satisfies the 2025-08-14T21:16:46.5657343Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2025-08-14T21:16:46.5657572Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2025-08-14T21:16:46.5657800Z the corresponding parameter's importance scores tensor. The tensor 2025-08-14T21:16:46.5657999Z should be the same shape as the parameter, and is used for computing 2025-08-14T21:16:46.5658112Z mask for pruning. 2025-08-14T21:16:46.5658309Z If unspecified or None, the parameter will be used in place of its 2025-08-14T21:16:46.5658407Z importance scores. 2025-08-14T21:16:46.5658544Z kwargs: other keyword arguments such as: 2025-08-14T21:16:46.5658764Z amount (int or float): quantity of parameters to prune across the 2025-08-14T21:16:46.5658868Z specified parameters. 2025-08-14T21:16:46.5659048Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-08-14T21:16:46.5659240Z fraction of parameters to prune. If ``int``, it represents the 2025-08-14T21:16:46.5659382Z absolute number of parameters to prune. 2025-08-14T21:16:46.5659462Z 2025-08-14T21:16:46.5659548Z Raises: 2025-08-14T21:16:46.5659699Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2025-08-14T21:16:46.5659785Z 2025-08-14T21:16:46.5659879Z Note: 2025-08-14T21:16:46.5660085Z Since global structured pruning doesn't make much sense unless the 2025-08-14T21:16:46.5660285Z norm is normalized by the size of the parameter, we now limit the 2025-08-14T21:16:46.5660429Z scope of global pruning to unstructured methods. 2025-08-14T21:16:46.5660505Z 2025-08-14T21:16:46.5660603Z Examples: 2025-08-14T21:16:46.5660720Z >>> from torch.nn.utils import prune 2025-08-14T21:16:46.5660839Z >>> from collections import OrderedDict 2025-08-14T21:16:46.5660949Z >>> net = nn.Sequential( 2025-08-14T21:16:46.5661039Z ... OrderedDict( 2025-08-14T21:16:46.5661121Z ... [ 2025-08-14T21:16:46.5661249Z ... ("first", nn.Linear(10, 4)), 2025-08-14T21:16:46.5661419Z ... ("second", nn.Linear(4, 1)), 2025-08-14T21:16:46.5661537Z ... ] 2025-08-14T21:16:46.5661618Z ... ) 2025-08-14T21:16:46.5661695Z ... ) 2025-08-14T21:16:46.5661809Z >>> parameters_to_prune = ( 2025-08-14T21:16:46.5661908Z ... (net.first, "weight"), 2025-08-14T21:16:46.5662006Z ... (net.second, "weight"), 2025-08-14T21:16:46.5662098Z ... ) 2025-08-14T21:16:46.5662205Z >>> prune.global_unstructured( 2025-08-14T21:16:46.5662304Z ... parameters_to_prune, 2025-08-14T21:16:46.5662447Z ... pruning_method=prune.L1Unstructured, 2025-08-14T21:16:46.5662535Z ... amount=10, 2025-08-14T21:16:46.5662614Z ... ) 2025-08-14T21:16:46.5662837Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2025-08-14T21:16:46.5662921Z tensor(10) 2025-08-14T21:16:46.5663010Z 2025-08-14T21:16:46.5663089Z 2025-08-14T21:16:46.5663336Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5663428Z 2025-08-14T21:16:46.5663522Z warnings.warn(msg) 2025-08-14T21:16:46.5663598Z 2025-08-14T21:16:46.5663809Z --- Parse Warning: 118 / 146 --- 2025-08-14T21:16:46.5664653Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1149. 2025-08-14T21:16:46.5664905Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5665294Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2025-08-14T21:16:46.5665371Z 2025-08-14T21:16:46.5665590Z Modifies module in place (and also return the modified module) by: 2025-08-14T21:16:46.5665772Z 2025-08-14T21:16:46.5665985Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-08-14T21:16:46.5666208Z binary mask applied to the parameter ``name`` by the pruning method. 2025-08-14T21:16:46.5666409Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-08-14T21:16:46.5666608Z original (unpruned) parameter is stored in a new parameter named 2025-08-14T21:16:46.5666713Z ``name+'_orig'``. 2025-08-14T21:16:46.5666789Z 2025-08-14T21:16:46.5666885Z Args: 2025-08-14T21:16:46.5667054Z module (nn.Module): module containing the tensor to prune 2025-08-14T21:16:46.5667271Z name (str): parameter name within ``module`` on which pruning 2025-08-14T21:16:46.5667372Z will act. 2025-08-14T21:16:46.5667543Z mask (Tensor): binary mask to be applied to the parameter. 2025-08-14T21:16:46.5667620Z 2025-08-14T21:16:46.5667715Z Returns: 2025-08-14T21:16:46.5667929Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-08-14T21:16:46.5668009Z 2025-08-14T21:16:46.5668107Z Examples: 2025-08-14T21:16:46.5668224Z >>> from torch.nn.utils import prune 2025-08-14T21:16:46.5668331Z >>> m = prune.custom_from_mask( 2025-08-14T21:16:46.5668509Z ... nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0]) 2025-08-14T21:16:46.5668590Z ... ) 2025-08-14T21:16:46.5668698Z >>> print(m.bias_mask) 2025-08-14T21:16:46.5668790Z tensor([0., 1., 0.]) 2025-08-14T21:16:46.5668867Z 2025-08-14T21:16:46.5668959Z 2025-08-14T21:16:46.5669203Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5669281Z 2025-08-14T21:16:46.5669391Z warnings.warn(msg) 2025-08-14T21:16:46.5669467Z 2025-08-14T21:16:46.5669667Z --- Parse Warning: 119 / 146 --- 2025-08-14T21:16:46.5670565Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py line=350. 2025-08-14T21:16:46.5670867Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5671020Z Pad a packed batch of variable length sequences. 2025-08-14T21:16:46.5671097Z 2025-08-14T21:16:46.5671267Z It is an inverse operation to :func:`pack_padded_sequence`. 2025-08-14T21:16:46.5671357Z 2025-08-14T21:16:46.5671626Z The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``) 2025-08-14T21:16:46.5671857Z or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest 2025-08-14T21:16:46.5671985Z sequence and ``B`` is the batch size. 2025-08-14T21:16:46.5672064Z 2025-08-14T21:16:46.5672158Z Example: 2025-08-14T21:16:46.5672393Z >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence 2025-08-14T21:16:46.5672537Z >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]]) 2025-08-14T21:16:46.5672645Z >>> lens = [2, 1, 3] 2025-08-14T21:16:46.5672758Z >>> packed = pack_padded_sequence( 2025-08-14T21:16:46.5672905Z ... seq, lens, batch_first=True, enforce_sorted=False 2025-08-14T21:16:46.5672999Z ... ) 2025-08-14T21:16:46.5673084Z >>> packed 2025-08-14T21:16:46.5673318Z PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]), 2025-08-14T21:16:46.5673544Z sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0])) 2025-08-14T21:16:46.5673779Z >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True) 2025-08-14T21:16:46.5673888Z >>> seq_unpacked 2025-08-14T21:16:46.5673980Z tensor([[1, 2, 0], 2025-08-14T21:16:46.5674072Z [3, 0, 0], 2025-08-14T21:16:46.5674172Z [4, 5, 6]]) 2025-08-14T21:16:46.5674269Z >>> lens_unpacked 2025-08-14T21:16:46.5674358Z tensor([2, 1, 3]) 2025-08-14T21:16:46.5674453Z 2025-08-14T21:16:46.5674544Z .. note:: 2025-08-14T21:16:46.5674686Z :attr:`total_length` is useful to implement the 2025-08-14T21:16:46.5674913Z ``pack sequence -> recurrent network -> unpack sequence`` pattern in a 2025-08-14T21:16:46.5675122Z :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`. 2025-08-14T21:16:46.5675396Z See :ref:`this FAQ section ` for 2025-08-14T21:16:46.5675479Z details. 2025-08-14T21:16:46.5675557Z 2025-08-14T21:16:46.5675647Z Args: 2025-08-14T21:16:46.5675774Z sequence (PackedSequence): batch to pad 2025-08-14T21:16:46.5676202Z batch_first (bool, optional): if ``True``, the output will be in ``B x T x *`` 2025-08-14T21:16:46.5676334Z format, ``T x B x *`` otherwise. 2025-08-14T21:16:46.5676520Z padding_value (float, optional): values for padded elements. 2025-08-14T21:16:46.5676756Z total_length (int, optional): if not ``None``, the output will be padded to 2025-08-14T21:16:46.5676985Z have length :attr:`total_length`. This method will throw :class:`ValueError` 2025-08-14T21:16:46.5677165Z if :attr:`total_length` is less than the max sequence length in 2025-08-14T21:16:46.5677278Z :attr:`sequence`. 2025-08-14T21:16:46.5677370Z 2025-08-14T21:16:46.5677471Z Returns: 2025-08-14T21:16:46.5677652Z Tuple of Tensor containing the padded sequence, and a Tensor 2025-08-14T21:16:46.5677842Z containing the list of lengths of each sequence in the batch. 2025-08-14T21:16:46.5678072Z Batch elements will be re-ordered as they were ordered originally when 2025-08-14T21:16:46.5678415Z the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``. 2025-08-14T21:16:46.5678537Z 2025-08-14T21:16:46.5678796Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5678875Z 2025-08-14T21:16:46.5678971Z warnings.warn(msg) 2025-08-14T21:16:46.5679066Z 2025-08-14T21:16:46.5679269Z --- Parse Warning: 120 / 146 --- 2025-08-14T21:16:46.5680142Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=808. 2025-08-14T21:16:46.5680397Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5680713Z Contains a list of schedulers expected to be called sequentially during the optimization process. 2025-08-14T21:16:46.5680808Z 2025-08-14T21:16:46.5681166Z Specifically, the schedulers will be called according to the milestone points, which should provide exact 2025-08-14T21:16:46.5681391Z intervals by which each scheduler should be called at a given epoch. 2025-08-14T21:16:46.5681471Z 2025-08-14T21:16:46.5681553Z Args: 2025-08-14T21:16:46.5681700Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:46.5681842Z schedulers (list): List of chained schedulers. 2025-08-14T21:16:46.5682051Z milestones (list): List of integers that reflects milestone points. 2025-08-14T21:16:46.5682228Z last_epoch (int): The index of last epoch. Default: -1. 2025-08-14T21:16:46.5682311Z 2025-08-14T21:16:46.5682400Z Example: 2025-08-14T21:16:46.5682515Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5682663Z >>> # Assuming optimizer uses lr = 0.05 for all groups 2025-08-14T21:16:46.5682782Z >>> # lr = 0.005 if epoch == 0 2025-08-14T21:16:46.5682886Z >>> # lr = 0.005 if epoch == 1 2025-08-14T21:16:46.5682991Z >>> # lr = 0.005 if epoch == 2 2025-08-14T21:16:46.5683094Z >>> # ... 2025-08-14T21:16:46.5683198Z >>> # lr = 0.05 if epoch == 20 2025-08-14T21:16:46.5683300Z >>> # lr = 0.045 if epoch == 21 2025-08-14T21:16:46.5683418Z >>> # lr = 0.0405 if epoch == 22 2025-08-14T21:16:46.5683613Z >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20) 2025-08-14T21:16:46.5683772Z >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9) 2025-08-14T21:16:46.5683894Z >>> scheduler = SequentialLR( 2025-08-14T21:16:46.5684032Z ... optimizer, 2025-08-14T21:16:46.5684178Z ... schedulers=[scheduler1, scheduler2], 2025-08-14T21:16:46.5684277Z ... milestones=[20], 2025-08-14T21:16:46.5684359Z ... ) 2025-08-14T21:16:46.5684479Z >>> for epoch in range(100): 2025-08-14T21:16:46.5684571Z >>> train(...) 2025-08-14T21:16:46.5684666Z >>> validate(...) 2025-08-14T21:16:46.5684781Z >>> scheduler.step() 2025-08-14T21:16:46.5684857Z 2025-08-14T21:16:46.5685030Z .. image:: ../scripts/lr_scheduler_images/SequentialLR.png 2025-08-14T21:16:46.5685122Z 2025-08-14T21:16:46.5685362Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5685439Z 2025-08-14T21:16:46.5685545Z warnings.warn(msg) 2025-08-14T21:16:46.5685622Z 2025-08-14T21:16:46.5685822Z --- Parse Warning: 121 / 146 --- 2025-08-14T21:16:46.5686707Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-08-14T21:16:46.5686943Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-08-14T21:16:46.5687197Z Reduce learning rate when a metric has stopped improving. 2025-08-14T21:16:46.5687298Z 2025-08-14T21:16:46.5687492Z Models often benefit from reducing the learning rate by a factor 2025-08-14T21:16:46.5687681Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-08-14T21:16:46.5687866Z quantity and if no improvement is seen for a 'patience' number 2025-08-14T21:16:46.5687999Z of epochs, the learning rate is reduced. 2025-08-14T21:16:46.5688076Z 2025-08-14T21:16:46.5688155Z Args: 2025-08-14T21:16:46.5688299Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:46.5688452Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-08-14T21:16:46.5688606Z be reduced when the quantity monitored has stopped 2025-08-14T21:16:46.5688775Z decreasing; in `max` mode it will be reduced when the 2025-08-14T21:16:46.5688961Z quantity monitored has stopped increasing. Default: 'min'. 2025-08-14T21:16:46.5689144Z factor (float): Factor by which the learning rate will be 2025-08-14T21:16:46.5689281Z reduced. new_lr = lr * factor. Default: 0.1. 2025-08-14T21:16:46.5689490Z patience (int): The number of allowed epochs with no improvement after 2025-08-14T21:16:46.5689628Z which the learning rate will be reduced. 2025-08-14T21:16:46.5689847Z For example, consider the case of having no patience (`patience = 0`). 2025-08-14T21:16:46.5690194Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-08-14T21:16:46.5690410Z In the second epoch, if the performance is worse than the baseline, 2025-08-14T21:16:46.5690557Z we have what is considered an intolerable epoch. 2025-08-14T21:16:46.5690820Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-08-14T21:16:46.5690988Z the learning rate is reduced at the end of this epoch. 2025-08-14T21:16:46.5691298Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-08-14T21:16:46.5691609Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-08-14T21:16:46.5691727Z the learning rate is not adjusted. 2025-08-14T21:16:46.5691817Z Default: 10. 2025-08-14T21:16:46.5692013Z threshold (float): Threshold for measuring the new optimum, 2025-08-14T21:16:46.5692199Z to only focus on significant changes. Default: 1e-4. 2025-08-14T21:16:46.5692379Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-08-14T21:16:46.5692530Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-08-14T21:16:46.5692668Z mode or best * ( 1 - threshold ) in `min` mode. 2025-08-14T21:16:46.5692838Z In `abs` mode, dynamic_threshold = best + threshold in 2025-08-14T21:16:46.5693011Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-08-14T21:16:46.5693173Z cooldown (int): Number of epochs to wait before resuming 2025-08-14T21:16:46.5693354Z normal operation after lr has been reduced. Default: 0. 2025-08-14T21:16:46.5693512Z min_lr (float or list): A scalar or a list of scalars. A 2025-08-14T21:16:46.5693680Z lower bound on the learning rate of all param groups 2025-08-14T21:16:46.5693809Z or each group respectively. Default: 0. 2025-08-14T21:16:46.5693980Z eps (float): Minimal decay applied to lr. If the difference 2025-08-14T21:16:46.5694165Z between new and old lr is smaller than eps, the update is 2025-08-14T21:16:46.5694268Z ignored. Default: 1e-8. 2025-08-14T21:16:46.5694347Z 2025-08-14T21:16:46.5694443Z Example: 2025-08-14T21:16:46.5694595Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5694829Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-14T21:16:46.5695006Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-08-14T21:16:46.5695108Z >>> for epoch in range(10): 2025-08-14T21:16:46.5695211Z >>> train(...) 2025-08-14T21:16:46.5695317Z >>> val_loss = validate(...) 2025-08-14T21:16:46.5695463Z >>> # Note that step should be called after validate() 2025-08-14T21:16:46.5695586Z >>> scheduler.step(val_loss) 2025-08-14T21:16:46.5695663Z 2025-08-14T21:16:46.5695854Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-08-14T21:16:46.5695944Z 2025-08-14T21:16:46.5696338Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-08-14T21:16:46.5696428Z 2025-08-14T21:16:46.5696534Z scheduler.step(val_loss) 2025-08-14T21:16:46.5696614Z ^ 2025-08-14T21:16:46.5696722Z warnings.warn(msg) 2025-08-14T21:16:46.5696798Z 2025-08-14T21:16:46.5696996Z --- Parse Warning: 122 / 146 --- 2025-08-14T21:16:46.5697840Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1430. 2025-08-14T21:16:46.5698087Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5698411Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). 2025-08-14T21:16:46.5698488Z 2025-08-14T21:16:46.5698758Z The policy cycles the learning rate between two boundaries with a constant frequency, 2025-08-14T21:16:46.5699026Z as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_. 2025-08-14T21:16:46.5699251Z The distance between the two boundaries can be scaled on a per-iteration 2025-08-14T21:16:46.5699350Z or per-cycle basis. 2025-08-14T21:16:46.5699442Z 2025-08-14T21:16:46.5699676Z Cyclical learning rate policy changes the learning rate after every batch. 2025-08-14T21:16:46.5699865Z `step` should be called after a batch has been used for training. 2025-08-14T21:16:46.5699959Z 2025-08-14T21:16:46.5700161Z This class has three built-in policies, as put forth in the paper: 2025-08-14T21:16:46.5700250Z 2025-08-14T21:16:46.5700447Z * "triangular": A basic triangular cycle without amplitude scaling. 2025-08-14T21:16:46.5700762Z * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle. 2025-08-14T21:16:46.5701088Z * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}` 2025-08-14T21:16:46.5701189Z at each cycle iteration. 2025-08-14T21:16:46.5701270Z 2025-08-14T21:16:46.5701513Z This implementation was adapted from the github repo: `bckenstler/CLR`_ 2025-08-14T21:16:46.5701593Z 2025-08-14T21:16:46.5701685Z Args: 2025-08-14T21:16:46.5701816Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:46.5701987Z base_lr (float or list): Initial learning rate which is the 2025-08-14T21:16:46.5702162Z lower boundary in the cycle for each parameter group. 2025-08-14T21:16:46.5702350Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-14T21:16:46.5702481Z for each parameter group. Functionally, 2025-08-14T21:16:46.5702644Z it defines the cycle amplitude (max_lr - base_lr). 2025-08-14T21:16:46.5702768Z The lr at any cycle is the sum of base_lr 2025-08-14T21:16:46.5702904Z and some scaling of the amplitude; therefore 2025-08-14T21:16:46.5703056Z max_lr may not actually be reached depending on 2025-08-14T21:16:46.5703211Z scaling function. 2025-08-14T21:16:46.5703411Z step_size_up (int): Number of training iterations in the 2025-08-14T21:16:46.5703537Z increasing half of a cycle. Default: 2000 2025-08-14T21:16:46.5703705Z step_size_down (int): Number of training iterations in the 2025-08-14T21:16:46.5703878Z decreasing half of a cycle. If step_size_down is None, 2025-08-14T21:16:46.5704000Z it is set to step_size_up. Default: None 2025-08-14T21:16:46.5704161Z mode (str): One of {triangular, triangular2, exp_range}. 2025-08-14T21:16:46.5704316Z Values correspond to policies detailed above. 2025-08-14T21:16:46.5704463Z If scale_fn is not None, this argument is ignored. 2025-08-14T21:16:46.5704581Z Default: 'triangular' 2025-08-14T21:16:46.5704743Z gamma (float): Constant in 'exp_range' scaling function: 2025-08-14T21:16:46.5704853Z gamma**(cycle iterations) 2025-08-14T21:16:46.5704961Z Default: 1.0 2025-08-14T21:16:46.5705149Z scale_fn (function): Custom scaling policy defined by a single 2025-08-14T21:16:46.5705263Z argument lambda function, where 2025-08-14T21:16:46.5705389Z 0 <= scale_fn(x) <= 1 for all x >= 0. 2025-08-14T21:16:46.5705510Z If specified, then 'mode' is ignored. 2025-08-14T21:16:46.5705615Z Default: None 2025-08-14T21:16:46.5705855Z scale_mode (str): {'cycle', 'iterations'}. 2025-08-14T21:16:46.5705992Z Defines whether scale_fn is evaluated on 2025-08-14T21:16:46.5706135Z cycle number or cycle iterations (training 2025-08-14T21:16:46.5706252Z iterations since start of cycle). 2025-08-14T21:16:46.5706346Z Default: 'cycle' 2025-08-14T21:16:46.5706548Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-14T21:16:46.5706732Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-14T21:16:46.5706827Z Default: True 2025-08-14T21:16:46.5707045Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-14T21:16:46.5707242Z for each parameter group. Note that momentum is cycled inversely 2025-08-14T21:16:46.5707410Z to learning rate; at the peak of a cycle, momentum is 2025-08-14T21:16:46.5707547Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-14T21:16:46.5707638Z Default: 0.8 2025-08-14T21:16:46.5707890Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-14T21:16:46.5708018Z for each parameter group. Functionally, 2025-08-14T21:16:46.5708204Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-14T21:16:46.5708390Z The momentum at any cycle is the difference of max_momentum 2025-08-14T21:16:46.5708527Z and some scaling of the amplitude; therefore 2025-08-14T21:16:46.5708706Z base_momentum may not actually be reached depending on 2025-08-14T21:16:46.5708879Z scaling function. Note that momentum is cycled inversely 2025-08-14T21:16:46.5709083Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-14T21:16:46.5709207Z and learning rate is 'base_lr' 2025-08-14T21:16:46.5709299Z Default: 0.9 2025-08-14T21:16:46.5709512Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-14T21:16:46.5709736Z resuming a training job. Since `step()` should be invoked after each 2025-08-14T21:16:46.5709944Z batch instead of after each epoch, this number represents the total 2025-08-14T21:16:46.5710175Z number of *batches* computed, not the total number of epochs computed. 2025-08-14T21:16:46.5710415Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-14T21:16:46.5710533Z Default: -1 2025-08-14T21:16:46.5710626Z 2025-08-14T21:16:46.5710711Z Example: 2025-08-14T21:16:46.5710809Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5711043Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-08-14T21:16:46.5711194Z >>> scheduler = torch.optim.lr_scheduler.CyclicLR( 2025-08-14T21:16:46.5711289Z ... optimizer, 2025-08-14T21:16:46.5711394Z ... base_lr=0.01, 2025-08-14T21:16:46.5711484Z ... max_lr=0.1, 2025-08-14T21:16:46.5711596Z ... step_size_up=10, 2025-08-14T21:16:46.5711681Z ... ) 2025-08-14T21:16:46.5711832Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-14T21:16:46.5711949Z >>> for epoch in range(10): 2025-08-14T21:16:46.5712057Z >>> for batch in data_loader: 2025-08-14T21:16:46.5712161Z >>> train_batch(...) 2025-08-14T21:16:46.5712279Z >>> scheduler.step() 2025-08-14T21:16:46.5712357Z 2025-08-14T21:16:46.5712513Z .. image:: ../scripts/lr_scheduler_images/CyclicLR.png 2025-08-14T21:16:46.5712604Z 2025-08-14T21:16:46.5712899Z .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186 2025-08-14T21:16:46.5713074Z .. _bckenstler/CLR: https://github.com/bckenstler/CLR 2025-08-14T21:16:46.5713155Z 2025-08-14T21:16:46.5713397Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5713485Z 2025-08-14T21:16:46.5713579Z warnings.warn(msg) 2025-08-14T21:16:46.5713656Z 2025-08-14T21:16:46.5713886Z --- Parse Warning: 123 / 146 --- 2025-08-14T21:16:46.5714828Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1722. 2025-08-14T21:16:46.5715096Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5715342Z Set the learning rate of each parameter group using a cosine annealing schedule. 2025-08-14T21:16:46.5715419Z 2025-08-14T21:16:46.5715609Z The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}` 2025-08-14T21:16:46.5715835Z is the number of epochs since the last restart and :math:`T_{i}` is the number 2025-08-14T21:16:46.5716007Z of epochs between two warm restarts in SGDR: 2025-08-14T21:16:46.5716101Z 2025-08-14T21:16:46.5716187Z .. math:: 2025-08-14T21:16:46.5716359Z \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 + 2025-08-14T21:16:46.5716509Z \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right) 2025-08-14T21:16:46.5716590Z 2025-08-14T21:16:46.5716762Z When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`. 2025-08-14T21:16:46.5716943Z When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`. 2025-08-14T21:16:46.5717019Z 2025-08-14T21:16:46.5717128Z It has been proposed in 2025-08-14T21:16:46.5717295Z `SGDR: Stochastic Gradient Descent with Warm Restarts`_. 2025-08-14T21:16:46.5717371Z 2025-08-14T21:16:46.5717463Z Args: 2025-08-14T21:16:46.5717596Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:46.5717749Z T_0 (int): Number of iterations until the first restart. 2025-08-14T21:16:46.5718035Z T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1. 2025-08-14T21:16:46.5718215Z eta_min (float, optional): Minimum learning rate. Default: 0. 2025-08-14T21:16:46.5718430Z last_epoch (int, optional): The index of the last epoch. Default: -1. 2025-08-14T21:16:46.5718537Z 2025-08-14T21:16:46.5718728Z .. _SGDR\: Stochastic Gradient Descent with Warm Restarts: 2025-08-14T21:16:46.5718882Z https://arxiv.org/abs/1608.03983 2025-08-14T21:16:46.5718959Z 2025-08-14T21:16:46.5719042Z Example: 2025-08-14T21:16:46.5719152Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5719331Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05) 2025-08-14T21:16:46.5719557Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts( 2025-08-14T21:16:46.5719668Z ... optimizer, T_0=20 2025-08-14T21:16:46.5719749Z ... ) 2025-08-14T21:16:46.5719867Z >>> for epoch in range(100): 2025-08-14T21:16:46.5719960Z >>> train(...) 2025-08-14T21:16:46.5720053Z >>> validate(...) 2025-08-14T21:16:46.5720164Z >>> scheduler.step() 2025-08-14T21:16:46.5720243Z 2025-08-14T21:16:46.5720471Z .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png 2025-08-14T21:16:46.5720566Z 2025-08-14T21:16:46.5720805Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5720885Z 2025-08-14T21:16:46.5720992Z warnings.warn(msg) 2025-08-14T21:16:46.5721069Z 2025-08-14T21:16:46.5721275Z --- Parse Warning: 124 / 146 --- 2025-08-14T21:16:46.5722125Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1872. 2025-08-14T21:16:46.5722377Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5722677Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy. 2025-08-14T21:16:46.5722754Z 2025-08-14T21:16:46.5723035Z The 1cycle policy anneals the learning rate from an initial learning rate to some maximum 2025-08-14T21:16:46.5723327Z learning rate and then from that maximum learning rate to some minimum learning rate much 2025-08-14T21:16:46.5723445Z lower than the initial learning rate. 2025-08-14T21:16:46.5723670Z This policy was initially described in the paper `Super-Convergence: 2025-08-14T21:16:46.5723871Z Very Fast Training of Neural Networks Using Large Learning Rates`_. 2025-08-14T21:16:46.5723949Z 2025-08-14T21:16:46.5724194Z The 1cycle learning rate policy changes the learning rate after every batch. 2025-08-14T21:16:46.5724382Z `step` should be called after a batch has been used for training. 2025-08-14T21:16:46.5724491Z 2025-08-14T21:16:46.5724614Z This scheduler is not chainable. 2025-08-14T21:16:46.5724691Z 2025-08-14T21:16:46.5724932Z Note also that the total number of steps in the cycle can be determined in one 2025-08-14T21:16:46.5725064Z of two ways (listed in order of precedence): 2025-08-14T21:16:46.5725143Z 2025-08-14T21:16:46.5725306Z #. A value for total_steps is explicitly provided. 2025-08-14T21:16:46.5725484Z #. A number of epochs (epochs) and a number of steps per epoch 2025-08-14T21:16:46.5725594Z (steps_per_epoch) are provided. 2025-08-14T21:16:46.5725761Z In this case, the number of total steps is inferred by 2025-08-14T21:16:46.5725879Z total_steps = epochs * steps_per_epoch 2025-08-14T21:16:46.5725955Z 2025-08-14T21:16:46.5726194Z You must either provide a value for total_steps or provide a value for both 2025-08-14T21:16:46.5726297Z epochs and steps_per_epoch. 2025-08-14T21:16:46.5726391Z 2025-08-14T21:16:46.5726679Z The default behaviour of this scheduler follows the fastai implementation of 1cycle, which 2025-08-14T21:16:46.5726957Z claims that "unpublished work has shown even better results by using only two phases". To 2025-08-14T21:16:46.5727226Z mimic the behaviour of the original paper instead, set ``three_phase=True``. 2025-08-14T21:16:46.5727330Z 2025-08-14T21:16:46.5727435Z Args: 2025-08-14T21:16:46.5727579Z optimizer (Optimizer): Wrapped optimizer. 2025-08-14T21:16:46.5727768Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-08-14T21:16:46.5727873Z for each parameter group. 2025-08-14T21:16:46.5728082Z total_steps (int): The total number of steps in the cycle. Note that 2025-08-14T21:16:46.5728284Z if a value is not provided here, then it must be inferred by providing 2025-08-14T21:16:46.5728423Z a value for epochs and steps_per_epoch. 2025-08-14T21:16:46.5728515Z Default: None 2025-08-14T21:16:46.5728709Z epochs (int): The number of epochs to train for. This is used along 2025-08-14T21:16:46.5728955Z with steps_per_epoch in order to infer the total number of steps in the cycle 2025-08-14T21:16:46.5729092Z if a value for total_steps is not provided. 2025-08-14T21:16:46.5729183Z Default: None 2025-08-14T21:16:46.5729410Z steps_per_epoch (int): The number of steps per epoch to train for. This is 2025-08-14T21:16:46.5729629Z used along with epochs in order to infer the total number of steps in the 2025-08-14T21:16:46.5729789Z cycle if a value for total_steps is not provided. 2025-08-14T21:16:46.5729881Z Default: None 2025-08-14T21:16:46.5730098Z pct_start (float): The percentage of the cycle (in number of steps) spent 2025-08-14T21:16:46.5730221Z increasing the learning rate. 2025-08-14T21:16:46.5730313Z Default: 0.3 2025-08-14T21:16:46.5730434Z anneal_strategy (str): {'cos', 'linear'} 2025-08-14T21:16:46.5730684Z Specifies the annealing strategy: "cos" for cosine annealing, "linear" for 2025-08-14T21:16:46.5730780Z linear annealing. 2025-08-14T21:16:46.5730888Z Default: 'cos' 2025-08-14T21:16:46.5731075Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-08-14T21:16:46.5731255Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-08-14T21:16:46.5731361Z Default: True 2025-08-14T21:16:46.5731568Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-08-14T21:16:46.5731762Z for each parameter group. Note that momentum is cycled inversely 2025-08-14T21:16:46.5731928Z to learning rate; at the peak of a cycle, momentum is 2025-08-14T21:16:46.5732097Z 'base_momentum' and learning rate is 'max_lr'. 2025-08-14T21:16:46.5732202Z Default: 0.85 2025-08-14T21:16:46.5732403Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-08-14T21:16:46.5732530Z for each parameter group. Functionally, 2025-08-14T21:16:46.5732731Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-08-14T21:16:46.5732854Z Note that momentum is cycled inversely 2025-08-14T21:16:46.5733056Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-08-14T21:16:46.5733176Z and learning rate is 'base_lr' 2025-08-14T21:16:46.5733268Z Default: 0.95 2025-08-14T21:16:46.5733455Z div_factor (float): Determines the initial learning rate via 2025-08-14T21:16:46.5733563Z initial_lr = max_lr/div_factor 2025-08-14T21:16:46.5733652Z Default: 25 2025-08-14T21:16:46.5733862Z final_div_factor (float): Determines the minimum learning rate via 2025-08-14T21:16:46.5733980Z min_lr = initial_lr/final_div_factor 2025-08-14T21:16:46.5734070Z Default: 1e4 2025-08-14T21:16:46.5734317Z three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the 2025-08-14T21:16:46.5734624Z learning rate according to 'final_div_factor' instead of modifying the second 2025-08-14T21:16:46.5734879Z phase (the first two phases will be symmetrical about the step indicated by 2025-08-14T21:16:46.5734983Z 'pct_start'). 2025-08-14T21:16:46.5735192Z last_epoch (int): The index of the last batch. This parameter is used when 2025-08-14T21:16:46.5735416Z resuming a training job. Since `step()` should be invoked after each 2025-08-14T21:16:46.5735625Z batch instead of after each epoch, this number represents the total 2025-08-14T21:16:46.5735842Z number of *batches* computed, not the total number of epochs computed. 2025-08-14T21:16:46.5736042Z When last_epoch=-1, the schedule is started from the beginning. 2025-08-14T21:16:46.5736137Z Default: -1 2025-08-14T21:16:46.5736219Z 2025-08-14T21:16:46.5736316Z Example: 2025-08-14T21:16:46.5736415Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5736581Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-08-14T21:16:46.5736807Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9) 2025-08-14T21:16:46.5736960Z >>> scheduler = torch.optim.lr_scheduler.OneCycleLR( 2025-08-14T21:16:46.5737174Z ... optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10 2025-08-14T21:16:46.5737256Z ... ) 2025-08-14T21:16:46.5737357Z >>> for epoch in range(10): 2025-08-14T21:16:46.5737474Z >>> for batch in data_loader: 2025-08-14T21:16:46.5737576Z >>> train_batch(...) 2025-08-14T21:16:46.5737678Z >>> optimizer.step() 2025-08-14T21:16:46.5737790Z >>> scheduler.step() 2025-08-14T21:16:46.5737866Z 2025-08-14T21:16:46.5738040Z .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png 2025-08-14T21:16:46.5738121Z 2025-08-14T21:16:46.5738401Z .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates: 2025-08-14T21:16:46.5738536Z https://arxiv.org/abs/1708.07120 2025-08-14T21:16:46.5738614Z 2025-08-14T21:16:46.5738867Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5738959Z 2025-08-14T21:16:46.5739054Z warnings.warn(msg) 2025-08-14T21:16:46.5739132Z 2025-08-14T21:16:46.5739352Z --- Parse Warning: 125 / 146 --- 2025-08-14T21:16:46.5740295Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py line=867. 2025-08-14T21:16:46.5740564Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5740666Z Load the optimizer state. 2025-08-14T21:16:46.5740747Z 2025-08-14T21:16:46.5740845Z Args: 2025-08-14T21:16:46.5741040Z state_dict (dict): optimizer state. Should be an object returned 2025-08-14T21:16:46.5741163Z from a call to :meth:`state_dict`. 2025-08-14T21:16:46.5741253Z 2025-08-14T21:16:46.5741346Z .. warning:: 2025-08-14T21:16:46.5741687Z Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`, 2025-08-14T21:16:46.5741893Z as calling it beforehand will overwrite the loaded learning rates. 2025-08-14T21:16:46.5741973Z 2025-08-14T21:16:46.5742073Z .. note:: 2025-08-14T21:16:46.5742355Z The names of the parameters (if they exist under the "param_names" key of each param group 2025-08-14T21:16:46.5742525Z in :meth:`state_dict`) will not affect the loading process. 2025-08-14T21:16:46.5742856Z To use the parameters' names for custom cases (such as when the parameters in the loaded state dict 2025-08-14T21:16:46.5743065Z differ from those initialized in the optimizer), 2025-08-14T21:16:46.5743414Z a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict 2025-08-14T21:16:46.5743509Z accordingly. 2025-08-14T21:16:46.5743788Z If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override 2025-08-14T21:16:46.5744107Z the current names, if present, in the optimizer state. If they do not exist in loaded state dict, 2025-08-14T21:16:46.5744268Z the optimizer ``param_names`` will remain unchanged. 2025-08-14T21:16:46.5744349Z 2025-08-14T21:16:46.5744450Z Example: 2025-08-14T21:16:46.5744550Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5744680Z >>> model = torch.nn.Linear(10, 10) 2025-08-14T21:16:46.5744847Z >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4) 2025-08-14T21:16:46.5745009Z >>> scheduler1 = torch.optim.lr_scheduler.LinearLR( 2025-08-14T21:16:46.5745116Z ... optim, 2025-08-14T21:16:46.5745221Z ... start_factor=0.1, 2025-08-14T21:16:46.5745315Z ... end_factor=1, 2025-08-14T21:16:46.5745423Z ... total_iters=20, 2025-08-14T21:16:46.5745504Z ... ) 2025-08-14T21:16:46.5745790Z >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR( 2025-08-14T21:16:46.5745898Z ... optim, 2025-08-14T21:16:46.5745989Z ... T_max=80, 2025-08-14T21:16:46.5746101Z ... eta_min=3e-5, 2025-08-14T21:16:46.5746183Z ... ) 2025-08-14T21:16:46.5746327Z >>> lr = torch.optim.lr_scheduler.SequentialLR( 2025-08-14T21:16:46.5746429Z ... optim, 2025-08-14T21:16:46.5746558Z ... schedulers=[scheduler1, scheduler2], 2025-08-14T21:16:46.5746661Z ... milestones=[20], 2025-08-14T21:16:46.5746759Z ... ) 2025-08-14T21:16:46.5746904Z >>> lr.load_state_dict(torch.load("./save_seq.pt")) 2025-08-14T21:16:46.5747100Z >>> # now load the optimizer checkpoint after loading the LRScheduler 2025-08-14T21:16:46.5747275Z >>> optim.load_state_dict(torch.load("./save_optim.pt")) 2025-08-14T21:16:46.5747353Z 2025-08-14T21:16:46.5747447Z 2025-08-14T21:16:46.5747688Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5747766Z 2025-08-14T21:16:46.5747950Z warnings.warn(msg) 2025-08-14T21:16:46.5748028Z 2025-08-14T21:16:46.5748240Z --- Parse Warning: 126 / 146 --- 2025-08-14T21:16:46.5749096Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=120. 2025-08-14T21:16:46.5749351Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5749710Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2025-08-14T21:16:46.5749788Z 2025-08-14T21:16:46.5750020Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2025-08-14T21:16:46.5750240Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2025-08-14T21:16:46.5750450Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2025-08-14T21:16:46.5750535Z (UAI 2018). 2025-08-14T21:16:46.5750629Z 2025-08-14T21:16:46.5750836Z Exponential Moving Average is a variation of `Polyak averaging`_, 2025-08-14T21:16:46.5751064Z but using exponential weights instead of equal weights across iterations. 2025-08-14T21:16:46.5751157Z 2025-08-14T21:16:46.5751412Z AveragedModel class creates a copy of the provided module :attr:`model` 2025-08-14T21:16:46.5751701Z on the device :attr:`device` and allows to compute running averages of the 2025-08-14T21:16:46.5751838Z parameters of the :attr:`model`. 2025-08-14T21:16:46.5751917Z 2025-08-14T21:16:46.5752012Z Args: 2025-08-14T21:16:46.5752159Z model (torch.nn.Module): model to use with SWA/EMA 2025-08-14T21:16:46.5752385Z device (torch.device, optional): if provided, the averaged model will be 2025-08-14T21:16:46.5752506Z stored on the :attr:`device` 2025-08-14T21:16:46.5752706Z avg_fn (function, optional): the averaging function used to update 2025-08-14T21:16:46.5752911Z parameters; the function must take in the current value of the 2025-08-14T21:16:46.5753121Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2025-08-14T21:16:46.5753309Z parameter, and the number of models already averaged; if None, 2025-08-14T21:16:46.5753480Z an equally weighted average is used (default: None) 2025-08-14T21:16:46.5753698Z multi_avg_fn (function, optional): the averaging function used to update 2025-08-14T21:16:46.5753925Z parameters inplace; the function must take in the current values of the 2025-08-14T21:16:46.5754194Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2025-08-14T21:16:46.5754413Z parameters as a list, and the number of models already averaged; if None, 2025-08-14T21:16:46.5754580Z an equally weighted average is used (default: None) 2025-08-14T21:16:46.5754779Z use_buffers (bool): if ``True``, it will compute running averages for 2025-08-14T21:16:46.5754992Z both the parameters and the buffers of the model. (default: ``False``) 2025-08-14T21:16:46.5755084Z 2025-08-14T21:16:46.5755167Z Example: 2025-08-14T21:16:46.5755300Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5755437Z >>> loader, optimizer, model, loss_fn = ... 2025-08-14T21:16:46.5755606Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2025-08-14T21:16:46.5755834Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2025-08-14T21:16:46.5755945Z >>> T_max=300) 2025-08-14T21:16:46.5756042Z >>> swa_start = 160 2025-08-14T21:16:46.5756193Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2025-08-14T21:16:46.5756291Z >>> for i in range(300): 2025-08-14T21:16:46.5756443Z >>> for input, target in loader: 2025-08-14T21:16:46.5756569Z >>> optimizer.zero_grad() 2025-08-14T21:16:46.5756700Z >>> loss_fn(model(input), target).backward() 2025-08-14T21:16:46.5756803Z >>> optimizer.step() 2025-08-14T21:16:46.5756920Z >>> if i > swa_start: 2025-08-14T21:16:46.5757053Z >>> swa_model.update_parameters(model) 2025-08-14T21:16:46.5757177Z >>> swa_scheduler.step() 2025-08-14T21:16:46.5757262Z >>> else: 2025-08-14T21:16:46.5757364Z >>> scheduler.step() 2025-08-14T21:16:46.5757460Z >>> 2025-08-14T21:16:46.5757608Z >>> # Update bn statistics for the swa_model at the end 2025-08-14T21:16:46.5757763Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2025-08-14T21:16:46.5757853Z 2025-08-14T21:16:46.5758141Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2025-08-14T21:16:46.5758328Z If no averaging function is provided, the default is to compute 2025-08-14T21:16:46.5758486Z equally-weighted average of the weights (SWA). 2025-08-14T21:16:46.5758563Z 2025-08-14T21:16:46.5758657Z Example: 2025-08-14T21:16:46.5758782Z >>> # xdoctest: +SKIP("undefined variables") 2025-08-14T21:16:46.5759034Z >>> # Compute exponential moving averages of the weights and buffers 2025-08-14T21:16:46.5759236Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2025-08-14T21:16:46.5759446Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2025-08-14T21:16:46.5759524Z 2025-08-14T21:16:46.5759622Z .. note:: 2025-08-14T21:16:46.5759831Z When using SWA/EMA with models containing Batch Normalization you may 2025-08-14T21:16:46.5760038Z need to update the activation statistics for Batch Normalization. 2025-08-14T21:16:46.5760267Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2025-08-14T21:16:46.5760482Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2025-08-14T21:16:46.5760724Z statistics in a post-training step by passing data through the model. The 2025-08-14T21:16:46.5760958Z second does it during the parameter update phase by averaging all buffers. 2025-08-14T21:16:46.5761192Z Empirical evidence has shown that updating the statistics in normalization 2025-08-14T21:16:46.5761422Z layers increases accuracy, but you may wish to empirically test which 2025-08-14T21:16:46.5761570Z approach yields the best results in your problem. 2025-08-14T21:16:46.5761669Z 2025-08-14T21:16:46.5761755Z .. note:: 2025-08-14T21:16:46.5761998Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2025-08-14T21:16:46.5762089Z 2025-08-14T21:16:46.5762172Z .. note:: 2025-08-14T21:16:46.5762363Z When :meth:`update_parameters` is called for the first time (i.e. 2025-08-14T21:16:46.5762553Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2025-08-14T21:16:46.5762747Z to the parameters of :class:`AveragedModel`. For every subsequent 2025-08-14T21:16:46.5762943Z call of :meth:`update_parameters` the function `avg_fn` is used 2025-08-14T21:16:46.5763049Z to update the parameters. 2025-08-14T21:16:46.5763126Z 2025-08-14T21:16:46.5763351Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-14T21:16:46.5763470Z https://arxiv.org/abs/1803.05407 2025-08-14T21:16:46.5763697Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2025-08-14T21:16:46.5763796Z Average: 2025-08-14T21:16:46.5763909Z https://arxiv.org/abs/1806.05594 2025-08-14T21:16:46.5764138Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2025-08-14T21:16:46.5764265Z https://arxiv.org/abs/1904.11943 2025-08-14T21:16:46.5764481Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2025-08-14T21:16:46.5764590Z Generalizes Well: 2025-08-14T21:16:46.5764709Z https://arxiv.org/abs/2001.02312 2025-08-14T21:16:46.5764807Z .. _Polyak averaging: 2025-08-14T21:16:46.5764992Z https://paperswithcode.com/method/polyak-averaging 2025-08-14T21:16:46.5765072Z 2025-08-14T21:16:46.5765313Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5765403Z 2025-08-14T21:16:46.5765497Z warnings.warn(msg) 2025-08-14T21:16:46.5765575Z 2025-08-14T21:16:46.5765793Z --- Parse Warning: 127 / 146 --- 2025-08-14T21:16:46.5766603Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=375. 2025-08-14T21:16:46.5766867Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5767077Z Anneals the learning rate in each parameter group to a fixed value. 2025-08-14T21:16:46.5767194Z 2025-08-14T21:16:46.5767461Z This learning rate scheduler is meant to be used with Stochastic Weight 2025-08-14T21:16:46.5767691Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2025-08-14T21:16:46.5767769Z 2025-08-14T21:16:46.5767864Z Args: 2025-08-14T21:16:46.5768031Z optimizer (torch.optim.Optimizer): wrapped optimizer 2025-08-14T21:16:46.5768243Z swa_lrs (float or list): the learning rate value for all param groups 2025-08-14T21:16:46.5768369Z together or separately for each group. 2025-08-14T21:16:46.5768566Z annealing_epochs (int): number of epochs in the annealing phase 2025-08-14T21:16:46.5768673Z (default: 10) 2025-08-14T21:16:46.5768878Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2025-08-14T21:16:46.5769078Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2025-08-14T21:16:46.5769184Z (default: "cos") 2025-08-14T21:16:46.5769361Z last_epoch (int): the index of the last epoch (default: -1) 2025-08-14T21:16:46.5769441Z 2025-08-14T21:16:46.5769626Z The :class:`SWALR` scheduler can be used together with other 2025-08-14T21:16:46.5769832Z schedulers to switch to a constant learning rate late in the training 2025-08-14T21:16:46.5769943Z as in the example below. 2025-08-14T21:16:46.5770020Z 2025-08-14T21:16:46.5770103Z Example: 2025-08-14T21:16:46.5770244Z >>> # xdoctest: +SKIP("Undefined variables") 2025-08-14T21:16:46.5770357Z >>> loader, optimizer, model = ... 2025-08-14T21:16:46.5770468Z >>> lr_lambda = lambda epoch: 0.9 2025-08-14T21:16:46.5770696Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2025-08-14T21:16:46.5770798Z >>> lr_lambda=lr_lambda) 2025-08-14T21:16:46.5770963Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2025-08-14T21:16:46.5771152Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2025-08-14T21:16:46.5771251Z >>> swa_start = 160 2025-08-14T21:16:46.5771362Z >>> for i in range(300): 2025-08-14T21:16:46.5771474Z >>> for input, target in loader: 2025-08-14T21:16:46.5771583Z >>> optimizer.zero_grad() 2025-08-14T21:16:46.5771729Z >>> loss_fn(model(input), target).backward() 2025-08-14T21:16:46.5771833Z >>> optimizer.step() 2025-08-14T21:16:46.5771931Z >>> if i > swa_start: 2025-08-14T21:16:46.5772081Z >>> swa_scheduler.step() 2025-08-14T21:16:46.5772171Z >>> else: 2025-08-14T21:16:46.5772273Z >>> scheduler.step() 2025-08-14T21:16:46.5772372Z 2025-08-14T21:16:46.5772586Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-08-14T21:16:46.5772716Z https://arxiv.org/abs/1803.05407 2025-08-14T21:16:46.5772802Z 2025-08-14T21:16:46.5773042Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5773138Z 2025-08-14T21:16:46.5773234Z warnings.warn(msg) 2025-08-14T21:16:46.5773313Z 2025-08-14T21:16:46.5773522Z --- Parse Warning: 128 / 146 --- 2025-08-14T21:16:46.5774377Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1331. 2025-08-14T21:16:46.5774646Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5774791Z Asserts that ``actual`` and ``expected`` are close. 2025-08-14T21:16:46.5774871Z 2025-08-14T21:16:46.5775238Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2025-08-14T21:16:46.5775346Z 2025-08-14T21:16:46.5775495Z .. math:: 2025-08-14T21:16:46.5775588Z 2025-08-14T21:16:46.5776205Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2025-08-14T21:16:46.5776285Z 2025-08-14T21:16:46.5776628Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2025-08-14T21:16:46.5776828Z only considered equal to each other if ``equal_nan`` is ``True``. 2025-08-14T21:16:46.5776920Z 2025-08-14T21:16:46.5777111Z In addition, they are only considered close if they have the same 2025-08-14T21:16:46.5777191Z 2025-08-14T21:16:46.5777395Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2025-08-14T21:16:46.5777523Z - ``dtype`` (if ``check_dtype`` is ``True``), 2025-08-14T21:16:46.5777665Z - ``layout`` (if ``check_layout`` is ``True``), and 2025-08-14T21:16:46.5777803Z - stride (if ``check_stride`` is ``True``). 2025-08-14T21:16:46.5777884Z 2025-08-14T21:16:46.5778184Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2025-08-14T21:16:46.5778263Z 2025-08-14T21:16:46.5778604Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2025-08-14T21:16:46.5778969Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2025-08-14T21:16:46.5779185Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2025-08-14T21:16:46.5779549Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2025-08-14T21:16:46.5779638Z 2025-08-14T21:16:46.5779904Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2025-08-14T21:16:46.5780251Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2025-08-14T21:16:46.5780351Z definition above. 2025-08-14T21:16:46.5780428Z 2025-08-14T21:16:46.5780732Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2025-08-14T21:16:46.5781088Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2025-08-14T21:16:46.5781437Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2025-08-14T21:16:46.5781915Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2025-08-14T21:16:46.5782136Z their elements are considered close according to the above definition. 2025-08-14T21:16:46.5782230Z 2025-08-14T21:16:46.5782315Z .. note:: 2025-08-14T21:16:46.5782394Z 2025-08-14T21:16:46.5782732Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2025-08-14T21:16:46.5783041Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2025-08-14T21:16:46.5783306Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2025-08-14T21:16:46.5783399Z 2025-08-14T21:16:46.5783481Z Args: 2025-08-14T21:16:46.5783600Z actual (Any): Actual input. 2025-08-14T21:16:46.5783713Z expected (Any): Expected input. 2025-08-14T21:16:46.5784054Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2025-08-14T21:16:46.5784222Z are allowed. Otherwise type equality is required. 2025-08-14T21:16:46.5784569Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2025-08-14T21:16:46.5784898Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-14T21:16:46.5785291Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2025-08-14T21:16:46.5785539Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-08-14T21:16:46.5785866Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2025-08-14T21:16:46.5786145Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2025-08-14T21:16:46.5786385Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2025-08-14T21:16:46.5786623Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2025-08-14T21:16:46.5786955Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2025-08-14T21:16:46.5787304Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2025-08-14T21:16:46.5787464Z :func:`torch.promote_types`) before being compared. 2025-08-14T21:16:46.5787803Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2025-08-14T21:16:46.5788135Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2025-08-14T21:16:46.5788226Z compared. 2025-08-14T21:16:46.5788583Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2025-08-14T21:16:46.5788917Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2025-08-14T21:16:46.5789262Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2025-08-14T21:16:46.5789388Z should return the new message. 2025-08-14T21:16:46.5789469Z 2025-08-14T21:16:46.5789551Z Raises: 2025-08-14T21:16:46.5789786Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2025-08-14T21:16:46.5789946Z ValueError: If only ``rtol`` or ``atol`` is specified. 2025-08-14T21:16:46.5790268Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2025-08-14T21:16:46.5790651Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2025-08-14T21:16:46.5790751Z different types. 2025-08-14T21:16:46.5791111Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2025-08-14T21:16:46.5791462Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2025-08-14T21:16:46.5791782Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2025-08-14T21:16:46.5792067Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2025-08-14T21:16:46.5792185Z :attr:`~torch.Tensor.layout`. 2025-08-14T21:16:46.5792407Z AssertionError: If only one of corresponding tensors is quantized. 2025-08-14T21:16:46.5792773Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2025-08-14T21:16:46.5793053Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2025-08-14T21:16:46.5793180Z :attr:`~torch.Tensor.device`. 2025-08-14T21:16:46.5793495Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2025-08-14T21:16:46.5793902Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2025-08-14T21:16:46.5794272Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2025-08-14T21:16:46.5794349Z 2025-08-14T21:16:46.5794710Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2025-08-14T21:16:46.5794855Z ``dtype``'s, the maximum of both tolerances is used. 2025-08-14T21:16:46.5794933Z 2025-08-14T21:16:46.5795071Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5795198Z | ``dtype`` | ``rtol`` | ``atol`` | 2025-08-14T21:16:46.5795315Z +===========================+============+==========+ 2025-08-14T21:16:46.5795447Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2025-08-14T21:16:46.5795566Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5795714Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2025-08-14T21:16:46.5795835Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5795966Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5796094Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5796222Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2025-08-14T21:16:46.5796352Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5796483Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2025-08-14T21:16:46.5796601Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5796744Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5796860Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5796991Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2025-08-14T21:16:46.5797122Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5797253Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5797380Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5797508Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5797623Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5797763Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5797879Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5798031Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5798160Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5798286Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2025-08-14T21:16:46.5798413Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5798535Z | other | ``0.0`` | ``0.0`` | 2025-08-14T21:16:46.5798652Z +---------------------------+------------+----------+ 2025-08-14T21:16:46.5798744Z 2025-08-14T21:16:46.5798831Z .. note:: 2025-08-14T21:16:46.5798908Z 2025-08-14T21:16:46.5799289Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2025-08-14T21:16:46.5799626Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2025-08-14T21:16:46.5799889Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2025-08-14T21:16:46.5799968Z 2025-08-14T21:16:46.5800064Z >>> import functools 2025-08-14T21:16:46.5800325Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2025-08-14T21:16:46.5800431Z >>> assert_equal(1e-9, 1e-10) 2025-08-14T21:16:46.5800600Z Traceback (most recent call last): 2025-08-14T21:16:46.5800695Z ... 2025-08-14T21:16:46.5800851Z AssertionError: Scalars are not equal! 2025-08-14T21:16:46.5800941Z 2025-08-14T21:16:46.5801060Z Expected 1e-10 but got 1e-09. 2025-08-14T21:16:46.5801183Z Absolute difference: 9.000000000000001e-10 2025-08-14T21:16:46.5801285Z Relative difference: 9.0 2025-08-14T21:16:46.5801374Z 2025-08-14T21:16:46.5801458Z Examples: 2025-08-14T21:16:46.5801584Z >>> # tensor to tensor comparison 2025-08-14T21:16:46.5801716Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2025-08-14T21:16:46.5801849Z >>> actual = torch.acos(torch.cos(expected)) 2025-08-14T21:16:46.5802005Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:46.5802087Z 2025-08-14T21:16:46.5802197Z >>> # scalar to scalar comparison 2025-08-14T21:16:46.5802302Z >>> import math 2025-08-14T21:16:46.5802410Z >>> expected = math.sqrt(2.0) 2025-08-14T21:16:46.5802514Z >>> actual = 2.0 / math.sqrt(2.0) 2025-08-14T21:16:46.5802668Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:46.5802746Z 2025-08-14T21:16:46.5802880Z >>> # numpy array to numpy array comparison 2025-08-14T21:16:46.5802979Z >>> import numpy as np 2025-08-14T21:16:46.5803098Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2025-08-14T21:16:46.5803230Z >>> actual = np.arccos(np.cos(expected)) 2025-08-14T21:16:46.5803368Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:46.5803448Z 2025-08-14T21:16:46.5803577Z >>> # sequence to sequence comparison 2025-08-14T21:16:46.5803673Z >>> import numpy as np 2025-08-14T21:16:46.5803914Z >>> # The types of the sequences do not have to match. They only have to have the same 2025-08-14T21:16:46.5804058Z >>> # length and their elements have to match. 2025-08-14T21:16:46.5804210Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2025-08-14T21:16:46.5804330Z >>> actual = tuple(expected) 2025-08-14T21:16:46.5804467Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:46.5804557Z 2025-08-14T21:16:46.5804685Z >>> # mapping to mapping comparison 2025-08-14T21:16:46.5804803Z >>> from collections import OrderedDict 2025-08-14T21:16:46.5804903Z >>> import numpy as np 2025-08-14T21:16:46.5805019Z >>> foo = torch.tensor(1.0) 2025-08-14T21:16:46.5805107Z >>> bar = 2.0 2025-08-14T21:16:46.5805234Z >>> baz = np.array(3.0) 2025-08-14T21:16:46.5805499Z >>> # The types and a possible ordering of mappings do not have to match. They only 2025-08-14T21:16:46.5805695Z >>> # have to have the same set of keys and their elements have to match. 2025-08-14T21:16:46.5805910Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2025-08-14T21:16:46.5806046Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2025-08-14T21:16:46.5806188Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:46.5806280Z 2025-08-14T21:16:46.5806405Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-14T21:16:46.5806513Z >>> actual = expected.clone() 2025-08-14T21:16:46.5806692Z >>> # By default, directly related instances can be compared 2025-08-14T21:16:46.5806904Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2025-08-14T21:16:46.5807106Z >>> # This check can be made more strict with allow_subclasses=False 2025-08-14T21:16:46.5807219Z >>> torch.testing.assert_close( 2025-08-14T21:16:46.5807412Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2025-08-14T21:16:46.5807506Z ... ) 2025-08-14T21:16:46.5807690Z Traceback (most recent call last): 2025-08-14T21:16:46.5807770Z ... 2025-08-14T21:16:46.5808007Z TypeError: No comparison pair was able to handle inputs of type 2025-08-14T21:16:46.5808217Z and . 2025-08-14T21:16:46.5808450Z >>> # If the inputs are not directly related, they are never considered close 2025-08-14T21:16:46.5808621Z >>> torch.testing.assert_close(actual.numpy(), expected) 2025-08-14T21:16:46.5808736Z Traceback (most recent call last): 2025-08-14T21:16:46.5808834Z ... 2025-08-14T21:16:46.5809115Z TypeError: No comparison pair was able to handle inputs of type 2025-08-14T21:16:46.5809222Z and . 2025-08-14T21:16:46.5809487Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2025-08-14T21:16:46.5809604Z >>> # their type if check_dtype=False. 2025-08-14T21:16:46.5809772Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2025-08-14T21:16:46.5809871Z 2025-08-14T21:16:46.5809969Z >>> # NaN != NaN by default. 2025-08-14T21:16:46.5810104Z >>> expected = torch.tensor(float("Nan")) 2025-08-14T21:16:46.5810214Z >>> actual = expected.clone() 2025-08-14T21:16:46.5810357Z >>> torch.testing.assert_close(actual, expected) 2025-08-14T21:16:46.5810487Z Traceback (most recent call last): 2025-08-14T21:16:46.5810568Z ... 2025-08-14T21:16:46.5810691Z AssertionError: Scalars are not close! 2025-08-14T21:16:46.5810793Z 2025-08-14T21:16:46.5810895Z Expected nan but got nan. 2025-08-14T21:16:46.5811033Z Absolute difference: nan (up to 1e-05 allowed) 2025-08-14T21:16:46.5811188Z Relative difference: nan (up to 1.3e-06 allowed) 2025-08-14T21:16:46.5811381Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2025-08-14T21:16:46.5811474Z 2025-08-14T21:16:46.5811599Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-08-14T21:16:46.5811713Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2025-08-14T21:16:46.5811869Z >>> # The default error message can be overwritten. 2025-08-14T21:16:46.5811979Z >>> torch.testing.assert_close( 2025-08-14T21:16:46.5812153Z ... actual, expected, msg="Argh, the tensors are not close!" 2025-08-14T21:16:46.5812243Z ... ) 2025-08-14T21:16:46.5812357Z Traceback (most recent call last): 2025-08-14T21:16:46.5812466Z ... 2025-08-14T21:16:46.5812626Z AssertionError: Argh, the tensors are not close! 2025-08-14T21:16:46.5812835Z >>> # If msg is a callable, it can be used to augment the generated message with 2025-08-14T21:16:46.5812944Z >>> # extra information 2025-08-14T21:16:46.5813057Z >>> torch.testing.assert_close( 2025-08-14T21:16:46.5813252Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2025-08-14T21:16:46.5813348Z ... ) 2025-08-14T21:16:46.5813464Z Traceback (most recent call last): 2025-08-14T21:16:46.5813545Z ... 2025-08-14T21:16:46.5813660Z AssertionError: Header 2025-08-14T21:16:46.5813749Z 2025-08-14T21:16:46.5813853Z Tensor-likes are not close! 2025-08-14T21:16:46.5813953Z 2025-08-14T21:16:46.5814063Z Mismatched elements: 2 / 3 (66.7%) 2025-08-14T21:16:46.5814292Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2025-08-14T21:16:46.5814511Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2025-08-14T21:16:46.5814598Z 2025-08-14T21:16:46.5814695Z Footer 2025-08-14T21:16:46.5814776Z 2025-08-14T21:16:46.5815073Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5815169Z 2025-08-14T21:16:46.5815289Z warnings.warn(msg) 2025-08-14T21:16:46.5815366Z 2025-08-14T21:16:46.5815618Z --- Parse Warning: 129 / 146 --- 2025-08-14T21:16:46.5816490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=134. 2025-08-14T21:16:46.5816753Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5816894Z Register a container-like type as pytree node. 2025-08-14T21:16:46.5816971Z 2025-08-14T21:16:46.5817063Z Args: 2025-08-14T21:16:46.5817242Z cls (type): A Python type to treat as an internal pytree node. 2025-08-14T21:16:46.5817502Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2025-08-14T21:16:46.5817759Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2025-08-14T21:16:46.5818038Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2025-08-14T21:16:46.5818168Z passed to the ``unflatten_fn``. 2025-08-14T21:16:46.5818431Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2025-08-14T21:16:46.5818678Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2025-08-14T21:16:46.5818845Z The function should return an instance of ``cls``. 2025-08-14T21:16:46.5819099Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2025-08-14T21:16:46.5819271Z qualified name used when serializing the tree spec. 2025-08-14T21:16:46.5819564Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2025-08-14T21:16:46.5819835Z to convert the context of the pytree to a custom json dumpable representation. This is 2025-08-14T21:16:46.5820110Z used for json serialization, which is being used in :mod:`torch.export` right now. 2025-08-14T21:16:46.5820400Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2025-08-14T21:16:46.5820650Z how to convert the custom json dumpable representation of the context back to the 2025-08-14T21:16:46.5820909Z original context. This is used for json deserialization, which is being used in 2025-08-14T21:16:46.5821054Z :mod:`torch.export` right now. 2025-08-14T21:16:46.5821145Z 2025-08-14T21:16:46.5821234Z Example:: 2025-08-14T21:16:46.5821311Z 2025-08-14T21:16:46.5821420Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5821562Z >>> # Registry a Python type with lambda functions 2025-08-14T21:16:46.5821671Z >>> register_pytree_node( 2025-08-14T21:16:46.5821769Z ... set, 2025-08-14T21:16:46.5821891Z ... lambda s: (sorted(s), None, None), 2025-08-14T21:16:46.5822010Z ... lambda children, _: set(children), 2025-08-14T21:16:46.5822102Z ... ) 2025-08-14T21:16:46.5822182Z 2025-08-14T21:16:46.5822438Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5822517Z 2025-08-14T21:16:46.5822612Z warnings.warn(msg) 2025-08-14T21:16:46.5822705Z 2025-08-14T21:16:46.5822904Z --- Parse Warning: 130 / 146 --- 2025-08-14T21:16:46.5823831Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1218. 2025-08-14T21:16:46.5824124Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5824225Z 2025-08-14T21:16:46.5824471Z Context passed to policy function during selective checkpointing. 2025-08-14T21:16:46.5824548Z 2025-08-14T21:16:46.5824763Z This class is used to pass relevant metadata to the policy function during 2025-08-14T21:16:46.5825026Z selective checkpointing. The metadata includes whether the current invocation 2025-08-14T21:16:46.5825182Z of the policy function is during recomputation or not. 2025-08-14T21:16:46.5825259Z 2025-08-14T21:16:46.5825353Z Example: 2025-08-14T21:16:46.5825452Z >>> # xdoctest: +SKIP(stub) 2025-08-14T21:16:46.5825535Z >>> 2025-08-14T21:16:46.5825778Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-14T21:16:46.5825892Z >>> print(ctx.is_recompute) 2025-08-14T21:16:46.5825973Z >>> 2025-08-14T21:16:46.5826247Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-14T21:16:46.5826334Z >>> 2025-08-14T21:16:46.5826493Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-14T21:16:46.5826583Z >>> fn, x, y, 2025-08-14T21:16:46.5826682Z >>> use_reentrant=False, 2025-08-14T21:16:46.5826796Z >>> context_fn=context_fn, 2025-08-14T21:16:46.5826876Z >>> ) 2025-08-14T21:16:46.5826953Z 2025-08-14T21:16:46.5827208Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5827284Z 2025-08-14T21:16:46.5827379Z warnings.warn(msg) 2025-08-14T21:16:46.5827469Z 2025-08-14T21:16:46.5827670Z --- Parse Warning: 131 / 146 --- 2025-08-14T21:16:46.5828627Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1358. 2025-08-14T21:16:46.5828878Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5828957Z 2025-08-14T21:16:46.5829201Z Helper to avoid recomputing certain ops during activation checkpointing. 2025-08-14T21:16:46.5829279Z 2025-08-14T21:16:46.5829489Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2025-08-14T21:16:46.5829657Z operations are recomputed during the backward pass. 2025-08-14T21:16:46.5829734Z 2025-08-14T21:16:46.5829815Z Args: 2025-08-14T21:16:46.5829940Z policy_fn_or_list (Callable or List): 2025-08-14T21:16:46.5830097Z - If a policy function is provided, it should accept a 2025-08-14T21:16:46.5830389Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2025-08-14T21:16:46.5830588Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2025-08-14T21:16:46.5830816Z indicating whether the execution of the op should be recomputed or not. 2025-08-14T21:16:46.5831026Z - If a list of operations is provided, it is equivalent to a policy 2025-08-14T21:16:46.5831208Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2025-08-14T21:16:46.5831414Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2025-08-14T21:16:46.5831519Z operations. 2025-08-14T21:16:46.5831727Z allow_cache_entry_mutation (bool, optional): By default, an error is 2025-08-14T21:16:46.5831945Z raised if any tensors cached by selective activation checkpoint are 2025-08-14T21:16:46.5832146Z mutated in order to ensure correctness. If set to `True`, this check 2025-08-14T21:16:46.5832240Z is disabled. 2025-08-14T21:16:46.5832336Z Returns: 2025-08-14T21:16:46.5832442Z A tuple of two context managers. 2025-08-14T21:16:46.5832519Z 2025-08-14T21:16:46.5832619Z Example: 2025-08-14T21:16:46.5832722Z >>> # xdoctest: +REQUIRES(LINUX) 2025-08-14T21:16:46.5832817Z >>> import functools 2025-08-14T21:16:46.5832962Z >>> 2025-08-14T21:16:46.5833085Z >>> x = torch.rand(10, 10, requires_grad=True) 2025-08-14T21:16:46.5833246Z >>> y = torch.rand(10, 10, requires_grad=True) 2025-08-14T21:16:46.5833326Z >>> 2025-08-14T21:16:46.5833418Z >>> ops_to_save = [ 2025-08-14T21:16:46.5833540Z >>> torch.ops.aten.mm.default, 2025-08-14T21:16:46.5833619Z >>> ] 2025-08-14T21:16:46.5833697Z >>> 2025-08-14T21:16:46.5833834Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-08-14T21:16:46.5833932Z >>> if op in ops_to_save: 2025-08-14T21:16:46.5834059Z >>> return CheckpointPolicy.MUST_SAVE 2025-08-14T21:16:46.5834153Z >>> else: 2025-08-14T21:16:46.5834299Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2025-08-14T21:16:46.5834378Z >>> 2025-08-14T21:16:46.5834651Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-08-14T21:16:46.5834734Z >>> 2025-08-14T21:16:46.5834843Z >>> # or equivalently 2025-08-14T21:16:46.5835108Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2025-08-14T21:16:46.5835186Z >>> 2025-08-14T21:16:46.5835289Z >>> def fn(x, y): 2025-08-14T21:16:46.5835482Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2025-08-14T21:16:46.5835562Z >>> 2025-08-14T21:16:46.5835718Z >>> out = torch.utils.checkpoint.checkpoint( 2025-08-14T21:16:46.5835806Z >>> fn, x, y, 2025-08-14T21:16:46.5835909Z >>> use_reentrant=False, 2025-08-14T21:16:46.5836029Z >>> context_fn=context_fn, 2025-08-14T21:16:46.5836109Z >>> ) 2025-08-14T21:16:46.5836202Z 2025-08-14T21:16:46.5836446Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5836527Z 2025-08-14T21:16:46.5836637Z warnings.warn(msg) 2025-08-14T21:16:46.5836720Z 2025-08-14T21:16:46.5836919Z --- Parse Warning: 132 / 146 --- 2025-08-14T21:16:46.5837800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1147. 2025-08-14T21:16:46.5838051Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5838130Z 2025-08-14T21:16:46.5838287Z Create a :class:`setuptools.Extension` for C++. 2025-08-14T21:16:46.5838368Z 2025-08-14T21:16:46.5838673Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-14T21:16:46.5838888Z bare minimum (but often sufficient) arguments to build a C++ extension. 2025-08-14T21:16:46.5838971Z 2025-08-14T21:16:46.5839188Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-14T21:16:46.5839333Z constructor. Full list arguments can be found at 2025-08-14T21:16:46.5839655Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-14T21:16:46.5839750Z 2025-08-14T21:16:46.5839842Z .. warning:: 2025-08-14T21:16:46.5840062Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-14T21:16:46.5840277Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-14T21:16:46.5840465Z the user's responsibility in their library to not use APIs from 2025-08-14T21:16:46.5840700Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-14T21:16:46.5840910Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-14T21:16:46.5841115Z example, to give access to custom ops from python, the library should 2025-08-14T21:16:46.5841253Z register the ops through the dispatcher. 2025-08-14T21:16:46.5841330Z 2025-08-14T21:16:46.5841542Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-14T21:16:46.5841805Z as a compile flag when py_limited_api is specified as an option for 2025-08-14T21:16:46.5842031Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-14T21:16:46.5842247Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-14T21:16:46.5842449Z safety, and sanity in order to encourage best practices. To target a 2025-08-14T21:16:46.5842652Z different version, set min_supported_cpython to the hexcode of the 2025-08-14T21:16:46.5842766Z CPython version of choice. 2025-08-14T21:16:46.5842844Z 2025-08-14T21:16:46.5842929Z Example: 2025-08-14T21:16:46.5843035Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5843180Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:46.5843289Z >>> from setuptools import setup 2025-08-14T21:16:46.5843514Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2025-08-14T21:16:46.5843602Z >>> setup( 2025-08-14T21:16:46.5843710Z ... name='extension', 2025-08-14T21:16:46.5843802Z ... ext_modules=[ 2025-08-14T21:16:46.5843896Z ... CppExtension( 2025-08-14T21:16:46.5844005Z ... name='extension', 2025-08-14T21:16:46.5844123Z ... sources=['extension.cpp'], 2025-08-14T21:16:46.5844236Z ... extra_compile_args=['-g'], 2025-08-14T21:16:46.5844395Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2025-08-14T21:16:46.5844476Z ... ], 2025-08-14T21:16:46.5844563Z ... cmdclass={ 2025-08-14T21:16:46.5844686Z ... 'build_ext': BuildExtension 2025-08-14T21:16:46.5844768Z ... }) 2025-08-14T21:16:46.5844861Z 2025-08-14T21:16:46.5845101Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5845182Z 2025-08-14T21:16:46.5845289Z warnings.warn(msg) 2025-08-14T21:16:46.5845371Z 2025-08-14T21:16:46.5845568Z --- Parse Warning: 133 / 146 --- 2025-08-14T21:16:46.5846457Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1217. 2025-08-14T21:16:46.5846707Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5846798Z 2025-08-14T21:16:46.5846955Z Create a :class:`setuptools.Extension` for CUDA/C++. 2025-08-14T21:16:46.5847032Z 2025-08-14T21:16:46.5847311Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-14T21:16:46.5847508Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2025-08-14T21:16:46.5847728Z extension. This includes the CUDA include path, library path and runtime 2025-08-14T21:16:46.5847822Z library. 2025-08-14T21:16:46.5847902Z 2025-08-14T21:16:46.5848103Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-14T21:16:46.5848258Z constructor. Full list arguments can be found at 2025-08-14T21:16:46.5848572Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-08-14T21:16:46.5848663Z 2025-08-14T21:16:46.5848751Z .. warning:: 2025-08-14T21:16:46.5848970Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-14T21:16:46.5849183Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-14T21:16:46.5849375Z the user's responsibility in their library to not use APIs from 2025-08-14T21:16:46.5849594Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-14T21:16:46.5849812Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-14T21:16:46.5850014Z example, to give access to custom ops from python, the library should 2025-08-14T21:16:46.5850204Z register the ops through the dispatcher. 2025-08-14T21:16:46.5850308Z 2025-08-14T21:16:46.5850523Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-14T21:16:46.5850732Z as a compile flag when py_limited_api is specified as an option for 2025-08-14T21:16:46.5850928Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-14T21:16:46.5851130Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-14T21:16:46.5851345Z safety, and sanity in order to encourage best practices. To target a 2025-08-14T21:16:46.5851553Z different version, set min_supported_cpython to the hexcode of the 2025-08-14T21:16:46.5851657Z CPython version of choice. 2025-08-14T21:16:46.5851749Z 2025-08-14T21:16:46.5851832Z Example: 2025-08-14T21:16:46.5851937Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5852081Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:46.5852195Z >>> from setuptools import setup 2025-08-14T21:16:46.5852424Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2025-08-14T21:16:46.5852506Z >>> setup( 2025-08-14T21:16:46.5852606Z ... name='cuda_extension', 2025-08-14T21:16:46.5852709Z ... ext_modules=[ 2025-08-14T21:16:46.5852805Z ... CUDAExtension( 2025-08-14T21:16:46.5852915Z ... name='cuda_extension', 2025-08-14T21:16:46.5853084Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-14T21:16:46.5853212Z ... extra_compile_args={'cxx': ['-g'], 2025-08-14T21:16:46.5853341Z ... 'nvcc': ['-O2']}, 2025-08-14T21:16:46.5853489Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2025-08-14T21:16:46.5853569Z ... ], 2025-08-14T21:16:46.5853670Z ... cmdclass={ 2025-08-14T21:16:46.5853785Z ... 'build_ext': BuildExtension 2025-08-14T21:16:46.5853867Z ... }) 2025-08-14T21:16:46.5853954Z 2025-08-14T21:16:46.5854051Z Compute capabilities: 2025-08-14T21:16:46.5854128Z 2025-08-14T21:16:46.5854426Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-14T21:16:46.5854701Z building process of the extension, plus PTX. If down the road a new card is installed the 2025-08-14T21:16:46.5854992Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2025-08-14T21:16:46.5855310Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2025-08-14T21:16:46.5855581Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2025-08-14T21:16:46.5855710Z support (see below for details on PTX). 2025-08-14T21:16:46.5855787Z 2025-08-14T21:16:46.5856085Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2025-08-14T21:16:46.5856215Z CCs you want the extension to support: 2025-08-14T21:16:46.5856292Z 2025-08-14T21:16:46.5856485Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2025-08-14T21:16:46.5856709Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2025-08-14T21:16:46.5856787Z 2025-08-14T21:16:46.5857106Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2025-08-14T21:16:46.5857407Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2025-08-14T21:16:46.5857696Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2025-08-14T21:16:46.5857988Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2025-08-14T21:16:46.5858325Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2025-08-14T21:16:46.5858620Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2025-08-14T21:16:46.5858956Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2025-08-14T21:16:46.5859256Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2025-08-14T21:16:46.5859364Z "8.0 8.6" would be better. 2025-08-14T21:16:46.5859440Z 2025-08-14T21:16:46.5859723Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-14T21:16:46.5860013Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-14T21:16:46.5860092Z 2025-08-14T21:16:46.5860417Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2025-08-14T21:16:46.5860623Z To workaround the issue, move python binding logic to pure C++ file. 2025-08-14T21:16:46.5860704Z 2025-08-14T21:16:46.5860802Z Example use: 2025-08-14T21:16:46.5860900Z #include 2025-08-14T21:16:46.5861050Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2025-08-14T21:16:46.5861138Z 2025-08-14T21:16:46.5861221Z Instead of: 2025-08-14T21:16:46.5861325Z #include 2025-08-14T21:16:46.5861492Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2025-08-14T21:16:46.5861568Z 2025-08-14T21:16:46.5861839Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2025-08-14T21:16:46.5862330Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2025-08-14T21:16:46.5862407Z 2025-08-14T21:16:46.5862529Z Relocatable device code linking: 2025-08-14T21:16:46.5862606Z 2025-08-14T21:16:46.5862872Z If you want to reference device symbols across compilation units (across object files), 2025-08-14T21:16:46.5863134Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2025-08-14T21:16:46.5863482Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2025-08-14T21:16:46.5863806Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2025-08-14T21:16:46.5864115Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2025-08-14T21:16:46.5864291Z helps reduce the protentional perf degradation of `-rdc`. 2025-08-14T21:16:46.5864489Z Note that it needs to be used at both steps to be useful. 2025-08-14T21:16:46.5864568Z 2025-08-14T21:16:46.5864923Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2025-08-14T21:16:46.5865102Z There is also a case where `-dlink` is used without `-rdc`: 2025-08-14T21:16:46.5865356Z when an extension is linked against a static lib containing rdc-compiled objects 2025-08-14T21:16:46.5865573Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2025-08-14T21:16:46.5865650Z 2025-08-14T21:16:46.5865953Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2025-08-14T21:16:46.5866047Z 2025-08-14T21:16:46.5866131Z Example: 2025-08-14T21:16:46.5866225Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5866383Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:46.5866480Z >>> CUDAExtension( 2025-08-14T21:16:46.5866589Z ... name='cuda_extension', 2025-08-14T21:16:46.5866759Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-14T21:16:46.5866866Z ... dlink=True, 2025-08-14T21:16:46.5866995Z ... dlink_libraries=["dlink_lib"], 2025-08-14T21:16:46.5867113Z ... extra_compile_args={'cxx': ['-g'], 2025-08-14T21:16:46.5867301Z ... 'nvcc': ['-O2', '-rdc=true']}) 2025-08-14T21:16:46.5867439Z 2025-08-14T21:16:46.5867682Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5867760Z 2025-08-14T21:16:46.5867870Z warnings.warn(msg) 2025-08-14T21:16:46.5867948Z 2025-08-14T21:16:46.5868171Z --- Parse Warning: 134 / 146 --- 2025-08-14T21:16:46.5869066Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1408. 2025-08-14T21:16:46.5869317Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5869410Z 2025-08-14T21:16:46.5869571Z Creates a :class:`setuptools.Extension` for SYCL/C++. 2025-08-14T21:16:46.5869649Z 2025-08-14T21:16:46.5869901Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-08-14T21:16:46.5870097Z bare minimum (but often sufficient) arguments to build a SYCL/C++ 2025-08-14T21:16:46.5870189Z extension. 2025-08-14T21:16:46.5870283Z 2025-08-14T21:16:46.5870480Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-08-14T21:16:46.5870583Z constructor. 2025-08-14T21:16:46.5870662Z 2025-08-14T21:16:46.5870751Z .. warning:: 2025-08-14T21:16:46.5870985Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-08-14T21:16:46.5871189Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-08-14T21:16:46.5871382Z the user's responsibility in their library to not use APIs from 2025-08-14T21:16:46.5871617Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-08-14T21:16:46.5871824Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-08-14T21:16:46.5872032Z example, to give access to custom ops from python, the library should 2025-08-14T21:16:46.5872173Z register the ops through the dispatcher. 2025-08-14T21:16:46.5872255Z 2025-08-14T21:16:46.5872479Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-08-14T21:16:46.5872677Z as a compile flag when py_limited_api is specified as an option for 2025-08-14T21:16:46.5872872Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-08-14T21:16:46.5873093Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-08-14T21:16:46.5873329Z safety, and sanity in order to encourage best practices. To target a 2025-08-14T21:16:46.5873534Z different version, set min_supported_cpython to the hexcode of the 2025-08-14T21:16:46.5873647Z CPython version of choice. 2025-08-14T21:16:46.5873727Z 2025-08-14T21:16:46.5873826Z Example: 2025-08-14T21:16:46.5873925Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5874072Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:46.5874298Z >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension 2025-08-14T21:16:46.5874382Z >>> setup( 2025-08-14T21:16:46.5874483Z ... name='xpu_extension', 2025-08-14T21:16:46.5874585Z ... ext_modules=[ 2025-08-14T21:16:46.5874681Z ... SyclExtension( 2025-08-14T21:16:46.5874792Z ... name='xpu_extension', 2025-08-14T21:16:46.5874962Z ... sources=['extension.cpp', 'extension_kernel.cpp'], 2025-08-14T21:16:46.5875138Z ... extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']}) 2025-08-14T21:16:46.5875233Z ... ], 2025-08-14T21:16:46.5875320Z ... cmdclass={ 2025-08-14T21:16:46.5875431Z ... 'build_ext': BuildExtension 2025-08-14T21:16:46.5875520Z ... }) 2025-08-14T21:16:46.5875597Z 2025-08-14T21:16:46.5875934Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-08-14T21:16:46.5876483Z building process of the extension. If down the road a new card is installed the 2025-08-14T21:16:46.5876723Z extension may need to be recompiled. You can override the default behavior using 2025-08-14T21:16:46.5877015Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension 2025-08-14T21:16:46.5877113Z to support: 2025-08-14T21:16:46.5877190Z 2025-08-14T21:16:46.5877393Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py`` 2025-08-14T21:16:46.5877470Z 2025-08-14T21:16:46.5877759Z Note that while it's possible to include all supported archs, the more archs get included the 2025-08-14T21:16:46.5878047Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-08-14T21:16:46.5878124Z 2025-08-14T21:16:46.5878258Z Note: Ninja is required to build SyclExtension. 2025-08-14T21:16:46.5878353Z 2025-08-14T21:16:46.5878596Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5878675Z 2025-08-14T21:16:46.5878782Z warnings.warn(msg) 2025-08-14T21:16:46.5878862Z 2025-08-14T21:16:46.5879079Z --- Parse Warning: 135 / 146 --- 2025-08-14T21:16:46.5879905Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1585. 2025-08-14T21:16:46.5880159Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5880250Z 2025-08-14T21:16:46.5880390Z Load a PyTorch C++ extension just-in-time (JIT). 2025-08-14T21:16:46.5880468Z 2025-08-14T21:16:46.5880678Z To load an extension, a Ninja build file is emitted, which is used to 2025-08-14T21:16:46.5880875Z compile the given sources into a dynamic library. This library is 2025-08-14T21:16:46.5881101Z subsequently loaded into the current Python process as a module and 2025-08-14T21:16:46.5881227Z returned from this function, ready for use. 2025-08-14T21:16:46.5881304Z 2025-08-14T21:16:46.5881514Z By default, the directory to which the build file is emitted and the 2025-08-14T21:16:46.5881737Z resulting library compiled to is ``/torch_extensions/``, where 2025-08-14T21:16:46.5881930Z ```` is the temporary folder on the current platform and ```` 2025-08-14T21:16:46.5882145Z the name of the extension. This location can be overridden in two ways. 2025-08-14T21:16:46.5882389Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2025-08-14T21:16:46.5882609Z replaces ``/torch_extensions`` and all extensions will be compiled 2025-08-14T21:16:46.5882816Z into subfolders of this directory. Second, if the ``build_directory`` 2025-08-14T21:16:46.5883041Z argument to this function is supplied, it overrides the entire path, i.e. 2025-08-14T21:16:46.5883212Z the library will be compiled into that folder directly. 2025-08-14T21:16:46.5883294Z 2025-08-14T21:16:46.5883494Z To compile the sources, the default system compiler (``c++``) is used, 2025-08-14T21:16:46.5883736Z which can be overridden by setting the ``CXX`` environment variable. To pass 2025-08-14T21:16:46.5883949Z additional arguments to the compilation process, ``extra_cflags`` or 2025-08-14T21:16:46.5884160Z ``extra_ldflags`` can be provided. For example, to compile your extension 2025-08-14T21:16:46.5884378Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2025-08-14T21:16:46.5884528Z ``extra_cflags`` to pass further include directories. 2025-08-14T21:16:46.5884622Z 2025-08-14T21:16:46.5884849Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2025-08-14T21:16:46.5885027Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2025-08-14T21:16:46.5885378Z detected and compiled with nvcc rather than the C++ compiler. This includes 2025-08-14T21:16:46.5885605Z passing the CUDA lib64 directory as a library directory, and linking 2025-08-14T21:16:46.5885752Z ``cudart``. You can pass additional flags to nvcc via 2025-08-14T21:16:46.5885963Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2025-08-14T21:16:46.5886185Z heuristics for finding the CUDA install directory are used, which usually 2025-08-14T21:16:46.5886400Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2025-08-14T21:16:46.5886488Z safest option. 2025-08-14T21:16:46.5886568Z 2025-08-14T21:16:46.5886804Z SYCL support with mixed compilation is provided. Simply pass SYCL source 2025-08-14T21:16:46.5886991Z files (``.sycl``) along with other sources. Such files will be detected 2025-08-14T21:16:46.5887198Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather 2025-08-14T21:16:46.5887413Z than the C++ compiler. You can pass additional flags to SYCL compiler 2025-08-14T21:16:46.5887595Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++. 2025-08-14T21:16:46.5887803Z SYCL compiler is expected to be found via system PATH environment 2025-08-14T21:16:46.5887885Z variable. 2025-08-14T21:16:46.5887963Z 2025-08-14T21:16:46.5888056Z Args: 2025-08-14T21:16:46.5888257Z name: The name of the extension to build. This MUST be the same as the 2025-08-14T21:16:46.5888361Z name of the pybind11 module! 2025-08-14T21:16:46.5888567Z sources: A list of relative or absolute paths to C++ source files. 2025-08-14T21:16:46.5888781Z extra_cflags: optional list of compiler flags to forward to the build. 2025-08-14T21:16:46.5888986Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2025-08-14T21:16:46.5889100Z when building CUDA sources. 2025-08-14T21:16:46.5889313Z extra_sycl_cflags: optional list of compiler flags to forward to SYCL 2025-08-14T21:16:46.5889442Z compiler when building SYCL sources. 2025-08-14T21:16:46.5889651Z extra_ldflags: optional list of linker flags to forward to the build. 2025-08-14T21:16:46.5889857Z extra_include_paths: optional list of include directories to forward 2025-08-14T21:16:46.5889959Z to the build. 2025-08-14T21:16:46.5890131Z build_directory: optional path to use as build workspace. 2025-08-14T21:16:46.5890302Z verbose: If ``True``, turns on verbose logging of load steps. 2025-08-14T21:16:46.5890554Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-14T21:16:46.5890708Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:46.5890913Z automatically determined based on the existence of ``.cu`` or 2025-08-14T21:16:46.5891074Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2025-08-14T21:16:46.5891183Z and libraries to be included. 2025-08-14T21:16:46.5891403Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-14T21:16:46.5891556Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:46.5891757Z automatically determined based on the existence of ``.sycl`` in 2025-08-14T21:16:46.5891924Z ``sources``. Set it to `True`` to force SYCL headers and 2025-08-14T21:16:46.5892028Z libraries to be included. 2025-08-14T21:16:46.5892233Z is_python_module: If ``True`` (default), imports the produced shared 2025-08-14T21:16:46.5892414Z library as a Python module. If ``False``, behavior depends on 2025-08-14T21:16:46.5892510Z ``is_standalone``. 2025-08-14T21:16:46.5892715Z is_standalone: If ``False`` (default) loads the constructed extension 2025-08-14T21:16:46.5892904Z into the process as a plain dynamic library. If ``True``, build a 2025-08-14T21:16:46.5893060Z standalone executable. 2025-08-14T21:16:46.5893150Z 2025-08-14T21:16:46.5893257Z Returns: 2025-08-14T21:16:46.5893378Z If ``is_python_module`` is ``True``: 2025-08-14T21:16:46.5893547Z Returns the loaded PyTorch extension as a Python module. 2025-08-14T21:16:46.5893624Z 2025-08-14T21:16:46.5893828Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2025-08-14T21:16:46.5894029Z Returns nothing. (The shared library is loaded into the process as 2025-08-14T21:16:46.5894120Z a side effect.) 2025-08-14T21:16:46.5894210Z 2025-08-14T21:16:46.5894316Z If ``is_standalone`` is ``True``. 2025-08-14T21:16:46.5894509Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2025-08-14T21:16:46.5894688Z added to the PATH environment variable as a side effect.) 2025-08-14T21:16:46.5894765Z 2025-08-14T21:16:46.5894862Z Example: 2025-08-14T21:16:46.5894961Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5895099Z >>> from torch.utils.cpp_extension import load 2025-08-14T21:16:46.5895208Z >>> module = load( 2025-08-14T21:16:46.5895303Z ... name='extension', 2025-08-14T21:16:46.5895458Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-08-14T21:16:46.5895572Z ... extra_cflags=['-O2'], 2025-08-14T21:16:46.5895662Z ... verbose=True) 2025-08-14T21:16:46.5895742Z 2025-08-14T21:16:46.5895998Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5896075Z 2025-08-14T21:16:46.5896173Z warnings.warn(msg) 2025-08-14T21:16:46.5896262Z 2025-08-14T21:16:46.5896465Z --- Parse Warning: 136 / 146 --- 2025-08-14T21:16:46.5897331Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1890. 2025-08-14T21:16:46.5897583Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5897662Z 2025-08-14T21:16:46.5897876Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2025-08-14T21:16:46.5902565Z 2025-08-14T21:16:46.5902862Z This function behaves exactly like :func:`load`, but takes its sources as 2025-08-14T21:16:46.5903091Z strings rather than filenames. These strings are stored to files in the 2025-08-14T21:16:46.5903298Z build directory, after which the behavior of :func:`load_inline` is 2025-08-14T21:16:46.5903502Z identical to :func:`load`. 2025-08-14T21:16:46.5903585Z 2025-08-14T21:16:46.5903669Z See `the 2025-08-14T21:16:46.5904014Z tests `_ 2025-08-14T21:16:46.5904139Z for good examples of using this function. 2025-08-14T21:16:46.5904234Z 2025-08-14T21:16:46.5904474Z Sources may omit two required parts of a typical non-inline C++ extension: 2025-08-14T21:16:46.5904712Z the necessary header includes, as well as the (pybind11) binding code. More 2025-08-14T21:16:46.5904956Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2025-08-14T21:16:46.5905141Z single ``.cpp`` file. This file is then prepended with ``#include 2025-08-14T21:16:46.5905240Z `` 2025-08-14T21:16:46.5905333Z 2025-08-14T21:16:46.5905549Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2025-08-14T21:16:46.5905886Z automatically generated for each function specified. ``functions`` can 2025-08-14T21:16:46.5906117Z either be a list of function names, or a dictionary mapping from function 2025-08-14T21:16:46.5906333Z names to docstrings. If a list is given, the name of each function is used 2025-08-14T21:16:46.5906442Z as its docstring. 2025-08-14T21:16:46.5906522Z 2025-08-14T21:16:46.5906817Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2025-08-14T21:16:46.5907027Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2025-08-14T21:16:46.5907230Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2025-08-14T21:16:46.5907444Z separately, but ultimately linked into a single library. Note that no 2025-08-14T21:16:46.5907678Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2025-08-14T21:16:46.5907887Z to a CUDA kernel, you must create a C++ function that calls it, and either 2025-08-14T21:16:46.5908108Z declare or define this C++ function in one of the ``cpp_sources`` (and 2025-08-14T21:16:46.5908217Z include its name in ``functions``). 2025-08-14T21:16:46.5908298Z 2025-08-14T21:16:46.5908523Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl`` 2025-08-14T21:16:46.5908731Z file and prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes. 2025-08-14T21:16:46.5908927Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately 2025-08-14T21:16:46.5909151Z linked into a single library. Note that no bindings are generated for 2025-08-14T21:16:46.5909355Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must 2025-08-14T21:16:46.5909569Z create a C++ function that calls it, and either declare or define this 2025-08-14T21:16:46.5909749Z C++ function in one of the ``cpp_sources`` (and include its name 2025-08-14T21:16:46.5909841Z in ``functions``). 2025-08-14T21:16:46.5909934Z 2025-08-14T21:16:46.5910011Z 2025-08-14T21:16:46.5910088Z 2025-08-14T21:16:46.5910282Z See :func:`load` for a description of arguments omitted below. 2025-08-14T21:16:46.5910360Z 2025-08-14T21:16:46.5910441Z Args: 2025-08-14T21:16:46.5910664Z cpp_sources: A string, or list of strings, containing C++ source code. 2025-08-14T21:16:46.5910877Z cuda_sources: A string, or list of strings, containing CUDA source code. 2025-08-14T21:16:46.5911108Z sycl_sources: A string, or list of strings, containing SYCL source code. 2025-08-14T21:16:46.5911308Z functions: A list of function names for which to generate function 2025-08-14T21:16:46.5911511Z bindings. If a dictionary is given, it should map function names to 2025-08-14T21:16:46.5911702Z docstrings (which are otherwise just the function names). 2025-08-14T21:16:46.5911913Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-08-14T21:16:46.5912065Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:46.5912305Z automatically determined based on whether ``cuda_sources`` is 2025-08-14T21:16:46.5912455Z provided. Set it to ``True`` to force CUDA headers 2025-08-14T21:16:46.5912578Z and libraries to be included. 2025-08-14T21:16:46.5912792Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-08-14T21:16:46.5912949Z the build. If set to ``None`` (default), this value is 2025-08-14T21:16:46.5913164Z automatically determined based on whether ``sycl_sources`` is 2025-08-14T21:16:46.5913311Z provided. Set it to ``True`` to force SYCL headers 2025-08-14T21:16:46.5913419Z and libraries to be included. 2025-08-14T21:16:46.5913632Z with_pytorch_error_handling: Determines whether pytorch error and 2025-08-14T21:16:46.5913823Z warning macros are handled by pytorch instead of pybind. To do 2025-08-14T21:16:46.5914049Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2025-08-14T21:16:46.5914244Z function. This redirection might cause issues in obscure cases 2025-08-14T21:16:46.5914423Z of cpp. This flag should be set to ``False`` when this redirect 2025-08-14T21:16:46.5914529Z causes issues. 2025-08-14T21:16:46.5914798Z no_implicit_headers: If ``True``, skips automatically adding headers, most notably 2025-08-14T21:16:46.5915041Z ``#include `` and ``#include `` lines. 2025-08-14T21:16:46.5915242Z Use this option to improve cold start times when you 2025-08-14T21:16:46.5915490Z already include the necessary headers in your source code. Default: ``False``. 2025-08-14T21:16:46.5915585Z 2025-08-14T21:16:46.5915672Z Example: 2025-08-14T21:16:46.5915819Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-08-14T21:16:46.5915986Z >>> from torch.utils.cpp_extension import load_inline 2025-08-14T21:16:46.5916080Z >>> source = """ 2025-08-14T21:16:46.5916226Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2025-08-14T21:16:46.5916339Z return x.sin() + y.sin(); 2025-08-14T21:16:46.5916423Z } 2025-08-14T21:16:46.5916502Z """ 2025-08-14T21:16:46.5916651Z >>> module = load_inline(name='inline_extension', 2025-08-14T21:16:46.5916775Z ... cpp_sources=[source], 2025-08-14T21:16:46.5916905Z ... functions=['sin_add']) 2025-08-14T21:16:46.5916986Z 2025-08-14T21:16:46.5917072Z .. note:: 2025-08-14T21:16:46.5917315Z Since load_inline will just-in-time compile the source code, please ensure 2025-08-14T21:16:46.5917537Z that you have the right toolchains installed in the runtime. For example, 2025-08-14T21:16:46.5917746Z when loading C++, make sure a C++ compiler is available. If you're loading 2025-08-14T21:16:46.5917992Z a CUDA extension, you will need to additionally install the corresponding CUDA 2025-08-14T21:16:46.5918228Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2025-08-14T21:16:46.5918471Z are not included when you install torch and must be additionally installed. 2025-08-14T21:16:46.5918550Z 2025-08-14T21:16:46.5918791Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2025-08-14T21:16:46.5919019Z the extension. This may use up too many resources on some systems. One 2025-08-14T21:16:46.5919233Z can control the number of workers by setting the `MAX_JOBS` environment 2025-08-14T21:16:46.5919346Z variable to a non-negative number. 2025-08-14T21:16:46.5919440Z 2025-08-14T21:16:46.5919683Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5919761Z 2025-08-14T21:16:46.5919869Z warnings.warn(msg) 2025-08-14T21:16:46.5919951Z 2025-08-14T21:16:46.5920214Z --- Parse Warning: 137 / 146 --- 2025-08-14T21:16:46.5921191Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61. 2025-08-14T21:16:46.5921447Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5921545Z 2025-08-14T21:16:46.5921830Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2025-08-14T21:16:46.5921913Z 2025-08-14T21:16:46.5922207Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2025-08-14T21:16:46.5922449Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2025-08-14T21:16:46.5922686Z server like load. It can emulate multiple calling threads to a single module 2025-08-14T21:16:46.5922920Z provided. In the future we plan to enhance this component to support inter and 2025-08-14T21:16:46.5923158Z intra-op parallelism as well as multiple models running in a single process. 2025-08-14T21:16:46.5923251Z 2025-08-14T21:16:46.5923494Z Please note that even though nn.Module is supported, it might incur an overhead 2025-08-14T21:16:46.5923708Z from the need to hold GIL every time we execute Python code or pass around 2025-08-14T21:16:46.5924012Z inputs as Python objects. As soon as you have a ScriptModule version of your 2025-08-14T21:16:46.5924264Z model for inference deployment it is better to switch to using it in this 2025-08-14T21:16:46.5924365Z benchmark. 2025-08-14T21:16:46.5924444Z 2025-08-14T21:16:46.5924532Z Example:: 2025-08-14T21:16:46.5924626Z 2025-08-14T21:16:46.5924744Z >>> # xdoctest: +SKIP("undefined vars") 2025-08-14T21:16:46.5924885Z >>> from torch.utils import ThroughputBenchmark 2025-08-14T21:16:46.5925025Z >>> bench = ThroughputBenchmark(my_module) 2025-08-14T21:16:46.5925186Z >>> # Pre-populate benchmark's data set with the inputs 2025-08-14T21:16:46.5925289Z >>> for input in inputs: 2025-08-14T21:16:46.5925513Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2025-08-14T21:16:46.5925641Z ... bench.add_input(input[0], x2=input[1]) 2025-08-14T21:16:46.5925853Z >>> # Inputs supplied above are randomly used during the execution 2025-08-14T21:16:46.5925958Z >>> stats = bench.benchmark( 2025-08-14T21:16:46.5926062Z ... num_calling_threads=4, 2025-08-14T21:16:46.5926176Z ... num_warmup_iters = 100, 2025-08-14T21:16:46.5926272Z ... num_iters = 1000, 2025-08-14T21:16:46.5926354Z ... ) 2025-08-14T21:16:46.5926538Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2025-08-14T21:16:46.5926706Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2025-08-14T21:16:46.5926787Z 2025-08-14T21:16:46.5927045Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5927123Z 2025-08-14T21:16:46.5927235Z warnings.warn(msg) 2025-08-14T21:16:46.5927314Z 2025-08-14T21:16:46.5927513Z --- Parse Warning: 138 / 146 --- 2025-08-14T21:16:46.5928435Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18. 2025-08-14T21:16:46.5928691Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5928883Z Sampler that restricts data loading to a subset of the dataset. 2025-08-14T21:16:46.5928975Z 2025-08-14T21:16:46.5929105Z It is especially useful in conjunction with 2025-08-14T21:16:46.5929363Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2025-08-14T21:16:46.5929648Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2025-08-14T21:16:46.5929871Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2025-08-14T21:16:46.5930012Z original dataset that is exclusive to it. 2025-08-14T21:16:46.5930094Z 2025-08-14T21:16:46.5930182Z .. note:: 2025-08-14T21:16:46.5930429Z Dataset is assumed to be of constant size and that any instance of it always 2025-08-14T21:16:46.5930569Z returns the same elements in the same order. 2025-08-14T21:16:46.5930661Z 2025-08-14T21:16:46.5930744Z Args: 2025-08-14T21:16:46.5930861Z dataset: Dataset used for sampling. 2025-08-14T21:16:46.5931084Z num_replicas (int, optional): Number of processes participating in 2025-08-14T21:16:46.5931322Z distributed training. By default, :attr:`world_size` is retrieved from the 2025-08-14T21:16:46.5931433Z current distributed group. 2025-08-14T21:16:46.5931678Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2025-08-14T21:16:46.5931873Z By default, :attr:`rank` is retrieved from the current distributed 2025-08-14T21:16:46.5931962Z group. 2025-08-14T21:16:46.5932191Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2025-08-14T21:16:46.5932337Z indices. 2025-08-14T21:16:46.5932537Z seed (int, optional): random seed used to shuffle the sampler if 2025-08-14T21:16:46.5932755Z :attr:`shuffle=True`. This number should be identical across all 2025-08-14T21:16:46.5932917Z processes in the distributed group. Default: ``0``. 2025-08-14T21:16:46.5933134Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2025-08-14T21:16:46.5933321Z tail of the data to make it evenly divisible across the number of 2025-08-14T21:16:46.5933513Z replicas. If ``False``, the sampler will add extra indices to make 2025-08-14T21:16:46.5933730Z the data evenly divisible across the replicas. Default: ``False``. 2025-08-14T21:16:46.5933809Z 2025-08-14T21:16:46.5933908Z .. warning:: 2025-08-14T21:16:46.5934090Z In distributed mode, calling the :meth:`set_epoch` method at 2025-08-14T21:16:46.5934343Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2025-08-14T21:16:46.5934604Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2025-08-14T21:16:46.5934725Z the same ordering will be always used. 2025-08-14T21:16:46.5934805Z 2025-08-14T21:16:46.5934904Z Example:: 2025-08-14T21:16:46.5934982Z 2025-08-14T21:16:46.5935079Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5935304Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2025-08-14T21:16:46.5935470Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2025-08-14T21:16:46.5935602Z ... sampler=sampler) 2025-08-14T21:16:46.5935734Z >>> for epoch in range(start_epoch, n_epochs): 2025-08-14T21:16:46.5935834Z ... if is_distributed: 2025-08-14T21:16:46.5935963Z ... sampler.set_epoch(epoch) 2025-08-14T21:16:46.5936059Z ... train(loader) 2025-08-14T21:16:46.5936141Z 2025-08-14T21:16:46.5936397Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5936479Z 2025-08-14T21:16:46.5936589Z warnings.warn(msg) 2025-08-14T21:16:46.5936667Z 2025-08-14T21:16:46.5936870Z --- Parse Warning: 139 / 146 --- 2025-08-14T21:16:46.5937793Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=WeightedRandomSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=227. 2025-08-14T21:16:46.5938078Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5938327Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights). 2025-08-14T21:16:46.5938420Z 2025-08-14T21:16:46.5938505Z Args: 2025-08-14T21:16:46.5938743Z weights (sequence) : a sequence of weights, not necessary summing up to one 2025-08-14T21:16:46.5938893Z num_samples (int): number of samples to draw 2025-08-14T21:16:46.5939097Z replacement (bool): if ``True``, samples are drawn with replacement. 2025-08-14T21:16:46.5939308Z If not, they are drawn without replacement, which means that when a 2025-08-14T21:16:46.5939519Z sample index is drawn for a row, it cannot be drawn again for that row. 2025-08-14T21:16:46.5939671Z generator (Generator): Generator used in sampling. 2025-08-14T21:16:46.5939765Z 2025-08-14T21:16:46.5939851Z Example: 2025-08-14T21:16:46.5939992Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-08-14T21:16:46.5940092Z >>> list( 2025-08-14T21:16:46.5940209Z ... WeightedRandomSampler( 2025-08-14T21:16:46.5940363Z ... [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True 2025-08-14T21:16:46.5940446Z ... ) 2025-08-14T21:16:46.5940598Z ... ) 2025-08-14T21:16:46.5940700Z [4, 4, 1, 4, 5] 2025-08-14T21:16:46.5940809Z >>> list( 2025-08-14T21:16:46.5940925Z ... WeightedRandomSampler( 2025-08-14T21:16:46.5941080Z ... [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False 2025-08-14T21:16:46.5941162Z ... ) 2025-08-14T21:16:46.5941241Z ... ) 2025-08-14T21:16:46.5941339Z [0, 1, 4, 3, 2] 2025-08-14T21:16:46.5941420Z 2025-08-14T21:16:46.5941664Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5941754Z 2025-08-14T21:16:46.5941850Z warnings.warn(msg) 2025-08-14T21:16:46.5941941Z 2025-08-14T21:16:46.5942133Z --- Parse Warning: 140 / 146 --- 2025-08-14T21:16:46.5942989Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BatchSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py line=300. 2025-08-14T21:16:46.5943255Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5943424Z Wraps another sampler to yield a mini-batch of indices. 2025-08-14T21:16:46.5943505Z 2025-08-14T21:16:46.5943598Z Args: 2025-08-14T21:16:46.5943815Z sampler (Sampler or Iterable): Base sampler. Can be any iterable object 2025-08-14T21:16:46.5943947Z batch_size (int): Size of mini-batch. 2025-08-14T21:16:46.5944143Z drop_last (bool): If ``True``, the sampler will drop the last batch if 2025-08-14T21:16:46.5944272Z its size would be less than ``batch_size`` 2025-08-14T21:16:46.5944362Z 2025-08-14T21:16:46.5944447Z Example: 2025-08-14T21:16:46.5944529Z >>> list( 2025-08-14T21:16:46.5944638Z ... BatchSampler( 2025-08-14T21:16:46.5944836Z ... SequentialSampler(range(10)), batch_size=3, drop_last=False 2025-08-14T21:16:46.5944922Z ... ) 2025-08-14T21:16:46.5945015Z ... ) 2025-08-14T21:16:46.5945120Z [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]] 2025-08-14T21:16:46.5945215Z >>> list( 2025-08-14T21:16:46.5945464Z ... BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True) 2025-08-14T21:16:46.5945545Z ... ) 2025-08-14T21:16:46.5945653Z [[0, 1, 2], [3, 4, 5], [6, 7, 8]] 2025-08-14T21:16:46.5945824Z 2025-08-14T21:16:46.5946070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5946162Z 2025-08-14T21:16:46.5946302Z warnings.warn(msg) 2025-08-14T21:16:46.5946382Z 2025-08-14T21:16:46.5946598Z --- Parse Warning: 141 / 146 --- 2025-08-14T21:16:46.5947510Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=IterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py line=56. 2025-08-14T21:16:46.5947765Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5947858Z 2025-08-14T21:16:46.5947961Z Iterable-style DataPipe. 2025-08-14T21:16:46.5948053Z 2025-08-14T21:16:46.5948299Z All DataPipes that represent an iterable of data samples should subclass this. 2025-08-14T21:16:46.5948545Z This style of DataPipes is particularly useful when data come from a stream, or 2025-08-14T21:16:46.5948904Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its 2025-08-14T21:16:46.5949185Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``. 2025-08-14T21:16:46.5949264Z 2025-08-14T21:16:46.5949497Z All subclasses should overwrite :meth:`__iter__`, which would return an 2025-08-14T21:16:46.5949860Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its 2025-08-14T21:16:46.5950271Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should 2025-08-14T21:16:46.5950536Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers, 2025-08-14T21:16:46.5950729Z and various state variables within the custom ``IterDataPipe``. 2025-08-14T21:16:46.5950817Z 2025-08-14T21:16:46.5950897Z Note: 2025-08-14T21:16:46.5951098Z Only `one` iterator can be valid for each ``IterDataPipe`` at a time, 2025-08-14T21:16:46.5951449Z and the creation a second iterator will invalidate the first one. This constraint is necessary because 2025-08-14T21:16:46.5951803Z some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators. 2025-08-14T21:16:46.5952073Z The code example below presents details on how this constraint looks in practice. 2025-08-14T21:16:46.5952424Z If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_. 2025-08-14T21:16:46.5952502Z 2025-08-14T21:16:46.5952786Z These DataPipes can be invoked in two ways, using the class constructor or applying their 2025-08-14T21:16:46.5953130Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes). 2025-08-14T21:16:46.5953439Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple 2025-08-14T21:16:46.5953541Z operations in succession. 2025-08-14T21:16:46.5953619Z 2025-08-14T21:16:46.5953764Z .. _GitHub IterDataPipe Single Iterator Issue: 2025-08-14T21:16:46.5953898Z https://github.com/pytorch/data/issues/45 2025-08-14T21:16:46.5953975Z 2025-08-14T21:16:46.5954068Z Note: 2025-08-14T21:16:46.5954289Z When a subclass is used with :class:`~torch.utils.data.DataLoader`, each 2025-08-14T21:16:46.5954550Z item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader` 2025-08-14T21:16:46.5954772Z iterator. When :attr:`num_workers > 0`, each worker process will have a 2025-08-14T21:16:46.5954996Z different copy of the DataPipe object, so it is often desired to configure 2025-08-14T21:16:46.5955233Z each copy independently to avoid having duplicate data returned from the 2025-08-14T21:16:46.5955461Z workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker 2025-08-14T21:16:46.5955697Z process, returns information about the worker. It can be used in either the 2025-08-14T21:16:46.5955977Z dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's 2025-08-14T21:16:46.5956153Z :attr:`worker_init_fn` option to modify each copy's behavior. 2025-08-14T21:16:46.5956232Z 2025-08-14T21:16:46.5956328Z Examples: 2025-08-14T21:16:46.5956415Z General Usage: 2025-08-14T21:16:46.5956529Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5956729Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-14T21:16:46.5956850Z >>> dp = IterableWrapper(range(10)) 2025-08-14T21:16:46.5957041Z >>> map_dp_1 = Mapper(dp, lambda x: x + 1) # Using class constructor 2025-08-14T21:16:46.5957137Z >>> map_dp_2 = dp.map( 2025-08-14T21:16:46.5957233Z ... lambda x: x + 1 2025-08-14T21:16:46.5957373Z ... ) # Using functional form (recommended) 2025-08-14T21:16:46.5957469Z >>> list(map_dp_1) 2025-08-14T21:16:46.5957565Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-14T21:16:46.5957671Z >>> list(map_dp_2) 2025-08-14T21:16:46.5957764Z [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 2025-08-14T21:16:46.5957924Z >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0) 2025-08-14T21:16:46.5958017Z >>> list(filter_dp) 2025-08-14T21:16:46.5958134Z [2, 4, 6, 8, 10] 2025-08-14T21:16:46.5958284Z Single Iterator Constraint Example: 2025-08-14T21:16:46.5958511Z >>> from torchdata.datapipes.iter import IterableWrapper, Mapper 2025-08-14T21:16:46.5958640Z >>> source_dp = IterableWrapper(range(10)) 2025-08-14T21:16:46.5958754Z >>> it1 = iter(source_dp) 2025-08-14T21:16:46.5958842Z >>> list(it1) 2025-08-14T21:16:46.5958937Z [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] 2025-08-14T21:16:46.5959047Z >>> it1 = iter(source_dp) 2025-08-14T21:16:46.5959135Z >>> it2 = iter( 2025-08-14T21:16:46.5959235Z ... source_dp 2025-08-14T21:16:46.5959389Z ... ) # The creation of a new iterator invalidates `it1` 2025-08-14T21:16:46.5959479Z >>> next(it2) 2025-08-14T21:16:46.5959570Z 0 2025-08-14T21:16:46.5959751Z >>> next(it1) # Further usage of `it1` will raise a `RunTimeError` 2025-08-14T21:16:46.5959828Z 2025-08-14T21:16:46.5960088Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5960167Z 2025-08-14T21:16:46.5960265Z warnings.warn(msg) 2025-08-14T21:16:46.5960353Z 2025-08-14T21:16:46.5960550Z --- Parse Warning: 142 / 146 --- 2025-08-14T21:16:46.5961586Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=375. 2025-08-14T21:16:46.5961838Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5961919Z 2025-08-14T21:16:46.5962367Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``). 2025-08-14T21:16:46.5962446Z 2025-08-14T21:16:46.5962625Z A list of the child DataPipes is returned from this operation. 2025-08-14T21:16:46.5962721Z 2025-08-14T21:16:46.5962806Z Args: 2025-08-14T21:16:46.5962939Z datapipe: Iterable DataPipe being filtered 2025-08-14T21:16:46.5963142Z num_instances: number of instances of the DataPipe to create 2025-08-14T21:16:46.5963497Z classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None`` 2025-08-14T21:16:46.5963821Z drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None`` 2025-08-14T21:16:46.5964125Z buffer_size: this defines the maximum number of inputs that the buffer can hold across all child 2025-08-14T21:16:46.5964334Z DataPipes while waiting for their values to be yielded. 2025-08-14T21:16:46.5964513Z Defaults to ``1000``. Use ``-1`` for the unlimited buffer. 2025-08-14T21:16:46.5964591Z 2025-08-14T21:16:46.5964674Z Examples: 2025-08-14T21:16:46.5964806Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-14T21:16:46.5964983Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:46.5965092Z >>> def odd_or_even(n): 2025-08-14T21:16:46.5965181Z ... return n % 2 2025-08-14T21:16:46.5965302Z >>> source_dp = IterableWrapper(range(5)) 2025-08-14T21:16:46.5965516Z >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even) 2025-08-14T21:16:46.5965600Z >>> list(dp1) 2025-08-14T21:16:46.5965682Z [0, 2, 4] 2025-08-14T21:16:46.5965778Z >>> list(dp2) 2025-08-14T21:16:46.5965857Z [1, 3] 2025-08-14T21:16:46.5966086Z >>> # It can also filter out any element that gets `None` from the `classifier_fn` 2025-08-14T21:16:46.5966200Z >>> def odd_or_even_no_zero(n): 2025-08-14T21:16:46.5966309Z ... return n % 2 if n != 0 else None 2025-08-14T21:16:46.5966425Z >>> dp1, dp2 = source_dp.demux( 2025-08-14T21:16:46.5966632Z ... num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True 2025-08-14T21:16:46.5966771Z ... ) 2025-08-14T21:16:46.5966869Z >>> list(dp1) 2025-08-14T21:16:46.5966973Z [2, 4] 2025-08-14T21:16:46.5967056Z >>> list(dp2) 2025-08-14T21:16:46.5967143Z [1, 3] 2025-08-14T21:16:46.5967229Z 2025-08-14T21:16:46.5967490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5967569Z 2025-08-14T21:16:46.5967665Z warnings.warn(msg) 2025-08-14T21:16:46.5967757Z 2025-08-14T21:16:46.5967951Z --- Parse Warning: 143 / 146 --- 2025-08-14T21:16:46.5968951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MultiplexerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=594. 2025-08-14T21:16:46.5969212Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5969293Z 2025-08-14T21:16:46.5969603Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``). 2025-08-14T21:16:46.5969687Z 2025-08-14T21:16:46.5970019Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration, 2025-08-14T21:16:46.5970213Z and so on. It ends when the shortest input DataPipe is exhausted. 2025-08-14T21:16:46.5970291Z 2025-08-14T21:16:46.5970372Z Args: 2025-08-14T21:16:46.5970771Z datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted 2025-08-14T21:16:46.5970850Z 2025-08-14T21:16:46.5970948Z Example: 2025-08-14T21:16:46.5971069Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-14T21:16:46.5971242Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:46.5971349Z >>> dp1, dp2, dp3 = ( 2025-08-14T21:16:46.5971460Z ... IterableWrapper(range(3)), 2025-08-14T21:16:46.5971583Z ... IterableWrapper(range(10, 15)), 2025-08-14T21:16:46.5971711Z ... IterableWrapper(range(20, 25)), 2025-08-14T21:16:46.5971793Z ... ) 2025-08-14T21:16:46.5971894Z >>> list(dp1.mux(dp2, dp3)) 2025-08-14T21:16:46.5972002Z [0, 10, 20, 1, 11, 21, 2, 12, 22] 2025-08-14T21:16:46.5972081Z 2025-08-14T21:16:46.5972324Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5972414Z 2025-08-14T21:16:46.5972508Z warnings.warn(msg) 2025-08-14T21:16:46.5972597Z 2025-08-14T21:16:46.5972779Z --- Parse Warning: 144 / 146 --- 2025-08-14T21:16:46.5973794Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZipperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py line=665. 2025-08-14T21:16:46.5974059Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5974141Z 2025-08-14T21:16:46.5974435Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``). 2025-08-14T21:16:46.5974527Z 2025-08-14T21:16:46.5974745Z The output is stopped as soon as the shortest input DataPipe is exhausted. 2025-08-14T21:16:46.5974836Z 2025-08-14T21:16:46.5974918Z Args: 2025-08-14T21:16:46.5975061Z *datapipes: Iterable DataPipes being aggregated 2025-08-14T21:16:46.5975147Z 2025-08-14T21:16:46.5975231Z Example: 2025-08-14T21:16:46.5975349Z >>> # xdoctest: +REQUIRES(module:torchdata) 2025-08-14T21:16:46.5975535Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:46.5975628Z >>> dp1, dp2, dp3 = ( 2025-08-14T21:16:46.5975736Z ... IterableWrapper(range(5)), 2025-08-14T21:16:46.5975860Z ... IterableWrapper(range(10, 15)), 2025-08-14T21:16:46.5976148Z ... IterableWrapper(range(20, 25)), 2025-08-14T21:16:46.5976358Z ... ) 2025-08-14T21:16:46.5976471Z >>> list(dp1.zip(dp2, dp3)) 2025-08-14T21:16:46.5976637Z [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)] 2025-08-14T21:16:46.5976726Z 2025-08-14T21:16:46.5976968Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5977042Z 2025-08-14T21:16:46.5977146Z warnings.warn(msg) 2025-08-14T21:16:46.5977222Z 2025-08-14T21:16:46.5977413Z --- Parse Warning: 145 / 146 --- 2025-08-14T21:16:46.5978412Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FileOpenerIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18. 2025-08-14T21:16:46.5978663Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5978754Z 2025-08-14T21:16:46.5979117Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``). 2025-08-14T21:16:46.5979197Z 2025-08-14T21:16:46.5979288Z Args: 2025-08-14T21:16:46.5979449Z datapipe: Iterable datapipe that provides pathnames 2025-08-14T21:16:46.5979618Z mode: An optional string that specifies the mode in which 2025-08-14T21:16:46.5979832Z the file is opened by ``open()``. It defaults to ``r``, other options are 2025-08-14T21:16:46.5979985Z ``b`` for reading in binary mode and ``t`` for text mode. 2025-08-14T21:16:46.5980177Z encoding: An optional string that specifies the encoding of the 2025-08-14T21:16:46.5980441Z underlying file. It defaults to ``None`` to match the default encoding of ``open``. 2025-08-14T21:16:46.5980558Z length: Nominal length of the datapipe 2025-08-14T21:16:46.5980650Z 2025-08-14T21:16:46.5980731Z Note: 2025-08-14T21:16:46.5980991Z The opened file handles will be closed by Python's GC periodically. Users can choose 2025-08-14T21:16:46.5981103Z to close them explicitly. 2025-08-14T21:16:46.5981182Z 2025-08-14T21:16:46.5981268Z Example: 2025-08-14T21:16:46.5981372Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5981501Z >>> from torchdata.datapipes.iter import ( 2025-08-14T21:16:46.5981590Z ... FileLister, 2025-08-14T21:16:46.5981688Z ... FileOpener, 2025-08-14T21:16:46.5981778Z ... StreamReader, 2025-08-14T21:16:46.5981869Z ... ) 2025-08-14T21:16:46.5982076Z >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt")) 2025-08-14T21:16:46.5982218Z >>> dp = FileOpener(dp) 2025-08-14T21:16:46.5982326Z >>> dp = StreamReader(dp) 2025-08-14T21:16:46.5982410Z >>> list(dp) 2025-08-14T21:16:46.5982501Z [('./abc.txt', 'abc')] 2025-08-14T21:16:46.5982589Z 2025-08-14T21:16:46.5982833Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5982914Z 2025-08-14T21:16:46.5983018Z warnings.warn(msg) 2025-08-14T21:16:46.5983099Z 2025-08-14T21:16:46.5983285Z --- Parse Warning: 146 / 146 --- 2025-08-14T21:16:46.5984266Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=GrouperIterDataPipe in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155. 2025-08-14T21:16:46.5984518Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-08-14T21:16:46.5984607Z 2025-08-14T21:16:46.5984999Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``. 2025-08-14T21:16:46.5985078Z 2025-08-14T21:16:46.5985193Z (functional name: ``groupby``). 2025-08-14T21:16:46.5985269Z 2025-08-14T21:16:46.5985730Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group 2025-08-14T21:16:46.5986081Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full, 2025-08-14T21:16:46.5986402Z the DataPipe will yield the largest batch with the same key, provided that its size is larger 2025-08-14T21:16:46.5986721Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``. 2025-08-14T21:16:46.5986800Z 2025-08-14T21:16:46.5987160Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity 2025-08-14T21:16:46.5987472Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``. 2025-08-14T21:16:46.5987549Z 2025-08-14T21:16:46.5987639Z Args: 2025-08-14T21:16:46.5987765Z datapipe: Iterable datapipe to be grouped 2025-08-14T21:16:46.5988032Z group_key_fn: Function used to generate group key from the data of the source datapipe 2025-08-14T21:16:46.5988271Z keep_key: Option to yield the matching key along with the items in a tuple, 2025-08-14T21:16:46.5988448Z resulting in `(key, [items])` otherwise returning [items] 2025-08-14T21:16:46.5988594Z buffer_size: The size of buffer for ungrouped data 2025-08-14T21:16:46.5988871Z group_size: The max size of each group, a batch is yielded as soon as it reaches this size 2025-08-14T21:16:46.5989187Z guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full 2025-08-14T21:16:46.5989535Z drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer 2025-08-14T21:16:46.5989633Z when the buffer is full 2025-08-14T21:16:46.5989710Z 2025-08-14T21:16:46.5989801Z Example: 2025-08-14T21:16:46.5989886Z >>> import os 2025-08-14T21:16:46.5989979Z >>> # xdoctest: +SKIP 2025-08-14T21:16:46.5990165Z >>> from torchdata.datapipes.iter import IterableWrapper 2025-08-14T21:16:46.5990262Z >>> def group_fn(file): 2025-08-14T21:16:46.5990405Z ... return os.path.basename(file).split(".")[0] 2025-08-14T21:16:46.5990525Z >>> source_dp = IterableWrapper( 2025-08-14T21:16:46.5990679Z ... ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"] 2025-08-14T21:16:46.5990767Z ... ) 2025-08-14T21:16:46.5990906Z >>> dp0 = source_dp.groupby(group_key_fn=group_fn) 2025-08-14T21:16:46.5990991Z >>> list(dp0) 2025-08-14T21:16:46.5991156Z [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']] 2025-08-14T21:16:46.5991366Z >>> # A group is yielded as soon as its size equals to `group_size` 2025-08-14T21:16:46.5991548Z >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2) 2025-08-14T21:16:46.5991639Z >>> list(dp1) 2025-08-14T21:16:46.5991792Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-14T21:16:46.5992127Z >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size` 2025-08-14T21:16:46.5992242Z >>> dp2 = source_dp.groupby( 2025-08-14T21:16:46.5992342Z ... group_key_fn=group_fn, 2025-08-14T21:16:46.5992449Z ... buffer_size=3, 2025-08-14T21:16:46.5992535Z ... group_size=3, 2025-08-14T21:16:46.5992639Z ... guaranteed_group_size=2, 2025-08-14T21:16:46.5992725Z ... ) 2025-08-14T21:16:46.5992812Z >>> list(dp2) 2025-08-14T21:16:46.5992966Z [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']] 2025-08-14T21:16:46.5993054Z 2025-08-14T21:16:46.5993295Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-08-14T21:16:46.5993372Z 2025-08-14T21:16:46.5993477Z warnings.warn(msg) 2025-08-14T21:16:46.5993553Z 2025-08-14T21:16:46.5993692Z  2025-08-14T21:16:46.5993863Z === Found 8 run-time warnings === 2025-08-14T21:16:46.5994105Z --- Runtime Warning: 1 / 8 --- 2025-08-14T21:16:46.5994400Z example = 2025-08-14T21:16:46.5995671Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1978.) 2025-08-14T21:16:46.5995778Z return super().refine_names(names) 2025-08-14T21:16:46.5995864Z 2025-08-14T21:16:46.5996045Z --- Runtime Warning: 2 / 8 --- 2025-08-14T21:16:46.5996352Z example = 2025-08-14T21:16:46.5996950Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-08-14T21:16:46.5997249Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-08-14T21:16:46.5997462Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-08-14T21:16:46.5997750Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-08-14T21:16:46.5997858Z dispatch key: CPU 2025-08-14T21:16:46.5998268Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-08-14T21:16:46.5998799Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.) 2025-08-14T21:16:46.5998967Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-08-14T21:16:46.5999045Z 2025-08-14T21:16:46.5999223Z --- Runtime Warning: 3 / 8 --- 2025-08-14T21:16:46.5999468Z example = 2025-08-14T21:16:46.6001215Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-08-14T21:16:46.6001461Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-08-14T21:16:46.6001574Z 2025-08-14T21:16:46.6001753Z --- Runtime Warning: 4 / 8 --- 2025-08-14T21:16:46.6002055Z example = 2025-08-14T21:16:46.6003477Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-08-14T21:16:46.6003652Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-08-14T21:16:46.6003728Z 2025-08-14T21:16:46.6003902Z --- Runtime Warning: 5 / 8 --- 2025-08-14T21:16:46.6004195Z example = 2025-08-14T21:16:46.6005219Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-08-14T21:16:46.6005322Z warnings.warn( 2025-08-14T21:16:46.6005400Z 2025-08-14T21:16:46.6005644Z --- Runtime Warning: 6 / 8 --- 2025-08-14T21:16:46.6005980Z example = 2025-08-14T21:16:46.6007034Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-08-14T21:16:46.6007136Z warnings.warn( 2025-08-14T21:16:46.6007214Z 2025-08-14T21:16:46.6007387Z --- Runtime Warning: 7 / 8 --- 2025-08-14T21:16:46.6007670Z example = 2025-08-14T21:16:46.6008449Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-08-14T21:16:46.6008586Z WeightNorm.apply(module, name, dim) 2025-08-14T21:16:46.6008665Z 2025-08-14T21:16:46.6008843Z --- Runtime Warning: 8 / 8 --- 2025-08-14T21:16:46.6009150Z example = 2025-08-14T21:16:46.6009915Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-08-14T21:16:46.6010029Z WeightNorm.apply(module, name, dim) 2025-08-14T21:16:46.6010121Z 2025-08-14T21:16:46.6010420Z === 338 passed, 394 skipped, 154 warnings in 13.69 seconds === 2025-08-14T21:16:46.6010647Z Running inductor/test_max_autotune 1/1 ... [2025-08-14 21:16:46.362599] 2025-08-14T21:16:46.6010755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:16:46.6011586Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:16:46.362974] 2025-08-14T21:16:53.3003501Z 2025-08-14T21:16:53.3004432Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_24dfc50e8944be4f_.log 2025-08-14T21:16:53.3005150Z 2025-08-14T21:16:53.3007744Z Running inductor/test_flex_attention 1/1 ... [2025-08-14 21:16:53.300643] 2025-08-14T21:16:53.3008199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:16:53.3011548Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:16:53.300932] 2025-08-14T21:16:59.5740896Z 2025-08-14T21:16:59.5741869Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_86fd45988eb1f1b3_.log 2025-08-14T21:16:59.6064616Z Running 638 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod3_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod4_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod5_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_autograd_function_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_block_mask_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_seqlen_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_dynamic_score_mask_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod2_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod4_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod4_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod5_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod5_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod7_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod7_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_custom_sparse_block_size_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_seqlen_lt_default_sparse_block_size_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_cant_lower_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_buffers_all_dims_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_buffers_all_dims_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_buffers_all_dims_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_reduction_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_scale_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_score_mod_aot_eager_gradcheck_score_mod_name__head_offset_mode_aot_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_score_mod_aot_eager_gradcheck_score_mod_name__head_offset_mode_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_captured_wrong_device_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_non_divisible_with_captured_buffer_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_causal_block_paged_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_cpu_error_message_return_lse_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_custom_block_mask_generator_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_debug_flag_disables_internal_compilation_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dependent_causal_bidirectional_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_device_cuda_1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_differentiable_logsumexp_compiled_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_differentiable_logsumexp_gradcheck_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_doc_mask_sparse_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_document_masking_edge_case_mode_aot_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_document_masking_edge_case_mode_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_divisibility_guards_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_bug_dynamic_batch_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_with_custom_kernel_options_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_dynamic_shapes_with_max_autotune_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_eager_backward_strides_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_epilogue_fused_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order2_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_eager_permute_order4_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order1_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order2_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_backward_stride_ordering_mode_inductor_permute_order4_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order2_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_eager_permute_order4_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order1_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order2_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_inductor_permute_order4_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order0_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order1_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order1_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order2_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order2_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order3_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order4_shape0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_flex_attention_stride_ordering_mode_paged_attention_permute_order4_shape1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_float32_matmul_precision_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_force_write_lse_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_free_symbol_dynamic_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_fully_masked_out_rows_0_check_compile_False_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_fully_masked_out_rows_0_check_compile_True_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_fully_masked_out_rows_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_function_composition_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_function_composition_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_function_composition_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_fw_bw_graph_correctness_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_index_multiple_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_index_weird1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_index_weird2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_inputs_are_realized_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_invalid_block_size_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kernel_options_argument_is_respected_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims0_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims1_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_batch_dims2_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims0_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims1_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims0_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_kv_batch_broadcast_causal_mask_batch_dims2_head_dims1_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_large_batch_heads_grid_dimension_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_from_bias_head_seq_batch_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_from_bias_seq_batch_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_from_bias_seq_only_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_from_view_buffer_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_load_rel_bias_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_correctness_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_logsumexp_only_return_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_lse_masked_output_backend_eager_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_lse_masked_output_backend_flex_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_lse_masked_output_backend_flex_decode_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_make_block_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mask_mod_combiners_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_max_autotune_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_max_autotune_with_captured_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mixed_device_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_mixed_dtypes_fails_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_modular_indexing_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_mask_calls_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls2_paged_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_multiple_score_mod_calls_paged_attention_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_natten_2d_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_new_empty_mask_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_njt_causal_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_njt_causal_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_njt_causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_contiguous_last_dim_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_divisible_with_captured_buffer_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod0_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod1_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod2_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod3_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod4_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod5_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod5_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod5_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod5_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod5_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod5_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod6_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims0_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims1_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_equal_head_dims_score_mod7_head_dims1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_121_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_17_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_24_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_non_pow_2_headdim_head_dim_94_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_num_warps_8_error_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_padded_dense_causal_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_qkv_and_block_mask_on_the_same_device_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_recompile_changed_score_mod_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_reduction_unrolled_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_selective_ac_ops_to_save0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_selective_ac_ops_to_save1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_selective_ac_ops_to_save2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_seq_masking_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_silu_on_score_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_skip_odd_keys_cpu_bfloat16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_skip_odd_keys_cpu_float16, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_skip_odd_keys_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_small_block_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_small_q_kv_len_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_backwards_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s0_v_s0_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s0_v_s0_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s0_v_s0_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s1_v_s1_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s1_v_s1_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s1_v_s1_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s2_v_s2_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s2_v_s2_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s2_v_s2_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s3_v_s3_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s3_v_s3_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s0_k_s3_v_s3_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s0_v_s0_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s1_v_s1_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s1_v_s1_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s1_v_s1_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s2_v_s2_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s2_v_s2_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s2_v_s2_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s3_v_s3_do_s0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s3_v_s3_do_s1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_strided_inputs_q_s1_k_s3_v_s3_do_s2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_subgraph_respect_decompostion_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_symbol_closure_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_tensor_subclass_dispatch_order_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_tma_with_customer_kernel_options_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_triton_template_warp_specialization_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_validate_small_embedding_size_error_message_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_zero_length_sequence_error_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_allocate_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_convert_logical_block_mask_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_convert_mask_mod_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_page_allocation_cpu, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod0_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod0_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod1_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod1_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod2_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod2_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod3_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod3_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod5_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod5_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod6_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod6_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod7_cpu_bfloat16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod7_cpu_float16, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_paged_builtin_score_mods_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestPagedAttentionCPU::test_update_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_absolute_2d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_batch_head_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_comparison_vs_sdpa_with_learnable_bias_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_distinct_biases_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flex_attention_with_dynamic_max_autotune_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flex_attention_with_dynamic_max_autotune_graph_partition_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_flipped_indexed_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_global_tokens_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_bias_req_grad_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_inspect_bug_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu 2025-08-14T21:16:59.6378438Z 2025-08-14T21:16:59.6378699Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-14 21:16:59.575398] 2025-08-14T21:16:59.6379169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:16:59.6380257Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:16:59.575732] 2025-08-14T21:17:13.6600822Z 2025-08-14T21:17:13.6602323Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_d355e8bf17cda677_.log 2025-08-14T21:17:13.6607725Z Running 6 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_avoid_register_spilling_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_foreach_kernel_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_register_spills_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_resnet18_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_softmax_cpu, test/inductor/test_benchmark_fusion.py::BenchmarkFusionCpuTest::test_tield_kernel_fusion_cpu 2025-08-14T21:17:13.6611871Z 2025-08-14T21:17:13.6612149Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-14 21:17:13.660360] 2025-08-14T21:17:13.6612609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:17:13.6613830Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:13.660784] 2025-08-14T21:17:20.5466883Z 2025-08-14T21:17:20.5467891Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_1fdc8e87261b69cc_.log 2025-08-14T21:17:20.5468643Z 2025-08-14T21:17:20.5470458Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-14 21:17:20.546894] 2025-08-14T21:17:20.5470920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:17:20.5473918Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:20.547203] 2025-08-14T21:17:30.1252597Z 2025-08-14T21:17:30.1253554Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_b149a5478dee2197_.log 2025-08-14T21:17:30.1254736Z Running 1 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd 2025-08-14T21:17:30.1255323Z 2025-08-14T21:17:30.1255816Z Running test_cpp_api_parity 1/1 ... [2025-08-14 21:17:30.125457] 2025-08-14T21:17:30.1256211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:17:30.1259446Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:30.125760] 2025-08-14T21:17:40.3547416Z 2025-08-14T21:17:40.3548280Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_967fbe48b5539edb_.log 2025-08-14T21:17:40.3729772Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_padded_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_depthwise_with_multiplier_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_groups_thnn_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv2d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_1x1x1_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_strided, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_dilated_strided_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride_padding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_stride_padding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zero_batch, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zero_batch_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zeros_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv3d_zeros_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose1d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose2d_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ConvTranspose3d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CrossMapLRN2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_CrossMapLRN2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Embedding, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_discontiguous, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_discontiguous_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_max, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_max_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_max_padding_idx, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_max_padding_idx_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_mean_padding_idx, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_mean_padding_idx_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_sparse, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_sparse_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_sum_padding_idx, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_EmbeddingBag_sum_padding_idx_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Embedding_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Embedding_discontiguous, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Embedding_discontiguous_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Embedding_sparse, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Embedding_sparse_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Flatten, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Flatten_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Flatten_no_batch_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Flatten_no_batch_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_int_input, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_int_input_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_no_batch_dim_input, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_no_batch_dim_input_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_no_batch_dim_int_input, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Fold_no_batch_dim_int_input_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_LayerNorm_3d_no_affine_large_feature, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_LayerNorm_3d_no_affine_large_feature_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Linear, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Linear_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Linear_no_batch_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Linear_no_batch_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Linear_no_bias, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Linear_no_bias_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MarginRankingLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MarginRankingLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MarginRankingLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MarginRankingLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MarginRankingLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MarginRankingLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_NLLLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_NLLLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_NLLLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_NLLLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_NLLLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_NLLLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_broadcast_lhs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_broadcast_lhs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_broadcast_rhs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_broadcast_rhs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_no_batch_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_no_batch_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_with_non_default_args, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PairwiseDistance_with_non_default_args_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PixelShuffle, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PixelShuffle_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PixelUnshuffle, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_PixelUnshuffle_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_RReLU, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_RReLU_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_RReLU_with_up_down, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_RReLU_with_up_down_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_RReLU_with_up_down_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_RReLU_with_up_down_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ReplicationPad3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ReplicationPad3d_complex, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ReplicationPad3d_complex_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ReplicationPad3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ReplicationPad3d_no_batch_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_ReplicationPad3d_no_batch_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SampleModule_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SampleModule_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SampleModule_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SampleModule_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SoftMarginLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SoftMarginLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SoftMarginLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SoftMarginLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SoftMarginLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_SoftMarginLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerDecoderLayer_gelu_activation, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerDecoderLayer_gelu_activation_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerDecoderLayer_relu_activation, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerDecoderLayer_relu_activation_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerEncoderLayer_gelu_activation, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerEncoderLayer_gelu_activation_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerEncoderLayer_relu_activation, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TransformerEncoderLayer_relu_activation_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Transformer_multilayer_coder, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Transformer_multilayer_coder_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TripletMarginLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TripletMarginLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TripletMarginLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TripletMarginLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TripletMarginLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_TripletMarginLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Unflatten_no_batch_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Unflatten_no_batch_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Unfold, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Unfold_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Unfold_int_input, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Unfold_int_input_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_weights_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_weights_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_weights_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCELoss_weights_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCEWithLogitsLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_HingeEmbeddingLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_HingeEmbeddingLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_HuberLoss_delta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_HuberLoss_delta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_log_target, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_log_target_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_with_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_KLDivLoss_with_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_L1Loss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_L1Loss_no_reduce_complex, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_L1Loss_no_reduce_complex_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_L1Loss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_L1Loss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_L1Loss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MSELoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MSELoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MSELoss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MSELoss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_index_neg, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_index_neg_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_1d_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_1d_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_margin_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_margin_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_p_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_p_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_weights_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_MultiMarginLoss_weights_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss2d_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLossNd_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_PoissonNLLLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_PoissonNLLLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2025-08-14T21:17:40.3906825Z 2025-08-14T21:17:40.3907197Z Running test_transformers_privateuse1 1/1 ... [2025-08-14 21:17:40.355743] 2025-08-14T21:17:41.9372723Z -- The CXX compiler identification is Clang 12.0.1 2025-08-14T21:17:42.0487075Z -- The C compiler identification is Clang 12.0.1 2025-08-14T21:17:42.0723376Z -- Detecting CXX compiler ABI info 2025-08-14T21:17:42.2762905Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:17:42.2900780Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:17:42.2908452Z -- Detecting CXX compile features 2025-08-14T21:17:42.2920520Z -- Detecting CXX compile features - done 2025-08-14T21:17:42.3117795Z -- Detecting C compiler ABI info 2025-08-14T21:17:42.4308677Z -- Detecting C compiler ABI info - done 2025-08-14T21:17:42.4436869Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:17:42.4440117Z -- Detecting C compile features 2025-08-14T21:17:42.4444772Z -- Detecting C compile features - done 2025-08-14T21:17:42.5790709Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-14T21:17:42.5791472Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-14T21:17:42.5791832Z Call Stack (most recent call first): 2025-08-14T21:17:42.5792521Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-14T21:17:42.5793225Z CMakeLists.txt:27 (find_package) 2025-08-14T21:17:42.5793425Z 2025-08-14T21:17:42.5793552Z  2025-08-14T21:17:42.5799177Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-08-14T21:17:42.5850359Z -- Configuring done (0.9s) 2025-08-14T21:17:42.5969153Z -- Generating done (0.0s) 2025-08-14T21:17:42.5981939Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-14T21:17:42.7453452Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-14T21:17:42.7454333Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-14T21:17:42.8736181Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-14T21:17:42.9546840Z [ 17%] Built target openreg 2025-08-14T21:17:42.9638962Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-14T21:17:42.9640519Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-14T21:17:42.9642198Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-14T21:17:42.9643637Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-14T21:17:42.9645215Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-14T21:17:42.9646790Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-14T21:17:42.9648410Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-14T21:17:42.9651421Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-14T21:17:42.9658609Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-14T21:17:42.9661332Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-14T21:17:42.9665083Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-14T21:17:43.6200692Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-14T21:17:44.1381592Z [ 88%] Built target torch_openreg 2025-08-14T21:17:44.1467721Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-14T21:17:44.7680195Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-14T21:17:44.9232042Z [100%] Built target torch_bindings 2025-08-14T21:17:44.9298654Z Install the project... 2025-08-14T21:17:44.9324105Z -- Install configuration: "" 2025-08-14T21:17:44.9960909Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-14T21:17:44.9961833Z !! 2025-08-14T21:17:44.9961943Z 2025-08-14T21:17:44.9962102Z ******************************************************************************** 2025-08-14T21:17:44.9962929Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-08-14T21:17:44.9963627Z 2025-08-14T21:17:44.9963845Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-14T21:17:44.9964332Z or your builds will no longer be supported. 2025-08-14T21:17:44.9964574Z 2025-08-14T21:17:44.9964951Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-14T21:17:44.9965519Z ******************************************************************************** 2025-08-14T21:17:44.9965768Z 2025-08-14T21:17:44.9965848Z !! 2025-08-14T21:17:44.9966065Z corresp(dist, value, root_dir) 2025-08-14T21:17:45.0507103Z running install 2025-08-14T21:17:45.0521826Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:17:45.0522585Z !! 2025-08-14T21:17:45.0522692Z 2025-08-14T21:17:45.0522827Z ******************************************************************************** 2025-08-14T21:17:45.0523188Z Please avoid running ``setup.py`` directly. 2025-08-14T21:17:45.0523593Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:17:45.0523955Z standards-based tools. 2025-08-14T21:17:45.0524142Z 2025-08-14T21:17:45.0524372Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:17:45.0524825Z or your builds will no longer be supported. 2025-08-14T21:17:45.0525070Z 2025-08-14T21:17:45.0525355Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:17:45.0525868Z ******************************************************************************** 2025-08-14T21:17:45.0526100Z 2025-08-14T21:17:45.0526191Z !! 2025-08-14T21:17:45.0526618Z self.initialize_options() 2025-08-14T21:17:45.0665401Z running build 2025-08-14T21:17:45.0665728Z running build_py 2025-08-14T21:17:45.0754805Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-14T21:17:45.0756608Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-14T21:17:45.0764833Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-14T21:17:45.0765979Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-14T21:17:45.0773629Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-14T21:17:45.0784871Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:17:45.0786094Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:17:45.0801149Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:17:45.0924310Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:17:45.0965827Z running build_ext 2025-08-14T21:17:45.1089903Z building 'torch_openreg._C' extension 2025-08-14T21:17:45.1091840Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-08-14T21:17:45.1095360Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -g -Wall -Werror 2025-08-14T21:17:45.2699758Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-14T21:17:45.2948158Z running install_lib 2025-08-14T21:17:45.3035553Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-14T21:17:45.3038676Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-14T21:17:45.3040080Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-14T21:17:45.3041980Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-14T21:17:45.3043328Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-14T21:17:45.3044841Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/random.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-08-14T21:17:45.3046399Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:17:45.3047664Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:17:45.3049825Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:17:45.3070134Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:17:45.3076344Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-14T21:17:45.3082620Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/__init__.py to __init__.cpython-313.pyc 2025-08-14T21:17:45.3086146Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-313.pyc 2025-08-14T21:17:45.3092318Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/random.py to random.cpython-313.pyc 2025-08-14T21:17:45.3098021Z running install_egg_info 2025-08-14T21:17:45.3270670Z running egg_info 2025-08-14T21:17:45.3355905Z creating torch_openreg.egg-info 2025-08-14T21:17:45.3357217Z writing torch_openreg.egg-info/PKG-INFO 2025-08-14T21:17:45.3361910Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-14T21:17:45.3364032Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-14T21:17:45.3365106Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-14T21:17:45.3366477Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-14T21:17:45.3459994Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-14T21:17:45.3468257Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-14T21:17:45.3469613Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-08-14T21:17:45.3476389Z running install_scripts 2025-08-14T21:17:45.6949712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:17:45.6952745Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:45.695060] 2025-08-14T21:17:49.0641475Z 2025-08-14T21:17:49.0642473Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_fc4bac0eebad8eff_.log 2025-08-14T21:17:49.0644803Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward 2025-08-14T21:17:49.0646385Z 2025-08-14T21:17:49.0646598Z Running test_extension_utils 1/1 ... [2025-08-14 21:17:49.064369] 2025-08-14T21:17:49.0647010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:17:49.0648609Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:49.064687] 2025-08-14T21:17:52.3836386Z 2025-08-14T21:17:52.3837256Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_640b824acc366c84_.log 2025-08-14T21:17:52.3838726Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend 2025-08-14T21:17:52.3839618Z 2025-08-14T21:17:52.3840232Z Running test_fx 1/1 ... [2025-08-14 21:17:52.383892] 2025-08-14T21:17:52.3840594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:17:52.3844163Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:52.384217] 2025-08-14T21:21:54.3686130Z 2025-08-14T21:21:54.3687008Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_e43219cadbb1b076_.log 2025-08-14T21:21:54.4138009Z Running 1260 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2 2025-08-14T21:21:54.4577410Z 2025-08-14T21:21:54.4577628Z Running test_fake_tensor 1/1 ... [2025-08-14 21:21:54.370283] 2025-08-14T21:21:54.4578029Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:21:54.4579057Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:54.370614] 2025-08-14T21:22:07.2037916Z 2025-08-14T21:22:07.2039009Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_673b52a580714d5f_.log 2025-08-14T21:22:07.2149148Z Running 290 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only 2025-08-14T21:22:07.2257711Z 2025-08-14T21:22:07.2257885Z Running test_openreg 1/1 ... [2025-08-14 21:22:07.204511] 2025-08-14T21:22:08.6738768Z -- The CXX compiler identification is Clang 12.0.1 2025-08-14T21:22:08.7480397Z -- The C compiler identification is Clang 12.0.1 2025-08-14T21:22:08.7561718Z -- Detecting CXX compiler ABI info 2025-08-14T21:22:08.9517441Z -- Detecting CXX compiler ABI info - done 2025-08-14T21:22:08.9653399Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-08-14T21:22:08.9656886Z -- Detecting CXX compile features 2025-08-14T21:22:08.9663069Z -- Detecting CXX compile features - done 2025-08-14T21:22:08.9777747Z -- Detecting C compiler ABI info 2025-08-14T21:22:09.0967741Z -- Detecting C compiler ABI info - done 2025-08-14T21:22:09.1095718Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-08-14T21:22:09.1099156Z -- Detecting C compile features 2025-08-14T21:22:09.1103732Z -- Detecting C compile features - done 2025-08-14T21:22:09.2245898Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-08-14T21:22:09.2246625Z static library kineto_LIBRARY-NOTFOUND not found. 2025-08-14T21:22:09.2246994Z Call Stack (most recent call first): 2025-08-14T21:22:09.2247680Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-08-14T21:22:09.2248367Z CMakeLists.txt:27 (find_package) 2025-08-14T21:22:09.2248581Z 2025-08-14T21:22:09.2248705Z  2025-08-14T21:22:09.2254260Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-08-14T21:22:09.2280864Z -- Configuring done (0.7s) 2025-08-14T21:22:09.2402912Z -- Generating done (0.0s) 2025-08-14T21:22:09.2416588Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-08-14T21:22:09.3933680Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-08-14T21:22:09.3934528Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-08-14T21:22:09.4937961Z [ 17%] Linking CXX shared library libopenreg.so 2025-08-14T21:22:09.5753941Z [ 17%] Built target openreg 2025-08-14T21:22:09.5845279Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-08-14T21:22:09.5847075Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-08-14T21:22:09.5849156Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-08-14T21:22:09.5850626Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-08-14T21:22:09.5851972Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-08-14T21:22:09.5855040Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-08-14T21:22:09.5856589Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-08-14T21:22:09.5860746Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-08-14T21:22:09.5866338Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-08-14T21:22:09.5869495Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-08-14T21:22:09.5871569Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-08-14T21:22:10.2239317Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-08-14T21:22:10.7584025Z [ 88%] Built target torch_openreg 2025-08-14T21:22:10.7670687Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-08-14T21:22:11.6154468Z [100%] Linking CXX shared library libtorch_bindings.so 2025-08-14T21:22:11.7731639Z [100%] Built target torch_bindings 2025-08-14T21:22:11.7796852Z Install the project... 2025-08-14T21:22:11.7821564Z -- Install configuration: "" 2025-08-14T21:22:11.8392531Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-08-14T21:22:11.8393438Z !! 2025-08-14T21:22:11.8393565Z 2025-08-14T21:22:11.8393875Z ******************************************************************************** 2025-08-14T21:22:11.8394718Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-08-14T21:22:11.8395420Z 2025-08-14T21:22:11.8395662Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-08-14T21:22:11.8396137Z or your builds will no longer be supported. 2025-08-14T21:22:11.8396387Z 2025-08-14T21:22:11.8396751Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-08-14T21:22:11.8397330Z ******************************************************************************** 2025-08-14T21:22:11.8397564Z 2025-08-14T21:22:11.8397655Z !! 2025-08-14T21:22:11.8397860Z corresp(dist, value, root_dir) 2025-08-14T21:22:11.8712179Z running install 2025-08-14T21:22:11.8714397Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:22:11.8715149Z !! 2025-08-14T21:22:11.8715268Z 2025-08-14T21:22:11.8715404Z ******************************************************************************** 2025-08-14T21:22:11.8715999Z Please avoid running ``setup.py`` directly. 2025-08-14T21:22:11.8716392Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:22:11.8716805Z standards-based tools. 2025-08-14T21:22:11.8716995Z 2025-08-14T21:22:11.8717212Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:22:11.8717673Z or your builds will no longer be supported. 2025-08-14T21:22:11.8717906Z 2025-08-14T21:22:11.8718206Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:22:11.8718715Z ******************************************************************************** 2025-08-14T21:22:11.8718962Z 2025-08-14T21:22:11.8719042Z !! 2025-08-14T21:22:11.8719257Z self.initialize_options() 2025-08-14T21:22:11.8855785Z running build 2025-08-14T21:22:11.8856031Z running build_py 2025-08-14T21:22:11.8941416Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-14T21:22:11.8942722Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-08-14T21:22:11.8945295Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-14T21:22:11.8946595Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-14T21:22:11.8948286Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-08-14T21:22:11.8953813Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:22:11.8954860Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:22:11.8969843Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:22:11.9086724Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-08-14T21:22:11.9129136Z running build_ext 2025-08-14T21:22:11.9223733Z building 'torch_openreg._C' extension 2025-08-14T21:22:11.9225478Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-08-14T21:22:11.9228967Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -g -Wall -Werror 2025-08-14T21:22:12.0125901Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-08-14T21:22:12.0360402Z running install_lib 2025-08-14T21:22:12.0451704Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:22:12.0453748Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:22:12.0475061Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-08-14T21:22:12.0481611Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-08-14T21:22:12.0487704Z running install_egg_info 2025-08-14T21:22:12.0652324Z running egg_info 2025-08-14T21:22:12.0733836Z writing torch_openreg.egg-info/PKG-INFO 2025-08-14T21:22:12.0738640Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-08-14T21:22:12.0740949Z writing requirements to torch_openreg.egg-info/requires.txt 2025-08-14T21:22:12.0742312Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-08-14T21:22:12.0831894Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-14T21:22:12.0841513Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-08-14T21:22:12.0843309Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info' (and everything under it) 2025-08-14T21:22:12.0844961Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-08-14T21:22:12.0851358Z running install_scripts 2025-08-14T21:22:12.4398027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:22:12.4401618Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:12.439917] 2025-08-14T21:22:17.1608804Z 2025-08-14T21:22:17.1609800Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_218a3041267c3bce_.log 2025-08-14T21:22:17.1620987Z Running 44 items in this shard: test/test_openreg.py::TestPrivateUse1::test_backend_dispatchstub, test/test_openreg.py::TestPrivateUse1::test_backend_generate_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_function, test/test_openreg.py::TestPrivateUse1::test_backend_module_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_registration, test/test_openreg.py::TestPrivateUse1::test_backend_name, test/test_openreg.py::TestPrivateUse1::test_backend_operator_registration, test/test_openreg.py::TestPrivateUse1::test_backend_packed_sequence_methods, test/test_openreg.py::TestPrivateUse1::test_backend_storage_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_type, test/test_openreg.py::TestPrivateUse1::test_backend_type_methods, test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_aliasing, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_returns_self, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_fake_tensor, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_manual_seed, test/test_openreg.py::TestOpenReg::test_named_tensor, test/test_openreg.py::TestOpenReg::test_open_device_cpu_serialization, test/test_openreg.py::TestOpenReg::test_open_device_dlpack, test/test_openreg.py::TestOpenReg::test_open_device_numpy_serialization, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_quantize, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_resize, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_scalar_type_fallback, test/test_openreg.py::TestOpenReg::test_serialization, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream, test/test_openreg.py::TestOpenReg::test_tensor_type_fallback, test/test_openreg.py::TestOpenReg::test_tensorlist_type_fallback 2025-08-14T21:22:17.1631744Z 2025-08-14T21:22:17.1631936Z Running test_show_pickle 1/1 ... [2025-08-14 21:22:17.161101] 2025-08-14T21:22:17.1632315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:22:17.1633318Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:17.161393] 2025-08-14T21:22:20.4802257Z 2025-08-14T21:22:20.4803110Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_5b180616a6eccc04_.log 2025-08-14T21:22:20.4804036Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-08-14T21:22:20.4804476Z 2025-08-14T21:22:20.4806191Z Running test_tensorexpr 1/1 ... [2025-08-14 21:22:20.480464] 2025-08-14T21:22:20.4806598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:22:20.4809860Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:20.480789] 2025-08-14T21:22:41.6280886Z 2025-08-14T21:22:41.6281723Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_94e3830e5e53a630_.log 2025-08-14T21:22:41.6301087Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where 2025-08-14T21:22:41.6319908Z 2025-08-14T21:22:41.6320067Z Running test_torch 1/1 ... [2025-08-14 21:22:41.628383] 2025-08-14T21:22:41.6320435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:22:41.6321431Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:41.628695] 2025-08-14T21:22:58.7672786Z 2025-08-14T21:22:58.7673578Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_bdcd50c9fd3342c9_.log 2025-08-14T21:22:58.7982261Z Running 1045 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_errors_index_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_non_accumulate_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_mean_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumprod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumsum_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_clone_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_consistency_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_preserved_after_permute_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_propagation_rules_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_shortcuts_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_module_share_memory_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_deterministic_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_w_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_empty_wo_replacement_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_gpu_device_constrain_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_rng_state_advance_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_copy_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_CTCLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_NLLLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_bincount_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_histc_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bicubic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_linear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_kthvalue_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_median_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_accumulate_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint2x4, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nullary_op_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pairwise_distance_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_norm_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pickle_gradscaler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pin_memory_from_constructor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_repeat_interleave_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scalar_check_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_non_unique_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_one_dim_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_operations_to_large_input_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_zero_size_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_serialization_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_default_tensor_type_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_set_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_shift_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_skip_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_True_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2025-08-14T21:22:58.8284167Z 2025-08-14T21:22:58.8284359Z Running test_utils 1/1 ... [2025-08-14 21:22:58.768656] 2025-08-14T21:22:58.8284738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:22:58.8285726Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:58.768964] 2025-08-14T21:26:15.3967171Z 2025-08-14T21:26:15.3971428Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_1bd4979e2a46395f_.log 2025-08-14T21:26:15.6016101Z Running 6045 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_1d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atleast_3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_baddbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bernoulli_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_legendre_polynomial_p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_k1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_ndtri_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_scaled_modified_bessel_k1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_shifted_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated 2025-08-14T21:26:15.8384685Z 2025-08-14T21:26:15.8385091Z Running test_python_dispatch 1/1 ... [2025-08-14 21:26:15.405891] 2025-08-14T21:26:15.8385928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:26:15.8387890Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:15.406352] 2025-08-14T21:26:20.9787611Z 2025-08-14T21:26:20.9788974Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_b99d3226d95d0340_.log 2025-08-14T21:26:20.9832093Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2025-08-14T21:26:20.9873715Z 2025-08-14T21:26:20.9873894Z Running test_dispatch 1/1 ... [2025-08-14 21:26:20.979042] 2025-08-14T21:26:20.9874283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:26:20.9875276Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:20.979333] 2025-08-14T21:26:47.6794731Z 2025-08-14T21:26:47.6795577Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_59dfc46d1547e809_.log 2025-08-14T21:26:47.6805524Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2025-08-14T21:26:47.6814635Z 2025-08-14T21:26:47.6814864Z Running test_namedtuple_return_api 1/1 ... [2025-08-14 21:26:47.679691] 2025-08-14T21:26:47.6815306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:26:47.6816352Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:47.679988] 2025-08-14T21:26:51.8998828Z 2025-08-14T21:26:51.9000147Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_964ae841307ac9fb_.log 2025-08-14T21:26:51.9001897Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2025-08-14T21:26:51.9003198Z 2025-08-14T21:26:51.9003406Z Running test_multiprocessing 1/1 ... [2025-08-14 21:26:51.900107] 2025-08-14T21:26:51.9003829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:26:51.9006006Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:51.900398] 2025-08-14T21:27:52.8504279Z 2025-08-14T21:27:52.8505220Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_b10a8d032e3b687c_.log 2025-08-14T21:27:52.8520579Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2025-08-14T21:27:52.8535132Z 2025-08-14T21:27:52.8535344Z Running test_autograd_fallback 1/1 ... [2025-08-14 21:27:52.850673] 2025-08-14T21:27:52.8535843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:27:52.8536951Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:52.851002] 2025-08-14T21:27:56.2197505Z 2025-08-14T21:27:56.2198365Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_7d4cf0d09d8bdad3_.log 2025-08-14T21:27:56.2210900Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn 2025-08-14T21:27:56.2223052Z 2025-08-14T21:27:56.2223256Z Running test_jit_disabled 1/1 ... [2025-08-14 21:27:56.219961] 2025-08-14T21:27:56.2223705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:27:56.2224838Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:56.220249] 2025-08-14T21:27:59.6390945Z 2025-08-14T21:27:59.6391852Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_0b2d9bb32f56d5cb_.log 2025-08-14T21:27:59.6393467Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2025-08-14T21:27:59.6394522Z 2025-08-14T21:27:59.6395282Z Running test_autocast 1/1 ... [2025-08-14 21:27:59.639389] 2025-08-14T21:27:59.6395657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:27:59.6399715Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:59.639772] 2025-08-14T21:28:03.6595296Z 2025-08-14T21:28:03.6596188Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_c0f5cb9b9e620c32_.log 2025-08-14T21:28:03.6602404Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device 2025-08-14T21:28:03.6608461Z 2025-08-14T21:28:03.6608634Z Running test_cuda_trace 1/1 ... [2025-08-14 21:28:03.659756] 2025-08-14T21:28:03.6609031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:28:03.6610070Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:03.660054] 2025-08-14T21:28:06.8717040Z 2025-08-14T21:28:06.8718404Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_93b42c5ef19acf7f_.log 2025-08-14T21:28:06.8719684Z Running 0 items in this shard: 2025-08-14T21:28:06.8720013Z 2025-08-14T21:28:06.8722143Z Running test_native_mha 1/1 ... [2025-08-14 21:28:06.872058] 2025-08-14T21:28:06.8722774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:28:06.8727113Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:06.872433] 2025-08-14T21:28:10.3915715Z 2025-08-14T21:28:10.3916857Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_8b4e8de31801a2ee_.log 2025-08-14T21:28:10.3936774Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2025-08-14T21:28:10.3956181Z 2025-08-14T21:28:10.3956378Z Running test_sort_and_select 1/1 ... [2025-08-14 21:28:10.391804] 2025-08-14T21:28:10.3956785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:28:10.3957779Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:10.392081] 2025-08-14T21:28:15.6635148Z 2025-08-14T21:28:15.6636027Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_d0400d0d4508d297_.log 2025-08-14T21:28:15.6672646Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu 2025-08-14T21:28:15.6708723Z 2025-08-14T21:28:15.6708953Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-14 21:28:15.663870] 2025-08-14T21:28:15.6709395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:28:15.6710465Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:15.664178] 2025-08-14T21:28:18.8827223Z 2025-08-14T21:28:18.8828230Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_c3d2c0bea754bbe5_.log 2025-08-14T21:28:18.8829068Z Running 0 items in this shard: 2025-08-14T21:28:18.8829269Z 2025-08-14T21:28:18.8830737Z Running test_cpp_extensions_jit 1/1 ... [2025-08-14 21:28:18.882940] 2025-08-14T21:28:18.8831174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:28:18.8834600Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:18.883243] 2025-08-14T21:28:55.9490648Z 2025-08-14T21:28:55.9491577Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_2a9ebc730a8ff496_.log 2025-08-14T21:28:55.9505333Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2025-08-14T21:28:55.9517985Z 2025-08-14T21:28:55.9518175Z Running nn/test_pooling 1/1 ... [2025-08-14 21:28:55.949348] 2025-08-14T21:28:55.9518575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:28:55.9519623Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:55.949658] 2025-08-14T21:29:23.2089083Z 2025-08-14T21:29:23.2089924Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_9cd3ab66d50a94e2_.log 2025-08-14T21:29:23.2130228Z Running 111 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2025-08-14T21:29:23.2170065Z 2025-08-14T21:29:23.2170266Z Running test_cuda_primary_ctx 1/1 ... [2025-08-14 21:29:23.209244] 2025-08-14T21:29:23.2170682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:29:23.2171732Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:23.209547] 2025-08-14T21:29:26.4134169Z 2025-08-14T21:29:26.4135199Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_fa4282da277614ee_.log 2025-08-14T21:29:26.4135974Z Running 0 items in this shard: 2025-08-14T21:29:26.4136161Z 2025-08-14T21:29:26.4137885Z Running test_mobile_optimizer 1/1 ... [2025-08-14 21:29:26.413627] 2025-08-14T21:29:26.4138299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:29:26.4141118Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:26.413927] 2025-08-14T21:29:31.9858594Z 2025-08-14T21:29:31.9859494Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_c11a3f609a9eec26_.log 2025-08-14T21:29:31.9862663Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-08-14T21:29:31.9865112Z 2025-08-14T21:29:31.9865384Z Running test_multiprocessing_spawn 1/1 ... [2025-08-14 21:29:31.986060] 2025-08-14T21:29:31.9865924Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:29:31.9866969Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:31.986384] 2025-08-14T21:31:43.4791172Z 2025-08-14T21:31:43.4792485Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_f0cc4a49546312ab_.log 2025-08-14T21:31:43.4803276Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2025-08-14T21:31:43.4813547Z 2025-08-14T21:31:44.0784652Z Uploading artifacts took 0.60 seconds 2025-08-14T21:31:44.0787588Z Running nn/test_convolution 1/1 ... [2025-08-14 21:31:44.078585] 2025-08-14T21:31:44.0788038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:31:44.0791552Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:44.078935] 2025-08-14T21:32:06.9270505Z 2025-08-14T21:32:06.9271854Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_41262e80732dca3b_.log 2025-08-14T21:32:06.9599396Z Running 599 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose3d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_contig_wrong_stride_cudnn_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_no_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_batch_channel3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_empty_channel3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen1d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen3d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_miopen_depthwise3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_cpu_input_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn1d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_cpu_input_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_cpu_input_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn3d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_batch_channel3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_mkldnn_empty_channel3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2025-08-14T21:32:06.9921295Z 2025-08-14T21:32:06.9921512Z Running test_spectral_ops 1/1 ... [2025-08-14 21:32:06.928255] 2025-08-14T21:32:06.9921933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:32:06.9922953Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:06.928581] 2025-08-14T21:32:17.2074943Z 2025-08-14T21:32:17.2077648Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_a0b5020d818eb2a1_.log 2025-08-14T21:32:17.2163581Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft2_invalid_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_ifft_rfft_irfft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_input_modification_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_invalid_dtypes_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_plan_repeatable_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_int8, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_against_librosa_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_linearity_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_of_sine_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_simple_cases_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_various_params_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_with_padding_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_throws_cpu, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2025-08-14T21:32:17.2249768Z 2025-08-14T21:32:17.2250056Z Running distributions/test_distributions 1/1 ... [2025-08-14 21:32:17.208033] 2025-08-14T21:32:17.2250655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:32:17.2251731Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:17.208332] 2025-08-14T21:33:02.1852542Z 2025-08-14T21:33:02.1853628Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_057b387efab52ea8_.log 2025-08-14T21:33:02.1940932Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance 2025-08-14T21:33:02.2026347Z 2025-08-14T21:33:02.2026557Z Running test_autoload_enable 1/1 ... [2025-08-14 21:33:02.185805] 2025-08-14T21:33:04.5544093Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:33:04.5545676Z import pkg_resources 2025-08-14T21:33:04.6227381Z running install 2025-08-14T21:33:04.6229418Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:33:04.6230186Z !! 2025-08-14T21:33:04.6230296Z 2025-08-14T21:33:04.6230434Z ******************************************************************************** 2025-08-14T21:33:04.6230823Z Please avoid running ``setup.py`` directly. 2025-08-14T21:33:04.6231207Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:33:04.6231581Z standards-based tools. 2025-08-14T21:33:04.6231760Z 2025-08-14T21:33:04.6231993Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:33:04.6232446Z or your builds will no longer be supported. 2025-08-14T21:33:04.6232694Z 2025-08-14T21:33:04.6232982Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:33:04.6233510Z ******************************************************************************** 2025-08-14T21:33:04.6233743Z 2025-08-14T21:33:04.6233834Z !! 2025-08-14T21:33:04.6234039Z self.initialize_options() 2025-08-14T21:33:04.6367411Z running build 2025-08-14T21:33:04.6367654Z running build_py 2025-08-14T21:33:04.6456893Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:04.6459521Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:04.6468944Z running build_ext 2025-08-14T21:33:04.6486618Z building 'torch_test_cpp_extension.cpp' extension 2025-08-14T21:33:04.6488327Z creating build/temp.linux-x86_64-cpython-313 2025-08-14T21:33:04.6492797Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-14T21:33:05.9055784Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-14T21:33:05.9057257Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-14T21:33:05.9058646Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-08-14T21:33:05.9059804Z from extension.cpp:1: 2025-08-14T21:33:05.9063401Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-14T21:33:05.9064260Z extension.cpp:45:53: required from here 2025-08-14T21:33:05.9065887Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-14T21:33:05.9067088Z 1539 | class class_ : public detail::generic_type { 2025-08-14T21:33:05.9067442Z | ^~~~~~ 2025-08-14T21:33:05.9069009Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-14T21:33:05.9070325Z extension.cpp:45:53: required from here 2025-08-14T21:33:05.9072688Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-14T21:33:05.9074540Z 1599 | with_internals([&](internals &internals) { 2025-08-14T21:33:05.9074921Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:05.9075429Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-14T21:33:05.9076147Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:05.9076597Z 1601 | : internals.registered_types_cpp; 2025-08-14T21:33:05.9077012Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:05.9077424Z 1602 | instances[std::type_index(typeid(type_alias))] 2025-08-14T21:33:05.9077808Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:05.9078193Z 1603 | = instances[std::type_index(typeid(type))]; 2025-08-14T21:33:05.9078653Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:05.9079020Z 1604 | }); 2025-08-14T21:33:05.9079267Z | ~ 2025-08-14T21:33:05.9082412Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:06.5786642Z building 'torch_test_cpp_extension.maia' extension 2025-08-14T21:33:06.5791156Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-14T21:33:07.8873607Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:08.5388736Z building 'torch_test_cpp_extension.rng' extension 2025-08-14T21:33:08.5392530Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-14T21:33:10.1005964Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:10.1007442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:10.1008509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:10.1009937Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:10.1010961Z from rng_extension.cpp:6: 2025-08-14T21:33:10.1012747Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:10.1014036Z 1478 | #pragma unroll 2025-08-14T21:33:10.1014377Z | 2025-08-14T21:33:10.1015207Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-14T21:33:10.1016639Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-14T21:33:10.1017996Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:10.1019346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:10.1020611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:10.1022069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:10.1022996Z from rng_extension.cpp:6: 2025-08-14T21:33:10.1024118Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:10.1025195Z 59 | #pragma unroll 2025-08-14T21:33:10.1025574Z | 2025-08-14T21:33:10.1026539Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:10.1027434Z 72 | #pragma unroll 2025-08-14T21:33:10.1027676Z | 2025-08-14T21:33:10.1028479Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:10.1029211Z 87 | #pragma unroll 2025-08-14T21:33:10.1029455Z | 2025-08-14T21:33:10.1029972Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-14T21:33:10.1030845Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:10.1031611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:10.1032370Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:10.1033337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:10.1033976Z from rng_extension.cpp:6: 2025-08-14T21:33:10.1034904Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:10.1035678Z 160 | #pragma unroll 2025-08-14T21:33:10.1035928Z | 2025-08-14T21:33:10.1036403Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1037223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1038004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1038761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1039457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1040262Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1041184Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1042071Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1042903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1043798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1044968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1045770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1046288Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1047325Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1048849Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1050550Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1052288Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1054095Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1056043Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1062046Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1072267Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1078349Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1079275Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1079655Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1085792Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1092089Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1093317Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1093718Z | ^~~~~~~~ 2025-08-14T21:33:10.1094324Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1095278Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1096129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1096905Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1097641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1098441Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1099501Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1100613Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1101709Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1102781Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1103751Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1104642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1105450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1106057Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1106882Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1107584Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1107922Z | ^~~~ 2025-08-14T21:33:10.1108471Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1109348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1110125Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1110883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1111601Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1112397Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1113277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1114124Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1115012Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1115894Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1116820Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1117638Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1118168Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1119121Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1120643Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1122290Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1124011Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1125840Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1127795Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1133667Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1143629Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1149307Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1150208Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1150578Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1156590Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1162742Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1163964Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1164355Z | ^~~~~~~~ 2025-08-14T21:33:10.1164955Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1165955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1166790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1167570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1168298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1169102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1170096Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1171182Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1172317Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1173387Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1174353Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1175243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1176251Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1176790Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1177597Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1178342Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1178678Z | ^~~~ 2025-08-14T21:33:10.1179227Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1180029Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1180885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1181689Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1182405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1183193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1184081Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1184932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1185852Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1186740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1187660Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1188464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1189000Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1190033Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1191536Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1193185Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1194878Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1196739Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1198704Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1204289Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1213646Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1218965Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1219884Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1220266Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1225971Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1231875Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1233106Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1233513Z | ^~~~~~~~ 2025-08-14T21:33:10.1234116Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1235069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1235913Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1236690Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1237452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1238266Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1239269Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1240358Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1241460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1242512Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1243472Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1244369Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1245179Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1245704Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1246542Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1247258Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1247581Z | ^~~~ 2025-08-14T21:33:10.1248136Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1248955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1249738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1250483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1251197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1251999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1252911Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1253751Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1254604Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1255498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1256413Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1257209Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1257742Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1258695Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1260196Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1261869Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1263559Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1265361Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1267390Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1273266Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1283492Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1289103Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1289985Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1290354Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1296341Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1302536Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1303802Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1304209Z | ^~~~~~~~ 2025-08-14T21:33:10.1304794Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1305814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1306664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1307450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1308170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1308973Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1310020Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1311105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1312191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1313261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1314220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1315119Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1315916Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1316448Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1317258Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1317972Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1318344Z | ^~~~ 2025-08-14T21:33:10.1318899Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1319747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1320527Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1321266Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1321983Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1322785Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1323661Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1324499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1325350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1326242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1327204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1328003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1328540Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1329507Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1331013Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1332648Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1334366Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1336179Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1338132Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1343718Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1353162Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1358525Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1359425Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1359798Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1365447Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1371316Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1372543Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1372933Z | ^~~~~~~~ 2025-08-14T21:33:10.1373523Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1374478Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1375363Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1376332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1377064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1377865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1378882Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1379957Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1381058Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1382126Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1383088Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1383974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1384857Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1385396Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1386285Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1386985Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1387324Z | ^~~~ 2025-08-14T21:33:10.1387878Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1388692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1389456Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1390212Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1390981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1391770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1392648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1393494Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1394348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1395249Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1396156Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1396969Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1397498Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1398543Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1400045Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1401742Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1403437Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1405236Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1407184Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1412716Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1422086Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1427499Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1428392Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1428789Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1434409Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1440342Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1441586Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1441985Z | ^~~~~~~~ 2025-08-14T21:33:10.1442577Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1443526Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1444356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1445144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1445871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1446672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1447698Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1448789Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1449876Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1450947Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1451904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1452803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1453617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1454149Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1454939Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1455688Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1456030Z | ^~~~ 2025-08-14T21:33:10.1456594Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1457412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1458187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1458944Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1459644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1460461Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1461348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1462204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1463045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1463942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1464959Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1465838Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1466362Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1467329Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1468835Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1470474Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1472206Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1474017Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1476122Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1481770Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1491129Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1496501Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1497383Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1497763Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1503431Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1509386Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1510620Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1511020Z | ^~~~~~~~ 2025-08-14T21:33:10.1511601Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1512596Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1513473Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1514253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1514967Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1515771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1516783Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1517871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1518962Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1520022Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1520981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1521929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1522738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1523254Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1524059Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1524775Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1525101Z | ^~~~ 2025-08-14T21:33:10.1525657Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1526470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1527247Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1528050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1528764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1529564Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1530445Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1531289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1532140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1533040Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1533964Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1534761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1535287Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1536273Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1537803Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1539442Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1541122Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1542932Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1544867Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1550811Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1560750Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1566369Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1567289Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1567663Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1573618Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1580000Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1581223Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1581630Z | ^~~~~~~~ 2025-08-14T21:33:10.1582213Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1583168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1584015Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1584802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1585640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1586451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1587469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1588570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1589653Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1590726Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1591692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1592591Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1593430Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1593961Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1608822Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1609555Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1609900Z | ^~~~ 2025-08-14T21:33:10.1610461Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1611311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1612087Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1612843Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1613564Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1614368Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1615230Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1616066Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1617067Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1617966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1618870Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1619683Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1620217Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1621221Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1622718Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1624416Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1626221Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1628032Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1629979Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1635603Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1644960Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1650318Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1651223Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1651599Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1657251Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1663162Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1664404Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1664813Z | ^~~~~~~~ 2025-08-14T21:33:10.1665445Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1666460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1667295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1668093Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1668830Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1669640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1670643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1671736Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1672834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1673911Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1674900Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1675799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1676809Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1677348Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1678161Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1678881Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1679221Z | ^~~~ 2025-08-14T21:33:10.1679783Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1680664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1681453Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1682207Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1682926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1683719Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1684598Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1685446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1686302Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1687186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1688147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1688954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1689526Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1690485Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1691988Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1693645Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1695337Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1697142Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1699083Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1704732Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1714133Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1719486Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1720405Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1720783Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1726412Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1732329Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1733554Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1733961Z | ^~~~~~~~ 2025-08-14T21:33:10.1734561Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1735499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1736344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1737172Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1737903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1738693Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1739706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1740795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1741890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1742951Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1743912Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1744810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1745732Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1746291Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1747111Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1747826Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1748166Z | ^~~~ 2025-08-14T21:33:10.1748706Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1749536Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1750318Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1751064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1751777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1752581Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1753466Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1754308Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1755203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1756097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1757014Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1757808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1758335Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1759299Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1760836Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1762483Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1764169Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1765964Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1767908Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1773492Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1783014Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1788507Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1789404Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1789782Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1795485Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1801358Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1802622Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1803050Z | ^~~~~~~~ 2025-08-14T21:33:10.1803649Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1804603Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1805454Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1806235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1806968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1807774Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1808780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1809849Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1810939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1812092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1813047Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1813946Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1814741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1815277Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1816074Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1816773Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1817102Z | ^~~~ 2025-08-14T21:33:10.1817657Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1818507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1819273Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1820028Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1820748Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1821550Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1822421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1823276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1824125Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1825017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1826042Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1826874Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1827403Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1828376Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1829865Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1831501Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1833186Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1834982Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1836925Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1842537Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1851840Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1857227Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1858118Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1858487Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1864113Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1870106Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1871320Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1871736Z | ^~~~~~~~ 2025-08-14T21:33:10.1872343Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1873288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1874124Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1874944Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1875688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1876694Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1877709Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1878785Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1879885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1880962Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1881930Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1882901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1883712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1884299Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1885125Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1885825Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1886168Z | ^~~~ 2025-08-14T21:33:10.1886731Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1887541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1888323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1889081Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1889793Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1890583Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1891471Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1892369Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1893219Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1894098Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1895014Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1895819Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1896349Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1897306Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1898856Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1900504Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1902191Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1903988Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1905997Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1911872Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1921800Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1927454Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1928351Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1928761Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.1934671Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.1940812Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.1942060Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.1942449Z | ^~~~~~~~ 2025-08-14T21:33:10.1943046Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.1944003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.1944839Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.1945688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.1946424Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.1947234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.1948229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.1949356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.1950446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.1951509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.1952468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.1953358Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.1954164Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1954694Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1955520Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.1956233Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.1956566Z | ^~~~ 2025-08-14T21:33:10.1957119Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.1957925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.1958706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.1959456Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.1960167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.1960962Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.1961841Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.1962691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.1963569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.1964472Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.1965389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.1966195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.1966728Z from rng_extension.cpp:1: 2025-08-14T21:33:10.1967677Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.1969173Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.1970818Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.1972501Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.1974348Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.1976521Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.1982573Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.1992754Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.1998480Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.1999374Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.1999734Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2005749Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2012016Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2013266Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2013656Z | ^~~~~~~~ 2025-08-14T21:33:10.2014254Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2015211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2016052Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2016837Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2017569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2018381Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2019380Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2020474Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2021616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2022718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2023686Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2024580Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2025397Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2025995Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2026791Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2027516Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2027863Z | ^~~~ 2025-08-14T21:33:10.2028422Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2029227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2030008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2030805Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2031518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2032305Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2033184Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2034036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2034883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2035763Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2036709Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2037516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2038040Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2038983Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2040482Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2042115Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2043800Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2045629Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2048194Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2054148Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2064274Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2070013Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2070907Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2071267Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2077553Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2083841Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2085064Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2085475Z | ^~~~~~~~ 2025-08-14T21:33:10.2086075Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2087030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2087862Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2088695Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2089426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2090223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2091219Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2092314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2093404Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2094515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2095468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2096358Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2097167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2097696Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2098486Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2099200Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2099538Z | ^~~~ 2025-08-14T21:33:10.2100093Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2100902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2101678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2102469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2103206Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2103988Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2104865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2105783Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2106632Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2107511Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2108426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2109231Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2109758Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2110702Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2112251Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2113892Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2115587Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2117389Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2119374Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2125320Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2135437Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2141128Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2142051Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2142416Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2148586Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2154824Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2156036Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2156440Z | ^~~~~~~~ 2025-08-14T21:33:10.2157049Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2158000Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2158835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2159654Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2160414Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2161220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2162222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2163323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2164428Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2165500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2166457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2167359Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2168169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2168737Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2169529Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2170246Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2170583Z | ^~~~ 2025-08-14T21:33:10.2171141Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2171947Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2172729Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2173480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2174191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2175015Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2175894Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2176890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2177741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2178629Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2179543Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2180354Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2180891Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2181840Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2183420Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2185108Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2186869Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2188685Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2190628Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2196575Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2206714Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2212373Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2213266Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2213662Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2219710Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2226039Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2227309Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2227718Z | ^~~~~~~~ 2025-08-14T21:33:10.2228318Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2229277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2230120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2230898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2231625Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2232464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2233463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2234558Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2235655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2236714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2237666Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2238568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2239372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2239905Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2240730Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2241501Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2241838Z | ^~~~ 2025-08-14T21:33:10.2242394Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2243193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2243974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2244733Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2245444Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2246234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2247118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2247963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2248808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2249737Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2250656Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2251458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2251996Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2252939Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2254445Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2256114Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2257792Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2259589Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2261518Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2267625Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2277924Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2283698Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2284595Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2284959Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2291051Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2297340Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2298587Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2298991Z | ^~~~~~~~ 2025-08-14T21:33:10.2299595Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2300558Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2301406Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2302192Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2302929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2303740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2304740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2305892Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2306988Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2308097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2309045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2309953Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2310756Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2311290Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2312082Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2312791Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2313130Z | ^~~~ 2025-08-14T21:33:10.2313711Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2314521Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2315292Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2316048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2316753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2317548Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2318426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2319283Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2320116Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2321012Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2321960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2322814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2323331Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2324291Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2325789Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2327431Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2329115Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2330922Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2332896Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2338870Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2348992Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2354702Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2355598Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2355962Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2361996Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2368293Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2369496Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2369907Z | ^~~~~~~~ 2025-08-14T21:33:10.2370530Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2371484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2372314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2373125Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2373901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2374701Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2375697Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2376960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2378058Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2379132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2380084Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2380984Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2381789Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2382391Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2383187Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2383900Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2384234Z | ^~~~ 2025-08-14T21:33:10.2384774Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2385652Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2386433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2387187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2387891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2388751Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2389637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2390492Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2391327Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2392223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2393140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2393949Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2394466Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2395431Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2396974Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2398650Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2400328Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2402135Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2404072Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2410030Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2420147Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2425860Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2426754Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2427173Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2433243Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2439520Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2440733Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2441141Z | ^~~~~~~~ 2025-08-14T21:33:10.2441746Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2442702Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2443539Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2444321Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2445060Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2445901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2446897Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2447991Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2449088Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2450158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2451109Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2452006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2452811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2453337Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2454156Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2454889Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2455221Z | ^~~~ 2025-08-14T21:33:10.2455758Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2456572Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2457359Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2458112Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2458809Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2459617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2460504Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2461350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2462189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2463116Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2464033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2464834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2465351Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2466399Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2467901Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2469600Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2471283Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2473078Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2475014Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2481209Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2491307Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2497027Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2497918Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2498276Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2504360Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2510686Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2511927Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2512333Z | ^~~~~~~~ 2025-08-14T21:33:10.2512936Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2513885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2514724Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2515501Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2516228Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2517033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2518028Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2519111Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2520242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2521311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2522254Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2523149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2523954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2524481Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2525270Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2525983Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2526317Z | ^~~~ 2025-08-14T21:33:10.2526903Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2527723Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2528501Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2529256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2529960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2530764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2531645Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2532499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2533331Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2534252Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2535197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2535997Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2536512Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2537458Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2538967Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2540610Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2542292Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2544088Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2546134Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2551711Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2561041Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2566430Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2567310Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2567695Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2573308Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2579398Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2580626Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2581031Z | ^~~~~~~~ 2025-08-14T21:33:10.2581615Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2582575Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2583498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2584279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2585002Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2585900Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2586922Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2588008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2589102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2590158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2591118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2592062Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2592898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2593416Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2594225Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2594936Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2595266Z | ^~~~ 2025-08-14T21:33:10.2595821Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2596639Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2596974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2597298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2597584Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2597979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2598405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2598768Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2599140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2599552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2599935Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2600248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2600359Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2601142Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2601969Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2602874Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2603753Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2604765Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2605809Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2610888Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2616585Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2617454Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2617619Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2617730Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2623569Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2624811Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2625027Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2625122Z | ^~~~~~~~ 2025-08-14T21:33:10.2625575Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2626037Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2626378Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2626729Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2627011Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2627422Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2627958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2628439Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2628956Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2629408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2629815Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2630200Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2630529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2630654Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2631238Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2631385Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2631479Z | ^~~~ 2025-08-14T21:33:10.2631847Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2632192Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2632519Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2632835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2633129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2633527Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2633903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2634365Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2634769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2635179Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2635563Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2635880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2635992Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2636740Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2637572Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2638460Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2639357Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2640394Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2641446Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2646524Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2652215Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2653043Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2653195Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2653323Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2659151Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2660433Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2660645Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2660729Z | ^~~~~~~~ 2025-08-14T21:33:10.2661176Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2661587Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2661920Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2662258Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2662547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2662948Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2663481Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2663993Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2664505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2664955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2665351Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2665819Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2666124Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2666251Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2666835Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2666970Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2667075Z | ^~~~ 2025-08-14T21:33:10.2667446Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2667827Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2668162Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2668469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2668773Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2669173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2669554Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2669917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2670308Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2670733Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2671118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2671433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2671545Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2672277Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2673116Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2674013Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2674935Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2675943Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2677242Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2682298Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2688044Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2688871Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2689039Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2689158Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2695005Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2696251Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2696467Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2696555Z | ^~~~~~~~ 2025-08-14T21:33:10.2697013Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2697471Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2697808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2698153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2698440Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2698860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2699351Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2699828Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2700372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2700825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2701235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2701623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2701928Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2702056Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2702635Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2702790Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2702882Z | ^~~~ 2025-08-14T21:33:10.2703252Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2703598Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2703955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2704307Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2704594Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2704990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2705379Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2705814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2706193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2706604Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2706989Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2707303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2707415Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2708207Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2709035Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2709929Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2710819Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2711853Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2712911Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2717548Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2722805Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2723606Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2723793Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2723921Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2729345Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2730578Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2730780Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2730876Z | ^~~~~~~~ 2025-08-14T21:33:10.2731317Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2731739Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2732075Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2732399Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2732722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2733149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2733656Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2734131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2734633Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2735095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2735492Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2735891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2736190Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2736302Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2736918Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2737055Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2737161Z | ^~~~ 2025-08-14T21:33:10.2737529Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:10.2737861Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:10.2738199Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:10.2738509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:10.2738808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:10.2739202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:10.2739599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:10.2739972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:10.2740336Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:10.2740759Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:10.2741145Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:10.2741443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2741567Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2742297Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:10.2743136Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:10.2744054Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:10.2744971Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:10.2746052Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:10.2747120Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:10.2752146Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:10.2757893Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:10.2758701Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:10.2758853Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:10.2758968Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:10.2764804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:10.2766060Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:10.2766294Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:10.2766395Z | ^~~~~~~~ 2025-08-14T21:33:10.2766840Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:10.2767239Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:10.2767588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:10.2767913Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:10.2768211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:10.2768617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:10.2769148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:10.2769636Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:10.2770133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:10.2770597Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:10.2770989Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:10.2771383Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:10.2771687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:10.2771798Z from rng_extension.cpp:1: 2025-08-14T21:33:10.2772388Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:10.2772557Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:10.2772677Z | ^~~~ 2025-08-14T21:33:10.2775624Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:10.7877884Z running install_lib 2025-08-14T21:33:10.7957883Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-14T21:33:10.7961190Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:10.7962650Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:10.7964386Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:10.8031513Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:10.8099663Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:10.8174777Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-313.pyc 2025-08-14T21:33:10.8177596Z running install_egg_info 2025-08-14T21:33:10.8372971Z running egg_info 2025-08-14T21:33:10.8453537Z creating torch_test_cpp_extension.egg-info 2025-08-14T21:33:10.8454379Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-14T21:33:10.8457776Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-14T21:33:10.8459398Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-14T21:33:10.8461453Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-14T21:33:10.8462361Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:10.8547399Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:10.8554690Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:10.8556002Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-14T21:33:10.8562046Z running install_scripts 2025-08-14T21:33:14.0349983Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:33:14.0351506Z import pkg_resources 2025-08-14T21:33:14.0651278Z 2025-08-14T21:33:14.0651753Z Running tests... 2025-08-14T21:33:14.0652097Z ---------------------------------------------------------------------- 2025-08-14T21:33:14.0787638Z . 2025-08-14T21:33:14.0788009Z ---------------------------------------------------------------------- 2025-08-14T21:33:14.0788399Z Ran 1 test in 0.014s 2025-08-14T21:33:14.0788777Z 2025-08-14T21:33:14.0788861Z OK 2025-08-14T21:33:14.0789058Z 2025-08-14T21:33:14.0789163Z Generating XML reports... 2025-08-14T21:33:14.8295208Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-14 21:33:14.829196] 2025-08-14T21:33:17.2010910Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:33:17.2012406Z import pkg_resources 2025-08-14T21:33:17.2693461Z running install 2025-08-14T21:33:17.2695651Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:33:17.2696411Z !! 2025-08-14T21:33:17.2696521Z 2025-08-14T21:33:17.2696669Z ******************************************************************************** 2025-08-14T21:33:17.2697054Z Please avoid running ``setup.py`` directly. 2025-08-14T21:33:17.2697461Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:33:17.2697828Z standards-based tools. 2025-08-14T21:33:17.2698010Z 2025-08-14T21:33:17.2698229Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:33:17.2698698Z or your builds will no longer be supported. 2025-08-14T21:33:17.2699147Z 2025-08-14T21:33:17.2699454Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:33:17.2699983Z ******************************************************************************** 2025-08-14T21:33:17.2700219Z 2025-08-14T21:33:17.2700301Z !! 2025-08-14T21:33:17.2700522Z self.initialize_options() 2025-08-14T21:33:17.2835938Z running build 2025-08-14T21:33:17.2836167Z running build_py 2025-08-14T21:33:17.2926295Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:17.2928428Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:17.2931695Z running build_ext 2025-08-14T21:33:17.2948482Z building 'torch_test_cpp_extension.cpp' extension 2025-08-14T21:33:17.2950097Z creating build/temp.linux-x86_64-cpython-313 2025-08-14T21:33:17.2954667Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-14T21:33:18.3966821Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-14T21:33:18.3967826Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-14T21:33:18.3968653Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-08-14T21:33:18.3969211Z from extension.cpp:1: 2025-08-14T21:33:18.3970490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-14T21:33:18.3971311Z extension.cpp:45:53: required from here 2025-08-14T21:33:18.3972935Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-14T21:33:18.3975713Z 1539 | class class_ : public detail::generic_type { 2025-08-14T21:33:18.3976281Z | ^~~~~~ 2025-08-14T21:33:18.3977935Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-14T21:33:18.3979273Z extension.cpp:45:53: required from here 2025-08-14T21:33:18.3981530Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-14T21:33:18.3983404Z 1599 | with_internals([&](internals &internals) { 2025-08-14T21:33:18.3983787Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:18.3984300Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-14T21:33:18.3984843Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:18.3985388Z 1601 | : internals.registered_types_cpp; 2025-08-14T21:33:18.3985870Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:18.3986271Z 1602 | instances[std::type_index(typeid(type_alias))] 2025-08-14T21:33:18.3986668Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:18.3987064Z 1603 | = instances[std::type_index(typeid(type))]; 2025-08-14T21:33:18.3987460Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:18.3987770Z 1604 | }); 2025-08-14T21:33:18.3988021Z | ~ 2025-08-14T21:33:18.3991226Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:19.0608552Z building 'torch_test_cpp_extension.maia' extension 2025-08-14T21:33:19.0612438Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-14T21:33:20.1607752Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:20.8023976Z building 'torch_test_cpp_extension.rng' extension 2025-08-14T21:33:20.8027500Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-14T21:33:22.0815569Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:22.0817105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:22.0818324Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:22.0819799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:22.0820932Z from rng_extension.cpp:6: 2025-08-14T21:33:22.0822721Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:22.0824018Z 1478 | #pragma unroll 2025-08-14T21:33:22.0824402Z | 2025-08-14T21:33:22.0825241Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-14T21:33:22.0826811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-14T21:33:22.0828059Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:22.0829289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:22.0830470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:22.0831545Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:22.0832196Z from rng_extension.cpp:6: 2025-08-14T21:33:22.0833246Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:22.0834171Z 59 | #pragma unroll 2025-08-14T21:33:22.0834416Z | 2025-08-14T21:33:22.0835213Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:22.0835967Z 72 | #pragma unroll 2025-08-14T21:33:22.0836200Z | 2025-08-14T21:33:22.0837110Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:22.0837863Z 87 | #pragma unroll 2025-08-14T21:33:22.0838164Z | 2025-08-14T21:33:22.0838689Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-14T21:33:22.0839563Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:22.0840335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:22.0841110Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:22.0841985Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:22.0842838Z from rng_extension.cpp:6: 2025-08-14T21:33:22.0843827Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:22.0844609Z 160 | #pragma unroll 2025-08-14T21:33:22.0844852Z | 2025-08-14T21:33:22.0845331Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.0846156Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.0846938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.0847780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.0848486Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.0849295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.0850179Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.0851041Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.0851873Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.0852777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.0853739Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.0854546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.0855058Z from rng_extension.cpp:1: 2025-08-14T21:33:22.0856090Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.0857607Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.0859252Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.0860936Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.0862770Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.0864754Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.0870829Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.0881275Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.0886983Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.0887883Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.0888257Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.0894353Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.0900659Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.0901877Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.0902269Z | ^~~~~~~~ 2025-08-14T21:33:22.0902861Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.0903808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.0904705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.0905484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.0906278Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.0907078Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.0908095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.0909175Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.0910270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.0911375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.0912345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.0913232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.0914031Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.0914566Z from rng_extension.cpp:1: 2025-08-14T21:33:22.0915385Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.0916083Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.0916426Z | ^~~~ 2025-08-14T21:33:22.0916988Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.0917795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.0918572Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.0919385Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.0920125Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.0920918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.0921798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.0922655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.0923505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.0924385Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.0925306Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.0926109Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.0926635Z from rng_extension.cpp:1: 2025-08-14T21:33:22.0927588Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.0929127Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.0930770Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.0932468Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.0934273Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.0936257Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.0942098Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.0952118Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.0957725Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.0959386Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.0959748Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.0965734Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.0971888Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.0973111Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.0973500Z | ^~~~~~~~ 2025-08-14T21:33:22.0974094Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.0975047Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.0975885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.0976950Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.0977692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.0978548Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.0979544Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.0980630Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.0981722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.0982789Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.0983750Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.0984637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.0985438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.0986039Z from rng_extension.cpp:1: 2025-08-14T21:33:22.0986903Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.0987613Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.0987948Z | ^~~~ 2025-08-14T21:33:22.0988501Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.0989312Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.0990097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.0990852Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.0991566Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.0992357Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.0993282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.0994136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.0994981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.0995873Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.0996788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.0997589Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.0998128Z from rng_extension.cpp:1: 2025-08-14T21:33:22.0999092Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1000592Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1002275Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1003991Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1005803Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1007760Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1013299Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1022736Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1028160Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1029063Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1029423Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1035084Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1040969Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1042192Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1042592Z | ^~~~~~~~ 2025-08-14T21:33:22.1043224Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1044168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1045010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1045790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1046518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1047305Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1048309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1049427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1050516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1051568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1052530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1053426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1054232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1054754Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1055564Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1056272Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1056609Z | ^~~~ 2025-08-14T21:33:22.1057149Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1058002Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1058810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1059568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1060264Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1061068Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1061944Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1062788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1063621Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1064513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1065427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1066309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1066877Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1067845Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1069350Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1071000Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1072697Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1074522Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1076669Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1082622Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1092493Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1098154Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1099025Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1099400Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1105386Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1111572Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1112826Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1113234Z | ^~~~~~~~ 2025-08-14T21:33:22.1113832Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1114839Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1115687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1116500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1117237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1118030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1119051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1120147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1121243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1122316Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1123268Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1124166Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1125023Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1125554Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1126345Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1127054Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1127388Z | ^~~~ 2025-08-14T21:33:22.1127930Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1128748Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1129522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1130276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1131004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1131803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1132678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1133529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1134364Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1135258Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1136174Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1136979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1137495Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1138483Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1140006Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1141642Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1143336Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1145137Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1147134Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1152677Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1162028Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1167360Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1168240Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1168651Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1174292Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1180357Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1181676Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1182081Z | ^~~~~~~~ 2025-08-14T21:33:22.1182667Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1183623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1184478Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1185266Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1186056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1186866Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1187939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1189034Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1190117Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1191183Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1192144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1193041Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1193833Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1194361Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1195172Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1195936Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1196291Z | ^~~~ 2025-08-14T21:33:22.1196843Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1197659Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1198438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1199187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1199900Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1200699Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1205144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1206083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1206938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1207838Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1208812Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1209617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1210145Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1211238Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1212735Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1214372Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1216101Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1217895Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1219853Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1225400Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1234936Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1240317Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1241213Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1241578Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1247224Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1253132Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1254342Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1254746Z | ^~~~~~~~ 2025-08-14T21:33:22.1255350Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1256312Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1257201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1257984Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1258718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1259531Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1260528Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1261624Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1262777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1263850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1264806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1265798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1266615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1267150Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1267950Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1268660Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1268999Z | ^~~~ 2025-08-14T21:33:22.1269540Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1270352Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1271131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1271931Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1272632Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1273433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1274311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1275156Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1276167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1277074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1277995Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1278801Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1279323Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1280314Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1281902Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1283540Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1285224Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1287021Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1289026Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1294575Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1304020Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1309458Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1310334Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1310716Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1316407Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1322309Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1323568Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1323972Z | ^~~~~~~~ 2025-08-14T21:33:22.1324564Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1325505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1326358Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1327132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1327860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1328696Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1329699Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1330782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1331876Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1332927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1333890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1334786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1335594Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1336108Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1336907Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1337652Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1337973Z | ^~~~ 2025-08-14T21:33:22.1338519Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1339337Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1340269Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1341286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1342247Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1343052Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1344009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1344854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1345773Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1346723Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1347644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1348440Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1348973Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1350025Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1351536Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1353177Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1354903Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1356717Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1358673Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1364508Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1374495Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1380465Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1381353Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1381731Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1387816Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1393995Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1395223Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1395682Z | ^~~~~~~~ 2025-08-14T21:33:22.1396279Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1397235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1398089Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1398884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1399602Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1400403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1401468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1402558Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1403640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1404757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1405723Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1406623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1407412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1407943Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1408740Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1409445Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1409765Z | ^~~~ 2025-08-14T21:33:22.1410315Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1411174Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1411952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1412697Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1413408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1414210Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1415095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1415932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1416786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1417681Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1418596Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1419429Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1419957Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1420910Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1422413Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1424037Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1425833Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1427654Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1429591Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1435207Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1444487Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1449856Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1450751Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1451122Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1456769Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1462658Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1463872Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1464266Z | ^~~~~~~~ 2025-08-14T21:33:22.1464862Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1465887Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1466737Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1467555Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1468288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1469089Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1470098Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1471168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1472262Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1473334Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1474298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1475184Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1476162Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1476785Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1477602Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1478301Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1478633Z | ^~~~ 2025-08-14T21:33:22.1479189Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1480008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1480772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1481526Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1482300Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1483090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1483972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1484860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1485711Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1486608Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1487507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1488320Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1488846Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1489804Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1491348Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1492996Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1494677Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1496477Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1498420Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1503960Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1513447Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1518804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1519698Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1520057Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1525693Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1531584Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1532800Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1533250Z | ^~~~~~~~ 2025-08-14T21:33:22.1533851Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1534806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1535651Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1536432Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1537157Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1537958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1539003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1540092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1541177Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1542316Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1543267Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1544161Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1544969Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1545499Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1546351Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1547059Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1547396Z | ^~~~ 2025-08-14T21:33:22.1547973Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1548790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1549576Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1550331Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1551046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1551844Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1552722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1553569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1554402Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1555289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1556201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1557035Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1557547Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1558497Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1560002Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1561639Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1563360Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1565165Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1567146Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1572714Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1582171Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1587662Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1588539Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1588916Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1594662Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1600548Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1601781Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1602184Z | ^~~~~~~~ 2025-08-14T21:33:22.1602768Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1603719Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1604573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1605349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1606063Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1606863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1607903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1608985Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1610076Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1611137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1612094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1612993Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1613808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1614324Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1615121Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1615827Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1616190Z | ^~~~ 2025-08-14T21:33:22.1616744Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1617564Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1618344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1619119Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1619838Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1620635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1621507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1622369Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1623215Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1624106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1625019Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1625884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1626418Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1627393Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1628911Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1630551Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1632223Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1634083Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1636032Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1641569Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1650959Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1656313Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1657208Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1657585Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1663193Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1669170Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1670402Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1670793Z | ^~~~~~~~ 2025-08-14T21:33:22.1671393Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1672340Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1673235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1674001Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1674724Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1675568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1676752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1677822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1678918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1680043Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1681008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1681899Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1682712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1683241Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1684056Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1684762Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1685096Z | ^~~~ 2025-08-14T21:33:22.1685652Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1686468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1687238Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1687997Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1688775Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1689577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1690441Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1691294Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1692142Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1693032Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1693936Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1694740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1695270Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1696227Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1697776Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1699411Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1701138Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1702934Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1704903Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1710818Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1720662Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1726305Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1727231Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1727602Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1733615Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1739776Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1740990Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1741376Z | ^~~~~~~~ 2025-08-14T21:33:22.1741982Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1742934Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1743779Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1744547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1745324Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1746190Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1747204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1748285Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1749371Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1750431Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1751392Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1752278Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1753079Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1753656Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1754468Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1755168Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1755509Z | ^~~~ 2025-08-14T21:33:22.1756062Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1756898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1757681Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1758431Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1759143Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1759965Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1760929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1762019Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1762981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1763967Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1765038Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1765928Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1778847Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1780042Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1781568Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1783390Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1785082Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1786989Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1788939Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1794968Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1805122Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1810794Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1811689Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1812068Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1818109Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1824380Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1825695Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1826088Z | ^~~~~~~~ 2025-08-14T21:33:22.1826692Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1827684Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1828537Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1829303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1830035Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1830890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1831897Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1832977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1834069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1835140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1836104Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1837002Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1837806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1838339Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1839153Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1839888Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1840230Z | ^~~~ 2025-08-14T21:33:22.1840788Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1841599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1842389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1843142Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1843856Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1844643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1845534Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1846381Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1847231Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1848144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1849062Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1849869Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1850400Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1851384Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1852897Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1854573Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1856266Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1858072Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1860021Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1866075Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1876368Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1882160Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1883066Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1883445Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1889542Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1895781Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1897047Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1897438Z | ^~~~~~~~ 2025-08-14T21:33:22.1898033Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1898984Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1899842Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1900611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1901344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1902147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1903164Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1904240Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1905339Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1906553Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1907517Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1908405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1909254Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1909792Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1910605Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1911303Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1911648Z | ^~~~ 2025-08-14T21:33:22.1912235Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1913042Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1913822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1914583Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1915309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1916101Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1916983Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1917843Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1918692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1919579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1920498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1921366Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1921882Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1922843Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1924350Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1925995Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1927679Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.1929468Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.1931444Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.1937483Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.1947621Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.1953345Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.1954232Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.1954605Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.1960689Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.1966908Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.1968130Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.1968532Z | ^~~~~~~~ 2025-08-14T21:33:22.1969163Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.1970100Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.1970942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.1971722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.1972458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.1973247Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.1974260Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.1975344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.1976643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.1977702Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.1978753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.1979650Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.1980456Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1980976Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1981800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.1982510Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.1982844Z | ^~~~ 2025-08-14T21:33:22.1983381Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.1984203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.1984985Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.1985792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.1986569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.1987377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.1988256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.1989091Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.1989983Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.1990875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.1991790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.1992641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.1993161Z from rng_extension.cpp:1: 2025-08-14T21:33:22.1994122Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.1995618Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.1997261Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.1998943Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2000738Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2002683Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2008708Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2018813Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2024513Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2025402Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2025845Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2031862Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2038158Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2039370Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2039775Z | ^~~~~~~~ 2025-08-14T21:33:22.2040379Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2041340Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2042180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2042966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2043752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2044545Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2045558Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2046679Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2047781Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2048850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2049798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2050722Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2051531Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2052060Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2052845Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2053557Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2053892Z | ^~~~ 2025-08-14T21:33:22.2054430Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2055244Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2056029Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2056784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2057482Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2058288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2059210Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2060061Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2060895Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2061795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2062708Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2063513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2064028Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2064986Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2066567Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2068256Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2069933Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2071765Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2073693Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2079945Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2090023Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2095719Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2096613Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2096975Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2103068Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2109390Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2110606Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2111013Z | ^~~~~~~~ 2025-08-14T21:33:22.2111617Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2112553Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2113411Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2114192Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2114922Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2115716Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2116762Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2117849Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2118946Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2120010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2120953Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2121854Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2122656Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2123188Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2123971Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2124713Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2125042Z | ^~~~ 2025-08-14T21:33:22.2125587Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2126405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2127184Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2127990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2128694Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2129497Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2130384Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2131259Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2132094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2132987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2133901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2134705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2135224Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2136179Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2137671Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2139310Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2141050Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2142843Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2144777Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2150844Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2161011Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2166715Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2167621Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2167984Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2174025Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2180459Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2181759Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2182166Z | ^~~~~~~~ 2025-08-14T21:33:22.2182772Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2183709Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2184562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2185395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2186202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2186990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2188100Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2189189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2190287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2191353Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2192303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2193199Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2194006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2194543Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2195334Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2196038Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2196372Z | ^~~~ 2025-08-14T21:33:22.2196919Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2197780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2198560Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2199323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2200029Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2200828Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2201706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2202557Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2203395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2204286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2205203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2206039Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2206556Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2207510Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2209036Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2210692Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2212409Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2214219Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2216139Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2222118Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2232244Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2237942Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2238828Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2239225Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2245270Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2251467Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2252692Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2253092Z | ^~~~~~~~ 2025-08-14T21:33:22.2253692Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2254666Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2255513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2256290Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2257027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2257813Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2258822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2259909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2260999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2262046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2263043Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2263939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2264740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2265254Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2266173Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2266889Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2267224Z | ^~~~ 2025-08-14T21:33:22.2267762Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2268581Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2269390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2270146Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2270846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2271648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2272529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2273375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2274208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2275106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2276220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2277040Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2277647Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2278629Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2280129Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2281779Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2283455Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2285257Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2287181Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2293273Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2303297Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2309092Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2309986Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2310349Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2316402Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2322712Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2323942Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2324343Z | ^~~~~~~~ 2025-08-14T21:33:22.2324935Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2325877Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2326762Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2327550Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2328279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2329075Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2330083Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2331166Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2332258Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2333313Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2334278Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2335171Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2336009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2336530Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2337334Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2338046Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2338392Z | ^~~~ 2025-08-14T21:33:22.2338932Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2339744Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2340516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2341277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2341977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2342773Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2343693Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2344539Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2345372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2346391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2347322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2348132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2348649Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2349652Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2351157Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2352806Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2354499Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2356275Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2358218Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2363765Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2373076Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2378661Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2379559Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2379995Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2385584Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2391540Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2392814Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2393211Z | ^~~~~~~~ 2025-08-14T21:33:22.2393797Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2394757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2395597Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2396380Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2397094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2397904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2398908Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2399993Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2401118Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2402183Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2403140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2404080Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2404875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2405413Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2406215Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2406965Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2407289Z | ^~~~ 2025-08-14T21:33:22.2407844Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2408658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2408992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2409315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2409603Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2409998Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2410383Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2410748Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2411127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2411538Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2411957Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2412272Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2412385Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2413133Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2413958Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2414866Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2415742Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2416763Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2417835Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2422946Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2428683Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2429532Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2429686Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2429815Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2435655Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2436894Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2437142Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2437230Z | ^~~~~~~~ 2025-08-14T21:33:22.2437673Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2438082Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2438422Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2438772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2439056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2439457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2439971Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2440448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2440960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2441439Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2441848Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2442234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2442542Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2442673Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2443251Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2443384Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2443489Z | ^~~~ 2025-08-14T21:33:22.2443867Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2444215Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2444544Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2444882Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2445184Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2445579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2445956Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2446349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2446711Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2447133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2447549Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2447862Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2447975Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2448706Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2449552Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2450441Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2451336Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2452335Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2453386Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2458449Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2464205Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2464999Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2465156Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2465280Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2471145Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2472420Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2472629Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2472714Z | ^~~~~~~~ 2025-08-14T21:33:22.2473164Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2473575Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2473908Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2474286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2474570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2474969Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2475505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2476149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2476664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2477114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2477566Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2477968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2478270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2478398Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2478975Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2479111Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2479213Z | ^~~~ 2025-08-14T21:33:22.2479583Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2479918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2480256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2480563Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2480863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2481314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2481682Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2482059Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2482426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2482847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2483229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2483531Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2483660Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2484402Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2485239Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2486175Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2487135Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2488143Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2489222Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2494268Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2499919Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2500749Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2500901Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2501059Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2507013Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2508262Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2508466Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2508566Z | ^~~~~~~~ 2025-08-14T21:33:22.2509012Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2509427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2509760Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2510087Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2510385Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2510816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2511321Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2511803Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2512300Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2512758Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2513180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2513581Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2513881Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2513991Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2514639Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2514778Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2514882Z | ^~~~ 2025-08-14T21:33:22.2515247Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2515573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2515923Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2516228Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2516513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2516924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2517316Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2517692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2518057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2518488Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2518875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2519174Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2519299Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2520031Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2520868Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2521759Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2522679Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2523692Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2524743Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2529391Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2534699Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2535483Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2535651Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2535763Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2541139Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2542428Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2542633Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2542717Z | ^~~~~~~~ 2025-08-14T21:33:22.2543206Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2543608Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2543957Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2544284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2544579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2544991Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2545484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2546074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2546572Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2547024Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2547433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2547818Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2548131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2548244Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2548826Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2548971Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2549061Z | ^~~~ 2025-08-14T21:33:22.2549437Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:22.2549766Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:22.2550132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:22.2550451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:22.2550738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:22.2551151Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:22.2551516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:22.2551879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:22.2552294Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:22.2552709Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:22.2553108Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:22.2553409Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2553549Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2554304Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:22.2555135Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:22.2556044Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:22.2556926Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:22.2557987Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:22.2559026Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:22.2564264Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:22.2570027Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:22.2570842Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:22.2571009Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:22.2571123Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:22.2577294Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:22.2578546Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:22.2578762Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:22.2578850Z | ^~~~~~~~ 2025-08-14T21:33:22.2579313Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:22.2579715Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:22.2580099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:22.2580442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:22.2580725Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:22.2581146Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:22.2581643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:22.2582117Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:22.2582672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:22.2583126Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:22.2583530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:22.2583970Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:22.2584285Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:22.2584398Z from rng_extension.cpp:1: 2025-08-14T21:33:22.2584978Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:22.2585131Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:22.2585226Z | ^~~~ 2025-08-14T21:33:22.2588308Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:22.7652138Z running install_lib 2025-08-14T21:33:22.7743613Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:22.7818501Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:22.7894706Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:22.7977258Z running install_egg_info 2025-08-14T21:33:22.8176647Z running egg_info 2025-08-14T21:33:22.8256041Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-14T21:33:22.8259551Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-14T21:33:22.8271542Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-14T21:33:22.8281540Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-14T21:33:22.8374229Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:22.8383630Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:22.8394446Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-14T21:33:22.8396087Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-14T21:33:22.8401616Z running install_scripts 2025-08-14T21:33:25.0394271Z running install 2025-08-14T21:33:25.0395767Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:33:25.0396548Z !! 2025-08-14T21:33:25.0396657Z 2025-08-14T21:33:25.0397007Z ******************************************************************************** 2025-08-14T21:33:25.0397391Z Please avoid running ``setup.py`` directly. 2025-08-14T21:33:25.0397786Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:33:25.0398146Z standards-based tools. 2025-08-14T21:33:25.0398328Z 2025-08-14T21:33:25.0398548Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:33:25.0399103Z or your builds will no longer be supported. 2025-08-14T21:33:25.0399352Z 2025-08-14T21:33:25.0399664Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:33:25.0400190Z ******************************************************************************** 2025-08-14T21:33:25.0400423Z 2025-08-14T21:33:25.0400504Z !! 2025-08-14T21:33:25.0400725Z self.initialize_options() 2025-08-14T21:33:25.0531276Z running build 2025-08-14T21:33:25.0531675Z running build_ext 2025-08-14T21:33:25.0860783Z building 'no_python_abi_suffix_test' extension 2025-08-14T21:33:25.0864081Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313 2025-08-14T21:33:25.2017165Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17 2025-08-14T21:33:25.2064390Z creating build/lib.linux-x86_64-cpython-313 2025-08-14T21:33:25.2069348Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so 2025-08-14T21:33:25.3181877Z running install_lib 2025-08-14T21:33:25.3275425Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-14T21:33:25.3281672Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-14T21:33:25.3286607Z running install_egg_info 2025-08-14T21:33:25.3485858Z running egg_info 2025-08-14T21:33:25.3562435Z creating no_python_abi_suffix_test.egg-info 2025-08-14T21:33:25.3563349Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-14T21:33:25.3567005Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-14T21:33:25.3569352Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-14T21:33:25.3570459Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-14T21:33:25.3653446Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-14T21:33:25.3660527Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-14T21:33:25.3662032Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info 2025-08-14T21:33:25.3667394Z running install_scripts 2025-08-14T21:33:25.8613297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:33:25.8616234Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:33:25.861406] 2025-08-14T21:33:29.1797791Z 2025-08-14T21:33:29.1798679Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_ede3ba042cc4dee2_.log 2025-08-14T21:33:29.1806627Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2025-08-14T21:33:29.1813767Z 2025-08-14T21:33:29.1813968Z Running test_autoload_disable 1/1 ... [2025-08-14 21:33:29.180080] 2025-08-14T21:33:31.5347235Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:33:31.5348956Z import pkg_resources 2025-08-14T21:33:31.6030233Z running install 2025-08-14T21:33:31.6032463Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:33:31.6033217Z !! 2025-08-14T21:33:31.6033357Z 2025-08-14T21:33:31.6033481Z ******************************************************************************** 2025-08-14T21:33:31.6033854Z Please avoid running ``setup.py`` directly. 2025-08-14T21:33:31.6034243Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:33:31.6034592Z standards-based tools. 2025-08-14T21:33:31.6034792Z 2025-08-14T21:33:31.6035175Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:33:31.6035648Z or your builds will no longer be supported. 2025-08-14T21:33:31.6035882Z 2025-08-14T21:33:31.6036176Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:33:31.6036695Z ******************************************************************************** 2025-08-14T21:33:31.6037006Z 2025-08-14T21:33:31.6037085Z !! 2025-08-14T21:33:31.6037307Z self.initialize_options() 2025-08-14T21:33:31.6169158Z running build 2025-08-14T21:33:31.6169387Z running build_py 2025-08-14T21:33:31.6258164Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:31.6260453Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:31.6263816Z running build_ext 2025-08-14T21:33:31.6283909Z building 'torch_test_cpp_extension.cpp' extension 2025-08-14T21:33:31.6285509Z creating build/temp.linux-x86_64-cpython-313 2025-08-14T21:33:31.6290068Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-14T21:33:32.9308569Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-08-14T21:33:32.9309580Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-08-14T21:33:32.9310415Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-08-14T21:33:32.9310941Z from extension.cpp:1: 2025-08-14T21:33:32.9312226Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-08-14T21:33:32.9313053Z extension.cpp:45:53: required from here 2025-08-14T21:33:32.9314464Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-08-14T21:33:32.9315642Z 1539 | class class_ : public detail::generic_type { 2025-08-14T21:33:32.9315991Z | ^~~~~~ 2025-08-14T21:33:32.9317548Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-08-14T21:33:32.9319183Z extension.cpp:45:53: required from here 2025-08-14T21:33:32.9321582Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-08-14T21:33:32.9323446Z 1599 | with_internals([&](internals &internals) { 2025-08-14T21:33:32.9323821Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:32.9324418Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-08-14T21:33:32.9324969Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:32.9325414Z 1601 | : internals.registered_types_cpp; 2025-08-14T21:33:32.9325817Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:32.9326293Z 1602 | instances[std::type_index(typeid(type_alias))] 2025-08-14T21:33:32.9326677Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:32.9327061Z 1603 | = instances[std::type_index(typeid(type))]; 2025-08-14T21:33:32.9327445Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:32.9327752Z 1604 | }); 2025-08-14T21:33:32.9327995Z | ~ 2025-08-14T21:33:32.9331184Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:33.5913486Z building 'torch_test_cpp_extension.maia' extension 2025-08-14T21:33:33.5917929Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-14T21:33:34.6887325Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:35.3333034Z building 'torch_test_cpp_extension.rng' extension 2025-08-14T21:33:35.3337399Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-14T21:33:36.5866508Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:36.5867743Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:36.5869161Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:36.5871196Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:36.5872511Z from rng_extension.cpp:6: 2025-08-14T21:33:36.5874411Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1478: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:36.5876366Z 1478 | #pragma unroll 2025-08-14T21:33:36.5876921Z | 2025-08-14T21:33:36.5877869Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-08-14T21:33:36.5878897Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1530, 2025-08-14T21:33:36.5880336Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:36.5882063Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:36.5894331Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:36.5895816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:36.5896507Z from rng_extension.cpp:6: 2025-08-14T21:33:36.5897723Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:36.5898474Z 59 | #pragma unroll 2025-08-14T21:33:36.5898723Z | 2025-08-14T21:33:36.5899534Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:36.5900298Z 72 | #pragma unroll 2025-08-14T21:33:36.5900525Z | 2025-08-14T21:33:36.5901318Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:36.5902062Z 87 | #pragma unroll 2025-08-14T21:33:36.5902285Z | 2025-08-14T21:33:36.5903059Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1531, 2025-08-14T21:33:36.5904063Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-08-14T21:33:36.5904845Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-08-14T21:33:36.5905588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-08-14T21:33:36.5906546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-08-14T21:33:36.5907199Z from rng_extension.cpp:6: 2025-08-14T21:33:36.5908130Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-08-14T21:33:36.5908886Z 160 | #pragma unroll 2025-08-14T21:33:36.5909126Z | 2025-08-14T21:33:36.5909621Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.5910502Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.5911286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.5912041Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.5912825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.5913618Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.5914494Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.5915345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.5916209Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.5917095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.5918012Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.5918863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.5919399Z from rng_extension.cpp:1: 2025-08-14T21:33:36.5920432Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.5921952Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.5923610Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.5925296Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.5927117Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.5929072Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.5935133Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.5945213Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.5950979Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.5951878Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.5952268Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.5958318Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.5964613Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.5965841Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.5966233Z | ^~~~~~~~ 2025-08-14T21:33:36.5966867Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.5967824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.5968660Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.5969442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.5970214Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.5971016Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.5972008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.5973103Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.5974200Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.5975262Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.5976509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.5977403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.5978211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.5978747Z from rng_extension.cpp:1: 2025-08-14T21:33:36.5979573Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.5980279Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.5980617Z | ^~~~ 2025-08-14T21:33:36.5981174Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.5981988Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.5982780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.5983540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.5984259Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.5985053Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.5986044Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.5986900Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.5987782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.5988672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.5989599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.5990416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.5991032Z from rng_extension.cpp:1: 2025-08-14T21:33:36.5992002Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.5993515Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.5995216Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.5996904Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.5998707Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6000657Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6006578Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6016428Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6022087Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6022966Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6023337Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6030073Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6036295Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6037532Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6037934Z | ^~~~~~~~ 2025-08-14T21:33:36.6038521Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6039474Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6040328Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6041105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6041823Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6042615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6043675Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6044765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6045850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6046908Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6047868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6048766Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6049605Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6050126Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6050931Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6051644Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6052001Z | ^~~~ 2025-08-14T21:33:36.6052559Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6053378Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6054151Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6054896Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6055608Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6056407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6057282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6058168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6059017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6059909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6060825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6061622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6062154Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6063112Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6064624Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6066341Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6068027Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6069883Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6071834Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6077754Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6087537Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6092923Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6093815Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6094212Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6099825Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6105800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6107075Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6107483Z | ^~~~~~~~ 2025-08-14T21:33:36.6108070Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6109025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6109907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6110695Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6111418Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6112226Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6113247Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6114329Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6115413Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6116482Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6117446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6118350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6119173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6119709Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6120516Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6121232Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6121552Z | ^~~~ 2025-08-14T21:33:36.6122114Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6122925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6123690Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6124443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6125160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6125958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6126860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6127706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6128553Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6129449Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6130396Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6131196Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6131725Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6132680Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6134211Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6135840Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6137533Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6139326Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6141269Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6147196Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6157171Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6162793Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6163720Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6164100Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6170027Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6176401Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6177625Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6178033Z | ^~~~~~~~ 2025-08-14T21:33:36.6178625Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6179579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6180424Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6181187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6181924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6182721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6183720Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6184885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6186066Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6187136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6188151Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6189051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6189839Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6190369Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6191229Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6191924Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6192265Z | ^~~~ 2025-08-14T21:33:36.6192813Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6193629Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6194396Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6195152Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6195860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6196669Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6197535Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6198383Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6199233Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6200187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6201091Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6201896Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6202430Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6203405Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6204883Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6206536Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6208212Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6210072Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6212005Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6217581Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6226941Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6232331Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6233226Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6233604Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6239245Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6245144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6246368Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6246765Z | ^~~~~~~~ 2025-08-14T21:33:36.6247400Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6248355Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6249189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6249976Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6250713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6251519Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6252513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6253606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6254692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6255757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6256735Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6257630Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6258434Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6258966Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6259757Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6260466Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6260796Z | ^~~~ 2025-08-14T21:33:36.6261350Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6262159Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6262935Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6263686Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6264449Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6265241Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6266201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6267049Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6267937Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6268820Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6269732Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6270564Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6271098Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6272045Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6273545Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6275185Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6277055Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6278870Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6280809Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6286412Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6295726Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6301115Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6302009Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6302367Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6308068Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6313995Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6315227Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6315634Z | ^~~~~~~~ 2025-08-14T21:33:36.6316232Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6317168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6318013Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6318794Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6319528Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6320311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6321352Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6322435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6323523Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6324595Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6325557Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6326452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6327255Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6327803Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6328604Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6329307Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6329639Z | ^~~~ 2025-08-14T21:33:36.6330177Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6330999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6331776Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6332530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6333234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6334040Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6334923Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6335770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6336649Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6337543Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6338454Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6339261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6339783Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6340736Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6342235Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6343877Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6345548Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6347488Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6349479Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6355058Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6364334Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6369722Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6370607Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6370989Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6376854Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6382779Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6384006Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6384418Z | ^~~~~~~~ 2025-08-14T21:33:36.6385053Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6386077Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6386924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6387718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6388435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6389237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6390259Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6391346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6392418Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6393481Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6394489Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6395383Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6396176Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6396711Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6397515Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6398224Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6398545Z | ^~~~ 2025-08-14T21:33:36.6399099Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6399925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6400692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6401446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6402199Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6402999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6403868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6404742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6405596Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6406483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6407385Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6408218Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6408748Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6409704Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6411201Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6412830Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6414519Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6416314Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6418258Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6424116Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6434175Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6439776Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6440667Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6441043Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6446951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6453117Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6454333Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6454718Z | ^~~~~~~~ 2025-08-14T21:33:36.6455317Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6456276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6457117Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6457884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6458656Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6459461Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6460467Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6461541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6462670Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6463731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6464687Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6465695Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6466497Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6467026Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6467831Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6468535Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6468868Z | ^~~~ 2025-08-14T21:33:36.6469415Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6470235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6471013Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6471771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6472482Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6473279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6474192Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6475045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6475896Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6476968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6477868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6478673Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6479202Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6480173Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6481652Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6483383Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6485062Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6486902Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6488858Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6494429Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6503739Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6509181Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6510084Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6510463Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6516153Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6522098Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6523305Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6523710Z | ^~~~~~~~ 2025-08-14T21:33:36.6524312Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6525271Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6526102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6526885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6527623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6528423Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6529417Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6530503Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6531619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6532683Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6533630Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6534528Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6535336Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6535864Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6536653Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6537364Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6537703Z | ^~~~ 2025-08-14T21:33:36.6538256Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6539061Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6539880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6540635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6541345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6542164Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6543050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6543893Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6544738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6545728Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6546648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6547457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6547992Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6548945Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6550443Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6552102Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6553788Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6555586Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6557561Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6563115Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6572503Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6578093Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6578987Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6579359Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6584980Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6591025Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6592430Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6592838Z | ^~~~~~~~ 2025-08-14T21:33:36.6593444Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6594384Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6595232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6596010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6596811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6597598Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6598602Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6599718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6600812Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6601866Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6602863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6603764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6604571Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6605086Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6605901Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6606616Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6606954Z | ^~~~ 2025-08-14T21:33:36.6607496Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6608321Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6609102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6609842Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6610549Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6611348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6612261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6613097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6613946Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6614840Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6615765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6616562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6617102Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6618074Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6619579Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6621263Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6622944Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6624756Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6626784Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6632390Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6641668Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6647043Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6647936Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6648308Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6653930Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6659838Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6661065Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6661467Z | ^~~~~~~~ 2025-08-14T21:33:36.6662051Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6663003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6663847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6664626Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6665349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6666214Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6667220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6668367Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6669444Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6670510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6671472Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6672368Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6673166Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6673699Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6674516Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6675227Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6675548Z | ^~~~ 2025-08-14T21:33:36.6676274Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6677195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6677965Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6678717Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6679430Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6680275Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6681150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6681998Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6682885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6683783Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6684689Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6685500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6686036Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6687010Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6688491Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6690132Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6691816Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6693618Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6695606Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6701155Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6710606Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6715933Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6716821Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6717191Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6722809Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6728722Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6729939Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6730326Z | ^~~~~~~~ 2025-08-14T21:33:36.6730923Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6731871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6732706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6733521Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6734254Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6735049Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6736045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6737157Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6738252Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6739320Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6740303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6741189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6741994Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6742527Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6743320Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6744031Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6744362Z | ^~~~ 2025-08-14T21:33:36.6744909Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6745789Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6746570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6747328Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6748046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6748880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6749762Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6750608Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6751464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6752354Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6753273Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6754082Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6754617Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6755571Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6757066Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6758750Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6760427Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6762271Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6764207Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6770087Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6780117Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6785927Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6786825Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6787186Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6793297Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6799444Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6800653Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6801053Z | ^~~~~~~~ 2025-08-14T21:33:36.6801649Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6802598Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6803440Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6804221Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6804945Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6805745Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6806782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6807868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6808960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6810026Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6810972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6811872Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6812686Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6813217Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6814005Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6814752Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6815088Z | ^~~~ 2025-08-14T21:33:36.6815634Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6816438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6817218Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6818007Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6818706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6819507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6820420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6821275Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6822110Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6823003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6823927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6824734Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6825248Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6826281Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6827780Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6829415Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6831142Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6832936Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6834887Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6840834Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6850938Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6856619Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6857502Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6857859Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6863863Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6870206Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6871449Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6871855Z | ^~~~~~~~ 2025-08-14T21:33:36.6872451Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6873403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6874237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6875079Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6875805Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6876789Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6877888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6878973Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6880064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6881141Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6882094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6882992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6883802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6884330Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6885135Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6885843Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6886175Z | ^~~~ 2025-08-14T21:33:36.6886720Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6887585Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6888361Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6889131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6889842Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6890645Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6891524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6892382Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6893222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6894120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6895036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6895891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6896411Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6897381Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6898930Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6900586Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6902303Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6904122Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6906139Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6912108Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6922231Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6927941Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.6928832Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.6929229Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.6935275Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.6941519Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.6942728Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.6943122Z | ^~~~~~~~ 2025-08-14T21:33:36.6943719Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.6944732Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.6945567Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.6946427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.6947173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.6947979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.6948980Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.6950068Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.6951165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.6952231Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.6953214Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.6954108Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.6954913Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6955443Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6956269Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.6956977Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.6957309Z | ^~~~ 2025-08-14T21:33:36.6957846Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.6958671Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.6959495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.6960253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.6960954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.6961761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.6962641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.6963490Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.6964329Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.6965223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.6966137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.6966938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.6967494Z from rng_extension.cpp:1: 2025-08-14T21:33:36.6968447Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.6969947Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.6971591Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.6973270Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.6975075Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.6977214Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.6983338Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.6993460Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.6999178Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7000063Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7000419Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7006445Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7012837Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7014053Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7014452Z | ^~~~~~~~ 2025-08-14T21:33:36.7015048Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7016036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7016869Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7017643Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7018373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7019187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7020183Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7021266Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7022366Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7023431Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7024373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7025305Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7026173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7026704Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7027503Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7028223Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7028559Z | ^~~~ 2025-08-14T21:33:36.7029096Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7029914Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7030700Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7031461Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7032165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7032969Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7033894Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7034747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7035588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7036517Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7037435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7038242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7038762Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7039758Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7041260Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7042908Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7044589Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7046391Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7048324Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7054314Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7064401Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7070210Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7071100Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7071501Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7077866Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7084533Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7097083Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7097497Z | ^~~~~~~~ 2025-08-14T21:33:36.7098114Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7099067Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7100064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7100857Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7101571Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7102372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7103433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7104529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7105740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7106818Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7107770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7108673Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7109539Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7110077Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7110965Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7111680Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7112019Z | ^~~~ 2025-08-14T21:33:36.7112586Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7113390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7114170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7114927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7115644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7116438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7117322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7118222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7119069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7119950Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7120877Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7121693Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7122229Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7123211Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7124767Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7126413Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7128144Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7129941Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7131888Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7137879Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7148068Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7153765Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7154693Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7155062Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7161115Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7167436Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7168644Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7169054Z | ^~~~~~~~ 2025-08-14T21:33:36.7169664Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7170622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7171452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7172248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7172978Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7173782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7174784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7175929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7177274Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7178343Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7179298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7180197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7181008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7181610Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7182424Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7183142Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7183480Z | ^~~~ 2025-08-14T21:33:36.7184036Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7184890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7185733Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7186498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7187217Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7188013Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7188895Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7189746Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7190642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7191525Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7192439Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7193250Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7193782Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7194743Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7196247Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7197899Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7199581Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7201433Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7203374Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7209373Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7219469Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7225165Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7226118Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7226493Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7232511Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7238775Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7239997Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7240398Z | ^~~~~~~~ 2025-08-14T21:33:36.7240992Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7241963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7242805Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7243580Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7244313Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7245106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7246112Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7247204Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7248324Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7249377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7250341Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7251245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7252045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7252564Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7253370Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7254084Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7254418Z | ^~~~ 2025-08-14T21:33:36.7254960Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7255776Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7256626Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7257377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7258074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7258874Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7259758Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7260611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7261449Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7262375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7263287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7264092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7264638Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7265596Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7267176Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7268829Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7270521Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7272358Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7274298Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7280462Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7290612Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7296343Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7297237Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7297597Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7303688Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7310025Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7311247Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7311654Z | ^~~~~~~~ 2025-08-14T21:33:36.7312255Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7313208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7314094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7314879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7315613Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7316428Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7317429Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7318522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7319668Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7320738Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7321691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7322617Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7323421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7323951Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7324742Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7325453Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7325792Z | ^~~~ 2025-08-14T21:33:36.7326327Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7327137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7327916Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7328708Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7329408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7330205Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7331086Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7331941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7332776Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7333672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7334593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7335399Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7335917Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7336873Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7338408Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7340044Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7341735Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7343528Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7345497Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7351541Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7361661Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7367340Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7368262Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7368622Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7374699Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7381157Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7382373Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7382792Z | ^~~~~~~~ 2025-08-14T21:33:36.7383395Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7384333Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7385174Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7386115Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7386851Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7387641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7388649Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7389741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7390834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7391906Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7392852Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7393750Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7394559Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7395132Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7395926Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7396633Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7396967Z | ^~~~ 2025-08-14T21:33:36.7397513Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7398330Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7399114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7399864Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7400605Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7401412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7402297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7403190Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7404030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7404928Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7405840Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7406651Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7407167Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7408119Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7409660Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7411304Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7412989Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7414784Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7416706Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7422234Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7431668Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7437040Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7437919Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7438295Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7443946Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7449814Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7451050Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7451492Z | ^~~~~~~~ 2025-08-14T21:33:36.7452079Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7453039Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7453895Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7454685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7455406Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7456205Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7457243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7458335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7459413Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7460509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7461463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7462363Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7463178Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7463697Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7464498Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7465206Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7465531Z | ^~~~ 2025-08-14T21:33:36.7466189Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7467006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7467339Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7467656Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7467952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7468349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7468730Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7469099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7469476Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7469891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7470280Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7470623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7470737Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7471501Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7472336Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7473245Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7474170Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7475190Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7476475Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7481533Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7487185Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7488024Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7488229Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7488346Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7494212Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7495434Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7495645Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7495735Z | ^~~~~~~~ 2025-08-14T21:33:36.7496192Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7496585Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7496921Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7497260Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7497579Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7497992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7498484Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7498966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7499480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7499929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7500341Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7500727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7501026Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7501228Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7501803Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7501951Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7502042Z | ^~~~ 2025-08-14T21:33:36.7502407Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7502780Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7503113Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7503420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7503718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7504147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7504524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7504883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7505245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7505733Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7506121Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7506438Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7506551Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7507286Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7508126Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7509057Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7509940Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7510949Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7511995Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7517084Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7522799Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7523600Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7523750Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7523873Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7529696Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7530924Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7531172Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7531256Z | ^~~~~~~~ 2025-08-14T21:33:36.7531696Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7532127Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7532463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7532799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7533084Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7533520Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7534027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7534499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7535010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7535455Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7535848Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7536248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7536547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7536668Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7537242Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7537409Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7537510Z | ^~~~ 2025-08-14T21:33:36.7537878Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7538220Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7538552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7538857Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7539154Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7539548Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7539934Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7540297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7540658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7541117Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7541505Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7541817Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7541931Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7542691Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7543529Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7544446Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7545343Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7546427Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7547486Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7552515Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7558221Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7559074Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7559228Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7559354Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7565163Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7566399Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7566635Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7566745Z | ^~~~~~~~ 2025-08-14T21:33:36.7567188Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7567597Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7567940Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7568267Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7568562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7568958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7569475Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7569951Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7570446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7570942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7571335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7571731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7572063Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7572179Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7572772Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7572908Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7573018Z | ^~~~ 2025-08-14T21:33:36.7573456Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7573789Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7574130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7574441Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7574747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7575141Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7575508Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7575891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7576420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7576847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7577235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7577605Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7577729Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7578469Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7579321Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7580204Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7581096Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7582096Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7583199Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7587980Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7593209Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7594036Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7594187Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7594303Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7599708Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7600958Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7601191Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7601292Z | ^~~~~~~~ 2025-08-14T21:33:36.7601732Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7602128Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7602507Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7602836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7603116Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7603524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7604022Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7604508Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7605010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7605469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7605858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7606245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7606588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7606699Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7607276Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7607428Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7607518Z | ^~~~ 2025-08-14T21:33:36.7607901Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-08-14T21:33:36.7608230Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-08-14T21:33:36.7608557Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-08-14T21:33:36.7608879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-08-14T21:33:36.7609169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-08-14T21:33:36.7609577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-08-14T21:33:36.7609976Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-08-14T21:33:36.7610342Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-08-14T21:33:36.7610721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-08-14T21:33:36.7611131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-08-14T21:33:36.7611589Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-08-14T21:33:36.7611893Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7612003Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7612747Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-08-14T21:33:36.7613609Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-08-14T21:33:36.7614512Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-08-14T21:33:36.7615396Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-08-14T21:33:36.7616411Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-08-14T21:33:36.7617459Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-08-14T21:33:36.7622501Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-08-14T21:33:36.7628331Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-08-14T21:33:36.7629160Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-08-14T21:33:36.7629360Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-08-14T21:33:36.7629474Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-08-14T21:33:36.7635297Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-08-14T21:33:36.7636563Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-08-14T21:33:36.7636766Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-08-14T21:33:36.7636852Z | ^~~~~~~~ 2025-08-14T21:33:36.7637312Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-08-14T21:33:36.7637705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-08-14T21:33:36.7638050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-08-14T21:33:36.7638386Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-08-14T21:33:36.7638667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-08-14T21:33:36.7639078Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-08-14T21:33:36.7639599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-08-14T21:33:36.7640091Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-08-14T21:33:36.7640589Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-08-14T21:33:36.7641060Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-08-14T21:33:36.7641469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-08-14T21:33:36.7641855Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-08-14T21:33:36.7642169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-08-14T21:33:36.7642304Z from rng_extension.cpp:1: 2025-08-14T21:33:36.7642876Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-08-14T21:33:36.7643022Z 413 | PtrVector data(base, base + ntensor); 2025-08-14T21:33:36.7643111Z | ^~~~ 2025-08-14T21:33:36.7646052Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:37.2712665Z running install_lib 2025-08-14T21:33:37.2803473Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:37.2878661Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:37.2954792Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:37.3037865Z running install_egg_info 2025-08-14T21:33:37.3234791Z running egg_info 2025-08-14T21:33:37.3315036Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-14T21:33:37.3318587Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-14T21:33:37.3320601Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-14T21:33:37.3322853Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-14T21:33:37.3409196Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:37.3417859Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:37.3419797Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-14T21:33:37.3421286Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-14T21:33:37.3428271Z running install_scripts 2025-08-14T21:33:40.4843336Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:33:40.4844905Z import pkg_resources 2025-08-14T21:33:40.5116325Z 2025-08-14T21:33:40.5116813Z Running tests... 2025-08-14T21:33:40.5117170Z ---------------------------------------------------------------------- 2025-08-14T21:33:40.5233667Z . 2025-08-14T21:33:40.5234093Z ---------------------------------------------------------------------- 2025-08-14T21:33:40.5234490Z Ran 1 test in 0.012s 2025-08-14T21:33:40.5234644Z 2025-08-14T21:33:40.5234736Z OK 2025-08-14T21:33:40.5234840Z 2025-08-14T21:33:40.5234945Z Generating XML reports... 2025-08-14T21:33:41.2821942Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-14 21:33:41.281860] 2025-08-14T21:33:43.6772308Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:33:43.6773804Z import pkg_resources 2025-08-14T21:33:43.7454806Z running install 2025-08-14T21:33:43.7456982Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:33:43.7457750Z !! 2025-08-14T21:33:43.7457871Z 2025-08-14T21:33:43.7457994Z ******************************************************************************** 2025-08-14T21:33:43.7458372Z Please avoid running ``setup.py`` directly. 2025-08-14T21:33:43.7458769Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:33:43.7459124Z standards-based tools. 2025-08-14T21:33:43.7459318Z 2025-08-14T21:33:43.7459541Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:33:43.7460007Z or your builds will no longer be supported. 2025-08-14T21:33:43.7460241Z 2025-08-14T21:33:43.7460551Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:33:43.7461055Z ******************************************************************************** 2025-08-14T21:33:43.7461299Z 2025-08-14T21:33:43.7461583Z !! 2025-08-14T21:33:43.7461813Z self.initialize_options() 2025-08-14T21:33:43.7597497Z running build 2025-08-14T21:33:43.7597762Z running build_py 2025-08-14T21:33:43.7686843Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:43.7689095Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-08-14T21:33:43.7693030Z running build_ext 2025-08-14T21:33:43.8034112Z building 'torch_test_cpp_extension.cpp' extension 2025-08-14T21:33:43.8035853Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313 2025-08-14T21:33:44.5995434Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-08-14T21:33:44.6097982Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:45.1644516Z building 'torch_test_cpp_extension.maia' extension 2025-08-14T21:33:45.9248978Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-08-14T21:33:45.9301919Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:46.4609697Z building 'torch_test_cpp_extension.rng' extension 2025-08-14T21:33:47.4122433Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-08-14T21:33:47.4176825Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-08-14T21:33:47.9717718Z running install_lib 2025-08-14T21:33:47.9808338Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:47.9849170Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:47.9890594Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-08-14T21:33:47.9936969Z running install_egg_info 2025-08-14T21:33:48.0133046Z running egg_info 2025-08-14T21:33:48.0211680Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-08-14T21:33:48.0215095Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-08-14T21:33:48.0217206Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-08-14T21:33:48.0219349Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-08-14T21:33:48.0306751Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:48.0315116Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-08-14T21:33:48.0316701Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-14T21:33:48.0318497Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-08-14T21:33:48.0324758Z running install_scripts 2025-08-14T21:33:50.2344575Z running install 2025-08-14T21:33:50.2346038Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-08-14T21:33:50.2346801Z !! 2025-08-14T21:33:50.2346929Z 2025-08-14T21:33:50.2347054Z ******************************************************************************** 2025-08-14T21:33:50.2347446Z Please avoid running ``setup.py`` directly. 2025-08-14T21:33:50.2347834Z Instead, use pypa/build, pypa/installer or other 2025-08-14T21:33:50.2348200Z standards-based tools. 2025-08-14T21:33:50.2348385Z 2025-08-14T21:33:50.2348619Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-08-14T21:33:50.2349096Z or your builds will no longer be supported. 2025-08-14T21:33:50.2349328Z 2025-08-14T21:33:50.2349639Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-08-14T21:33:50.2350165Z ******************************************************************************** 2025-08-14T21:33:50.2350409Z 2025-08-14T21:33:50.2350488Z !! 2025-08-14T21:33:50.2350702Z self.initialize_options() 2025-08-14T21:33:50.2483354Z running build 2025-08-14T21:33:50.2483599Z running build_ext 2025-08-14T21:33:50.2815373Z building 'no_python_abi_suffix_test' extension 2025-08-14T21:33:50.3412855Z ninja: no work to do. 2025-08-14T21:33:50.3461419Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so 2025-08-14T21:33:50.4559813Z running install_lib 2025-08-14T21:33:50.4656097Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-08-14T21:33:50.4661203Z running install_egg_info 2025-08-14T21:33:50.4862872Z running egg_info 2025-08-14T21:33:50.4942136Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-08-14T21:33:50.4945942Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-08-14T21:33:50.4959495Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-08-14T21:33:50.5053740Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-14T21:33:50.5061409Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-08-14T21:33:50.5072757Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info' (and everything under it) 2025-08-14T21:33:50.5074103Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info 2025-08-14T21:33:50.5079705Z running install_scripts 2025-08-14T21:33:50.9938946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:33:50.9941658Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:33:50.993960] 2025-08-14T21:33:54.2993205Z 2025-08-14T21:33:54.2994124Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_1adfe61f00d75a26_.log 2025-08-14T21:33:54.3001829Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2025-08-14T21:33:54.3008881Z 2025-08-14T21:33:54.3009114Z Running inductor/test_cudagraph_trees 1/1 ... [2025-08-14 21:33:54.299624] 2025-08-14T21:33:54.3009565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:33:54.3010717Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:33:54.299925] 2025-08-14T21:34:01.1247813Z 2025-08-14T21:34:01.1248806Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_1c130ba826d254f6_.log 2025-08-14T21:34:01.1249772Z 2025-08-14T21:34:01.1251433Z Running inductor/test_aot_inductor 1/1 ... [2025-08-14 21:34:01.124973] 2025-08-14T21:34:01.1251866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:01.1254569Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:01.125265] 2025-08-14T21:34:08.6123786Z 2025-08-14T21:34:08.6124746Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_f91cfe5807cee8bf_.log 2025-08-14T21:34:08.6125444Z 2025-08-14T21:34:08.6127579Z Running dynamo/test_unspec 1/1 ... [2025-08-14 21:34:08.612610] 2025-08-14T21:34:08.6128005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:08.6130834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:08.612898] 2025-08-14T21:34:12.1319429Z 2025-08-14T21:34:12.1320357Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_0cc6b31c62b2315c_.log 2025-08-14T21:34:12.1321368Z Running 0 items in this shard: 2025-08-14T21:34:12.1321562Z 2025-08-14T21:34:12.1323085Z Running inductor/test_mkldnn_pattern_matcher 1/3 ... [2025-08-14 21:34:12.132155] 2025-08-14T21:34:12.1323564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:12.1326345Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:12.132442] 2025-08-14T21:34:19.5066781Z 2025-08-14T21:34:19.5067949Z inductor/test_mkldnn_pattern_matcher 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.3_e8f100045c1f3a48_.log 2025-08-14T21:34:19.5068874Z Running 0 items in this shard: 2025-08-14T21:34:19.5069062Z 2025-08-14T21:34:19.5070625Z Running inductor/test_triton_wrapper 1/1 ... [2025-08-14 21:34:19.506906] 2025-08-14T21:34:19.5071090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:19.5074333Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:19.507228] 2025-08-14T21:34:26.3059194Z 2025-08-14T21:34:26.3060460Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_1f8fe3e93609c448_.log 2025-08-14T21:34:26.3061197Z 2025-08-14T21:34:26.3062679Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-08-14 21:34:26.306109] 2025-08-14T21:34:26.3063145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:26.3066383Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:26.306417] 2025-08-14T21:34:33.2008020Z 2025-08-14T21:34:33.2009007Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_81952ff7ffc25b1c_.log 2025-08-14T21:34:33.2009750Z 2025-08-14T21:34:33.2011801Z Running inductor/test_padding 1/1 ... [2025-08-14 21:34:33.201023] 2025-08-14T21:34:33.2012241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:33.2015543Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:33.201337] 2025-08-14T21:34:39.9525949Z 2025-08-14T21:34:39.9526888Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_e419da676b8a9a3d_.log 2025-08-14T21:34:39.9527620Z 2025-08-14T21:34:39.9529607Z Running inductor/test_cpu_select_algorithm 4/15 ... [2025-08-14 21:34:39.952805] 2025-08-14T21:34:39.9530089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:39.9532984Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=4', '--num-shards=15', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:39.953097] 2025-08-14T21:34:47.6279516Z 2025-08-14T21:34:47.6280568Z inductor/test_cpu_select_algorithm 4/15 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_4.15_e86d63bbc9ac60e9_.log 2025-08-14T21:34:47.6281563Z Running 0 items in this shard: 2025-08-14T21:34:47.6281762Z 2025-08-14T21:34:47.6283504Z Running inductor/test_cpu_select_algorithm 7/15 ... [2025-08-14 21:34:47.628187] 2025-08-14T21:34:47.6284292Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:47.6286965Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=7', '--num-shards=15', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:47.628493] 2025-08-14T21:34:55.3034138Z 2025-08-14T21:34:55.3035205Z inductor/test_cpu_select_algorithm 7/15 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_7.15_4ba9abb911f55759_.log 2025-08-14T21:34:55.3036890Z Running 0 items in this shard: 2025-08-14T21:34:55.3037212Z 2025-08-14T21:34:55.3038014Z Running inductor/test_cpu_select_algorithm 9/15 ... [2025-08-14 21:34:55.303636] 2025-08-14T21:34:55.3038503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:34:55.3042034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=9', '--num-shards=15', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:55.303989] 2025-08-14T21:35:02.9790525Z 2025-08-14T21:35:02.9792138Z inductor/test_cpu_select_algorithm 9/15 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_9.15_6c78c3d89c7452aa_.log 2025-08-14T21:35:02.9794808Z Running 0 items in this shard: 2025-08-14T21:35:02.9795103Z 2025-08-14T21:35:02.9796877Z Running inductor/test_triton_syntax 1/1 ... [2025-08-14 21:35:02.979434] 2025-08-14T21:35:02.9797573Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:02.9801922Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:02.979882] 2025-08-14T21:35:09.7339059Z 2025-08-14T21:35:09.7340039Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_e8ef0074eba23bdd_.log 2025-08-14T21:35:09.7340755Z 2025-08-14T21:35:09.7342535Z Running inductor/test_triton_extension_backend 1/1 ... [2025-08-14 21:35:09.734094] 2025-08-14T21:35:09.7343034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:09.7346066Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:09.734386] 2025-08-14T21:35:17.0738888Z 2025-08-14T21:35:17.0740031Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_f0cf35eb6a9634b2_.log 2025-08-14T21:35:17.0740978Z Running 0 items in this shard: 2025-08-14T21:35:17.0741179Z 2025-08-14T21:35:17.0742617Z Running inductor/test_memory_planning 1/1 ... [2025-08-14 21:35:17.074080] 2025-08-14T21:35:17.0743122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:17.0745922Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:17.074371] 2025-08-14T21:35:24.3371269Z 2025-08-14T21:35:24.3372315Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_422c7af604b1c045_.log 2025-08-14T21:35:24.3373045Z 2025-08-14T21:35:24.3374697Z Running inductor/test_cpu_cpp_wrapper 2/8 ... [2025-08-14 21:35:24.337312] 2025-08-14T21:35:24.3375157Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:24.3378260Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=2', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:24.337623] 2025-08-14T21:35:32.0748325Z 2025-08-14T21:35:32.0749292Z inductor/test_cpu_cpp_wrapper 2/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_2.8_affc280bcd22d2d0_.log 2025-08-14T21:35:32.0750174Z Running 0 items in this shard: 2025-08-14T21:35:32.0750361Z 2025-08-14T21:35:32.0752119Z Running inductor/test_cpu_cpp_wrapper 3/8 ... [2025-08-14 21:35:32.075042] 2025-08-14T21:35:32.0752572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:32.0755407Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:32.075346] 2025-08-14T21:35:39.8000016Z 2025-08-14T21:35:39.8001009Z inductor/test_cpu_cpp_wrapper 3/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_3.8_fdb5d9831ef6677f_.log 2025-08-14T21:35:39.8001851Z Running 0 items in this shard: 2025-08-14T21:35:39.8002288Z 2025-08-14T21:35:39.8003869Z Running inductor/test_cpu_cpp_wrapper 6/8 ... [2025-08-14 21:35:39.800209] 2025-08-14T21:35:39.8004329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:39.8007728Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:39.800550] 2025-08-14T21:35:47.5256532Z 2025-08-14T21:35:47.5257667Z inductor/test_cpu_cpp_wrapper 6/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_6.8_2a62e33530b4f73e_.log 2025-08-14T21:35:47.5258517Z Running 0 items in this shard: 2025-08-14T21:35:47.5258702Z 2025-08-14T21:35:47.5260361Z Running inductor/test_cudacodecache 1/1 ... [2025-08-14 21:35:47.525876] 2025-08-14T21:35:47.5260811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:47.5264126Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:47.526191] 2025-08-14T21:35:54.2184818Z 2025-08-14T21:35:54.2185983Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_c0a5c358d6423412_.log 2025-08-14T21:35:54.2186727Z 2025-08-14T21:35:54.2191587Z Running inductor/test_quantization 1/1 ... [2025-08-14 21:35:54.218985] 2025-08-14T21:35:54.2192041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:35:54.2196555Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:54.219452] 2025-08-14T21:36:01.0346739Z 2025-08-14T21:36:01.0347733Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_053e6aecf4801c63_.log 2025-08-14T21:36:01.0348445Z 2025-08-14T21:36:01.0350376Z Running inductor/test_fxir_backend 1/1 ... [2025-08-14 21:36:01.034878] 2025-08-14T21:36:01.0350811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:01.0354087Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:01.035194] 2025-08-14T21:36:07.8484963Z 2025-08-14T21:36:07.8485840Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_c95e60157859f86e_.log 2025-08-14T21:36:07.8486574Z 2025-08-14T21:36:07.8488376Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-08-14 21:36:07.848685] 2025-08-14T21:36:07.8488903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:07.8491808Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:07.848975] 2025-08-14T21:36:11.1971087Z 2025-08-14T21:36:11.1972181Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_eed0a079794f1437_.log 2025-08-14T21:36:11.1973032Z 2025-08-14T21:36:11.1974583Z Running test_quantization 4/4 ... [2025-08-14 21:36:11.197312] 2025-08-14T21:36:11.1974993Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:11.1978080Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:11.197617] 2025-08-14T21:36:16.2687964Z 2025-08-14T21:36:16.2688851Z test_quantization 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_4.4_b2bc6eae79ef995a_.log 2025-08-14T21:36:16.2689582Z Running 0 items in this shard: 2025-08-14T21:36:16.2689785Z 2025-08-14T21:36:16.2691902Z Running test_dynamic_shapes 1/1 ... [2025-08-14 21:36:16.269006] 2025-08-14T21:36:16.2692316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:16.2695186Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:16.269311] 2025-08-14T21:36:19.8384720Z 2025-08-14T21:36:19.8385879Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_af9824f70e2cfc09_.log 2025-08-14T21:36:19.8386659Z Running 0 items in this shard: 2025-08-14T21:36:19.8386858Z 2025-08-14T21:36:19.8388707Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-08-14 21:36:19.838707] 2025-08-14T21:36:19.8389190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:19.8392202Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:19.839009] 2025-08-14T21:36:26.8637298Z 2025-08-14T21:36:26.8638347Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_7f2f323db9b9ed72_.log 2025-08-14T21:36:26.8639264Z Running 0 items in this shard: 2025-08-14T21:36:26.8639450Z 2025-08-14T21:36:26.8641007Z Running test_package 1/1 ... [2025-08-14 21:36:26.863941] 2025-08-14T21:36:26.8641395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:26.8644542Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:26.864263] 2025-08-14T21:36:30.3834303Z 2025-08-14T21:36:30.3835283Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_4f3745f88d199458_.log 2025-08-14T21:36:30.3835983Z Running 0 items in this shard: 2025-08-14T21:36:30.3836171Z 2025-08-14T21:36:30.3838097Z Running test_hop_infra 1/1 ... [2025-08-14 21:36:30.383650] 2025-08-14T21:36:30.3838753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:30.3841956Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hop_infra.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:30.383963] 2025-08-14T21:36:34.1535390Z 2025-08-14T21:36:34.1536443Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_3c039e274271854c_.log 2025-08-14T21:36:34.1537157Z Running 0 items in this shard: 2025-08-14T21:36:34.1537372Z 2025-08-14T21:36:34.1539378Z Running test_comparison_utils 1/1 ... [2025-08-14 21:36:34.153758] 2025-08-14T21:36:34.1540014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:34.1543153Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:34.154080] 2025-08-14T21:36:37.3727719Z 2025-08-14T21:36:37.3728875Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_c96a280ec7bf52ca_.log 2025-08-14T21:36:37.3729648Z Running 0 items in this shard: 2025-08-14T21:36:37.3729832Z 2025-08-14T21:36:37.3731870Z Running functorch/test_ac_logging 1/1 ... [2025-08-14 21:36:37.373009] 2025-08-14T21:36:37.3732521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:37.3735842Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:37.373321] 2025-08-14T21:36:40.6421900Z 2025-08-14T21:36:40.6423146Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_5bd92c7a6ef7515a_.log 2025-08-14T21:36:40.6423969Z Running 0 items in this shard: 2025-08-14T21:36:40.6424373Z 2025-08-14T21:36:40.6425656Z Running test_mkl_verbose 1/1 ... [2025-08-14 21:36:40.642401] 2025-08-14T21:36:40.6426308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:40.6429678Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:40.642729] 2025-08-14T21:36:43.8614311Z 2025-08-14T21:36:43.8615433Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_53720039e0911661_.log 2025-08-14T21:36:43.8616149Z Running 0 items in this shard: 2025-08-14T21:36:43.8616335Z 2025-08-14T21:36:43.8618387Z Running test_appending_byte_serializer 1/1 ... [2025-08-14 21:36:43.861671] 2025-08-14T21:36:43.8619044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:43.8622141Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_appending_byte_serializer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:43.861982] 2025-08-14T21:36:47.0806128Z 2025-08-14T21:36:47.0807103Z test_appending_byte_serializer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_appending_byte_serializer_1.1_ba75db71197a2384_.log 2025-08-14T21:36:47.0808213Z Running 0 items in this shard: 2025-08-14T21:36:47.0808400Z 2025-08-14T21:36:47.0810004Z Running test_autoload 1/1 ... [2025-08-14 21:36:47.080847] 2025-08-14T21:36:47.0810379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:47.0813361Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autoload.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:47.081160] 2025-08-14T21:36:50.2997529Z 2025-08-14T21:36:50.2998374Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_f870d3215ee0bbb6_.log 2025-08-14T21:36:50.2999074Z Running 0 items in this shard: 2025-08-14T21:36:50.2999259Z 2025-08-14T21:36:50.3001359Z Running test_proxy_tensor 1/2 ... [2025-08-14 21:36:50.299993] 2025-08-14T21:36:50.3001757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:50.3004871Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_proxy_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:50.300299] 2025-08-14T21:36:55.8221159Z 2025-08-14T21:36:55.8221993Z test_proxy_tensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.2_0454f8b32b7d550a_.log 2025-08-14T21:36:55.8223011Z Running 0 items in this shard: 2025-08-14T21:36:55.8223200Z 2025-08-14T21:36:55.8225092Z Running test_mkldnn_verbose 1/1 ... [2025-08-14 21:36:55.822351] 2025-08-14T21:36:55.8225504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:55.8229273Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:55.822703] 2025-08-14T21:36:59.0914158Z 2025-08-14T21:36:59.0915062Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_b68d65c1e56fa321_.log 2025-08-14T21:36:59.0916768Z Running 0 items in this shard: 2025-08-14T21:36:59.0917137Z 2025-08-14T21:36:59.0918826Z Running test_utils_config_module 1/1 ... [2025-08-14 21:36:59.091712] 2025-08-14T21:36:59.0919495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:36:59.0923181Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:36:59.092054] 2025-08-14T21:37:02.3106845Z 2025-08-14T21:37:02.3108032Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_272086bf5c8ae561_.log 2025-08-14T21:37:02.3108836Z Running 0 items in this shard: 2025-08-14T21:37:02.3109024Z 2025-08-14T21:37:02.3111088Z Running test_functionalization 1/1 ... [2025-08-14 21:37:02.310947] 2025-08-14T21:37:02.3111748Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:02.3114996Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:02.311269] 2025-08-14T21:37:05.5799347Z 2025-08-14T21:37:05.5800510Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_240746879821a75c_.log 2025-08-14T21:37:05.5801299Z Running 0 items in this shard: 2025-08-14T21:37:05.5801489Z 2025-08-14T21:37:05.5804361Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-08-14 21:37:05.580204] 2025-08-14T21:37:05.5805120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:05.5807886Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:05.580530] 2025-08-14T21:37:08.7992160Z 2025-08-14T21:37:08.7993525Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_6e24ab408b9d2719_.log 2025-08-14T21:37:08.7994454Z Running 0 items in this shard: 2025-08-14T21:37:08.7994655Z 2025-08-14T21:37:08.7996654Z Running test_transformers 1/2 ... [2025-08-14 21:37:08.799475] 2025-08-14T21:37:08.7997525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:08.8000664Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_transformers.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:08.799811] 2025-08-14T21:37:13.7710597Z 2025-08-14T21:37:13.7711967Z test_transformers 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_1.2_b1ff6fe6628e6c82_.log 2025-08-14T21:37:13.7713096Z Running 0 items in this shard: 2025-08-14T21:37:13.7713351Z 2025-08-14T21:37:13.7714929Z Running test_nestedtensor 2/4 ... [2025-08-14 21:37:13.771303] 2025-08-14T21:37:13.7715610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:13.7718722Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:13.771633] 2025-08-14T21:37:18.6425848Z 2025-08-14T21:37:18.6427234Z test_nestedtensor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_2.4_5702ab839a25c8dd_.log 2025-08-14T21:37:18.6427993Z Running 0 items in this shard: 2025-08-14T21:37:18.6428190Z 2025-08-14T21:37:18.6429273Z Running test_jiterator 1/1 ... [2025-08-14 21:37:18.642772] 2025-08-14T21:37:18.6429937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:18.6433232Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:18.643089] 2025-08-14T21:37:21.8874233Z 2025-08-14T21:37:21.8875377Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_0cc77b5c7ae81ace_.log 2025-08-14T21:37:21.8876261Z Running 0 items in this shard: 2025-08-14T21:37:21.8876491Z 2025-08-14T21:37:21.8878390Z Running test_decomp 3/11 ... [2025-08-14 21:37:21.887688] 2025-08-14T21:37:21.8879058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:21.8882170Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=3', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:21.888000] 2025-08-14T21:37:27.8105545Z 2025-08-14T21:37:27.8106736Z test_decomp 3/11 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.11_e3366da2029f0af4_.log 2025-08-14T21:37:27.8107427Z Running 0 items in this shard: 2025-08-14T21:37:27.8107631Z 2025-08-14T21:37:27.8109368Z Running test_decomp 5/11 ... [2025-08-14 21:37:27.810776] 2025-08-14T21:37:27.8110031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:27.8113091Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:27.811088] 2025-08-14T21:37:33.6834488Z 2025-08-14T21:37:33.6835582Z test_decomp 5/11 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.11_de142d0366ee85d7_.log 2025-08-14T21:37:33.6836311Z Running 0 items in this shard: 2025-08-14T21:37:33.6836514Z 2025-08-14T21:37:33.6838213Z Running test_decomp 9/11 ... [2025-08-14 21:37:33.683672] 2025-08-14T21:37:33.6838887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:33.6842020Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=9', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:33.683986] 2025-08-14T21:37:39.5561779Z 2025-08-14T21:37:39.5562811Z test_decomp 9/11 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.11_1d8b48e481919d8b_.log 2025-08-14T21:37:39.5564017Z Running 0 items in this shard: 2025-08-14T21:37:39.5564337Z 2025-08-14T21:37:39.5565940Z Running test_hub 1/1 ... [2025-08-14 21:37:39.556413] 2025-08-14T21:37:39.5566297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:39.5569363Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hub.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:39.556732] 2025-08-14T21:37:42.8254568Z 2025-08-14T21:37:42.8255335Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_d864f12e3ccf5ead_.log 2025-08-14T21:37:42.8256012Z Running 0 items in this shard: 2025-08-14T21:37:42.8256197Z 2025-08-14T21:37:42.8258383Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-08-14 21:37:42.825689] 2025-08-14T21:37:42.8259071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:42.8262020Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:42.826005] 2025-08-14T21:37:46.0947384Z 2025-08-14T21:37:46.0948617Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_a16357fdd8d75e53_.log 2025-08-14T21:37:46.0949539Z Running 0 items in this shard: 2025-08-14T21:37:46.0949727Z 2025-08-14T21:37:46.0951491Z Running test_cuda_expandable_segments 1/1 ... [2025-08-14 21:37:46.094985] 2025-08-14T21:37:46.0951937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:46.0955189Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:46.095298] 2025-08-14T21:37:50.5035097Z 2025-08-14T21:37:50.5036082Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_313c87e40b968806_.log 2025-08-14T21:37:50.5036847Z 2025-08-14T21:37:50.5038917Z Running test_stateless 1/1 ... [2025-08-14 21:37:50.503738] 2025-08-14T21:37:50.5039313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:50.5042707Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_stateless.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:50.504063] 2025-08-14T21:37:53.7726248Z 2025-08-14T21:37:53.7727339Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_6495aae0af71c3c5_.log 2025-08-14T21:37:53.7728052Z Running 0 items in this shard: 2025-08-14T21:37:53.7728256Z 2025-08-14T21:37:53.7729945Z Running distributions/test_constraints 1/1 ... [2025-08-14 21:37:53.772840] 2025-08-14T21:37:53.7730415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:53.7733476Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:53.773138] 2025-08-14T21:37:57.0417814Z 2025-08-14T21:37:57.0418800Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_88900b8a259729ca_.log 2025-08-14T21:37:57.0419658Z Running 0 items in this shard: 2025-08-14T21:37:57.0419886Z 2025-08-14T21:37:57.0421663Z Running profiler/test_record_function 1/1 ... [2025-08-14 21:37:57.042022] 2025-08-14T21:37:57.0422129Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:37:57.0425272Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:37:57.042326] 2025-08-14T21:38:00.3109740Z 2025-08-14T21:38:00.3110799Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_ca236295fce183ff_.log 2025-08-14T21:38:00.3111653Z Running 0 items in this shard: 2025-08-14T21:38:00.3111839Z 2025-08-14T21:38:00.3113348Z Running nn/test_lazy_modules 1/1 ... [2025-08-14 21:38:00.311180] 2025-08-14T21:38:00.3113758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:00.3117822Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:00.311483] 2025-08-14T21:38:03.5800955Z 2025-08-14T21:38:03.5801845Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_958567aab246ca4e_.log 2025-08-14T21:38:03.5802633Z Running 0 items in this shard: 2025-08-14T21:38:03.5803040Z 2025-08-14T21:38:03.5804412Z Running test_jit_fuser_te 1/1 ... [2025-08-14 21:38:03.580290] 2025-08-14T21:38:03.5804800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:03.5807604Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:03.580572] 2025-08-14T21:38:09.9031594Z 2025-08-14T21:38:09.9032444Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_eac3a0ede03c9157_.log 2025-08-14T21:38:09.9033152Z Running 0 items in this shard: 2025-08-14T21:38:09.9033356Z 2025-08-14T21:38:09.9034976Z Running test_segment_reductions 1/1 ... [2025-08-14 21:38:09.903355] 2025-08-14T21:38:09.9035429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:09.9038336Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:09.903638] 2025-08-14T21:38:13.2223925Z 2025-08-14T21:38:13.2224862Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_ce3c3f9579d04b1f_.log 2025-08-14T21:38:13.2226014Z Running 0 items in this shard: 2025-08-14T21:38:13.2226222Z 2025-08-14T21:38:13.2227246Z Running test_import_stats 1/1 ... [2025-08-14 21:38:13.222576] 2025-08-14T21:38:13.2227681Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:13.2230473Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:13.222854] 2025-08-14T21:38:16.4914957Z 2025-08-14T21:38:16.4915818Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_c8476bd3ee4c9a03_.log 2025-08-14T21:38:16.4916551Z Running 0 items in this shard: 2025-08-14T21:38:16.4916751Z 2025-08-14T21:38:16.4918347Z Running test_masked 1/1 ... [2025-08-14 21:38:16.491686] 2025-08-14T21:38:16.4918724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:16.4921521Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_masked.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:16.491967] 2025-08-14T21:38:20.8620941Z 2025-08-14T21:38:20.8621753Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_52eff219a1274358_.log 2025-08-14T21:38:20.8622712Z Running 0 items in this shard: 2025-08-14T21:38:20.8622915Z 2025-08-14T21:38:20.8624514Z Running test_monitor 1/1 ... [2025-08-14 21:38:20.862306] 2025-08-14T21:38:20.8624901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:20.8627805Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:20.862589] 2025-08-14T21:38:24.0811647Z 2025-08-14T21:38:24.0812467Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_ea2fc29edd09f34e_.log 2025-08-14T21:38:24.0813168Z Running 0 items in this shard: 2025-08-14T21:38:24.0813356Z 2025-08-14T21:38:24.0815326Z Running profiler/test_cpp_thread 1/1 ... [2025-08-14 21:38:24.081388] 2025-08-14T21:38:24.0815779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:24.0818786Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:24.081670] 2025-08-14T21:38:28.5019009Z 2025-08-14T21:38:28.5020096Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_2d817927f46d7e8b_.log 2025-08-14T21:38:28.5020958Z Running 0 items in this shard: 2025-08-14T21:38:28.5021148Z 2025-08-14T21:38:28.5022710Z Running test_subclass 1/1 ... [2025-08-14 21:38:28.502106] 2025-08-14T21:38:28.5023152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:28.5025964Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_subclass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:28.502395] 2025-08-14T21:38:31.7209550Z 2025-08-14T21:38:31.7210646Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_43a0ab529d430ae2_.log 2025-08-14T21:38:31.7211352Z Running 0 items in this shard: 2025-08-14T21:38:31.7211538Z 2025-08-14T21:38:31.7213338Z Running profiler/test_profiler 1/1 ... [2025-08-14 21:38:31.721174] 2025-08-14T21:38:31.7214001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:31.7216883Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:31.721465] 2025-08-14T21:38:35.1904995Z 2025-08-14T21:38:35.1906200Z profiler/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_1.1_dbbccce3a396cfee_.log 2025-08-14T21:38:35.1912533Z Running 10 items in this shard: test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_basic_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_basic_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_close_in_scope_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_close_in_scope_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_complex_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_complex_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_multiple_preexisting_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_multiple_preexisting_work_in_main_thread_True, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_open_in_scope_work_in_main_thread_False, test/profiler/test_profiler.py::TestProfiler::test_source_multithreaded_open_in_scope_work_in_main_thread_True 2025-08-14T21:38:35.1917456Z 2025-08-14T21:38:35.1917714Z Running functorch/test_vmap_registrations 1/1 ... [2025-08-14 21:38:35.190702] 2025-08-14T21:38:35.1918183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:35.1919365Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:35.191031] 2025-08-14T21:38:38.6098666Z 2025-08-14T21:38:38.6099853Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_5452b485f087688f_.log 2025-08-14T21:38:38.6100740Z Running 0 items in this shard: 2025-08-14T21:38:38.6100923Z 2025-08-14T21:38:38.6102704Z Running nn/test_pruning 1/1 ... [2025-08-14 21:38:38.610088] 2025-08-14T21:38:38.6103205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:38.6105988Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pruning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:38.610371] 2025-08-14T21:38:41.8790146Z 2025-08-14T21:38:41.8791274Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_71dfab20973cfcd4_.log 2025-08-14T21:38:41.8792000Z Running 0 items in this shard: 2025-08-14T21:38:41.8792182Z 2025-08-14T21:38:41.8793759Z Running test_itt 1/1 ... [2025-08-14 21:38:41.879228] 2025-08-14T21:38:41.8794383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:41.8797116Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_itt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:41.879502] 2025-08-14T21:38:45.0980108Z 2025-08-14T21:38:45.0981124Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_da6aaaa3c7fa6753_.log 2025-08-14T21:38:45.0981797Z Running 0 items in this shard: 2025-08-14T21:38:45.0981985Z 2025-08-14T21:38:45.0983877Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-08-14 21:38:45.098214] 2025-08-14T21:38:45.0984504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:45.0987376Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:45.098502] 2025-08-14T21:38:48.4672711Z 2025-08-14T21:38:48.4674045Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_17b07d573f16ba89_.log 2025-08-14T21:38:48.4674970Z Running 0 items in this shard: 2025-08-14T21:38:48.4675156Z 2025-08-14T21:38:48.4676365Z Running test_sympy_utils 1/1 ... [2025-08-14 21:38:48.467468] 2025-08-14T21:38:48.4677031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:48.4679922Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sympy_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:48.467764] 2025-08-14T21:38:51.7864312Z 2025-08-14T21:38:51.7865409Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_f4fb4c3fb28485b5_.log 2025-08-14T21:38:51.7866412Z Running 0 items in this shard: 2025-08-14T21:38:51.7866610Z 2025-08-14T21:38:51.7867931Z Running torch_np/test_indexing 1/1 ... [2025-08-14 21:38:51.786631] 2025-08-14T21:38:51.7868580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:51.7871301Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:51.786910] 2025-08-14T21:38:55.0054899Z 2025-08-14T21:38:55.0055942Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_6f5a8eec4514daf0_.log 2025-08-14T21:38:55.0056726Z Running 0 items in this shard: 2025-08-14T21:38:55.0056913Z 2025-08-14T21:38:55.0058333Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-08-14 21:38:55.005665] 2025-08-14T21:38:55.0058990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:55.0062108Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:55.005964] 2025-08-14T21:38:58.3746635Z 2025-08-14T21:38:58.3747991Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_917e43f0e1f58f73_.log 2025-08-14T21:38:58.3748960Z Running 0 items in this shard: 2025-08-14T21:38:58.3749161Z 2025-08-14T21:38:58.3750433Z Running test_jit 1/1 ... [2025-08-14 21:38:58.374885] 2025-08-14T21:38:58.3751070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:38:58.3754250Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:58.375196] 2025-08-14T21:39:03.5463352Z 2025-08-14T21:39:03.5464422Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_f6e94a4f620d7e9e_.log 2025-08-14T21:39:03.5465098Z Running 0 items in this shard: 2025-08-14T21:39:03.5465286Z 2025-08-14T21:39:03.5467532Z Running nn/test_packed_sequence 1/1 ... [2025-08-14 21:39:03.546561] 2025-08-14T21:39:03.5468369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:03.5471324Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:03.546883] 2025-08-14T21:39:06.8155698Z 2025-08-14T21:39:06.8157155Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_f917560b352b04d7_.log 2025-08-14T21:39:06.8158348Z Running 0 items in this shard: 2025-08-14T21:39:06.8158637Z 2025-08-14T21:39:06.8160915Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-08-14 21:39:06.815890] 2025-08-14T21:39:06.8162507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:06.8165243Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:06.816298] 2025-08-14T21:39:10.0848896Z 2025-08-14T21:39:10.0850185Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_9ac7f1dcbaab1c84_.log 2025-08-14T21:39:10.0851660Z Running 0 items in this shard: 2025-08-14T21:39:10.0851851Z 2025-08-14T21:39:10.0852653Z Running functorch/test_ops 1/6 ... [2025-08-14 21:39:10.085122] 2025-08-14T21:39:10.0853049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:10.0855904Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:10.085399] 2025-08-14T21:39:16.5082024Z 2025-08-14T21:39:16.5083043Z functorch/test_ops 1/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.6_98cb1d289f8cb322_.log 2025-08-14T21:39:16.5083803Z Running 0 items in this shard: 2025-08-14T21:39:16.5083992Z 2025-08-14T21:39:16.5086135Z Running functorch/test_aotdispatch 4/6 ... [2025-08-14 21:39:16.508406] 2025-08-14T21:39:16.5086592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:16.5089065Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:16.508682] 2025-08-14T21:39:21.7801657Z 2025-08-14T21:39:21.7802753Z functorch/test_aotdispatch 4/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_4.6_0b1e5bb09b29d969_.log 2025-08-14T21:39:21.7803605Z Running 0 items in this shard: 2025-08-14T21:39:21.7803793Z 2025-08-14T21:39:21.7805243Z Running test_schema_check 1/1 ... [2025-08-14 21:39:21.780371] 2025-08-14T21:39:21.7805646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:21.7808420Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_schema_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:21.780656] 2025-08-14T21:39:27.0519275Z 2025-08-14T21:39:27.0520102Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_3864d38df9a74dfc_.log 2025-08-14T21:39:27.0520817Z Running 0 items in this shard: 2025-08-14T21:39:27.0521017Z 2025-08-14T21:39:27.0522756Z Running test_datapipe 1/1 ... [2025-08-14 21:39:27.052137] 2025-08-14T21:39:27.0523403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:27.0526122Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_datapipe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:27.052422] 2025-08-14T21:39:30.3711602Z 2025-08-14T21:39:30.3712429Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_df2dc51a385e864e_.log 2025-08-14T21:39:30.3713153Z Running 0 items in this shard: 2025-08-14T21:39:30.3713339Z 2025-08-14T21:39:30.3715299Z Running test_bundled_inputs 1/1 ... [2025-08-14 21:39:30.371382] 2025-08-14T21:39:30.3715707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:30.3718547Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:30.371667] 2025-08-14T21:39:33.6402949Z 2025-08-14T21:39:33.6403820Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_ecb5cd791062f189_.log 2025-08-14T21:39:33.6404570Z Running 0 items in this shard: 2025-08-14T21:39:33.6405023Z 2025-08-14T21:39:33.6406469Z Running profiler/test_execution_trace 1/1 ... [2025-08-14 21:39:33.640484] 2025-08-14T21:39:33.6406938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:33.6409691Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:33.640763] 2025-08-14T21:39:36.9093419Z 2025-08-14T21:39:36.9094599Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_2b5e4291c093952d_.log 2025-08-14T21:39:36.9095505Z Running 0 items in this shard: 2025-08-14T21:39:36.9095691Z 2025-08-14T21:39:36.9097231Z Running lazy/test_generator 1/1 ... [2025-08-14 21:39:36.909560] 2025-08-14T21:39:36.9097633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:36.9100400Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:36.909850] 2025-08-14T21:39:40.1284103Z 2025-08-14T21:39:40.1284971Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_84f72553d89e4044_.log 2025-08-14T21:39:40.1285706Z Running 0 items in this shard: 2025-08-14T21:39:40.1285904Z 2025-08-14T21:39:40.1287530Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-08-14 21:39:40.128606] 2025-08-14T21:39:40.1288022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:40.1290845Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:40.128886] 2025-08-14T21:39:43.4475298Z 2025-08-14T21:39:43.4476555Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_860a4dd786f86f47_.log 2025-08-14T21:39:43.4477478Z Running 0 items in this shard: 2025-08-14T21:39:43.4477677Z 2025-08-14T21:39:43.4478987Z Running test_maskedtensor 1/1 ... [2025-08-14 21:39:43.447750] 2025-08-14T21:39:43.4479390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:43.4482310Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:43.448043] 2025-08-14T21:39:47.8681003Z 2025-08-14T21:39:47.8681834Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_9edae57c172cb68e_.log 2025-08-14T21:39:47.8682574Z Running 0 items in this shard: 2025-08-14T21:39:47.8682775Z 2025-08-14T21:39:47.8684657Z Running test_tensorboard 1/1 ... [2025-08-14 21:39:47.868320] 2025-08-14T21:39:47.8685063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:47.8687887Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorboard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:47.868607] 2025-08-14T21:39:51.5379352Z 2025-08-14T21:39:51.5380193Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_1e906ec5985a49f2_.log 2025-08-14T21:39:51.5380930Z Running 0 items in this shard: 2025-08-14T21:39:51.5381117Z 2025-08-14T21:39:51.5382812Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-08-14 21:39:51.538137] 2025-08-14T21:39:51.5383521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:51.5386562Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:51.538432] 2025-08-14T21:39:54.8070406Z 2025-08-14T21:39:54.8071699Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_6ffbaf877bf2b613_.log 2025-08-14T21:39:54.8072642Z Running 0 items in this shard: 2025-08-14T21:39:54.8072841Z 2025-08-14T21:39:54.8073968Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:39:54.807241] 2025-08-14T21:39:54.8074384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:54.8077309Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:54.807521] 2025-08-14T21:39:59.1777352Z 2025-08-14T21:39:59.1778235Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_0dbaa70366d1a281_.log 2025-08-14T21:39:59.1780100Z Running 0 items in this shard: 2025-08-14T21:39:59.1780374Z 2025-08-14T21:39:59.1780988Z Running test_mkldnn_fusion 1/1 ... [2025-08-14 21:39:59.177942] 2025-08-14T21:39:59.1781449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:39:59.1784238Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:59.178228] 2025-08-14T21:40:02.4469259Z 2025-08-14T21:40:02.4470278Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_fa36178da2fb350b_.log 2025-08-14T21:40:02.4471023Z Running 0 items in this shard: 2025-08-14T21:40:02.4471208Z 2025-08-14T21:40:02.4472951Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-08-14 21:40:02.447127] 2025-08-14T21:40:02.4473424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:02.4476319Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:02.447411] 2025-08-14T21:40:05.7663063Z 2025-08-14T21:40:05.7664093Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_80b2bfb5c31ab5da_.log 2025-08-14T21:40:05.7665025Z Running 0 items in this shard: 2025-08-14T21:40:05.7665212Z 2025-08-14T21:40:05.7667097Z Running test_linalg 1/1 ... [2025-08-14 21:40:05.766555] 2025-08-14T21:40:05.7667485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:05.7670951Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:05.766908] 2025-08-14T21:40:10.1372220Z 2025-08-14T21:40:10.1373034Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_4de22049e4de3f8e_.log 2025-08-14T21:40:10.1374574Z Running 4 items in this shard: test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float64 2025-08-14T21:40:10.1376148Z 2025-08-14T21:40:10.1376358Z Running test_accelerator 1/1 ... [2025-08-14 21:40:10.137426] 2025-08-14T21:40:10.1376763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:10.1379294Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:10.137738] 2025-08-14T21:40:13.2607676Z 2025-08-14T21:40:13.2608761Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_6b6c9dc32a63a6d2_.log 2025-08-14T21:40:13.2609398Z 2025-08-14T21:40:15.7898887Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:15.7900485Z import pkg_resources 2025-08-14T21:40:15.8095018Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:15.8096450Z import pkg_resources 2025-08-14T21:40:15.8218294Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:15.8219711Z import pkg_resources 2025-08-14T21:40:15.9130729Z Running inductor/test_cudagraph_trees 1/1 ... [2025-08-14 21:40:15.912763] 2025-08-14T21:40:15.9131249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:15.9133237Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:15.913099] 2025-08-14T21:40:15.9336786Z Running inductor/test_aot_inductor 1/1 ... [2025-08-14 21:40:15.933360] 2025-08-14T21:40:15.9337256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:15.9339270Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:15.933708] 2025-08-14T21:40:15.9487639Z Running dynamo/test_unspec 1/1 ... [2025-08-14 21:40:15.948475] 2025-08-14T21:40:15.9488063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:15.9490573Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:15.948823] 2025-08-14T21:40:24.4848335Z 2025-08-14T21:40:24.4849622Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_22bb819e27dca7f8_.log 2025-08-14T21:40:24.4850550Z 2025-08-14T21:40:26.2553444Z 2025-08-14T21:40:26.2554422Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_5ada9715b678b79c_.log 2025-08-14T21:40:26.2555138Z 2025-08-14T21:40:27.8135080Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:27.8136785Z import pkg_resources 2025-08-14T21:40:27.9370925Z Running inductor/test_mkldnn_pattern_matcher 1/3 ... [2025-08-14 21:40:27.936765] 2025-08-14T21:40:27.9371439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:27.9373919Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:27.937139] 2025-08-14T21:40:29.5770014Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:29.5772959Z import pkg_resources 2025-08-14T21:40:29.7022613Z Running inductor/test_triton_wrapper 1/1 ... [2025-08-14 21:40:29.701935] 2025-08-14T21:40:29.7023124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:29.7024997Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:29.702266] 2025-08-14T21:40:37.2021851Z 2025-08-14T21:40:37.2023593Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_6497adff5b88b620_.log 2025-08-14T21:40:37.2025000Z 2025-08-14T21:40:40.5845754Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:40.5848681Z import pkg_resources 2025-08-14T21:40:40.7107134Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-08-14 21:40:40.710329] 2025-08-14T21:40:40.7108043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:40.7110366Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:40.710715] 2025-08-14T21:40:48.5168877Z 2025-08-14T21:40:48.5170498Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_e86cfdb3a4efb444_.log 2025-08-14T21:40:48.5171720Z 2025-08-14T21:40:51.9306114Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:40:51.9308894Z import pkg_resources 2025-08-14T21:40:52.0558762Z Running inductor/test_padding 1/1 ... [2025-08-14 21:40:52.055519] 2025-08-14T21:40:52.0559280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:40:52.0560811Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:40:52.055840] 2025-08-14T21:40:59.9374012Z 2025-08-14T21:40:59.9374945Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_ccdecd5a1d550aa6_.log 2025-08-14T21:40:59.9376688Z 2025-08-14T21:41:03.3646305Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:41:03.3647776Z import pkg_resources 2025-08-14T21:41:03.4901397Z Running inductor/test_cpu_select_algorithm 4/15 ... [2025-08-14 21:41:03.489822] 2025-08-14T21:41:03.4901908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:41:03.4904275Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=4', '--num-shards=15', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:41:03.490161] 2025-08-14T21:41:15.1058609Z 2025-08-14T21:41:15.1060424Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_372ec66d9840449e_.log 2025-08-14T21:41:15.1090185Z Running 50 items in this shard: test/dynamo/test_unspec.py::UnspecTests::test_argmin_coerces_symint_to_intlist_spec, test/dynamo/test_unspec.py::UnspecTests::test_bool_tensor_ctor, test/dynamo/test_unspec.py::UnspecTests::test_builtin_getitem, test/dynamo/test_unspec.py::UnspecTests::test_builtin_max_min, test/dynamo/test_unspec.py::UnspecTests::test_compiled_random_calls_are_random, test/dynamo/test_unspec.py::UnspecTests::test_conv1d_symint_padding, test/dynamo/test_unspec.py::UnspecTests::test_data_dependent_evaluate_expr_graph_break, test/dynamo/test_unspec.py::UnspecTests::test_defaults, test/dynamo/test_unspec.py::UnspecTests::test_exponential, test/dynamo/test_unspec.py::UnspecTests::test_feed_random_values_into_graph_only, test/dynamo/test_unspec.py::UnspecTests::test_isinstance_symint, test/dynamo/test_unspec.py::UnspecTests::test_item_max, test/dynamo/test_unspec.py::UnspecTests::test_mark_01_dynamic, test/dynamo/test_unspec.py::UnspecTests::test_mark_static_inside, test/dynamo/test_unspec.py::UnspecTests::test_mark_unbacked, test/dynamo/test_unspec.py::UnspecTests::test_mark_unbacked_channels_last, test/dynamo/test_unspec.py::UnspecTests::test_mark_unbacked_hint_consistency, test/dynamo/test_unspec.py::UnspecTests::test_multiple_consecutive_random_calls_before_graph, test/dynamo/test_unspec.py::UnspecTests::test_no_recompilations, test/dynamo/test_unspec.py::UnspecTests::test_no_recompilations_with_efficient_attention, test/dynamo/test_unspec.py::UnspecTests::test_no_recompiles, test/dynamo/test_unspec.py::UnspecTests::test_no_recompiles_prod_backward, test/dynamo/test_unspec.py::UnspecTests::test_numpy_correctness, test/dynamo/test_unspec.py::UnspecTests::test_propagate_dynamic_dim, test/dynamo/test_unspec.py::UnspecTests::test_prune_torch_check, test/dynamo/test_unspec.py::UnspecTests::test_random_call_with_while_loop, test/dynamo/test_unspec.py::UnspecTests::test_random_object, test/dynamo/test_unspec.py::UnspecTests::test_random_object_methods, test/dynamo/test_unspec.py::UnspecTests::test_random_object_overridden_methods, test/dynamo/test_unspec.py::UnspecTests::test_random_values_with_graph_break, test/dynamo/test_unspec.py::UnspecTests::test_rshift_dynamic, test/dynamo/test_unspec.py::UnspecTests::test_shape_graph_break, test/dynamo/test_unspec.py::UnspecTests::test_specializing_numpy_float_in_control_flow, test/dynamo/test_unspec.py::UnspecTests::test_split_aot_autograd, test/dynamo/test_unspec.py::UnspecTests::test_sum_dimlist_spec, test/dynamo/test_unspec.py::UnspecTests::test_sym_int_conversion, test/dynamo/test_unspec.py::UnspecTests::test_symbol_guard_limit_before_specialize, test/dynamo/test_unspec.py::UnspecTests::test_symfloat_no_replacement, test/dynamo/test_unspec.py::UnspecTests::test_symfloat_to_tensor, test/dynamo/test_unspec.py::UnspecTests::test_tensorfiy_python_scalars_1, test/dynamo/test_unspec.py::UnspecTests::test_tensorfiy_python_scalars_2, test/dynamo/test_unspec.py::UnspecTests::test_tensorfiy_python_scalars_3, test/dynamo/test_unspec.py::UnspecTests::test_to_tensor, test/dynamo/test_unspec.py::UnspecTests::test_unspec_float_input, test/dynamo/test_unspec.py::UnspecTests::test_unspec_float_input_f64, test/dynamo/test_unspec.py::UnspecTests::test_unspec_float_output, test/dynamo/test_unspec.py::UnspecTests::test_unspec_float_precision, test/dynamo/test_unspec.py::UnspecTests::test_unspec_roundtrip_float_input, test/dynamo/test_unspec.py::UnspecTests::test_unspecialized_float_multiply_precision, test/dynamo/test_unspec.py::UnspecTests::test_use_and_specialize 2025-08-14T21:41:15.1119118Z 2025-08-14T21:41:18.6164468Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:41:18.6166196Z import pkg_resources 2025-08-14T21:41:18.7440223Z Running inductor/test_cpu_select_algorithm 7/15 ... [2025-08-14 21:41:18.743698] 2025-08-14T21:41:18.7440715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:41:18.7443074Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=7', '--num-shards=15', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:41:18.744071] 2025-08-14T21:46:46.7884282Z 2025-08-14T21:46:46.7885430Z inductor/test_mkldnn_pattern_matcher 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.3_1e59cf4541e89d22_.log 2025-08-14T21:46:46.7936435Z Running 89 items in this shard: test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_conv2d_add_scalar, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_conv2d_binary_fusion_failed, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_add_bias, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_input_non_contiguous_3D_wo_bias, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qat_qconv2d_hardswish, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qat_qconv2d_relu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qcat, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_broadcast_shapes_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_dequant_promotion_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardswish_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardtanh_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu6_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_silu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_silu_int8_mixed_bf16_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_with_concat_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qflatten, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_fp8_inductor_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_False_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_True_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_dynamic_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2_and_not_contiguous, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_mul_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_113440_issue_1, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_113440_issue_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_99842_issue, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_True_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_True_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcherGenericCPU::test_conv3d_binary_broadcast_shapes_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcherGenericCPU::test_conv_transpose2d_unary_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestDynamicPatternMatcherGenericCPU::test_conv3d_binary_dynamic_shapes_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestDynamicPatternMatcherGenericCPU::test_conv3d_unary_dynamic_shapes_cpu 2025-08-14T21:46:46.7987161Z 2025-08-14T21:46:50.1101549Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:46:50.1103029Z import pkg_resources 2025-08-14T21:46:50.2351888Z Running inductor/test_cpu_select_algorithm 9/15 ... [2025-08-14 21:46:50.234889] 2025-08-14T21:46:50.2353814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:46:50.2356093Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=9', '--num-shards=15', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:46:50.235243] 2025-08-14T21:49:43.1490625Z 2025-08-14T21:49:43.1493537Z inductor/test_cpu_select_algorithm 4/15 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_4.15_c6f337ec3768e080_.log 2025-08-14T21:49:43.1569386Z Running 103 items in this shard: test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order2_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_64_order3_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_amx_bs_2_Mdim_16_Kdim_32_Ndim_128_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_amx_bs_2_Mdim_32_Kdim_32_Ndim_48_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_reshape_a_True_expand_a_scale_True_dynamic_False_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_False_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_False_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_True_reshape_a_True_expand_a_scale_True_dynamic_True_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_False_reshape_a_False_expand_a_scale_False_dynamic_False_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_True_reshape_a_True_expand_a_scale_True_dynamic_True_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue0_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue4_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias3_epilogue1_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias3_epilogue4_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_invalid_batch_size_16_in_features_52_out_features_32_gemm_num_2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_Nc_larger_than_one_batch_size_64_in_features_14336_out_features_96_group_size_128_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_batch_size_1_in_features_1024_out_features_1024_group_size_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_batch_size_1_in_features_1024_out_features_128_group_size_128_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_batch_size_4_in_features_1024_out_features_128_group_size_128_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_batch_size_4_in_features_128_out_features_128_group_size_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_batch_size_6_in_features_1024_out_features_1024_group_size_128_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_17_mid_dim_1_in_features_1024_out_features_65_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_17_mid_dim_8_in_features_1024_out_features_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_17_mid_dim_8_in_features_144_out_features_1024_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_32_mid_dim_1_in_features_1024_out_features_65_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_32_mid_dim_8_in_features_128_out_features_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_cache_blocking_batch_size_512_in_features_1024_out_features_1024_bias_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1024_bias_False_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1_bias_True_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_indirect_indexing_batch_size_2_in_features_16_seq_lens_128_out_features_32_bias_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_div_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardtanh_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_sigmoid_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_div_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardsigmoid_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_128_bias_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_3_in_features_4_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_3_in_features_4_out_features_65_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_3_in_features_68_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_int8_mixed_bf16_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_bmm_with_pointwise_with_reshape_dynamic_shapes_bs_5_Mdim_384_Kdim_96_Ndim_64_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias0_epilogue1_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias3_epilogue1_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_cache_blocking_dynamic_shapes_batch_size_512_in_features_1024_out_features_1024_bias_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1024_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_True_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sigmoid_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_tanh_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_unary_relu_binary_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_16_in_features_128_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_32_in_features_4_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_4_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_49_in_features_4_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_int8_mixed_bf16_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_int8_mixed_bf16_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_int8_mixed_bf16_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_int8_mixed_bf16_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_epilogue_relu_cpu_float32 2025-08-14T21:49:43.1644621Z 2025-08-14T21:49:46.5866902Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:49:46.5868351Z import pkg_resources 2025-08-14T21:49:46.7144837Z Running inductor/test_triton_syntax 1/1 ... [2025-08-14 21:49:46.714122] 2025-08-14T21:49:46.7145745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:49:46.7149034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:49:46.714554] 2025-08-14T21:49:54.3416763Z 2025-08-14T21:49:54.3418423Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_9fce69d4a159f4e3_.log 2025-08-14T21:49:54.3419759Z 2025-08-14T21:49:58.0178481Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:49:58.0181518Z import pkg_resources 2025-08-14T21:49:58.2030434Z Running inductor/test_triton_extension_backend 1/1 ... [2025-08-14 21:49:58.202702] 2025-08-14T21:49:58.2030952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:49:58.2032834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:49:58.203043] 2025-08-14T21:50:06.3042931Z 2025-08-14T21:50:06.3046965Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_e2823c93b014e065_.log 2025-08-14T21:50:06.3048994Z Running 0 items in this shard: 2025-08-14T21:50:06.3049385Z 2025-08-14T21:50:09.8199503Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:50:09.8202275Z import pkg_resources 2025-08-14T21:50:09.9456837Z Running inductor/test_memory_planning 1/1 ... [2025-08-14 21:50:09.945302] 2025-08-14T21:50:09.9457694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:50:09.9459686Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:50:09.945648] 2025-08-14T21:50:17.8002477Z 2025-08-14T21:50:17.8003889Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_605717d50d493e47_.log 2025-08-14T21:50:17.8004638Z 2025-08-14T21:50:21.2452639Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:50:21.2455550Z import pkg_resources 2025-08-14T21:50:21.3754142Z Running inductor/test_cpu_cpp_wrapper 2/8 ... [2025-08-14 21:50:21.375081] 2025-08-14T21:50:21.3754595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:50:21.3756787Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=2', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:50:21.375414] 2025-08-14T21:50:57.8461611Z 2025-08-14T21:50:57.8463001Z inductor/test_cpu_select_algorithm 7/15 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_7.15_92a64920e18ebdc1_.log 2025-08-14T21:50:57.8545071Z Running 106 items in this shard: test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order0_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_64_order4_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_amx_bs_2_Mdim_16_Kdim_32_Ndim_3_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_fused_epilogues_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_sub_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_mul_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_reshape_a_False_expand_a_scale_False_dynamic_False_M_1_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_reshape_a_True_expand_a_scale_True_dynamic_False_M_1_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_False_reshape_a_True_expand_a_scale_False_dynamic_False_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_True_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_True_reshape_a_True_expand_a_scale_False_dynamic_True_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_False_M_1_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_False_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_True_M_1_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_False_reshape_a_False_expand_a_scale_True_dynamic_True_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_False_reshape_a_True_expand_a_scale_False_dynamic_True_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_True_reshape_a_False_expand_a_scale_True_dynamic_True_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_True_reshape_a_True_expand_a_scale_False_dynamic_True_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias2_epilogue1_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_concat_woq_mm_batch_size_4_in_features_256_out_features1_group_size_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_avx512_batch_size_1_in_features_256_out_features_64_group_size_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_17_mid_dim_8_in_features_1024_out_features_1024_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_amx_batch_size_1024_in_features_1024_out_features_1025_bias_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1000_out_features_1_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1_out_features_1_bias_True_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_unsupported_epilogue_fusion_batch_size_8_in_features_128_size_0_4_size_1_14_out_features_512_out_features_conv_256_bias_False_epilogue_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_binary_input_3d_batch_size_384_in_features_196_out_features_384_bias_False_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_multiple_reindexers_batch_size_8_in_features_128_in_features_2_196_out_features_256_bias_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_gelu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardsigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sub_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardswish_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardtanh_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardsigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_tanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_False_unary_relu_binary_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_local_and_global_accumulator_out_features1_24_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_16_in_features_128_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_32_in_features_128_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue3_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue3_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue4_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_True_bias2_epilogue2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_cache_blocking_dynamic_shapes_batch_size_512_in_features_1024_out_features_1024_bias_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1000_out_features_1_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1_out_features_1_bias_True_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_leaky_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_mul_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_unary_relu_binary_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_128_out_features_65_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_4_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_68_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_49_in_features_68_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_int8_mixed_bf16_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_epilogue_none_cpu_float32 2025-08-14T21:50:57.8624175Z 2025-08-14T21:51:01.2665213Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:51:01.2666804Z import pkg_resources 2025-08-14T21:51:01.3915394Z Running inductor/test_cpu_cpp_wrapper 3/8 ... [2025-08-14 21:51:01.391206] 2025-08-14T21:51:01.3915947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:51:01.3919741Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:51:01.391605] 2025-08-14T21:56:50.2089077Z 2025-08-14T21:56:50.2090988Z inductor/test_cpu_select_algorithm 9/15 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_9.15_17b5d35fc3bb7bb7_.log 2025-08-14T21:56:50.2234705Z Running 112 items in this shard: test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_aoti_linear_multi_view_operations_batch_size_16_in_features_128_out_features_64_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order0_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order3_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_2d_permute_Ndim_61_order3_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_amx_bs_2_Mdim_16_Kdim_32_Ndim_1024_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_amx_bs_2_Mdim_16_Kdim_32_Ndim_3_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_bs_1_Mdim_192_Kdim_196_Ndim_385_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_bs_50_Mdim_192_Kdim_196_Ndim_84_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_flexible_layout_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_freezing_bs_1_Mdim_192_Kdim_196_Ndim_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_freezing_bs_1_Mdim_192_Kdim_196_Ndim_64_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_freezing_bs_1_Mdim_192_Kdim_196_Ndim_65_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_64_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_bmm_with_pointwise_bs_5_Mdim_384_Kdim_96_Ndim_65_epilogue_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_reshape_a_False_expand_a_scale_True_dynamic_False_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_reshape_a_True_expand_a_scale_True_dynamic_True_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_reshape_a_False_expand_a_scale_False_dynamic_False_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_per_channel_quant_False_reshape_a_False_expand_a_scale_True_dynamic_False_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_reshape_a_False_expand_a_scale_True_dynamic_False_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_reshape_a_False_expand_a_scale_True_dynamic_True_M_32_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_False_reshape_a_False_expand_a_scale_True_dynamic_False_M_1_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_False_reshape_a_True_expand_a_scale_True_dynamic_True_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_per_channel_quant_True_reshape_a_True_expand_a_scale_False_dynamic_True_M_32_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias0_epilogue2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue1_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias1_epilogue1_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_concat_woq_mm_batch_size_4_in_features_256_out_features0_group_size_128_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int4_woq_mm_amx_batch_size_4_in_features_128_out_features_1024_group_size_128_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_17_mid_dim_1_in_features_128_out_features_65_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_1_mid_dim_1_in_features_144_out_features_1024_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_int8_woq_mm_batch_size_32_mid_dim_8_in_features_128_out_features_65_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_cache_blocking_batch_size_512_in_features_1024_out_features_1024_bias_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1000_out_features_1024_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_1_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1000_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_static_shapes_batch_size_2_in_features_1_out_features_1_bias_True_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_to_lowp_fp_batch_size_2_in_features_128_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_permute_batch_size_1_in_features_16_image_size_18_out_features_32_bias_True_has_non_epilogue_users_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_gelu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardswish_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_mul_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_silu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_add_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_div_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardtanh_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_transpose_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_linear_with_unary_binary_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_16_in_features_128_out_features_64_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_16_in_features_68_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_amx_batch_size_32_in_features_68_out_features_65_bias_False_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_True_int8_mixed_bf16_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_int8_mixed_bf16_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_int8_mixed_bf16_False_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_int8_mixed_bf16_False_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_int8_mixed_bf16_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmCPU::test_quantized_linear_with_pointwise_binary_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_False_int8_mixed_bf16_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_bmm_with_pointwise_dynamic_shapes_bs_5_Mdim_384_Kdim_96_Ndim_64_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue0_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue0_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_True_bias1_epilogue2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_True_bias3_epilogue2_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_grouped_linear_epilogue_dynamic_shapes_batch_size_16_in_features_52_out_features_32_input_3d_True_bias3_epilogue3_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1000_out_features_1_bias_True_input_3d_False_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_False_input_3d_False_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1024_bias_True_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1000_in_features_1_out_features_1_bias_True_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_1_in_features_1_out_features_1024_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1024_bias_False_input_3d_True_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1_bias_False_input_3d_False_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1000_out_features_1_bias_True_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1024_bias_True_input_3d_True_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_dynamic_shapes_batch_size_2_in_features_1_out_features_1_bias_False_input_3d_True_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_k_slicing_dynamic_shapes_batch_size_2_in_features_1000_out_features_2_bias_False_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_div_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardswish_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_pointwise_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_128_bias_True_epilogue_add_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_transpose_dynamic_shapes_batch_size_384_in_features_196_out_features_129_bias_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_384_bias_True_unary_relu_binary_sub_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_unary_relu_binary_add_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_False_unary_relu_binary_sub_cpu_float16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_linear_with_unary_binary_dynamic_shapes_batch_size_384_in_features_196_out_features_385_bias_True_unary_relu_binary_sub_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_32_in_features_68_out_features_65_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_amx_dynamic_shapes_batch_size_3_in_features_128_out_features_64_bias_True_cpu, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_int8_mixed_bf16_True_epilogue_relu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_True_input_3d_False_int8_mixed_bf16_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_binary_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_True_input_3d_True_int8_mixed_bf16_True_epilogue_relu_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_False_epilogue_gelu_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_64_bias_False_input_3d_True_epilogue_none_cpu_bfloat16, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_False_epilogue_none_cpu_float32, test/inductor/test_cpu_select_algorithm.py::TestSelectAlgorithmDynamicShapesCPU::test_quantized_linear_with_pointwise_dynamic_shapes_batch_size_32_in_features_128_out_features_65_bias_False_input_3d_True_epilogue_relu_cpu_bfloat16 2025-08-14T21:56:50.2430415Z 2025-08-14T21:56:50.7082478Z Uploading artifacts took 0.50 seconds 2025-08-14T21:56:53.5592207Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:56:53.5595800Z import pkg_resources 2025-08-14T21:56:53.7000110Z Running inductor/test_cpu_cpp_wrapper 6/8 ... [2025-08-14 21:56:53.699553] 2025-08-14T21:56:53.7002600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:56:53.7005278Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:56:53.699943] 2025-08-14T21:59:55.3619406Z 2025-08-14T21:59:55.3621116Z inductor/test_cpu_cpp_wrapper 2/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_2.8_f5f0c9b15d94e90a_.log 2025-08-14T21:59:55.3671494Z Running 79 items in this shard: test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_add_complex_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_bitwise_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_bmm1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv_transpose2d_packed_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_custom_op_2_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_custom_op_3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue4_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias3_epilogue4_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias1_epilogue2_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_gelu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_relu_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sigmoid_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_silu_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_tanh_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_div_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardtanh_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardtanh_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_mul_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_tanh_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardsigmoid_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sub_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_add_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardsigmoid_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardswish_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardswish_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_mm_views_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_True_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_True_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_xpu_use_relu_True_is_qat_False_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_dequant_promotion_cpu_input_dim_exceeds_2_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_gelu_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_mul_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_mul_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_relu_input_dim_exceeds_2_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_relu_int8_mixed_bf16_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_randint_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_transpose_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_as_strided_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_bernoulli1_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue1_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue2_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue1_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias3_epilogue0_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_int_div_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_packed_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_gelu_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardswish_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_sub_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sub_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_tanh_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_add_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_div_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_div_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_gelu_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardsigmoid_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_silu_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sub_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_max_pool2d6_dilation_1_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_multihead_attention_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qconv2d_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_True_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_dequant_promotion_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_relu_int8_mixed_bf16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_relu_int8_mixed_bf16_input_dim_exceeds_2_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_relu_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_silu_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_view_as_complex_cpu_dynamic_shapes_cpp_wrapper 2025-08-14T21:59:55.3720492Z 2025-08-14T21:59:58.8367907Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T21:59:58.8370796Z import pkg_resources 2025-08-14T21:59:58.9616328Z Running inductor/test_cudacodecache 1/1 ... [2025-08-14 21:59:58.961326] 2025-08-14T21:59:58.9616863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T21:59:58.9619084Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:59:58.961672] 2025-08-14T22:00:06.3625384Z 2025-08-14T22:00:06.3627124Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_ff5969e42f6cbb62_.log 2025-08-14T22:00:06.3628327Z 2025-08-14T22:00:09.8110988Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:00:09.8112499Z import pkg_resources 2025-08-14T22:00:09.9375043Z Running inductor/test_quantization 1/1 ... [2025-08-14 22:00:09.937104] 2025-08-14T22:00:09.9375541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:00:09.9377365Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:00:09.937452] 2025-08-14T22:00:17.3290649Z 2025-08-14T22:00:17.3291781Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_066102efff681ce6_.log 2025-08-14T22:00:17.3292507Z 2025-08-14T22:00:20.7359990Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:00:20.7362667Z import pkg_resources 2025-08-14T22:00:20.8625979Z Running inductor/test_fxir_backend 1/1 ... [2025-08-14 22:00:20.862216] 2025-08-14T22:00:20.8626849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:00:20.8629383Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:00:20.862593] 2025-08-14T22:00:28.3781798Z 2025-08-14T22:00:28.3782712Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_16114329256eb789_.log 2025-08-14T22:00:28.3783438Z 2025-08-14T22:00:31.8781674Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:00:31.8783166Z import pkg_resources 2025-08-14T22:00:32.0025374Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-08-14 22:00:32.002166] 2025-08-14T22:00:32.0027098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:00:32.0028382Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:00:32.002494] 2025-08-14T22:00:35.6269078Z 2025-08-14T22:00:35.6270319Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_84bfe91d7cc323cc_.log 2025-08-14T22:00:35.6271380Z 2025-08-14T22:00:39.1615890Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:00:39.1618774Z import pkg_resources 2025-08-14T22:00:39.3247119Z Running test_quantization 4/4 ... [2025-08-14 22:00:39.324378] 2025-08-14T22:00:39.3247544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:00:39.3249430Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:00:39.324721] 2025-08-14T22:01:54.4325801Z 2025-08-14T22:01:54.4327654Z inductor/test_cpu_cpp_wrapper 3/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_3.8_d92b22a2329cb748_.log 2025-08-14T22:01:54.4462149Z Running 98 items in this shard: test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_adding_tensor_offsets_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_cat_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias0_epilogue1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue2_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias2_epilogue3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias3_epilogue1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue0_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias1_epilogue4_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_add_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardtanh_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardtanh_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_tanh_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_add_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_div_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_div_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_gelu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardsigmoid_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardswish_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_sub_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardswish_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_mul_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_mul_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_relu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_silu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sub_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardtanh_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sub_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_lstm_packed_change_input_sizes_cpu_unbatched_False_input_size_2_hidden_size_5_num_layers_3_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_2_seq_len_3_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qconv2d_dequant_promotion_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qconv2d_maxpool2d_linear_dynamic_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_True_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_True_is_qat_False_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_input_dim_exceeds_2_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_input_dim_exceeds_2_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2_and_not_contiguous_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_int8_mixed_bf16_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_relu_input_dim_exceeds_2_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_reduction1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_relu_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_repeat_interleave_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_scatter1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_scatter5_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_scatter6_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_silu_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_sum_dtype_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_add_complex4_cpu_separate_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_conv2d_binary_inplace_fusion_pass_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_dynamic_qlinear_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_dynamic_qlinear_qat_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_batch_size_16_in_features_52_out_features_32_input_3d_True_gemm_num_3_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias0_epilogue2_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue4_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias1_epilogue1_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias1_epilogue2_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias2_epilogue4_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_int8_weight_only_quant_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardswish_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardtanh_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_silu_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sub_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_div_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_hardtanh_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_mul_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_silu_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_tanh_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_add_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_add_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardsigmoid_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_hardswish_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_mul_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_add_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_mul_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_relu_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qconv2d_add_relu_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qconv2d_maxpool2d_linear_dynamic_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_False_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_True_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_False_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_True_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_True_is_qat_False_is_dynamic_False_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_gelu_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_gelu_int8_mixed_bf16_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_input_dim_exceeds_2_and_not_contiguous_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2_and_not_contiguous_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_int8_mixed_bf16_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_mul_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_mul_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_scalar_input_cpu_dynamic_shapes_cpp_wrapper 2025-08-14T22:01:54.4591284Z 2025-08-14T22:01:58.5502713Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:01:58.5505615Z import pkg_resources 2025-08-14T22:01:58.7537521Z Running test_dynamic_shapes 1/1 ... [2025-08-14 22:01:58.753217] 2025-08-14T22:01:58.7538787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:01:58.7541034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:01:58.753716] 2025-08-14T22:02:52.1838733Z 2025-08-14T22:02:52.1839755Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_0e1b313ca5e0811c_.log 2025-08-14T22:02:52.1964154Z Running 331 items in this shard: test/test_dynamic_shapes.py::TestPySymInt::test_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_aten_ops, test/test_dynamic_shapes.py::TestPySymInt::test_avoid_unbacked_substitution, test/test_dynamic_shapes.py::TestPySymInt::test_backed_size_oblivious_01_spec, test/test_dynamic_shapes.py::TestPySymInt::test_baddbmm_symint, test/test_dynamic_shapes.py::TestPySymInt::test_binary, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard_propagate_real_tensors, test/test_dynamic_shapes.py::TestPySymInt::test_debug_has_internal_overlap_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_deepcopy, test/test_dynamic_shapes.py::TestPySymInt::test_duck_shape, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_simplification, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_unified_with_non_ephemeral_source, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_basic, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_double_digits, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_prefer_later, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_with_s0, test/test_dynamic_shapes.py::TestPySymInt::test_floor_clean_div_axioms, test/test_dynamic_shapes.py::TestPySymInt::test_floordiv_static, test/test_dynamic_shapes.py::TestPySymInt::test_fx_trace_intlist, test/test_dynamic_shapes.py::TestPySymInt::test_guard_int, test/test_dynamic_shapes.py::TestPySymInt::test_guard_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_int_bool, test/test_dynamic_shapes.py::TestPySymInt::test_int_conversion, test/test_dynamic_shapes.py::TestPySymInt::test_int_to_float, test/test_dynamic_shapes.py::TestPySymInt::test_max_of_unique_summation_opt, test/test_dynamic_shapes.py::TestPySymInt::test_meta_symint, test/test_dynamic_shapes.py::TestPySymInt::test_mul_int_oo_nan, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_numel, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_max, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_min, test/test_dynamic_shapes.py::TestPySymInt::test_prefer_deferred_runtime_assertions_over_guards, test/test_dynamic_shapes.py::TestPySymInt::test_print_readable_with_symints, test/test_dynamic_shapes.py::TestPySymInt::test_reverse_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_roundtrip, test/test_dynamic_shapes.py::TestPySymInt::test_size_expressions, test/test_dynamic_shapes.py::TestPySymInt::test_specialize_zero_one, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_false, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_true, test/test_dynamic_shapes.py::TestPySymInt::test_stride, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ceil, test/test_dynamic_shapes.py::TestPySymInt::test_sym_floor, test/test_dynamic_shapes.py::TestPySymInt::test_sym_int, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_sym_log2, test/test_dynamic_shapes.py::TestPySymInt::test_sym_max_multi_max_simplify, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sqrt, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sum, test/test_dynamic_shapes.py::TestPySymInt::test_sym_trunc, test/test_dynamic_shapes.py::TestPySymInt::test_symint_args, test/test_dynamic_shapes.py::TestPySymInt::test_symint_as_scalar, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_and, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_or, test/test_dynamic_shapes.py::TestPySymInt::test_symint_vargs, test/test_dynamic_shapes.py::TestPySymInt::test_sympify_symint, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add_binary_search, test/test_dynamic_shapes.py::TestPySymInt::test_tensor_factory_with_symint, test/test_dynamic_shapes.py::TestPySymInt::test_tracing_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_unbacked_substitution, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_abs, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_add, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ceil, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_eq, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_pow, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_floor, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ge, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_gt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_floordiv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_is_integer, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_le, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mod, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mul, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ne, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_neg, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pow_by_natural, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_round, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_rshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sub, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_acos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_asin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_atan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cosh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_ite, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_log2, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_max, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_min, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_not, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sinh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sqrt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tanh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_trunc, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_non_symbolic_symnode, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_stride_symnode, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symint_deepcopy, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symint_hashing, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symnode_hashing, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_assumptions, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_div_by_one, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_float_int, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_simplify, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_congruences_simple, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_inequalities_error, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_inequalities_simple, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_solve_full, test/test_dynamic_shapes.py::TestDimConstraints::test_simplify_max_1_0, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guard_or_false, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guard_or_true, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_float_div, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_float_print, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_gt_lt, test/test_dynamic_shapes.py::TestGuardsExpressions::test_remove_symbols_without_guarding, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_neq_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_neq_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_eq_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_eq_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_or_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_or_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_with_unbacked_input_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_with_unbacked_input_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_has_free_symbols, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert1_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert1_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert2_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert2_backend_inductor, test/test_dynamic_shapes.py::TestUbackedOps::test_invalid_view_unbacked_view, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_contiguous, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_non_contigious_reshape_failing, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape1, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_with_check, test/test_dynamic_shapes.py::TestUbackedOps::test_unbind_not_dynamic 2025-08-14T22:02:52.2086068Z 2025-08-14T22:02:55.4608707Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:02:55.4610199Z import pkg_resources 2025-08-14T22:02:55.5856098Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-08-14 22:02:55.585291] 2025-08-14T22:02:55.5856605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:02:55.5858376Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:02:55.585626] 2025-08-14T22:03:58.5554075Z 2025-08-14T22:03:58.5555859Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_0be4cc6c6a096adb_.log 2025-08-14T22:03:58.5583254Z Running 66 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_aot_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_multiple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_auto_functionalize, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_autograd_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_errors_under_training, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_works_under_no_grad, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_bwd_partitioning, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_complex, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_const_tensor, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dedupe, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_strides_in_backward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_symint, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_differing_strides_for_grad_outs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_div, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph_inference, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dynamic, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fail_with_direct_invoke_subgraph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fake_tensor_checking, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema_with_buffer_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_input_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_inference_mode, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times_fake_tensor_cahche_hit, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_kwargs_only, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_list, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_mod_attr_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_forward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_update, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_normalize_gm, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_output_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_output_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_redundant_compile_region, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none_from_fwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_symint_from_fwd_to_bwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_triton_kernel_native, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_tuple_of_tuple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked_symbol, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_view_to_reshape, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::NegativeTesting::test_graph_break 2025-08-14T22:03:58.5609793Z 2025-08-14T22:04:01.8494848Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:01.8496368Z import pkg_resources 2025-08-14T22:04:01.9745273Z Running test_package 1/1 ... [2025-08-14 22:04:01.974214] 2025-08-14T22:04:01.9745803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:01.9747870Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:01.974548] 2025-08-14T22:04:07.6994273Z 2025-08-14T22:04:07.6995757Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_26499c6012b811e3_.log 2025-08-14T22:04:07.7066947Z Running 137 items in this shard: test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestDependencyAPI::test_allow_empty_with_error, test/test_package.py::TestDependencyAPI::test_broken_dependency, test/test_package.py::TestDependencyAPI::test_deny, test/test_package.py::TestDependencyAPI::test_deny_glob, test/test_package.py::TestDependencyAPI::test_extern, test/test_package.py::TestDependencyAPI::test_extern_glob, test/test_package.py::TestDependencyAPI::test_extern_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_externing_c_extension, test/test_package.py::TestDependencyAPI::test_implicit_intern, test/test_package.py::TestDependencyAPI::test_intern_error, test/test_package.py::TestDependencyAPI::test_invalid_import, test/test_package.py::TestDependencyAPI::test_mock, test/test_package.py::TestDependencyAPI::test_mock_glob, test/test_package.py::TestDependencyAPI::test_mock_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_pickle_mocked, test/test_package.py::TestDependencyAPI::test_pickle_mocked_all, test/test_package.py::TestDependencyAPI::test_repackage_mocked_module, test/test_package.py::TestDependencyHooks::test_extern_and_mock_hook, test/test_package.py::TestDependencyHooks::test_multiple_extern_hooks, test/test_package.py::TestDependencyHooks::test_multiple_mock_hooks, test/test_package.py::TestDependencyHooks::test_remove_hooks, test/test_package.py::TestDependencyHooks::test_single_hook, test/test_package.py::TestDiGraph::test_all_paths, test/test_package.py::TestDiGraph::test_contains, test/test_package.py::TestDiGraph::test_contains_non_hashable, test/test_package.py::TestDiGraph::test_edges, test/test_package.py::TestDiGraph::test_forward_closure, test/test_package.py::TestDiGraph::test_iter, test/test_package.py::TestDiGraph::test_node_attr_update, test/test_package.py::TestDiGraph::test_node_attrs, test/test_package.py::TestDiGraph::test_predecessor_not_in_graph, test/test_package.py::TestDiGraph::test_predecessors, test/test_package.py::TestDiGraph::test_successor_not_in_graph, test/test_package.py::TestDiGraph::test_successors, test/test_package.py::DirectoryReaderTest::test_importer_access, test/test_package.py::DirectoryReaderTest::test_loading_has_record, test/test_package.py::DirectoryReaderTest::test_loading_module, test/test_package.py::DirectoryReaderTest::test_loading_pickle, test/test_package.py::DirectoryReaderTest::test_package_resource_access, test/test_package.py::DirectoryReaderTest::test_resource_access_by_path, test/test_package.py::DirectoryReaderTest::test_resource_reader, test/test_package.py::DirectoryReaderTest::test_scriptobject_failure_message, test/test_package.py::TestGlobGroup::test_exclude, test/test_package.py::TestGlobGroup::test_exclude_from_all, test/test_package.py::TestGlobGroup::test_invalid_raw, test/test_package.py::TestGlobGroup::test_list_include_exclude, test/test_package.py::TestGlobGroup::test_one_star, test/test_package.py::TestGlobGroup::test_one_star_middle, test/test_package.py::TestGlobGroup::test_one_star_multiple_in_component, test/test_package.py::TestGlobGroup::test_one_star_partial, test/test_package.py::TestGlobGroup::test_one_star_partial_extension, test/test_package.py::TestGlobGroup::test_raw_two_star, test/test_package.py::TestGlobGroup::test_two_star, test/test_package.py::TestGlobGroup::test_two_star_end, test/test_package.py::TestGlobGroup::test_two_star_middle, test/test_package.py::TestGlobGroup::test_two_star_multiple, test/test_package.py::TestImporter::test_ordered_importer_basic, test/test_package.py::TestImporter::test_ordered_importer_whichmodule, test/test_package.py::TestImporter::test_package_importer_whichmodule_no_dunder_module, test/test_package.py::TestImporter::test_single_ordered_importer, test/test_package.py::TestImporter::test_sys_importer, test/test_package.py::TestImporter::test_sys_importer_roundtrip, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_fx_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_nn_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_torchscript_module, test/test_package.py::TestMangling::test_demangle_base, test/test_package.py::TestMangling::test_demangler_multiple_manglers, test/test_package.py::TestMangling::test_is_mangled, test/test_package.py::TestMangling::test_mangle_empty_errors, test/test_package.py::TestMangling::test_mangle_prefix, test/test_package.py::TestMangling::test_mangler_is_consistent, test/test_package.py::TestMangling::test_package_mangler, test/test_package.py::TestMangling::test_roundtrip_mangling, test/test_package.py::TestMangling::test_unique_manglers, test/test_package.py::TestMangling::test_unique_module_names, test/test_package.py::TestMisc::test_dunder_package_present, test/test_package.py::TestMisc::test_dunder_package_works_from_package, test/test_package.py::TestMisc::test_exporter_content_lists, test/test_package.py::TestMisc::test_file_structure, test/test_package.py::TestMisc::test_file_structure_has_file, test/test_package.py::TestMisc::test_inspect_class, test/test_package.py::TestMisc::test_is_from_package, test/test_package.py::TestMisc::test_load_python_version_from_package, test/test_package.py::TestMisc::test_loaders_that_remap_files_work_ok, test/test_package.py::TestMisc::test_python_version, test/test_package.py::TestMisc::test_std_lib_sys_hackery_checks, test/test_package.py::ModelTest::test_model_save, test/test_package.py::ModelTest::test_resnet, test/test_package.py::ModelTest::test_script_resnet, test/test_package.py::TestPackageFX::test_package_fx_custom_tracer, test/test_package.py::TestPackageFX::test_package_fx_package, test/test_package.py::TestPackageFX::test_package_fx_simple, test/test_package.py::TestPackageFX::test_package_fx_with_imports, test/test_package.py::TestPackageFX::test_package_fx_wrap, test/test_package.py::TestPackageFX::test_package_gm_preserve_stack_trace, test/test_package.py::TestPackageFX::test_package_then_fx, test/test_package.py::TestPackageScript::test_different_package_interface, test/test_package.py::TestPackageScript::test_different_package_script_class, test/test_package.py::TestPackageScript::test_load_shared_scriptmodules, test/test_package.py::TestPackageScript::test_load_shared_tensors, test/test_package.py::TestPackageScript::test_load_shared_tensors_repackaged, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules_shared_code, test/test_package.py::TestPackageScript::test_package_interface, test/test_package.py::TestPackageScript::test_package_script_class, test/test_package.py::TestPackageScript::test_package_script_class_referencing_self, test/test_package.py::TestPackageScript::test_save_eager_mods_sharing_scriptmodule, test/test_package.py::TestPackageScript::test_save_independent_scriptmodules, test/test_package.py::TestPackageScript::test_save_repeat_scriptmodules, test/test_package.py::TestPackageScript::test_save_scriptmodule, test/test_package.py::TestPackageScript::test_save_scriptmodule_file, test/test_package.py::TestPackageScript::test_save_scriptmodule_only_necessary_code, test/test_package.py::TestPackageScript::test_save_scriptmodule_with_submods, test/test_package.py::TestPackageScript::test_save_scriptmodules_in_container, test/test_package.py::TestPackageScript::test_save_scriptmodules_submod_redefinition, test/test_package.py::TestPackageScript::test_save_shared_tensors, test/test_package.py::TestPackageScript::test_saving_and_scripting_packaged_mod, test/test_package.py::TestPackageScript::test_scriptmodules_repeat_save, test/test_package.py::TestPackageScript::test_tensor_sharing_pickle, test/test_package.py::TestRepackage::test_repackage_import_indirectly_via_parent_module, test/test_package.py::TestResources::test_importer_access, test/test_package.py::TestResources::test_package_resource_access, test/test_package.py::TestResources::test_resource_access_by_path, test/test_package.py::TestResources::test_resource_reader, test/test_package.py::TestSaveLoad::test_bad_dunder_imports, test/test_package.py::TestSaveLoad::test_dunder_imports, test/test_package.py::TestSaveLoad::test_exporting_mismatched_code, test/test_package.py::TestSaveLoad::test_pickle, test/test_package.py::TestSaveLoad::test_pickle_long_name_with_protocol_4, test/test_package.py::TestSaveLoad::test_save_imported_module, test/test_package.py::TestSaveLoad::test_save_imported_module_using_package_importer, test/test_package.py::TestSaveLoad::test_save_load_fp8, test/test_package.py::TestSaveLoad::test_save_module, test/test_package.py::TestSaveLoad::test_save_module_binary, test/test_package.py::TestSaveLoad::test_saving_source, test/test_package.py::TestSaveLoad::test_saving_string 2025-08-14T22:04:07.7137308Z 2025-08-14T22:04:10.9994822Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:10.9996300Z import pkg_resources 2025-08-14T22:04:11.1238357Z Running test_hop_infra 1/1 ... [2025-08-14 22:04:11.123497] 2025-08-14T22:04:11.1238773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:11.1241192Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hop_infra.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:11.123882] 2025-08-14T22:04:15.1441646Z 2025-08-14T22:04:15.1442567Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_f4771e3d5d9f74fa_.log 2025-08-14T22:04:15.1444077Z Running 3 items in this shard: test/test_hop_infra.py::TestHOPInfra::test_all_hops_are_imported, test/test_hop_infra.py::TestHOPInfra::test_all_hops_have_opinfo, test/test_hop_infra.py::TestHOPInfra::test_imports_from_all_work 2025-08-14T22:04:15.1445134Z 2025-08-14T22:04:18.5471244Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:18.5472986Z import pkg_resources 2025-08-14T22:04:18.5696908Z 2025-08-14T22:04:18.5697729Z inductor/test_cpu_cpp_wrapper 6/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_6.8_95fded245a2e229c_.log 2025-08-14T22:04:18.5749466Z Running 84 items in this shard: test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_add_complex_cpu_separate_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_bernoulli1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_conv2d_binary_inplace_fusion_failed_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_batch_size_16_in_features_52_out_features_32_input_3d_True_gemm_num_3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue1_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias1_epilogue3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue2_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue4_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias3_epilogue0_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_grouped_linear_invalid_batch_size_16_in_features_52_out_features_32_gemm_num_3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_inductor_layout_optimization_input_mutations_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_int8_weight_only_quant_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_int_div_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_packed_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardsigmoid_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardsigmoid_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_leaky_relu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sigmoid_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sub_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_gelu_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_tanh_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_tanh_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_add_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardtanh_cpu_float16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_leaky_relu_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_mul_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_mul_cpu_float32_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_relu_cpu_bfloat16_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_multihead_attention_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qconv2d_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qconv2d_relu_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_fp8_inductor_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_False_is_qat_False_is_dynamic_False_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2_and_not_contiguous_xpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_mul_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_qlinear_relu_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_scatter3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_scatter_reduce3_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_sort_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_sum_int_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::TestCppWrapper::test_tensor2_cpu_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_adding_tensor_offsets_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_bmm1_cpu_separate_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_conv2d_unary_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_custom_op_3_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_batch_size_16_in_features_52_out_features_32_input_3d_False_gemm_num_2_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_False_bias3_epilogue2_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_grouped_linear_epilogue_batch_size_16_in_features_52_out_features_32_input_3d_True_bias0_epilogue0_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_index_put1_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_div_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_div_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_hardsigmoid_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_mul_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_False_epilogue_sub_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_add_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_384_bias_True_epilogue_leaky_relu_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_leaky_relu_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_relu_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_sigmoid_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_False_epilogue_silu_cpu_bfloat16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardsigmoid_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_hardtanh_cpu_float32_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_relu_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_linear_with_pointwise_batch_size_384_in_features_196_out_features_385_bias_True_epilogue_sigmoid_cpu_float16_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qconv2d_relu_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qconv2d_with_concat_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_fp8_inductor_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_False_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_xpu_use_relu_True_is_qat_False_is_dynamic_False_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_input_dim_exceeds_2_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_relu_int8_mixed_bf16_input_dim_exceeds_2_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_qlinear_relu_int8_mixed_bf16_xpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_scatter2_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_scatter_reduce3_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_sort_cpu_dynamic_shapes_cpp_wrapper, test/inductor/test_cpu_cpp_wrapper.py::DynamicShapesCppWrapperCpuTests::test_sum_dtype_cpu_dynamic_shapes_cpp_wrapper 2025-08-14T22:04:18.5801813Z 2025-08-14T22:04:18.6724462Z Running test_comparison_utils 1/1 ... [2025-08-14 22:04:18.672070] 2025-08-14T22:04:18.6725126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:18.6726973Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:18.672428] 2025-08-14T22:04:21.8917777Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:21.8919268Z import pkg_resources 2025-08-14T22:04:22.0169621Z Running functorch/test_ac_logging 1/1 ... [2025-08-14 22:04:22.016630] 2025-08-14T22:04:22.0170102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:22.0172946Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ac_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:22.017011] 2025-08-14T22:04:22.2919581Z 2025-08-14T22:04:22.2920619Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_234b5f25b7cc05b9_.log 2025-08-14T22:04:22.2923426Z Running 7 items in this shard: test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert, test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert_nones, test/test_comparison_utils.py::TestComparisonUtils::test_assert_device, test/test_comparison_utils.py::TestComparisonUtils::test_assert_dtype, test/test_comparison_utils.py::TestComparisonUtils::test_assert_layout, test/test_comparison_utils.py::TestComparisonUtils::test_assert_sizes, test/test_comparison_utils.py::TestComparisonUtils::test_assert_strides 2025-08-14T22:04:22.2925631Z 2025-08-14T22:04:25.4860936Z 2025-08-14T22:04:25.4861991Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_0572f94b0a126f89_.log 2025-08-14T22:04:25.4865006Z Running 4 items in this shard: test/functorch/test_ac_logging.py::TestAcLogging::test_create_activation_checkpointing_logging_structure_payload, test/functorch/test_ac_logging.py::TestAcLogging::test_create_joint_graph_edges, test/functorch/test_ac_logging.py::TestAcLogging::test_create_joint_graph_node_information, test/functorch/test_ac_logging.py::TestAcLogging::test_create_structured_trace_for_min_cut_info 2025-08-14T22:04:25.4867014Z 2025-08-14T22:04:25.6240714Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:25.6242304Z import pkg_resources 2025-08-14T22:04:25.7493476Z Running test_mkl_verbose 1/1 ... [2025-08-14 22:04:25.748955] 2025-08-14T22:04:25.7493937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:25.7496396Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:25.749328] 2025-08-14T22:04:28.7632570Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:28.7634090Z import pkg_resources 2025-08-14T22:04:28.9177733Z Running test_appending_byte_serializer 1/1 ... [2025-08-14 22:04:28.917413] 2025-08-14T22:04:28.9178429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:28.9180644Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_appending_byte_serializer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:28.917778] 2025-08-14T22:04:32.4876435Z 2025-08-14T22:04:32.4877892Z test_appending_byte_serializer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_appending_byte_serializer_1.1_c43a4b0ca7c34230_.log 2025-08-14T22:04:32.4881293Z Running 3 items in this shard: test/test_appending_byte_serializer.py::TestAppendingByteSerializer::test_checksum, test/test_appending_byte_serializer.py::TestAppendingByteSerializer::test_write_and_read_class, test/test_appending_byte_serializer.py::TestAppendingByteSerializer::test_write_and_read_int 2025-08-14T22:04:32.4884010Z 2025-08-14T22:04:33.2749900Z 2025-08-14T22:04:33.2750748Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_370075f29c7e233d_.log 2025-08-14T22:04:33.2751864Z Running 2 items in this shard: test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_off, test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_on 2025-08-14T22:04:33.2752496Z 2025-08-14T22:04:35.8466957Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:35.8468432Z import pkg_resources 2025-08-14T22:04:35.9712817Z Running test_autoload 1/1 ... [2025-08-14 22:04:35.970938] 2025-08-14T22:04:35.9713266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:35.9715286Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autoload.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:35.971303] 2025-08-14T22:04:36.6118911Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:36.6120375Z import pkg_resources 2025-08-14T22:04:36.7413786Z Running test_proxy_tensor 1/2 ... [2025-08-14 22:04:36.741096] 2025-08-14T22:04:36.7414225Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:36.7417237Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_proxy_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:36.741468] 2025-08-14T22:04:39.5405427Z 2025-08-14T22:04:39.5406421Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_1782b527489cfa71_.log 2025-08-14T22:04:39.5407857Z Running 1 items in this shard: test/test_autoload.py::TestDeviceBackendAutoload::test_autoload 2025-08-14T22:04:39.5408295Z 2025-08-14T22:04:42.9336275Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:42.9339109Z import pkg_resources 2025-08-14T22:04:43.0601926Z Running test_mkldnn_verbose 1/1 ... [2025-08-14 22:04:43.059779] 2025-08-14T22:04:43.0602629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:43.0604834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:43.060156] 2025-08-14T22:04:49.8349019Z 2025-08-14T22:04:49.8350210Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_1a4204ca500cabd9_.log 2025-08-14T22:04:49.8352117Z Running 2 items in this shard: test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_off, test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_on 2025-08-14T22:04:49.8353242Z 2025-08-14T22:04:53.1070901Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:04:53.1072689Z import pkg_resources 2025-08-14T22:04:53.2315152Z Running test_utils_config_module 1/1 ... [2025-08-14 22:04:53.231230] 2025-08-14T22:04:53.2315646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:04:53.2317823Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:04:53.231575] 2025-08-14T22:04:57.0012117Z 2025-08-14T22:04:57.0013191Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_868509cf64c61f40_.log 2025-08-14T22:04:57.0021719Z Running 22 items in this shard: test/test_utils_config_module.py::TestConfigModule::test_alias, test/test_utils_config_module.py::TestConfigModule::test_bad_jk_type, test/test_utils_config_module.py::TestConfigModule::test_base_value_loading, test/test_utils_config_module.py::TestConfigModule::test_codegen_config, test/test_utils_config_module.py::TestConfigModule::test_codegen_config_function, test/test_utils_config_module.py::TestConfigModule::test_dict_copy_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_string_semantics, test/test_utils_config_module.py::TestConfigModule::test_get_hash, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_float, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_int, test/test_utils_config_module.py::TestConfigModule::test_make_closur_patcher, test/test_utils_config_module.py::TestConfigModule::test_multi_env, test/test_utils_config_module.py::TestConfigModule::test_none_override_semantics, test/test_utils_config_module.py::TestConfigModule::test_overrides, test/test_utils_config_module.py::TestConfigModule::test_patch, test/test_utils_config_module.py::TestConfigModule::test_reference_is_default, test/test_utils_config_module.py::TestConfigModule::test_reference_semantics, test/test_utils_config_module.py::TestConfigModule::test_save_config, test/test_utils_config_module.py::TestConfigModule::test_save_config_portable, test/test_utils_config_module.py::TestConfigModule::test_type_loading, test/test_utils_config_module.py::TestConfigModule::test_unittest_patch 2025-08-14T22:04:57.0029183Z 2025-08-14T22:05:00.4472787Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:05:00.4474324Z import pkg_resources 2025-08-14T22:05:00.5783938Z Running test_functionalization 1/1 ... [2025-08-14 22:05:00.578111] 2025-08-14T22:05:00.5784410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:05:00.5787239Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:05:00.578464] 2025-08-14T22:05:09.7060758Z 2025-08-14T22:05:09.7062219Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_afcfbaa30dbfbdcd_.log 2025-08-14T22:05:09.7143788Z Running 112 items in this shard: test/test_functionalization.py::TestFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestFunctionalization::test_as_strided, test/test_functionalization.py::TestFunctionalization::test_batch_norm, test/test_functionalization.py::TestFunctionalization::test_cat, test/test_functionalization.py::TestFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestFunctionalization::test_copy_, test/test_functionalization.py::TestFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestFunctionalization::test_diagonal, test/test_functionalization.py::TestFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestFunctionalization::test_everything, test/test_functionalization.py::TestFunctionalization::test_expand_symint, test/test_functionalization.py::TestFunctionalization::test_fill_, test/test_functionalization.py::TestFunctionalization::test_freeze, test/test_functionalization.py::TestFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestFunctionalization::test_instance_norm, test/test_functionalization.py::TestFunctionalization::test_metadata_change, test/test_functionalization.py::TestFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestFunctionalization::test_multi_out, test/test_functionalization.py::TestFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestFunctionalization::test_only_one_view, test/test_functionalization.py::TestFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestFunctionalization::test_python_functionalization, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestFunctionalization::test_resize_smaller, test/test_functionalization.py::TestFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestFunctionalization::test_scalars, test/test_functionalization.py::TestFunctionalization::test_set_, test/test_functionalization.py::TestFunctionalization::test_simple, test/test_functionalization.py::TestFunctionalization::test_simple_out, test/test_functionalization.py::TestFunctionalization::test_slice, test/test_functionalization.py::TestFunctionalization::test_split, test/test_functionalization.py::TestFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestFunctionalization::test_unbind, test/test_functionalization.py::TestFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestFunctionalization::test_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestCrossRefFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestCrossRefFunctionalization::test_as_strided, test/test_functionalization.py::TestCrossRefFunctionalization::test_batch_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_cat, test/test_functionalization.py::TestCrossRefFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_everything, test/test_functionalization.py::TestCrossRefFunctionalization::test_expand_symint, test/test_functionalization.py::TestCrossRefFunctionalization::test_fill_, test/test_functionalization.py::TestCrossRefFunctionalization::test_freeze, test/test_functionalization.py::TestCrossRefFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_instance_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_multi_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestCrossRefFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestCrossRefFunctionalization::test_only_one_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestCrossRefFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_smaller, test/test_functionalization.py::TestCrossRefFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestCrossRefFunctionalization::test_scalars, test/test_functionalization.py::TestCrossRefFunctionalization::test_set_, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_slice, test/test_functionalization.py::TestCrossRefFunctionalization::test_split, test/test_functionalization.py::TestCrossRefFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestCrossRefFunctionalization::test_unbind, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_inplace 2025-08-14T22:05:09.7220572Z 2025-08-14T22:05:13.0908723Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:05:13.0912018Z import pkg_resources 2025-08-14T22:05:13.2142382Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-08-14 22:05:13.213858] 2025-08-14T22:05:13.2143360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:05:13.2145790Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:05:13.214196] 2025-08-14T22:05:17.1512249Z 2025-08-14T22:05:17.1513884Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_8ea52c563a073291_.log 2025-08-14T22:05:17.1516826Z Running 1 items in this shard: test/test_rename_privateuse1_to_existing_device.py::TestRenamePrivateuseoneToExistingBackend::test_external_module_register_with_existing_backend 2025-08-14T22:05:17.1518599Z 2025-08-14T22:05:20.7071087Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:05:20.7073970Z import pkg_resources 2025-08-14T22:05:20.8325259Z Running test_transformers 1/2 ... [2025-08-14 22:05:20.832251] 2025-08-14T22:05:20.8325686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:05:20.8328430Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_transformers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:05:20.832619] 2025-08-14T22:08:29.6372479Z 2025-08-14T22:08:29.6373916Z test_quantization 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_4.4_6116ea4d5cda150d_.log 2025-08-14T22:08:29.6618060Z Running 341 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc, test/test_quantization.py::TestQuantizedOps::test_add_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d, test/test_quantization.py::TestQuantizedOps::test_custom_module_lstm, test/test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention, test/test_quantization.py::TestQuantizedOps::test_hardswish, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_int8_add_onednn, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool1d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_mean, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qclamp, test/test_quantization.py::TestQuantizedOps::test_qmatmul, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQuantizedOps::test_qtopk, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked, test/test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU, test/test_quantization.py::TestDynamicQuantizedOps::test_qrnncell, test/test_quantization.py::TestComparatorOps::test_compare_tensor_scalar, test/test_quantization.py::TestPadding::test_reflection_pad1d, test/test_quantization.py::TestPadding::test_reflection_pad2d, test/test_quantization.py::TestQuantizedFunctionalOps::test_relu_api, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_tensor_affine_inf, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_token, test/test_quantization.py::TestQuantizedTensor::test_jit_serialization, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_qtensor_creation, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy, test/test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel, test/test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value, test/test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity, test/test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity, test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_save_load_state_dict_script, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedModule::test_gru_api, test/test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestDistributed::test_observers_preserve_buffers, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, test/test_quantization.py::TestDistributed::test_qat_data_parallel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal, test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_train, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_by_default, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering, test/test_quantization.py::TestFuseFx::test_fuse_custom_pattern, test/test_quantization.py::TestFuseFx::test_linear_bn_leaky_relu_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_problematic_fuse_example, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_per_channel_quant, test/test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range, test/test_quantization.py::TestQuantizeFx::test_backend_config_scale_min, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes, test/test_quantization.py::TestQuantizeFx::test_dequantize, test/test_quantization.py::TestQuantizeFx::test_dict_output, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer, test/test_quantization.py::TestQuantizeFx::test_fold_quant_dequant, test/test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap, test/test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized, test/test_quantization.py::TestQuantizeFx::test_keep_original_weights, test/test_quantization.py::TestQuantizeFx::test_linear_bn, test/test_quantization.py::TestQuantizeFx::test_linear_qint8_activation, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_mixed_dtypes, test/test_quantization.py::TestQuantizeFx::test_observer_fqn, test/test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class, test/test_quantization.py::TestQuantizeFx::test_preserve_qconfig, test/test_quantization.py::TestQuantizeFx::test_preserve_tuple, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_tuple_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qconfig_for_call_method, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_from_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_none, test/test_quantization.py::TestQuantizeFx::test_qconfig_precedence, test/test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_quantized_model_type, test/test_quantization.py::TestQuantizeFx::test_remove_qconfig, test/test_quantization.py::TestQuantizeFx::test_return_none, test/test_quantization.py::TestQuantizeFx::test_reuse_input_qconfig, test/test_quantization.py::TestQuantizeFx::test_stack_trace_preserved_linear, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qat_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_boolean_tensor, test/test_quantization.py::TestQuantizeFxOps::test_conv_module, test/test_quantization.py::TestQuantizeFxOps::test_embedding, test/test_quantization.py::TestQuantizeFxOps::test_hardswish, test/test_quantization.py::TestQuantizeFxOps::test_instance_norm, test/test_quantization.py::TestQuantizeFxOps::test_mish_reference, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat, test/test_quantization.py::TestQuantizeFxOps::test_rnn, test/test_quantization.py::TestQuantizeFxOps::test_softmax_reference, test/test_quantization.py::TestQuantizeFxOps::test_sum, test/test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear, test/test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp, test/test_quantization.py::TestQuantizeFxModels::test_resnet_base, test/test_quantization.py::TestQuantizeFxModels::test_switch_device_prepare_convert, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu, test/test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig, test/test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween, test/test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw, test/test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec_per_channel, test/test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization, test/test_quantization.py::TestQuantizePT2E::test_embedding_quantizer, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat, test/test_quantization.py::TestQuantizePT2E::test_observer_callback, test/test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestPT2ERepresentation::test_add, test/test_quantization.py::TestPT2ERepresentation::test_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight, test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestSerialization::test_conv2d_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2, test/test_quantization.py::TestSerialization::test_conv3d_relu, test/test_quantization.py::TestSerialization::test_linear, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes, test/test_quantization.py::TestDeprecatedJitQuantized::test_quantization_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn 2025-08-14T22:08:29.6858384Z 2025-08-14T22:08:34.4012476Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:08:34.4015367Z import pkg_resources 2025-08-14T22:08:34.5910758Z Running test_nestedtensor 2/4 ... [2025-08-14 22:08:34.590647] 2025-08-14T22:08:34.5911997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:08:34.5916796Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:08:34.591215] 2025-08-14T22:11:44.6969445Z 2025-08-14T22:11:44.6970801Z test_transformers 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_1.2_2133515aa949da7b_.log 2025-08-14T22:11:44.9407485Z Running 1703 items in this shard: test/test_transformers.py::TestTransformersCPU::test_bias_is_none_cpu, test/test_transformers.py::TestTransformersCPU::test_decoder_only_layer_cpu, test/test_transformers.py::TestTransformersCPU::test_encoder_padding_and_src_mask_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_is_causal_gpu_cpu, test/test_transformers.py::TestTransformersCPU::test_kpm_mask_trailing_column_with_nested_tensor_cpu, test/test_transformers.py::TestTransformersCPU::test_mask_check_fastpath_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_1_bias_False_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_8_bias_True_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_script_mha_in_proj_weight_none_cpu, test/test_transformers.py::TestTransformersCPU::test_self_attn_TxT_attn_mask_cpu, test/test_transformers.py::TestTransformersCPU::test_train_with_pad_and_catch_error_cpu, test/test_transformers.py::TestTransformersCPU::test_transformer_bias_is_none_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_4_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_subclass_model_cpu, test/test_transformers.py::TestTransformersCPU::test_with_nested_tensor_input_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_atteention_large_bf16_nan_values_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_attention_fail_with_non_square_causal_attention_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_193_dropout_p_0_0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_256_dropout_p_0_2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_fail_fp32_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_fused_kernels_nested_broadcasting_error_cases_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_fused_kernels_nested_broadcasting_requires_grad_failure_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_fused_kernels_seq_len_0_inputs_fused_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_attn_mask_present_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_broadcast_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_dim_3_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_invalid_dtype_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_last_dim_stride_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_sequence_lengths_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_eff_attention_fail_with_batch_size_geq_65536_error_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_efficient_fail_bfloat16_less_than_sm80_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_nested_fails_on_padding_head_dim_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_unaligned_tensors_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_cpu_flash_attn_nan_propagation_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_non_masked_rows_nan_props_float32_fill_val_inf_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_attention_math_with_negative_scale_kernel0_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads0_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads1_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads0_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads0_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads1_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads1_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads2_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads0_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads2_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads2_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads3_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads1_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_and_mask_fails_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape3_cpu 2025-08-14T22:11:45.0969393Z 2025-08-14T22:11:48.2006551Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:11:48.2009054Z import pkg_resources 2025-08-14T22:11:48.3263716Z Running test_jiterator 1/1 ... [2025-08-14 22:11:48.325969] 2025-08-14T22:11:48.3264498Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:11:48.3266570Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:11:48.326326] 2025-08-14T22:11:51.7425285Z 2025-08-14T22:11:51.7426876Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_396777c32288a39e_.log 2025-08-14T22:11:51.7427823Z Running 0 items in this shard: 2025-08-14T22:11:51.7428021Z 2025-08-14T22:11:55.1965445Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:11:55.1968073Z import pkg_resources 2025-08-14T22:11:55.3208813Z Running test_decomp 3/11 ... [2025-08-14 22:11:55.320529] 2025-08-14T22:11:55.3209523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:11:55.3211401Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=3', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:11:55.320859] 2025-08-14T22:13:51.1893724Z 2025-08-14T22:13:51.1894620Z test_proxy_tensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.2_8891c96e65b580ca_.log 2025-08-14T22:13:51.2701188Z Running 1781 items in this shard: test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_allclose, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_amp_cache, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_proxy_tensor_mut, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_random, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_unbind, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_decomp_of_capture, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_isolated_graphmodule, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_model_double_param, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_model_fwd_bwd_wgtupdate, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_overloads, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_reentrant_dispatch, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_simple, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_partial_decomp, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_functionalization_view_op, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_mode_stack, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_resnet18_backward_trace, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_scalar_device, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_strides, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_tensor_constants, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_trace_subclasses, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_varargs, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_allclose, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_constant_blowup, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_constant_unbind, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_empty_like_doesnt_burn_in_defaults, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_isolated_graphmodule, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_model_fwd_bwd, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_model_fwd_bwd_wgtupdate, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_partial_decomp, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pr_86917, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_functionalization_view_op, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_no_grad, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_proxy_tensor_mode_with_decomp_table_preserves_proxy, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_resnet18_backward_trace, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_scalar_device, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_val_metadata_mutation, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_amp_cache, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_proxy_tensor_mut, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_random, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_unbind, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_decomp_of_capture, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_decomposition_interpreter, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_empty_like_doesnt_burn_in_defaults, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_model_fwd_bwd_wgtupdate, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_overloads, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_reentrant_dispatch, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_simple, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_mode_tracing_factory_function, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_partial_decomp, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pr_86917, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_functionalization, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_functionalization_view_op, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_no_grad, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_strides, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_trace_subclasses, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_varargs, test/test_proxy_tensor.py::TestRealProxyTensor::test_error_on_data_dependent_ops, test/test_proxy_tensor.py::TestFakeProxyTensor::test_fake_tensor_mode, test/test_proxy_tensor.py::TestFakeProxyTensor::test_fused_adam, test/test_proxy_tensor.py::TestFakeProxyTensor::test_meta, test/test_proxy_tensor.py::TestSymbolicTracing::test_adv_index_batch, test/test_proxy_tensor.py::TestSymbolicTracing::test_broadcast_shapes, test/test_proxy_tensor.py::TestSymbolicTracing::test_constant_specialization, test/test_proxy_tensor.py::TestSymbolicTracing::test_debug_interpreter, test/test_proxy_tensor.py::TestSymbolicTracing::test_dynamic_pointwise_scalar, test/test_proxy_tensor.py::TestSymbolicTracing::test_elementwise_meta_with_sym_numbers, test/test_proxy_tensor.py::TestSymbolicTracing::test_expand, test/test_proxy_tensor.py::TestSymbolicTracing::test_fake_tensor_as_size, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_lowerbound_range_refinement, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_upperbound_range_refinement, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_upperbound_range_refinement_multivariate, test/test_proxy_tensor.py::TestSymbolicTracing::test_guards_equal, test/test_proxy_tensor.py::TestSymbolicTracing::test_int_input, test/test_proxy_tensor.py::TestSymbolicTracing::test_item_to_constructor, test/test_proxy_tensor.py::TestSymbolicTracing::test_mega_guard, test/test_proxy_tensor.py::TestSymbolicTracing::test_metadata, test/test_proxy_tensor.py::TestSymbolicTracing::test_metadata_fresh, test/test_proxy_tensor.py::TestSymbolicTracing::test_multiply_shape, test/test_proxy_tensor.py::TestSymbolicTracing::test_non_deduped_shape, test/test_proxy_tensor.py::TestSymbolicTracing::test_nonidentity_transitive_guards, test/test_proxy_tensor.py::TestSymbolicTracing::test_repeat_interleave, test/test_proxy_tensor.py::TestSymbolicTracing::test_repeat_interleave_unbacked_output_size, test/test_proxy_tensor.py::TestSymbolicTracing::test_reshape_divisibility_unbacked, test/test_proxy_tensor.py::TestSymbolicTracing::test_return_symint, test/test_proxy_tensor.py::TestSymbolicTracing::test_setitem_symint, test/test_proxy_tensor.py::TestSymbolicTracing::test_sym_storage_offset, test/test_proxy_tensor.py::TestSymbolicTracing::test_symbolic_repeat_interleave, test/test_proxy_tensor.py::TestSymbolicTracing::test_symint_to_tensor, test/test_proxy_tensor.py::TestSymbolicTracing::test_unary, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_unify_guard_transitivity, test/test_proxy_tensor.py::TestSymbolicTracing::test_view_divisibility_unbacked, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_as_strided_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_char_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cond_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flex_attention_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_hash_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_hstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_invoke_quant_packed_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_invoke_quant_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_unary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_det_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_map_triple_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_matrix_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_quantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scan_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_searchsorted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_blackman_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_triangular_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___radd___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_einsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_expand_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flex_attention_backward_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_hash_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_invoke_quant_packed_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_invoke_subgraph_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isneginf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_ldl_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log1p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_map_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_map_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_native_dropout_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randint_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_roll_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scan_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_take_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_while_loop_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_H_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyMulCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rdiv___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmod___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_alias_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_bucketize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flex_attention_backward_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_half_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_igamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_grid_sampler_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_local_response_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_tanhshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_short_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_slice_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_invoke_subgraph_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ldexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_le_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_map_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_map_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nansum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rmatmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addcdiv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_any_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_as_strided_partial_views_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cholesky_inverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_hfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ihfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_rfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_rfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_hash_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isreal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_item_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_maximum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_cosine_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_bicubic_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pixel_unshuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_rms_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_stft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_topk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_view_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_xlogy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_zero__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_reshape_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32 2025-08-14T22:13:51.3484871Z 2025-08-14T22:13:54.5281634Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:13:54.5284333Z import pkg_resources 2025-08-14T22:13:54.6541098Z Running test_decomp 5/11 ... [2025-08-14 22:13:54.653751] 2025-08-14T22:13:54.6541777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:13:54.6544138Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:13:54.654122] 2025-08-14T22:16:59.4046491Z 2025-08-14T22:16:59.4048125Z test_nestedtensor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_2.4_abd36bdda7842e02_.log 2025-08-14T22:16:59.4409836Z Running 406 items in this shard: test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_dim, test/test_nestedtensor.py::TestNestedTensor::test_fill_, test/test_nestedtensor.py::TestNestedTensor::test_like_functions_ones_like, test/test_nestedtensor.py::TestNestedTensor::test_nested_tensor_matching_dim, test/test_nestedtensor.py::TestNestedTensor::test_nested_view_from_buffer_overflow_errors, test/test_nestedtensor.py::TestNestedTensor::test_repr_string, test/test_nestedtensor.py::TestNestedTensor::test_to, test/test_nestedtensor.py::TestNestedTensor::test_to_padded_tensor_on_empty_tensor, test/test_nestedtensor.py::TestNestedTensor::test_unbind_0, test/test_nestedtensor.py::TestNestedTensor::test_unbind_1, test/test_nestedtensor.py::TestNestedTensor::test_zero_, test/test_nestedtensor.py::TestNestedInt::test_with_factor, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_binary_ops_with_scalar_eq_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cuda_cpu_bfloat16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_clone_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_strided_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_layer_norm_breaking_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_masked_fill_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_masked_select_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_transpose_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_256_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_8_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_div_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_noncontiguous_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_mul_in_place_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_split_with_sizes_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_split_with_sizes_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_sub_transpose_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_reshape_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_False_weights_only_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_False_weights_only_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_True_weights_only_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_softmax_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_softmax_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_squeeze_unsqueeze_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim2_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim4_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_zero_numel_errors_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_transpose_inference_mode_interaction_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_transpose_inference_mode_interaction_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_gelu_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_isneginf_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_logical_not_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_neg_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_relu__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_sgn_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_view_cpu_float64, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_accumulate_grad_different_strides_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_5d_size_32_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_5d_size_4_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_256_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_32_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_masked_fill_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_bmm_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_matmul_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_transpose_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_unsqueeze_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_False_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_transposed_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_copy__cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_dropout_inference_mode_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_False_cross_attention_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_with_pinned_memory_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_padded_dense_conversion_kernels_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_False_values_is_view_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_False_values_is_view_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_False_values_is_view_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_2d_input_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_2d_input_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_reduce_ragged_idx_1_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_with_lengths_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_with_lengths_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_like_shape_empty_like_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_like_value_randint_like_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_like_value_randn_like_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_like_value_zeros_like_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_transposed_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_transposed_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_transposed_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_with_holes_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_pin_memory_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_profiler_sequence_nr_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_reshape_decomp_requires_grad_False_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_reshape_decomp_requires_grad_True_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_serialization_contig_weights_only_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_serialization_noncontig_transposed_weights_only_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_serialization_noncontig_transposed_weights_only_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_serialization_noncontig_with_holes_weights_only_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_1_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_1_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_False_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_False_components_require_grad_True_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_True_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_transpose_non_ragged_dim_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_True_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_False_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_specialize_dynamic_shape_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_split_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_split_with_sizes_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_tensor_attributes_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_threshold_backward_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_copy_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_False_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_True_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_backward_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_backward_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_lengths_ragged_idx_2_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_transpose_ragged_idx_2_cpu, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rsub___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_abs_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_asinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_atanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_chunk_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_clone_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_conj_physical_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_div_floor_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_div_trunc_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_double_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_exp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_float_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_fmod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_hypot_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_log_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_logit_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_matmul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_max_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_min_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nanmean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nansum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_elu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_embedding_bag_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_embedding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_hardsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_mish_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_pow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_round_decimals_neg_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_rsub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sinc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_entr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_log_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_split_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_to_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_trunc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_unsqueeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_var_unbiased_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___radd___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_acosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_asinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_atan2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_cdouble_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_cos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_deg2rad_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_div_floor_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_erf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_exp2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_fmin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_half_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_linalg_vector_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_log1p_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_log_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nan_to_num_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_celu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_elu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_hardsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_logsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_relu6_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_softplus_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_softshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_softsign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polygamma_polygamma_n_2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polygamma_polygamma_n_4_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_remainder_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_round_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sgn_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sinc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_i0e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_ndtri_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_square_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_trunc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_unflatten_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_unsqueeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___radd___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rdiv___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_acos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_asinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_bmm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_byte_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_chalf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_chunk_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_clamp_min_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_complex_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_copysign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_count_nonzero_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_div_no_rounding_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_expm1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_fill_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_fmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_heaviside_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_igamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isfinite_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isinf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isposinf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_lgamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_log1p_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logaddexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logical_xor_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_logsumexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_max_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_maximum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_celu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_elu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_embedding_bag_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_embedding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_relu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_tanhshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_polygamma_polygamma_n_2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_positive_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_remainder_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_bessel_j0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_bessel_j1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_chebyshev_polynomial_u_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_i0e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_laguerre_polynomial_l_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_log_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_modified_bessel_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_modified_bessel_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_scaled_modified_bessel_k1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_split_with_sizes_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_square_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_to_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_unsqueeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_any_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_clamp_max_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_clone_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_copysign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_deg2rad_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_exp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_fmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_gt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_hypot_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_index_put_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_isinf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_isneginf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_le_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_linalg_vector_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_log_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_logaddexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_logical_and_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_logical_or_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_logit_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nanmean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_embedding_bag_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_embedding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_hardsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_softshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polygamma_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_positive_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_real_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_remainder_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_round_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_rsub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_short_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_bessel_j1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_bessel_y1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_chebyshev_polynomial_w_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_i0e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_i1e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_laguerre_polynomial_l_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_zeta_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_square_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_nested_tensor_input_mutation_backward_cpu, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_nested_tensor_non_contiguous_mutation_cpu 2025-08-14T22:16:59.4765909Z 2025-08-14T22:17:00.0841487Z Uploading artifacts took 0.66 seconds 2025-08-14T22:17:04.1011901Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:17:04.1014811Z import pkg_resources 2025-08-14T22:17:04.2967009Z Running test_decomp 9/11 ... [2025-08-14 22:17:04.296332] 2025-08-14T22:17:04.2967793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:17:04.2971646Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=9', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:17:04.296809] 2025-08-14T22:21:22.8135069Z 2025-08-14T22:21:22.8135871Z test_decomp 3/11 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.11_f161f5753366dffa_.log 2025-08-14T22:21:22.8382946Z Running 819 items in this shard: test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_shapes_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cauchy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_inverse_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logcumsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_xor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_grid_sample_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_grid_sample_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_group_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_group_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_hardshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_l1_loss_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool2d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_replicate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_rms_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_rms_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_selu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_selu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_tanhshrink_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_static_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_outer_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_polar_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_pow_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_prod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_put_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_put_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_quantile_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_randn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_randn_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ravel_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_ravel_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ravel_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ravel_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_reciprocal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_remainder_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_remainder_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_renorm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_renorm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_as_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_resize_as__cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_conj_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_conj_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_neg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_roll_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_roll_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_roll_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_rot90_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_round_decimals_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scalar_tensor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scalar_tensor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_cosine_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_gaussian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_hann_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sort_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_mm_reduce_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_sampled_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_airy_ai_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j0_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_entr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_entr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_erfcx_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i0e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_log_ndtr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_modified_bessel_i1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_modified_bessel_k1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_ndtr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_ndtri_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_zeta_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_lowrank_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triangular_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_fro_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_uniform_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu 2025-08-14T22:21:22.8623634Z 2025-08-14T22:21:26.0718120Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:21:26.0719618Z import pkg_resources 2025-08-14T22:21:26.1968177Z Running test_hub 1/1 ... [2025-08-14 22:21:26.196506] 2025-08-14T22:21:26.1968594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:21:26.1970598Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hub.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:21:26.196847] 2025-08-14T22:21:38.3793562Z 2025-08-14T22:21:38.3794689Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_854436e970f5ae36_.log 2025-08-14T22:21:38.3802506Z Running 20 items in this shard: test/test_hub.py::TestHub::test_download_url_to_file, test/test_hub.py::TestHub::test_get_set_dir, test/test_hub.py::TestHub::test_hub_parse_repo_info, test/test_hub.py::TestHub::test_list_entrypoints, test/test_hub.py::TestHub::test_load_commit_from_forked_repo, test/test_hub.py::TestHub::test_load_from_branch, test/test_hub.py::TestHub::test_load_from_github, test/test_hub.py::TestHub::test_load_from_local_dir, test/test_hub.py::TestHub::test_load_legacy_zip_checkpoint, test/test_hub.py::TestHub::test_load_state_dict_from_url, test/test_hub.py::TestHub::test_load_zip_1_6_checkpoint, test/test_hub.py::TestHub::test_trust_repo_builtin_trusted_owners, test/test_hub.py::TestHub::test_trust_repo_check_no, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_false_emptystring, test/test_hub.py::TestHub::test_trust_repo_false_no, test/test_hub.py::TestHub::test_trust_repo_legacy, test/test_hub.py::TestHub::test_trust_repo_none, test/test_hub.py::TestHub::test_trust_repo_true, test/test_hub.py::TestHub::test_trusted_repo_false_yes 2025-08-14T22:21:38.3810333Z 2025-08-14T22:21:41.7902948Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:21:41.7904468Z import pkg_resources 2025-08-14T22:21:41.9148975Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-08-14 22:21:41.914587] 2025-08-14T22:21:41.9149515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:21:41.9151555Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:21:41.914918] 2025-08-14T22:21:45.3840421Z 2025-08-14T22:21:45.3841626Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_cad9f6e41d0714e3_.log 2025-08-14T22:21:45.3843325Z Running 2 items in this shard: test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_exception, test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_no_exception 2025-08-14T22:21:45.3844311Z 2025-08-14T22:21:48.8094576Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:21:48.8097329Z import pkg_resources 2025-08-14T22:21:48.9369983Z Running test_cuda_expandable_segments 1/1 ... [2025-08-14 22:21:48.936667] 2025-08-14T22:21:48.9370480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:21:48.9372985Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:21:48.937038] 2025-08-14T22:21:53.4439775Z 2025-08-14T22:21:53.4441100Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_68d35b36668a21ff_.log 2025-08-14T22:21:53.4442289Z 2025-08-14T22:21:56.8956170Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:21:56.8957653Z import pkg_resources 2025-08-14T22:21:57.0215886Z Running test_stateless 1/1 ... [2025-08-14 22:21:57.021290] 2025-08-14T22:21:57.0216530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:21:57.0218973Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_stateless.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:21:57.021652] 2025-08-14T22:22:08.1518747Z 2025-08-14T22:22:08.1520046Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_65f508692376fd34_.log 2025-08-14T22:22:08.1560424Z Running 50 items in this shard: test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_multiple_dicts_error, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_tuple_dicts, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_no_error_without_flag, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_torch_func, test/test_stateless.py::TestStatelessDeprecation::test_private_stateless_warns, test/test_stateless.py::TestStatelessDeprecation::test_stateless_functional_call_warns, test/test_stateless.py::TestPythonOptimizeMode::test_runs_with_optimize_flag 2025-08-14T22:22:08.1600465Z 2025-08-14T22:22:11.7583968Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:22:11.7586738Z import pkg_resources 2025-08-14T22:22:11.8837027Z Running distributions/test_constraints 1/1 ... [2025-08-14 22:22:11.883326] 2025-08-14T22:22:11.8837931Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:22:11.8840147Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:22:11.883688] 2025-08-14T22:22:15.8554265Z 2025-08-14T22:22:15.8555927Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_a676bc266b950977_.log 2025-08-14T22:22:15.8657317Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24] 2025-08-14T22:22:15.8756288Z 2025-08-14T22:22:19.1154623Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:22:19.1156135Z import pkg_resources 2025-08-14T22:22:19.2400049Z Running profiler/test_record_function 1/1 ... [2025-08-14 22:22:19.239714] 2025-08-14T22:22:19.2400532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:22:19.2402952Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:22:19.240043] 2025-08-14T22:22:22.8594889Z 2025-08-14T22:22:22.8595927Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_4526141bcf22ddbf_.log 2025-08-14T22:22:22.8598277Z Running 4 items in this shard: test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_delegation_with_profiler, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function_fork, test/profiler/test_record_function.py::TestRecordFunction::test_record_function 2025-08-14T22:22:22.8599960Z 2025-08-14T22:22:26.7771313Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:22:26.7772788Z import pkg_resources 2025-08-14T22:22:26.9023656Z Running nn/test_lazy_modules 1/1 ... [2025-08-14 22:22:26.902059] 2025-08-14T22:22:26.9024290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:22:26.9026430Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_lazy_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:22:26.902399] 2025-08-14T22:22:30.9726356Z 2025-08-14T22:22:30.9727757Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_a8416cef71d9f4ac_.log 2025-08-14T22:22:30.9764322Z Running 59 items in this shard: test/nn/test_lazy_modules.py::TestLazyModules::test_chained_initialization, test/nn/test_lazy_modules.py::TestLazyModules::test_invalid_functions, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm_with_dict_input, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transposed1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_state_and_forward, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_param, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_parameter, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_pre_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_param, test/nn/test_lazy_modules.py::TestLazyModules::test_linear, test/nn/test_lazy_modules.py::TestLazyModules::test_linear_state, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_device, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_dtype, test/nn/test_lazy_modules.py::TestLazyModules::test_optimizer_pass, test/nn/test_lazy_modules.py::TestLazyModules::test_spectral_norm, test/nn/test_lazy_modules.py::TestLazyModules::test_weight_norm 2025-08-14T22:22:30.9799745Z 2025-08-14T22:22:34.3606951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:22:34.3608444Z import pkg_resources 2025-08-14T22:22:34.4857122Z Running test_jit_fuser_te 1/1 ... [2025-08-14 22:22:34.485403] 2025-08-14T22:22:34.4857575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:22:34.4859741Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:22:34.485759] 2025-08-14T22:22:47.2883838Z 2025-08-14T22:22:47.2884680Z test_decomp 5/11 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.11_9f06b0d061ff4bd0_.log 2025-08-14T22:22:47.3126129Z Running 800 items in this shard: test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bincount_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hypot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_det_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_slogdet_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_group_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_group_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_hardswish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_linear_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool3d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_normalize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_constant_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_constant_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_constant_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_constant_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_reflect_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_reflect_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_selu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softplus_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_static_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_nuc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_normal_in_place_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_outer_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_outer_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_positive_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_positive_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_positive_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_quantile_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_rad2deg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_rand_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_randint_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_randint_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_randint_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_randn_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_real_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_real_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_remainder_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_as_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_resize__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_conj_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_conj_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_conj_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_neg_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_neg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_rot90_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_round_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_round_decimals_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_round_decimals_neg_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scalar_tensor_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scalar_tensor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sigmoid_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sigmoid_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_bartlett_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_blackman_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_slice_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_with_dtype_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_mm_reduce_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_airy_ai_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_entr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_erfcx_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_hermite_polynomial_he_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i0e_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_modified_bessel_k1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_ndtri_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_ndtri_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_spherical_bessel_j0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_xlog1py_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_list_args_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_stft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_renorm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_train_mode_cpu_float64 2025-08-14T22:22:47.3361219Z 2025-08-14T22:22:50.7493497Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:22:50.7495248Z import pkg_resources 2025-08-14T22:22:50.8782262Z Running test_segment_reductions 1/1 ... [2025-08-14 22:22:50.877935] 2025-08-14T22:22:50.8782722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:22:50.8785372Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:22:50.878302] 2025-08-14T22:22:55.2990712Z 2025-08-14T22:22:55.2991773Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_434ec483a94372c9_.log 2025-08-14T22:22:55.3024348Z Running 74 items in this shard: test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int64 2025-08-14T22:22:55.3056453Z 2025-08-14T22:22:58.6002636Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:22:58.6005519Z import pkg_resources 2025-08-14T22:22:58.7278018Z Running test_import_stats 1/1 ... [2025-08-14 22:22:58.727484] 2025-08-14T22:22:58.7278787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:22:58.7281960Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:22:58.727867] 2025-08-14T22:23:06.1538502Z 2025-08-14T22:23:06.1539831Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_51cb89ea6deb9a9e_.log 2025-08-14T22:23:06.1542206Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch 2025-08-14T22:23:06.1544730Z 2025-08-14T22:23:09.4231013Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:23:09.4233920Z import pkg_resources 2025-08-14T22:23:09.5468259Z Running test_masked 1/1 ... [2025-08-14 22:23:09.546452] 2025-08-14T22:23:09.5469015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:23:09.5471504Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_masked.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:23:09.546820] 2025-08-14T22:23:35.3031077Z 2025-08-14T22:23:35.3032353Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_a6ebce2c68a3b46f_.log 2025-08-14T22:23:35.3160676Z Running 194 items in this shard: test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_coo_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_sparse_csr_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amax_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_amin_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_mean_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_prod_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_bool, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_float64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int16, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int32, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int64, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_int8, test/test_masked.py::TestMaskedCPU::test_mask_layout_strided_masked_sum_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_log_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_norm_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_normalize_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmax_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_softmin_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_std_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_bfloat16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex128, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_complex64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_float64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int16, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int32, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int64, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_int8, test/test_masked.py::TestMaskedCPU::test_reference_masked_masked_var_cpu_uint8, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_coo_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_csr_fill_value_123_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_0_cpu, test/test_masked.py::TestMaskedCPU::test_where_hybrid_coo_fill_value_123_cpu 2025-08-14T22:23:35.3286921Z 2025-08-14T22:23:38.9151934Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:23:38.9154853Z import pkg_resources 2025-08-14T22:23:39.0732334Z Running test_monitor 1/1 ... [2025-08-14 22:23:39.072812] 2025-08-14T22:23:39.0733264Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:23:39.0735706Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:23:39.073179] 2025-08-14T22:23:42.4942373Z 2025-08-14T22:23:42.4943625Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_9cccefe89990e2af_.log 2025-08-14T22:23:42.4947470Z Running 6 items in this shard: test/test_monitor.py::TestMonitor::test_event_handler, test/test_monitor.py::TestMonitor::test_fixed_count_stat, test/test_monitor.py::TestMonitor::test_interval_stat, test/test_monitor.py::TestMonitor::test_log_event, test/test_monitor.py::TestMonitor::test_wait_counter, test/test_monitor.py::TestMonitorTensorboard::test_event_handler 2025-08-14T22:23:42.4950354Z 2025-08-14T22:23:46.7793855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:23:46.7796749Z import pkg_resources 2025-08-14T22:23:46.9749824Z Running profiler/test_cpp_thread 1/1 ... [2025-08-14 22:23:46.974583] 2025-08-14T22:23:46.9750982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:23:46.9753908Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:23:46.975054] 2025-08-14T22:23:50.6959025Z 2025-08-14T22:23:50.6960782Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_2c6347c7f4f2aef8_.log 2025-08-14T22:23:50.6966847Z Running 6 items in this shard: test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_profile_memory_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_with_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_without_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_profile_memory_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_with_enable_profiler_in_child_thread_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_without_enable_profiler_in_child_thread_xpu 2025-08-14T22:23:50.6971699Z 2025-08-14T22:23:54.3484934Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:23:54.3487873Z import pkg_resources 2025-08-14T22:23:54.5017642Z Running test_subclass 1/1 ... [2025-08-14 22:23:54.501346] 2025-08-14T22:23:54.5018420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:23:54.5021428Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_subclass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:23:54.501799] 2025-08-14T22:23:58.7743200Z 2025-08-14T22:23:58.7744740Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_74dce9156dfb8081_.log 2025-08-14T22:23:58.7817771Z Running 100 items in this shard: test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_deepcopy_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_lazy_module_base_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_diag_tensor_below, test/test_subclass.py::TestSubclass::test_lazy_module_logging_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_sparse_tensor, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_lazy_module_wrapper_with_custom_strides, test/test_subclass.py::TestSubclass::test_module_optimization_base_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_diag_tensor_below, test/test_subclass.py::TestSubclass::test_module_optimization_logging_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_non_wrapper_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_sparse_tensor, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_sizes, test/test_subclass.py::TestSubclass::test_module_optimization_wrapper_with_custom_strides, test/test_subclass.py::TestSubclass::test_non_rewrapping_torch_dispatch_subclass_as_parameter_throws_for_detach, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_base_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_diag_tensor_below_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_logging_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_non_wrapper_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_sparse_tensor_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_sizes_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_False, test/test_subclass.py::TestSubclass::test_param_invariants_wrapper_with_custom_strides_tensor_requires_grad_True, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_base_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_diag_tensor_below_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_logging_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_non_wrapper_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_sparse_tensor_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_sizes_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_False, test/test_subclass.py::TestSubclass::test_parametrization_wrapper_with_custom_strides_leave_parametrized_True, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_repr_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_repr_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_repr_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_serialization_wrapper_with_custom_strides_as_param_True, test/test_subclass.py::TestSubclass::test_tensor_subclass_storage_data_accesses_throw, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_base_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_diag_tensor_below_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_logging_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_non_wrapper_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_sparse_tensor_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_sizes_as_param_True, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_False, test/test_subclass.py::TestSubclass::test_type_propagation_wrapper_with_custom_strides_as_param_True 2025-08-14T22:23:58.7889637Z 2025-08-14T22:24:02.3354750Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:24:02.3357684Z import pkg_resources 2025-08-14T22:24:02.4602566Z Running profiler/test_profiler 1/1 ... [2025-08-14 22:24:02.459889] 2025-08-14T22:24:02.4603417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:24:02.4606523Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:24:02.460296] 2025-08-14T22:24:20.7033844Z 2025-08-14T22:24:20.7035248Z profiler/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_1.1_68dee3f87e38dc7f_.log 2025-08-14T22:24:20.7077356Z Running 70 items in this shard: test/profiler/test_profiler.py::TestProfilerCUDA::test_cudagraph_profiling_workaround, test/profiler/test_profiler.py::TestProfilerCUDA::test_custom_module_input_op_ids, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerITT::test_custom_module_input_op_ids, test/profiler/test_profiler.py::TestProfiler::test_basic_chrome_trace, test/profiler/test_profiler.py::TestProfiler::test_basic_profile, test/profiler/test_profiler.py::TestProfiler::test_concrete_inputs_profiling, test/profiler/test_profiler.py::TestProfiler::test_concrete_inputs_profiling_toggling, test/profiler/test_profiler.py::TestProfiler::test_cpu_annotation_overlap, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_dynamic_toggle, test/profiler/test_profiler.py::TestProfiler::test_event_list, test/profiler/test_profiler.py::TestProfiler::test_export_stacks, test/profiler/test_profiler.py::TestProfiler::test_flops, test/profiler/test_profiler.py::TestProfiler::test_forked_process, test/profiler/test_profiler.py::TestProfiler::test_guarded_record_function_fast, test/profiler/test_profiler.py::TestProfiler::test_high_level_trace, test/profiler/test_profiler.py::TestProfiler::test_is_profiler_enabled, test/profiler/test_profiler.py::TestProfiler::test_kineto, test/profiler/test_profiler.py::TestProfiler::test_kineto_multigpu, test/profiler/test_profiler.py::TestProfiler::test_kineto_profiler_api, test/profiler/test_profiler.py::TestProfiler::test_kineto_profiler_multiple_steppers, test/profiler/test_profiler.py::TestProfiler::test_kineto_profiler_with_environment_variable, test/profiler/test_profiler.py::TestProfiler::test_lazy_build_tree, test/profiler/test_profiler.py::TestProfiler::test_memory_profiler, test/profiler/test_profiler.py::TestProfiler::test_module_hierarchy, test/profiler/test_profiler.py::TestProfiler::test_nested_tensor_with_shapes, test/profiler/test_profiler.py::TestProfiler::test_oom_tracing, test/profiler/test_profiler.py::TestProfiler::test_override_time_units, test/profiler/test_profiler.py::TestProfiler::test_profile_all_threads, test/profiler/test_profiler.py::TestProfiler::test_profiler_correlation_id, test/profiler/test_profiler.py::TestProfiler::test_profiler_cuda_sync_events, test/profiler/test_profiler.py::TestProfiler::test_profiler_disable_fwd_bwd_link, test/profiler/test_profiler.py::TestProfiler::test_profiler_fwd_bwd_link, test/profiler/test_profiler.py::TestProfiler::test_profiler_metadata, test/profiler/test_profiler.py::TestProfiler::test_profiler_op_event_args, test/profiler/test_profiler.py::TestProfiler::test_profiler_op_event_kwargs, test/profiler/test_profiler.py::TestProfiler::test_profiler_strides, test/profiler/test_profiler.py::TestProfiler::test_profiler_time_scale, test/profiler/test_profiler.py::TestProfiler::test_profiler_tracing, test/profiler/test_profiler.py::TestProfiler::test_profiler_type, test/profiler/test_profiler.py::TestProfiler::test_record_function_fast, test/profiler/test_profiler.py::TestProfiler::test_schedule_function_count, test/profiler/test_profiler.py::TestProfiler::test_skip_first_wait, test/profiler/test_profiler.py::TestProfiler::test_source, test/profiler/test_profiler.py::TestProfiler::test_tensorboard_trace_handler, test/profiler/test_profiler.py::TestProfiler::test_user_annotation, test/profiler/test_profiler.py::TestExperimentalUtils::test_bfs, test/profiler/test_profiler.py::TestExperimentalUtils::test_dfs, test/profiler/test_profiler.py::TestExperimentalUtils::test_fuzz_symbolize, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_conv2d_bias_followed_by_batchnorm2d_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_debug_autotuner, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_extra_cuda_copy_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_extra_cuda_copy_pattern_benchmark, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_for_loop_indexing_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_fp32_matmul_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_grad_not_set_to_none_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_matmul_dim_fp16_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_name_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_overload_names, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_pattern_match_helper, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_pattern_matcher_json_report, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_synchronized_dataloader_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_idle_time, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_queue_depth, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_queue_depth_when_no_cuda_events, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_compute_self_time, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_get_optimizable_events, test/profiler/test_profiler.py::TestExperimentalUtils::test_utils_intervals_overlap 2025-08-14T22:24:20.7120437Z 2025-08-14T22:24:24.3565963Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:24:24.3567491Z import pkg_resources 2025-08-14T22:24:24.4797530Z Running functorch/test_vmap_registrations 1/1 ... [2025-08-14 22:24:24.479457] 2025-08-14T22:24:24.4798038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:24:24.4800662Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:24:24.479820] 2025-08-14T22:24:32.8558479Z 2025-08-14T22:24:32.8559538Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_a8b66d6fc01e5e26_.log 2025-08-14T22:24:32.9602393Z Running 1719 items in this shard: test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::cat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::get_first], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[_test::leaky_relu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__and__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__iand__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ior__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__ixor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__or__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::__xor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_add_batch_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_full_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_autocast_to_reduced_precision], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_batch_norm_impl_index_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Byte], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Char], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Double], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Half], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Long], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cast_Short], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_choose_qparams_per_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution.deprecated], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_double_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_convolution_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_clear_plan_cache], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_get_plan_cache_max_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_get_plan_cache_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_cufft_set_plan_cache_max_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_debug_has_internal_overlap], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_dim_arange], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_embedding_bag_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_fused_rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_gather_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_grid_sampler_2d_cpu_fallback_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_has_compatible_shallow_copy_type], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_is_zerotensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_lu_with_info], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_nnpack_available], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pack_padded_sequence_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_circular], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_enum], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_pad_packed_sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_propagate_xla_data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_remove_batch_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_reshape_from_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_rowwise_prune], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_saturate_weight_to_fp16], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_scaled_dot_product_attention_math], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_shape_as_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_draw], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_ff_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_initialize_state_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sobol_engine_scramble_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_bsc_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_bsr_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_compressed_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_coo_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_csc_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_csr_tensor_unsafe], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_log_softmax.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_log_softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_mm.reduce], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_mm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_softmax.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_sum.dim_dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_sum.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_sparse_sum], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_test_ambiguous_defaults.a], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_test_ambiguous_defaults.b], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_test_autograd_multiple_dispatch.ntonly], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_test_check_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_test_serialization_subcmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_test_string_default], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_thnn_differentiable_gru_cell_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_thnn_differentiable_lstm_cell_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_thnn_fused_lstm_cell_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_to_cpu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_unpack_dual], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_upsample_bicubic2d_aa.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_upsample_bilinear2d_aa.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_upsample_nearest_exact1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_upsample_nearest_exact2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_upsample_nearest_exact3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_use_cudnn_rnn_flatten_weight], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_validate_sparse_bsc_tensor_args], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_validate_sparse_bsr_tensor_args], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_validate_sparse_compressed_tensor_args], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_validate_sparse_coo_tensor_args], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_validate_sparse_csc_tensor_args], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_validate_sparse_csr_tensor_args], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_version], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_weight_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_weight_norm_differentiable_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_wrapped_linear_prepack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::_wrapped_quantized_linear_prepacked], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::absolute.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::absolute], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::absolute_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::adaptive_avg_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::adaptive_avg_pool2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::adaptive_avg_pool3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::adaptive_max_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::adjoint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::affine_grid_generator_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::align_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::align_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::align_to.ellipsis_idx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::align_to], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::all.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::all.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::alpha_dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::alpha_dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::any.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::any.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arccos.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arccos], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arccos_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arccosh.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arccosh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arccosh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arcsin.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arcsin], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arcsin_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arcsinh.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arcsinh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arcsinh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctan.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctan2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctan2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctan2_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctan], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctan_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctanh.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctanh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::arctanh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::argsort.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::argsort.stable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::argsort.stable_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::argsort], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::argwhere], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::atleast_1d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::atleast_1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::atleast_2d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::atleast_2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::atleast_3d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::atleast_3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::avg_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::batch_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::bilinear], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::broadcast_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::broadcast_to], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::can_cast], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cartesian_prod], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cat.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cat.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cdist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::chain_matmul.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::chain_matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::chalf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::choose_qparams_optimized], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::clip.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::clip.Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::clip.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::clip], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::clip_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::clip_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::coalesce], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::column_stack.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::column_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::combinations], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concat.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concat.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concat.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concatenate.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concatenate.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concatenate.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::concatenate], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conj_physical], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::contiguous], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv1d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv2d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv3d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv_tbc_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv_transpose1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv_transpose2d.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::conv_transpose3d.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::corrcoef], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cosine_embedding_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cosine_similarity], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cov], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cross.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cross], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cross_entropy_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ctc_loss.IntList], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ctc_loss.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cudnn_is_acceptable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cummax.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cummax.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cummaxmin_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cummin.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cummin.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumprod.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumprod.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumprod_.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumprod_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumsum.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumsum.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumsum_.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumulative_trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::cumulative_trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::det], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::diag.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::diag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::diagflat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::diagonal.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::diff.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::diff], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide.Scalar_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide.Tensor_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide.out_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide_.Scalar_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::divide_.Tensor_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::dsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::dsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::dstack.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::dstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::einsum], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::embedding_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::embedding_bag.padding_idx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::embedding_bag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::embedding_sparse_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::empty.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::expand_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fake_quantize_per_channel_affine], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fake_quantize_per_channel_affine_cachemask_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fake_quantize_per_tensor_affine.tensor_qparams], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fake_quantize_per_tensor_affine], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fake_quantize_per_tensor_affine_cachemask_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_linear_fp16_weight], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_linear_fp16_weight_fp32_activation], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_linear_int8_weight], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_linear_int8_weight_fp32_activation], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_linear_quantize_weight], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_pack_gemm_matrix_fp16], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_pack_quantized_matrix.KN], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fbgemm_pack_quantized_matrix], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::feature_alpha_dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::feature_alpha_dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::feature_dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::feature_dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fft.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fft2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fftn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_fftshift], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_hfft.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_hfft2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_hfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_hfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_hfftn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_hfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifft.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifft2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifftn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ifftshift], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ihfft.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ihfft2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ihfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ihfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ihfftn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_ihfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_irfft.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_irfft2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_irfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_irfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_irfftn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_irfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_rfft.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_rfft2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_rfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_rfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_rfftn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fft_rfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fill_diagonal_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fix.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fix], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fix_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::flatten.DimnameList], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::flatten.named_out_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::flatten.using_ints], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::flatten.using_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::flatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fliplr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::flipud], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power.Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power.Tensor_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power.Tensor_Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power.Tensor_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power.Tensor_Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::float_power_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::frobenius_norm.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::frobenius_norm.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::fused_moving_avg_obs_fake_quant], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gather.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gather.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gather_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ger.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ger], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::get_gradients], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.scalararray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.scalarint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.scalarrayarray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.scalarrayint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.tensorarray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gradient.tensorarrayint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater.Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater.Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_equal.Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_equal.Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_equal_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::greater_equal_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::grid_sampler], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::group_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gru.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gru.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::gru_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::hinge_embedding_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::histogramdd.TensorList_bins], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::histogramdd.int_bins], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::histogramdd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::hsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::hsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::hstack.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::hstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::imag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_add.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_copy.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_copy_.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_fill.Dimname_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_fill.Dimname_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_fill_.Dimname_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_fill_.Dimname_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_select.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_select.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::index_select_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::infinitely_differentiable_gelu_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::inner.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::inner], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::instance_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::inverse.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::inverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_complex], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_distributed], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_floating_point], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_inference], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_leaf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_neg], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_nonzero], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_signed], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::is_vulkan_available], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::isclose], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::isfinite], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::isreal], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::istft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::item], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::kl_div], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::kron.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::kron], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::kthvalue.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::kthvalue.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::l1_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::layer_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ldexp.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ldexp.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ldexp_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less.Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less.Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_equal.Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_equal.Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_equal_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::less_equal_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_cholesky.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_cholesky], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_cond.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_cond.p_str], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_cond.p_str_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_cond], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_det.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_det], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_diagonal], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_eigh.eigvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_eigh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_eigvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_eigvalsh.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_eigvalsh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_inv.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_inv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_ldl_factor.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_ldl_factor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_lu_factor.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_lu_factor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matmul.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_norm.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_norm.str_ord], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_norm.str_ord_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_power.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_power], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.atol_rtol_float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.atol_rtol_float_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.atol_rtol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.atol_rtol_tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.out_tol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank.tol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_matrix_rank], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_multi_dot.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_multi_dot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_norm.ord_str], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_norm.ord_str_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_norm.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_pinv.atol_rtol_float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_pinv.atol_rtol_float_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_pinv.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_pinv.out_rcond_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_pinv.rcond_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_pinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_slogdet.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_solve.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_solve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_solve_ex.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_solve_ex], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_svdvals.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_svdvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_tensorinv.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_tensorinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_tensorsolve.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_tensorsolve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_vecdot.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linalg_vecdot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::linear], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::log_sigmoid.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::log_sigmoid], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::log_softmax.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::log_softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::logcumsumexp.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::logcumsumexp.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::logdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::logsumexp.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::logsumexp.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::lstm.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::lstm.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::lstm_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::lu_solve.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::lu_solve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mH], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mT], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::margin_ranking_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::masked_select_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matmul.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matrix_H], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matrix_exp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matrix_exp_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matrix_power.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::matrix_power], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max.names_dim_max], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max_pool1d_with_indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max_pool2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::max_pool3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mean.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::median.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::median.names_dim_values], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::meshgrid.indexing], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::meshgrid], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::min.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::min.names_dim_min], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::min.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::min.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mish_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mode.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::mode.dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::moveaxis.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::moveaxis.intlist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::movedim.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::movedim.intlist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::msort.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::msort], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multilabel_margin_loss.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multilabel_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multiply.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multiply.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multiply.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multiply_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::multiply_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanmean.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanmean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanmedian.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanmedian.names_dim_values], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanquantile.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanquantile.scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanquantile.scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nanquantile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::narrow.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::narrow], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::native_channel_shuffle], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::negative.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::negative], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::negative_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nested_to_padded_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nll_loss.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nll_loss2d.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nll_loss2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nll_loss_nd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nonzero_numpy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::norm.names_ScalarOpt_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::norm.names_ScalarOpt_dim_dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::norm.names_dtype_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::norm.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::norm_except_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::not_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::not_equal.Scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::not_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::not_equal.Tensor_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::not_equal_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::not_equal_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nuclear_norm.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nuclear_norm.dim_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nuclear_norm.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::nuclear_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::numpy_T], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::one_hot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::orgqr.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::orgqr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::outer.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::outer], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::output_nr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::pad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::pad_sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::pairwise_distance], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::pdist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::pin_memory], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::pinverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::poisson_nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::positive], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::prelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::prod.Dimname_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::prod.dim_Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::promote_types], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::qr.Q], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::qr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantile.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantile.scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantile.scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantized_gru_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantized_lstm_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantized_rnn_relu_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::quantized_rnn_tanh_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rand.generator_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::randn.generator_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::randn.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::ravel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::real], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::refine_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::relu6], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::relu6_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rename], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rename_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::repeat_interleave.self_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::repeat_interleave.self_int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::requires_grad_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::reshape], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::reshape_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::resolve_conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::resolve_neg], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::result_type.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::result_type.Scalar_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::result_type.Scalar_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::result_type.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::retain_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::retains_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rnn_relu.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rnn_relu.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rnn_relu_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rnn_tanh.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rnn_tanh.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rnn_tanh_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::row_stack.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::row_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rrelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::rrelu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::scaled_dot_product_attention], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::scatter.dimname_src], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::scatter.dimname_value], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::scatter_add.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::select.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::selu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::selu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::set_.source_Tensor_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::set_data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::silu_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::size.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::slogdet.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::slow_conv3d.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::slow_conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::smm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::softmax.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sort.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sort.dimname_stable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sort.dimname_values], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sort.dimname_values_stable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_bsc_tensor.ccol_row_value], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_bsc_tensor.ccol_row_value_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_bsr_tensor.crow_col_value], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_bsr_tensor.crow_col_value_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_coo_tensor.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_coo_tensor.indices_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_csc_tensor.ccol_row_value], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_csc_tensor.ccol_row_value_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_csr_tensor.crow_col_value], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sparse_csr_tensor.crow_col_value_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_digamma.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_digamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_erf.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_erf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_erfc.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_erfc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_erfinv.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_erfinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_exp2.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_exp2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_expit.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_expit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_expm1.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_expm1], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_gammainc.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_gammainc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_gammaincc.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_gammaincc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_gammaln.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_gammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_i0.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_i0], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_log1p.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_log1p], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_log_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_logit.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_logit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_logsumexp.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_logsumexp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_multigammaln.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_multigammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_ndtr.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_ndtr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_polygamma.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_polygamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_psi.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_psi], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_round.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_round], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_sinc.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_sinc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_xlogy.other_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_xlogy.other_scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_xlogy.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_xlogy.self_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_xlogy.self_scalar_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::special_xlogy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::split.sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::square.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::square], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::square_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::squeeze.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::squeeze_.dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sspaddmm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std.correction_names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::std_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::stft.center], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::stft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::stride.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::subtract.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::subtract.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::subtract.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::subtract_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::subtract_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sum.DimnameList_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sum.dim_DimnameList], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sum_to_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::swapaxes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::swapaxes_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::swapdims], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::swapdims_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sym_numel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sym_size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sym_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::sym_stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::take_along_dim.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::take_along_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::tensor_split.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::tensor_split.sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::tensor_split.tensor_indices_or_sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::tensordot.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::tensordot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::thnn_conv2d.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::thnn_conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::tile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to.device], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to.dtype_layout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_dense], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_dense_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_mkldnn_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_sparse.sparse_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_sparse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_sparse_bsc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_sparse_bsr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_sparse_csc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::to_sparse_csr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::trace_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::transpose.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::trapz.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::trapz.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::triplet_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::true_divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::true_divide.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::unbind.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::unflatten.Dimname], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::unflatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var.correction_names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var.names_out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::vstack.out], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[aten::where], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::all_gather_into_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::all_gather_into_tensor_coalesced], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::all_reduce], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::all_reduce_coalesced], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::all_to_all_single], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::broadcast], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::reduce_scatter_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::reduce_scatter_tensor_coalesced], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[c10d_functional::wait_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[inductor::_alloc_from_pool], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[mkldnn::_is_mkldnn_acl_supported], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[mkldnn::_is_mkldnn_bf16_supported], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[mkldnn::_is_mkldnn_fp16_supported], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[prepacked::unpack_prepacked_sizes_conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[prepacked::unpack_prepacked_sizes_linear], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[profiler::_record_function_enter], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[profiler::_record_function_enter_new], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[profiler::_record_function_exit._RecordFunction], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[profiler::_record_function_exit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv1d_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_dilation], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_groups], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_output_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_stride], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_transpose], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv2d_unpack_sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_dilation], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_groups], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_output_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_stride], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_transpose], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv3d_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose1d_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_dilation], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_groups], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_output_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_stride], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_transpose], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose2d_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_dilation], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_groups], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_output_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_stride], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_transpose], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_transpose3d_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::conv_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::embedding_bag_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::linear_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::linear_unpack_fp16], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[quantized::make_quantized_cell_params_fp16], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_a_batching_rule_for_composite_implicit_autograd_[sparse::qlinear_unpack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__and__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__and__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__iand__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__iand__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__ior__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__ior__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__ixor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__ixor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__or__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__or__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__xor__.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::__xor__.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_batch_norm_impl_index], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_convolution_double_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_convolution_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_fused_rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_has_compatible_shallow_copy_type], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_lu_with_info], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_pad_circular], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_scaled_dot_product_attention_math], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_test_check_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_upsample_bicubic2d_aa.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::_upsample_bilinear2d_aa.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::absolute], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::absolute_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::adaptive_avg_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::adaptive_avg_pool2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::adaptive_avg_pool3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::adaptive_max_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::adjoint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::alias_copy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arccos], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arccos_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arccosh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arccosh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arcsin], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arcsin_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arcsinh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arcsinh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arctan2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arctan2_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arctan], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arctan_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arctanh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::arctanh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::argsort.stable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::argsort], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::as_strided_copy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::atleast_1d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::atleast_1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::atleast_2d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::atleast_2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::atleast_3d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::atleast_3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::avg_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::batch_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::broadcast_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::broadcast_to], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cartesian_prod], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cdist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::clip.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::clip], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::combinations], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::concat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::concatenate], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conj_physical], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::contiguous], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv1d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv2d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv3d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv_transpose1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv_transpose2d.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::conv_transpose3d.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::corrcoef], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cosine_embedding_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cosine_similarity], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cov], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cross], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cross_entropy_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cumprod_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cumulative_trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::cumulative_trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::det], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::diag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::diagonal_copy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::diff], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide.Scalar_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide.Tensor_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide_.Scalar_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::divide_.Tensor_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::dsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::dsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::dstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::einsum], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::embedding_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::expand_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_fft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_fft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_fftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_fftshift], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_hfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_hfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_hfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_ifft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_ifft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_ifftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_ifftshift], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_ihfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_irfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_irfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_irfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_rfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_rfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fft_rfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fix], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::flatten.using_ints], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::fliplr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::flipud], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::float_power.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::float_power.Tensor_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::float_power.Tensor_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::frobenius_norm.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gather_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::ger], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.scalararray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.scalarint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.scalarrayarray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.scalarrayint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.tensorarray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::gradient.tensorarrayint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::greater.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::greater.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::greater_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::greater_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::grid_sampler], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::group_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::hinge_embedding_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::hsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::hsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::hstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::imag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::index_select_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::inner], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::instance_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::inverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::is_complex], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::is_same_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::isfinite], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::isreal], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::kron], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::l1_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::layer_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::ldexp.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::less.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::less.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::less_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::less_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_cholesky], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_cond], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_det], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_diagonal], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_eigh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_eigvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_eigvalsh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_inv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_ldl_factor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_lu_factor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_matrix_norm.str_ord], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_matrix_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_matrix_power], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_matrix_rank.atol_rtol_float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_matrix_rank.atol_rtol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_multi_dot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_norm.ord_str], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_pinv.atol_rtol_float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_pinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_solve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_solve_ex], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_svdvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_tensorinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linalg_vecdot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::linear], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::log_sigmoid], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::log_softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::logdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::mH], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::mT], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::matrix_H], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::matrix_exp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::matrix_power], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::max.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::max_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::max_pool1d_with_indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::max_pool2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::max_pool3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::meshgrid.indexing], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::meshgrid], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::min.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::moveaxis.intlist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::movedim.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::movedim.intlist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::msort], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::multiply.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::multiply.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::multiply_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::multiply_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::nanmean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::narrow], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::negative], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::nll_loss2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::nll_loss_nd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::not_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::not_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::nuclear_norm.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::nuclear_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::numpy_T], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::orgqr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::outer], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::pad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::pairwise_distance], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::pinverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::poisson_nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::positive], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::prelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::qr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::ravel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::real], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::relu6], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::relu6_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::repeat_interleave.self_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::repeat_interleave.self_int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::reshape], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::reshape_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::resolve_conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::resolve_neg], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::result_type.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::result_type.Scalar_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::result_type.Scalar_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::result_type.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::row_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::rrelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::rrelu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::scaled_dot_product_attention], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::selu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::selu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_digamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_erf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_erfc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_erfinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_exp2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_expit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_expm1], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_gammainc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_gammaincc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_gammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_i0], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_log1p], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_log_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_logit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_logsumexp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_multigammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_ndtr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_polygamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_psi], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_round], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_sinc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_xlogy.other_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_xlogy.self_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::special_xlogy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::split.sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::square], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::std.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::std], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::std_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::std_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::subtract.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::sum_to_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::swapaxes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::swapaxes_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::swapdims], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::swapdims_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::take_along_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::tensor_split.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::tensor_split.sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::tensordot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::tile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::to.device], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::to.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::to.dtype_layout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::to.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::trapz.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::trapz.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::true_divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::unfold_copy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_register_functorch_batched_decomposition_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::absolute], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::absolute_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::adaptive_avg_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::adaptive_avg_pool2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::adaptive_avg_pool3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::adaptive_max_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::adjoint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::affine_grid_generator_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::align_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::align_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::align_to.ellipsis_idx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::align_to], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::alpha_dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::alpha_dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arccos], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arccos_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arccosh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arccosh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arcsin], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arcsin_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arcsinh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arcsinh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arctan2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arctan2_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arctan], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arctan_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arctanh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::arctanh_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::argsort.stable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::argsort], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::argwhere], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::atleast_1d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::atleast_1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::atleast_2d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::atleast_2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::atleast_3d.Sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::atleast_3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::avg_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::batch_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::bilinear], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::broadcast_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::broadcast_to], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::can_cast], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cartesian_prod], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cat.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cdist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::chain_matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::chalf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::choose_qparams_optimized], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::clip.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::clip], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::clip_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::clip_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::coalesce], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::column_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::combinations], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::concat.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::concat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::concatenate.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::concatenate], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conj_physical], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::contiguous], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv1d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv2d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv3d.padding], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv_tbc_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv_transpose1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv_transpose2d.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::conv_transpose3d.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::corrcoef], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cosine_embedding_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cosine_similarity], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cov], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cross], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cross_entropy_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ctc_loss.IntList], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ctc_loss.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cudnn_is_acceptable], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cummaxmin_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cumprod_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cumulative_trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::cumulative_trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::det], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::diag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::diagflat], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::diff], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide.Scalar_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide.Tensor_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide.out_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide_.Scalar_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::divide_.Tensor_mode], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::dsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::dsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::dstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::einsum], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::embedding_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::embedding_bag.padding_idx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::embedding_bag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::expand_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::feature_alpha_dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::feature_alpha_dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::feature_dropout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::feature_dropout_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_fft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_fft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_fftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_fftshift], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_hfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_hfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_hfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ifft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ifft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ifftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ifftshift], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ihfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ihfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_ihfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_irfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_irfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_irfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_rfft2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_rfft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fft_rfftn], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fill_diagonal_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fix], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fix_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::flatten.named_out_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::flatten.using_ints], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::flatten.using_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::flatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fliplr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::flipud], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::float_power.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::float_power.Tensor_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::float_power.Tensor_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::float_power_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::float_power_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::frobenius_norm.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::fused_moving_avg_obs_fake_quant], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gather_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ger], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::get_gradients], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.scalararray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.scalarint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.scalarrayarray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.scalarrayint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.tensorarray], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gradient.tensorarrayint], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater_equal_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::greater_equal_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::grid_sampler], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::group_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gru.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gru.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::gru_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::hinge_embedding_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::histogramdd.TensorList_bins], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::histogramdd.int_bins], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::histogramdd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::hsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::hsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::hstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::imag], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::index_select_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::infinitely_differentiable_gelu_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::inner], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::instance_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::inverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::isclose], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::isfinite], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::isreal], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::istft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::item], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::kl_div], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::kron], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::l1_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::layer_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ldexp.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ldexp_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less_equal_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::less_equal_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_cholesky], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_cond.p_str], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_cond], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_det], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_diagonal], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_eigh.eigvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_eigh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_eigvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_eigvalsh], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_inv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_ldl_factor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_lu_factor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_norm.str_ord], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_power], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_rank.atol_rtol_float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_rank.atol_rtol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_rank.out_tol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_rank.tol_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_matrix_rank], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_multi_dot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_norm.ord_str], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_pinv.atol_rtol_float], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_pinv.out_rcond_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_pinv.rcond_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_pinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_solve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_solve_ex], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_svdvals], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_tensorinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_tensorsolve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linalg_vecdot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::linear], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::log_sigmoid], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::log_softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::logdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::logsumexp.names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::lstm.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::lstm.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::lstm_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::lu_solve], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::mH], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::mT], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::margin_ranking_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::masked_select_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::matmul], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::matrix_H], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::matrix_exp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::matrix_exp_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::matrix_power], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max.names_dim_max], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max_pool1d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max_pool1d_with_indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max_pool2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::max_pool3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::median.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::median.names_dim_values], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::meshgrid.indexing], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::meshgrid], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::min.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::min.names_dim_min], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::min.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::mish_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::moveaxis.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::moveaxis.intlist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::movedim.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::movedim.intlist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::msort], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::multilabel_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::multiply.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::multiply.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::multiply_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::multiply_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nanmean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nanmedian.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nanmedian.names_dim_values], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nanquantile.scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nanquantile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::narrow.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::narrow], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::native_channel_shuffle], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::negative], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::negative_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nested_to_padded_tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nll_loss2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nll_loss_nd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nonzero_numpy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::norm.names_ScalarOpt_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::norm.names_ScalarOpt_dim_dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::norm_except_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::not_equal.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::not_equal.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::not_equal_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::not_equal_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nuclear_norm.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::nuclear_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::numpy_T], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::one_hot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::orgqr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::outer], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::output_nr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pad_sequence], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pairwise_distance], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pdist], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pin_memory], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::pinverse], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::poisson_nll_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::positive], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::prelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::promote_types], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::qr.Q], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::qr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::quantile.scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::quantile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::ravel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::real], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::refine_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::relu6], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::relu6_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rename], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rename_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::repeat_interleave.self_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::repeat_interleave.self_int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::requires_grad_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::reshape], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::reshape_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::resolve_conj], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::resolve_neg], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar_Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::retain_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::retains_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::row_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rrelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rrelu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::scaled_dot_product_attention], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::selu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::selu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::set_.source_Tensor_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::set_data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::silu_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::slow_conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::smm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_digamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erfc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erfinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_exp2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_expit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_expm1], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammainc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammaincc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_i0], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_log1p], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_log_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_logit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_logsumexp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_multigammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_ndtr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_polygamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_psi], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_round], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_sinc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.other_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.self_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::split.sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sspaddmm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft.center], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sum_to_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_numel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::take_along_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.tensor_indices_or_sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensordot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::thnn_conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.device], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype_layout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_mkldnn_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trace_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::triplet_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where] 2025-08-14T22:24:33.0620017Z 2025-08-14T22:24:36.2056884Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:24:36.2058466Z import pkg_resources 2025-08-14T22:24:36.3291283Z Running nn/test_pruning 1/1 ... [2025-08-14 22:24:36.328875] 2025-08-14T22:24:36.3293583Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:24:36.3294623Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pruning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:24:36.329220] 2025-08-14T22:24:39.8487639Z 2025-08-14T22:24:39.8488972Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_1b0a73985dd483c9_.log 2025-08-14T22:24:39.8509755Z Running 34 items in this shard: test/nn/test_pruning.py::TestPruningNN::test_compute_nparams_to_prune, test/nn/test_pruning.py::TestPruningNN::test_custom_from_mask_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_identity_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning_with_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_multiple_pruning_calls, test/nn/test_pruning.py::TestPruningNN::test_prune, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores_mimic_default, test/nn/test_pruning.py::TestPruningNN::test_pruning_container, test/nn/test_pruning.py::TestPruningNN::test_pruning_container_compute_mask, test/nn/test_pruning.py::TestPruningNN::test_pruning_id_consistency, test/nn/test_pruning.py::TestPruningNN::test_pruning_rollback, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_model, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_state_dict, test/nn/test_pruning.py::TestPruningNN::test_random_pruning, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_0perc, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_new_weight, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_orig, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_pickle, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_sizes, test/nn/test_pruning.py::TestPruningNN::test_random_structured_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_exception, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_rnn_pruning, test/nn/test_pruning.py::TestPruningNN::test_unstructured_pruning_same_magnitude, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount_init 2025-08-14T22:24:39.8528960Z 2025-08-14T22:24:43.0827785Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:24:43.0830618Z import pkg_resources 2025-08-14T22:24:43.2064502Z Running test_itt 1/1 ... [2025-08-14 22:24:43.206104] 2025-08-14T22:24:43.2065250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:24:43.2068208Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_itt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:24:43.206492] 2025-08-14T22:24:46.6759624Z 2025-08-14T22:24:46.6760529Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_fecf2990bcb9e07e_.log 2025-08-14T22:24:46.6761567Z Running 1 items in this shard: test/test_itt.py::TestItt::test_itt 2025-08-14T22:24:46.6761877Z 2025-08-14T22:24:49.8995411Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:24:49.8997161Z import pkg_resources 2025-08-14T22:24:50.0238463Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-08-14 22:24:50.023524] 2025-08-14T22:24:50.0238969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:24:50.0240981Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:24:50.023858] 2025-08-14T22:24:57.9489979Z 2025-08-14T22:24:57.9491907Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_9d929d20f4b5ff0f_.log 2025-08-14T22:24:57.9662216Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_logical, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_all_any, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_and_or_xor, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_not_abs, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_double, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_default, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_too_few_items, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_types, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_values, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_?, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_B, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_b, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_h, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_i, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_l, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_list, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_axis_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_keepdims, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_twodim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean_edgecase, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_large_neg_int64, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_neg_width_boundaries, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_sufficient_width, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base3, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base_range, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equiv, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_none_compares_elementwise, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_array_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_func_takes_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_array, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_non_contig, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_property, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_scalar_nan_propagation_arr0_amin0_amax0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin2_amax2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax1, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax_0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_outint32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_memory_overlap, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_transposed, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_noncontig_inplace, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_D, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_F, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_e, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_?, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_B, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_b, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_d, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_f, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_h, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_i, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_l, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting_unsafe, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_inout, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_nonnative, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_03, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_04, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_05, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_06, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_07, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_08, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_09, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_10, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_11, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_12, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_equalnan, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_not_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_min_int, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_all_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_none_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_non_finite_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_scalar_return, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof1, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof2, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_out_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_for_reference_leak, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_full, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_ones, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_zeros, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_empty_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_filled_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_ones_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_zeros_like, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_zero_size, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_numpy_doc_examples, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_object, test/torch_np/numpy_tests/core/test_numeric.py::TestDtypePositional::test_dtype_positional, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_2D, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_list, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_0, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_1, test/torch_np/numpy_tests/core/test_numeric.py::TestArgwhere::test_nd_nd_2, test/torch_np/numpy_tests/core/test_numeric.py::TestStringFunction::test_set_string_function, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll1d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll2d, test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional 2025-08-14T22:24:57.9859297Z 2025-08-14T22:25:01.2917629Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:25:01.2919118Z import pkg_resources 2025-08-14T22:25:01.4159461Z Running test_sympy_utils 1/1 ... [2025-08-14 22:25:01.415614] 2025-08-14T22:25:01.4159889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:25:01.4161611Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sympy_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:25:01.415951] 2025-08-14T22:25:25.2633078Z 2025-08-14T22:25:25.2634274Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_1e22da4df59eca25_.log 2025-08-14T22:25:25.2753102Z Running 209 items in this shard: test/test_sympy_utils.py::TestNumbers::test_float_cast, test/test_sympy_utils.py::TestNumbers::test_int_infinity, test/test_sympy_utils.py::TestNumbers::test_lt_self, test/test_sympy_utils.py::TestNumbers::test_mixed_oo_int_oo, test/test_sympy_utils.py::TestNumbers::test_relation, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_and_, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_bool_ref_range_fn_or_, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_add_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_and_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_bitwise_or_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_floordiv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_maximum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_minimum_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mod_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_mul_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_by_natural_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_pow_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_sub_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_fn_truediv_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_add, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_eq, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_floordiv, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ge, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_gt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_le, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_lt, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_maximum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_minimum, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mod, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_mul, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_ne, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_pow_by_natural, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_sub, test/test_sympy_utils.py::TestValueRanges::test_binary_ref_range_fn_truediv, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_and, test/test_sympy_utils.py::TestValueRanges::test_bitwise_ref_range_fn_bitwise_or, test/test_sympy_utils.py::TestValueRanges::test_mul_zero_unknown, test/test_sympy_utils.py::TestValueRanges::test_pow_half, test/test_sympy_utils.py::TestValueRanges::test_unary_bool_ref_range_fn_not_, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_abs_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_ceil_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_exp_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_floor_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_log_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_neg_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_reciprocal_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_sqrt_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_float, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_fn_square_dtype_int, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_abs, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_ceil, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_exp, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_floor, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_log, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_neg, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_reciprocal, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_sqrt, test/test_sympy_utils.py::TestValueRanges::test_unary_ref_range_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_interp_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_python_interp_fx_fn_truediv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_abs, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_add, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_and_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_and, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_bitwise_or, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ceil, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_eq, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_exp, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floor, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_floordiv, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ge, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_gt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_le, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_log, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_lt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_maximum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_minimum, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mod, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_mul, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_ne, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_neg, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_not_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_or_, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_pow_by_natural, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_reciprocal, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sqrt, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_square, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_sub, test/test_sympy_utils.py::TestSympyInterp::test_tensor_interp_fn_truediv, test/test_sympy_utils.py::TestSympySolve::test_addition, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Equality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_LessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_floordiv_Unequality, test/test_sympy_utils.py::TestSympySolve::test_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympySolve::test_give_up, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Equality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_Unequality, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_LessThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_multiplication_division_inequality_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_Unequality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Equality, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_GreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_LessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictGreaterThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_StrictLessThan, test/test_sympy_utils.py::TestSympySolve::test_noop_rhs_Unequality, test/test_sympy_utils.py::TestSympySolve::test_simple_floordiv_gcd, test/test_sympy_utils.py::TestSympySolve::test_z3_proof_floordiv_eq_simplify, test/test_sympy_utils.py::TestSympyFunctions::test_pickle, test/test_sympy_utils.py::TestSingletonInt::test_basic, test/test_sympy_utils.py::TestIdentity::test_cast_identity_float, test/test_sympy_utils.py::TestIdentity::test_cast_identity_illegal, test/test_sympy_utils.py::TestIdentity::test_cast_identity_int, test/test_sympy_utils.py::TestIdentity::test_expand_identity, test/test_sympy_utils.py::TestTypedExpr::test_typed_expr 2025-08-14T22:25:25.2869201Z 2025-08-14T22:25:28.6281233Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:25:28.6283945Z import pkg_resources 2025-08-14T22:25:28.7518158Z Running torch_np/test_indexing 1/1 ... [2025-08-14 22:25:28.751432] 2025-08-14T22:25:28.7518964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:25:28.7521191Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:25:28.751815] 2025-08-14T22:25:34.8260412Z 2025-08-14T22:25:34.8261883Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_f33d8805dcdd5206_.log 2025-08-14T22:25:34.8266844Z Running 5 items in this shard: test/torch_np/test_indexing.py::TestAdvancedIndexing::test_advanced_separation_patterns, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_broadcast_and_numpy_compatibility, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_comprehensive_indexing, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_ellipsis, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_special_index_types 2025-08-14T22:25:34.8270588Z 2025-08-14T22:25:38.4375762Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:25:38.4378853Z import pkg_resources 2025-08-14T22:25:38.5606343Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-08-14 22:25:38.560229] 2025-08-14T22:25:38.5607569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:25:38.5609709Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:25:38.560597] 2025-08-14T22:25:44.3345153Z 2025-08-14T22:25:44.3346500Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_151cff43e2cae1df_.log 2025-08-14T22:25:44.3564513Z Running 505 items in this shard: test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_rotation_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_4d, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_lr, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_ud, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_default_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_multiple_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_order, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_average_class_without_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x0_axis0_expected_avg0_weights0_expected_wavg0_expected_wsum0, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x1_axis_0_expected_avg1_weights1_expected_wavg1_expected_wsum1, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_returned, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_upcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_weights, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_broadcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_deprecated_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_many_arguments, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_non_bool_deprecation, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_return_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_array_copied, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_floats, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_-4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_multidim, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmax::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmin::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestPtp::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumsum::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestProd::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumprod::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_append, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_n, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_prepend, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_array_order_preserve, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_fancy, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_index_floats, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single_item_array_[1], test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single_item_array_array([1]), test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_single_item_array_non_int, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_slices, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_args, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_badargs, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_decreasing_unsigned_int_f_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype1, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype2, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_f_signed_int_big_jump_f_dtype3, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_inexact_dtypes, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_second_order_accurate, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_spacing, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_specific_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_values, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_decreasing_unsigned_x_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype0, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype1, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype2, test/torch_np/numpy_tests/lib/test_function_base.py::TestGradient::test_x_signed_int_big_jump_x_dtype3, test/torch_np/numpy_tests/lib/test_function_base.py::TestAngle::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_all_zero, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_leading_skip, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_list_to_list, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_no_trim, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_overflow_arr0, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_size_zero, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrimZeros::test_trailing_skip, test/torch_np/numpy_tests/lib/test_function_base.py::TestExtins::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestExtins::test_both, test/torch_np/numpy_tests/lib/test_function_base.py::TestExtins::test_place, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_casting_error, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_forward, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_large_integers_decreasing, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_large_integers_increasing, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_monotonic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_random, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_reverse, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_right_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_right_open, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_right_open_random, test/torch_np/numpy_tests/lib/test_function_base.py::TestDigitize::test_right_open_reverse, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_B_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_B_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_B_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_b_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_b_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_b_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_d_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_d_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_d_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_e_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_e_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_e_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_f_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_f_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_f_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_h_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_h_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_h_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_i_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_i_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_i_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_l_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_l_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_bartlett_dtype_l_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_B_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_B_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_B_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_b_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_b_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_b_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_d_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_d_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_d_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_e_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_e_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_e_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_f_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_f_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_f_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_h_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_h_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_h_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_i_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_i_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_i_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_l_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_l_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_blackman_dtype_l_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_B_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_B_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_B_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_b_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_b_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_b_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_d_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_d_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_d_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_e_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_e_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_e_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_f_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_f_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_f_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_h_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_h_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_h_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_i_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_i_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_i_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_l_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_l_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hamming_dtype_l_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_B_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_B_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_B_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_b_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_b_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_b_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_d_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_d_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_d_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_e_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_e_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_e_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_f_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_f_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_f_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_h_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_h_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_h_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_i_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_i_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_i_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_l_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_l_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_hanning_dtype_l_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_B_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_B_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_B_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_b_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_b_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_b_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_d_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_d_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_d_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_e_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_e_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_e_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_f_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_f_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_f_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_h_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_h_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_h_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_i_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_i_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_i_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_l_M_0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_l_M_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFilterwindows::test_kaiser_dtype_l_M_10, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrapz::test_ndim, test/torch_np/numpy_tests/lib/test_function_base.py::TestTrapz::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestSinc::test_array_like, test/torch_np/numpy_tests/lib/test_function_base.py::TestSinc::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestUnique::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestUnique::test_simple_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestCheckFinite::test_dtype_order, test/torch_np/numpy_tests/lib/test_function_base.py::TestCheckFinite::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_bias, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_corrcoef_dtype_test_type0, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_corrcoef_dtype_test_type1, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_corrcoef_dtype_test_type2, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_ddof, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_extreme, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_non_array, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestCorrCoef::test_xy, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_1D_rowvar, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_1D_variance, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_aweights, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_cov_dtype_test_type0, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_cov_dtype_test_type1, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_cov_dtype_test_type2, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_fweights, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_unit_fweights_and_aweights, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_wrong_ddof, test/torch_np/numpy_tests/lib/test_function_base.py::TestCov::test_xy, test/torch_np/numpy_tests/lib/test_function_base.py::Test_I0::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::Test_I0::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestKaiser::test_int_beta, test/torch_np/numpy_tests/lib/test_function_base.py::TestKaiser::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestMsort::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_indexing, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_invalid_arguments, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_nd_indexing, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_nd_shape, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_nd_values, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_no_input, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_return_type, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_single_input, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_sparse, test/torch_np/numpy_tests/lib/test_function_base.py::TestMeshgrid::test_writeback, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_0d_0d_condition, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_0d_comparison, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_default, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_multidimensional_extrafunc, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_scalar_domains_three_conditions, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestPiecewise::test_two_conditions, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_dtype_reference_leaks, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_empty_with_minlength, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_error_not_1d_vals0, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_error_not_1d_vals_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_simple, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_simple2, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_simple_weight, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_simple_weight2, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_with_incorrect_minlength, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_with_minlength, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_with_minlength_and_weights, test/torch_np/numpy_tests/lib/test_function_base.py::TestBincount::test_with_minlength_smaller_than_maxvalue, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_complex_interp, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_exceptions, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_if_len_x_is_small, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_any_nan_complex-both, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_any_nan_complex-imag, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_any_nan_complex-real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_any_nan_real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_behavior_exact_x, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_f_complex-both, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_f_complex-imag, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_f_complex-real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_f_real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_x_complex-both, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_x_complex-imag, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_x_complex-real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_x_real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_xf_complex-both, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_xf_complex-imag, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_xf_complex-real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_half_inf_xf_real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_inf_complex-both, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_inf_complex-imag, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_inf_complex-real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_non_finite_inf_real, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_period, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_right_left_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_scalar_interpolation_point, test/torch_np/numpy_tests/lib/test_function_base.py::TestInterp::test_zero_dimensional_interpolation_point, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_2D, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_api, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_exception, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q1_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q1_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q1_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q1_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q1_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q_7_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q_7_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q_7_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q_7_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_keepdims_out_q_7_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_extrapolation, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype5_expected_dtype5_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype6_expected_dtype6_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype7_expected_dtype7_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_empty_dim, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_list, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_no_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_sequence, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_correct_quantile_value, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_max_ulp, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_hypo, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_averaged_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_closest_observation, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_hazen, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_higher, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_interpolated_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_linear, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_lower, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_median_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_midpoint, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_nearest, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_normal_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_weibull, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_scalar_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_array_like, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_axis_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_overwrite_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_B_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_H_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_b_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_g_type_out_G, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_h_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_l_type_out_D 2025-08-14T22:25:44.3761989Z 2025-08-14T22:25:47.5320259Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:25:47.5323016Z import pkg_resources 2025-08-14T22:25:47.6562202Z Running test_jit 1/1 ... [2025-08-14 22:25:47.655841] 2025-08-14T22:25:47.6562905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:25:47.6564995Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:25:47.656222] 2025-08-14T22:26:10.3624018Z 2025-08-14T22:26:10.3625457Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_954188f1b86b2c72_.log 2025-08-14T22:26:10.8416263Z Running 6842 items in this shard: test/test_jit_fuser_te.py::TestFuserCommon::test_autodiff_fallback, test/test_jit_fuser_te.py::TestTEFuserStatic::test_abs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_adaptive_avg_pool2d, test/test_jit_fuser_te.py::TestTEFuserStatic::test_add_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_addcmul, test/test_jit_fuser_te.py::TestTEFuserStatic::test_arg_configurations_smoke, test/test_jit_fuser_te.py::TestTEFuserStatic::test_autocast_down, test/test_jit_fuser_te.py::TestTEFuserStatic::test_autocast_up, test/test_jit_fuser_te.py::TestTEFuserStatic::test_batch_norm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_div_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_pow, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_bitwise_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_broadcast, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cat_2k_args, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cat_graph_opt, test/test_jit_fuser_te.py::TestTEFuserStatic::test_channels_last_dims_dynamic, test/test_jit_fuser_te.py::TestTEFuserStatic::test_checks_cat_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_correctness, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_distributes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_motion_deduplicates_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_mul_one, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_multiple, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp_double, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp_int, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_eq_ne, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_ge_le, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_gt_lt, test/test_jit_fuser_te.py::TestTEFuserStatic::test_concat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_concat_invariant, test/test_jit_fuser_te.py::TestTEFuserStatic::test_constant_chunk_shapes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_conv2d, test/test_jit_fuser_te.py::TestTEFuserStatic::test_conv2d_depthwise, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cuda_half, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dims, test/test_jit_fuser_te.py::TestTEFuserStatic::test_disabled, test/test_jit_fuser_te.py::TestTEFuserStatic::test_div_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dynamic_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dynamic_shapes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_eq_unsqueeze_type_as, test/test_jit_fuser_te.py::TestTEFuserStatic::test_erf, test/test_jit_fuser_te.py::TestTEFuserStatic::test_exhaust_specializations, test/test_jit_fuser_te.py::TestTEFuserStatic::test_exp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_fusion_reuse_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_gelu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_hardsigmoid_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserStatic::test_hardswish_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserStatic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserStatic::test_isnan, test/test_jit_fuser_te.py::TestTEFuserStatic::test_kernel_cache_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lerp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_list_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm_concat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm_gates_permutations, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm_traced, test/test_jit_fuser_te.py::TestTEFuserStatic::test_masked_fill, test/test_jit_fuser_te.py::TestTEFuserStatic::test_matmul, test/test_jit_fuser_te.py::TestTEFuserStatic::test_milstm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_minmax, test/test_jit_fuser_te.py::TestTEFuserStatic::test_minmax_int_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_mul_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_neg_pow, test/test_jit_fuser_te.py::TestTEFuserStatic::test_nonzero_device_cuda, test/test_jit_fuser_te.py::TestTEFuserStatic::test_nop, test/test_jit_fuser_te.py::TestTEFuserStatic::test_pow_multiple_dtype, test/test_jit_fuser_te.py::TestTEFuserStatic::test_profiler, test/test_jit_fuser_te.py::TestTEFuserStatic::test_rand_broadcast_cuda, test/test_jit_fuser_te.py::TestTEFuserStatic::test_rand_cuda, test/test_jit_fuser_te.py::TestTEFuserStatic::test_rand_diamond, test/test_jit_fuser_te.py::TestTEFuserStatic::test_relu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_relu_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserStatic::test_remove_output_used_only_in_size, test/test_jit_fuser_te.py::TestTEFuserStatic::test_scalar, test/test_jit_fuser_te.py::TestTEFuserStatic::test_scalar_arg, test/test_jit_fuser_te.py::TestTEFuserStatic::test_scalar_only_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserStatic::test_small_constant, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sub_gt_and, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sum_dim, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sum_keepdim_cast, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sum_simple, test/test_jit_fuser_te.py::TestTEFuserStatic::test_superslomo, test/test_jit_fuser_te.py::TestTEFuserStatic::test_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_ternary_norm_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_ternary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_threshold, test/test_jit_fuser_te.py::TestTEFuserStatic::test_to_device, test/test_jit_fuser_te.py::TestTEFuserStatic::test_to_dtype, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_type_as_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_typecheck, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unrolled_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unsqueeze_size_calculation, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unsqueeze_var_dim, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unsupported_dtypes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_where_and_typing, test/test_jit_fuser_te.py::TestTEFuserStatic::test_where_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_with_strict_fusion, test/test_jit_fuser_te.py::TestTEFuserStatic::test_zero_element_tensors, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_abs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_adaptive_avg_pool2d, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_add_bool, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_addcmul, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_arg_configurations_smoke, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_autocast_down, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_autocast_up, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_batch_norm, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_div_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_pow, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_bitwise_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_broadcast, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_cat_2k_args, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_cat_graph_opt, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_channels_last_dims_dynamic, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_checks_cat_inputs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_correctness, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_distributes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_motion_deduplicates_inputs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_mul_one, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_multiple, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_clamp, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_clamp_double, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_clamp_int, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_comparison_eq_ne, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_comparison_ge_le, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_comparison_gt_lt, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_concat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_concat_invariant, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_constant_chunk_shapes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_conv2d, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_conv2d_depthwise, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_cuda_half, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_dims, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_disabled, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_div_bool, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_dynamic_cat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_dynamic_shapes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_eq_unsqueeze_type_as, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_erf, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_exhaust_specializations, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_exp, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_fusion_reuse_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_gelu, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_hardsigmoid_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_hardswish_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_isnan, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_kernel_cache_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_lerp, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_list_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_lstm, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_lstm_concat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_lstm_gates_permutations, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_lstm_traced, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_masked_fill, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_matmul, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_milstm, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_minmax, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_minmax_int_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_mul_bool, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_neg_pow, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_nonzero_device_cuda, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_nop, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_pow_multiple_dtype, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_profiler, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_rand_broadcast_cuda, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_rand_cuda, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_rand_diamond, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_relu, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_relu_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_remove_output_used_only_in_size, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_scalar, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_scalar_arg, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_scalar_only_inputs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_small_constant, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_sub_gt_and, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_sum_dim, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_sum_keepdim_cast, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_sum_simple, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_superslomo, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_ternary_norm_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_ternary_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_threshold, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_to_device, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_to_dtype, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_type_as_cat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_typecheck, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_unary_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_unrolled_cat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_unsqueeze_size_calculation, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_unsqueeze_var_dim, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_unsupported_dtypes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_where_and_typing, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_where_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_with_strict_fusion, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_zero_element_tensors, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_failures___rmatmul___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_failures_frac_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_failures_matmul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_H_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_T_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___getitem___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___radd___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rand___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rand___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rand___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rand___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rand___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rand___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rdiv___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmod___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmod___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmod___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmod___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rmul___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___ror___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___ror___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___ror___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___ror___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___ror___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___ror___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rpow___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rsub___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rxor___cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rxor___cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rxor___cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rxor___cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rxor___cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness___rxor___cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__batch_norm_with_update_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__batch_norm_with_update_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__batch_norm_with_update_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__batch_norm_with_update_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__chunk_cat_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__native_batch_norm_legit_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__native_batch_norm_legit_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__native_batch_norm_legit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__native_batch_norm_legit_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_lengths_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_lengths_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_lengths_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_lengths_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_offsets_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_offsets_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_offsets_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__segment_reduce_offsets_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__softmax_backward_data_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__softmax_backward_data_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__softmax_backward_data_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__softmax_backward_data_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__upsample_bilinear2d_aa_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__upsample_bilinear2d_aa_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness__upsample_bilinear2d_aa_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_abs_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acos_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_acosh_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_add_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addbmm_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcdiv_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcdiv_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcdiv_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcdiv_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcdiv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcdiv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addcmul_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmm_decomposed_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addmv_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_addr_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_alias_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_all_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_allclose_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_allclose_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_allclose_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_allclose_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_allclose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_allclose_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_amin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_aminmax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_angle_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_any_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_arange_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argmin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argsort_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_argwhere_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_partial_views_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_as_strided_scatter_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_asinh_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atan_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atanh_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_1d_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_2d_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_atleast_3d_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_baddbmm_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bernoulli_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bernoulli_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bernoulli_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bernoulli_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bfloat16_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bincount_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bincount_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bincount_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bincount_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bincount_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_and_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_and_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_and_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_and_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_and_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_and_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_left_shift_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_left_shift_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_left_shift_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_left_shift_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_left_shift_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_not_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_not_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_not_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_not_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_not_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_not_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_or_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_or_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_or_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_or_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_or_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_or_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_right_shift_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_right_shift_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_right_shift_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_right_shift_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_right_shift_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_xor_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_xor_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_xor_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_xor_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_xor_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bitwise_xor_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_block_diag_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bmm_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bool_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_shapes_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_tensors_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_broadcast_to_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_bucketize_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_byte_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cartesian_prod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cat_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cauchy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cauchy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cauchy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cauchy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdist_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdist_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cdouble_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ceil_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cfloat_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chalf_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_char_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_inverse_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_inverse_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_inverse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_inverse_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_solve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_solve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cholesky_solve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_chunk_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_max_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clamp_min_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_clone_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_column_stack_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_combinations_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_complex_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_complex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_complex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_conj_physical_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_constant_pad_nd_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_contiguous_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_copysign_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_corrcoef_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cos_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cosh_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_count_nonzero_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cov_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cross_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cummin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumprod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumsum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_cumulative_trapezoid_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_deg2rad_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diag_embed_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagflat_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diagonal_scatter_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_diff_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_digamma_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dist_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dist_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dist_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dist_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dist_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dist_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_floor_rounding_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_no_rounding_mode_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_div_trunc_rounding_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dot_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_double_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dsplit_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_dstack_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_einsum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_like_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_permuted_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_empty_strided_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eq_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_equal_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erf_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfc_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_erfinv_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exp_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_as_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expand_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_expm1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exponential_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exponential_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exponential_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_exponential_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float8_e4m3fn, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float8_e4m3fnuz, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float8_e5m2, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_float8_e5m2fnuz, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_eye_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fft_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_fftshift_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfft_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_hfftn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifft_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ifftshift_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfft_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_ihfftn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfft_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_irfftn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfft_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fft_rfftn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fill_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flatten_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flip_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fliplr_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_flipud_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_float_power_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_floor_divide_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_fmod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_frexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_frexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_frexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_frexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_uint16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_uint32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_full_like_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gather_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gcd_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gcd_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gcd_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gcd_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gcd_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ge_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geometric_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geqrf_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geqrf_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geqrf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_geqrf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gradient_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_grid_sampler_2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_grid_sampler_2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_grid_sampler_2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_grid_sampler_2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_gt_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_half_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hash_tensor_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_heaviside_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histc_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histc_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histc_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histogram_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histogram_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histogramdd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_histogramdd_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hsplit_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hstack_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hypot_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hypot_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hypot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_hypot_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_i0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igamma_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igamma_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igamma_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igammac_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igammac_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igammac_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_igammac_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_imag_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_imag_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_imag_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_add_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_fill_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_put_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_amin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_mean_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_reduce_prod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_index_select_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_inner_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_int_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isclose_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isfinite_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isinf_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isnan_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isneginf_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isposinf_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_isreal_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_istft_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_istft_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_item_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_2inputs_2outputs_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_binary_return_by_ref_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_jiterator_unary_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kron_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_kthvalue_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lcm_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lcm_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lcm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lcm_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lcm_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ldexp_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_le_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lerp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lerp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lerp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lerp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lerp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lerp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lgamma_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_ex_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_ex_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cholesky_ex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cond_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cond_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cond_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cond_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_cross_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_det_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_det_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_det_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_det_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_diagonal_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eig_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eig_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eig_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eig_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvals_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvals_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvals_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvals_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvalsh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvalsh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvalsh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_eigvalsh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_householder_product_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_householder_product_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_householder_product_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_householder_product_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_ex_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_ex_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_inv_ex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_ex_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_ex_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_factor_ex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_solve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_solve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_ldl_solve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_ex_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_ex_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_factor_ex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_solve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_solve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_lu_solve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_norm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_norm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_power_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_power_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_power_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_power_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_multi_dot_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_hermitian_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_hermitian_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_hermitian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_hermitian_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_singular_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_singular_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_singular_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_pinv_singular_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_qr_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_qr_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_qr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_qr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_slogdet_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_slogdet_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_slogdet_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_slogdet_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_ex_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_ex_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_ex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_triangular_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_triangular_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_triangular_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_solve_triangular_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svd_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svd_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svd_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svdvals_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svdvals_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svdvals_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_svdvals_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorinv_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorinv_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorinv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorinv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorsolve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorsolve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorsolve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_tensorsolve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vander_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vecdot_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vecdot_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vecdot_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vecdot_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vecdot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vecdot_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vector_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vector_norm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vector_norm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vector_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vector_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linalg_vector_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_linspace_tensor_overload_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log10_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log1p_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_normal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_normal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_normal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_normal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_log_softmax_with_dtype_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp2_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp2_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logaddexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logcumsumexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logcumsumexp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logcumsumexp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logcumsumexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logcumsumexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logcumsumexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logdet_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logdet_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logdet_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logdet_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_and_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_not_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_or_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logical_xor_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logit_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logspace_tensor_overload_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_logsumexp_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_long_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lt_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_solve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_solve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_solve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_unpack_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_unpack_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_unpack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_lu_unpack_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mH_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mT_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_amin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_argmin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumprod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_cumsum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_fill_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_log_softmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_log_softmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_log_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_log_softmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logaddexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logaddexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logaddexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logaddexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_logsumexp_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_mean_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_mean_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_median_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_median_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_median_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_median_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_normalize_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_normalize_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_normalize_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_normalize_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_normalize_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_normalize_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_prod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_scatter_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_select_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_softmin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_std_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_sum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_masked_var_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_matrix_exp_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_matrix_exp_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_matrix_exp_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_matrix_exp_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_matrix_exp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_matrix_exp_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_binary_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_pool2d_with_indices_backward_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_pool2d_with_indices_backward_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_pool2d_with_indices_backward_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_no_dim_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_max_reduction_with_dim_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_maximum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mean_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mean_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_median_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_list_of_tensors_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_meshgrid_variadic_tensors_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_binary_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_no_dim_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_min_reduction_with_dim_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_minimum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mm_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mode_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_movedim_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_msort_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mul_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_multinomial_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_multinomial_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_multinomial_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_multinomial_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mv_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nan_to_num_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanmedian_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanquantile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nanquantile_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nansum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_narrow_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_batch_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_batch_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_batch_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_batch_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_dropout_backward_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_layer_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_layer_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_layer_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_native_layer_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ne_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_neg_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_empty_strided_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_full_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_ones_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_new_zeros_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nextafter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nextafter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nextafter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nextafter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_alpha_dropout_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_alpha_dropout_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_alpha_dropout_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_alpha_dropout_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool1d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool2d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_avg_pool3d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_batch_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_batch_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_batch_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_batch_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_bilinear_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_celu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_celu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_celu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_celu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_channel_shuffle_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv1d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv2d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv3d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose1d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose2d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_conv_transpose3d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_similarity_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_similarity_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_similarity_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cosine_similarity_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cross_entropy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cross_entropy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cross_entropy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_cross_entropy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_ctc_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_ctc_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_dropout_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_elu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_elu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_elu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_elu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_bag_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_bag_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_bag_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_bag_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_embedding_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_fractional_max_pool3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gelu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gelu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gelu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_gelu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_glu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_glu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_glu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_glu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_grid_sample_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_grid_sample_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_grid_sample_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_grid_sample_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_group_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_group_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_group_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_group_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardshrink_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardshrink_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardshrink_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardsigmoid_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardsigmoid_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardsigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardsigmoid_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardswish_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardswish_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardswish_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardswish_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hardtanh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_huber_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_huber_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_huber_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_huber_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_instance_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_instance_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_instance_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_instance_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_area_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_area_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_area_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_area_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_linear_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_linear_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_linear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_linear_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_nearest_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_kl_div_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_kl_div_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_kl_div_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_kl_div_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_l1_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_l1_loss_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_l1_loss_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_l1_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_l1_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_l1_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_layer_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_layer_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_layer_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_layer_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_leaky_relu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_leaky_relu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_leaky_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_leaky_relu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_linear_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_local_response_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_local_response_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_local_response_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_local_response_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_local_response_norm_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_logsigmoid_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_logsigmoid_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_logsigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_logsigmoid_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool2d_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_pool3d_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_grad_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_grad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool1d_grad_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_grad_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_grad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool2d_grad_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_grad_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_grad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_max_unpool3d_grad_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mish_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mish_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mish_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mish_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mse_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mse_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mse_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_mse_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multi_head_attention_forward_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multi_head_attention_forward_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multi_head_attention_forward_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multi_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multi_margin_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multilabel_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multilabel_margin_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_nll_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_nll_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_nll_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_nll_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_normalize_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_normalize_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_normalize_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_normalize_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_normalize_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_normalize_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_one_hot_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_circular_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_constant_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_reflect_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pad_replicate_negative_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pairwise_distance_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pdist_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pdist_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_shuffle_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_prelu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_prelu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_prelu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_prelu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu6_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_relu_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rms_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rms_norm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rms_norm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rms_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rms_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rms_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rrelu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rrelu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_rrelu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_selu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_selu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_selu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_selu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_silu_complex_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_silu_complex_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_silu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_silu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_silu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_silu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_soft_margin_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_soft_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_soft_margin_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softplus_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softplus_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softplus_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softplus_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softshrink_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softshrink_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softshrink_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_softsign_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_tanhshrink_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_threshold_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_unfold_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_bilinear_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_bilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_bilinear_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_bilinear_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_nearest_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_nearest_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_nearest_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_nearest_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nn_functional_upsample_nearest_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_nonzero_static_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_fro_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_fro_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_fro_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_fro_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_fro_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_fro_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_inf_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_nuc_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_nuc_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_nuc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_norm_nuc_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_in_place_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_in_place_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_in_place_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_in_place_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_in_place_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_in_place_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_number_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_number_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_number_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_normal_number_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ones_like_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ormqr_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ormqr_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ormqr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ormqr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_outer_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pca_lowrank_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pca_lowrank_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pca_lowrank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pca_lowrank_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_permute_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pinverse_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pinverse_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pinverse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pinverse_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polar_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polar_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_2_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_3_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_polygamma_polygamma_n_4_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_positive_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_pow_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_prod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_put_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_qr_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_qr_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_qr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_qr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_quantile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_quantile_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rad2deg_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rand_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randint_like_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_randn_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_ravel_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_real_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reciprocal_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_remainder_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_renorm_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_renorm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_renorm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_renorm_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_renorm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_renorm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_repeat_interleave_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_as_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_reshape_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize__cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resize_as__cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_conj_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_resolve_neg_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_roll_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rot90_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_0_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_0_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_3_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_3_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_neg_3_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_neg_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_round_decimals_neg_3_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsqrt_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_rsub_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scalar_tensor_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_add_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amax_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_amin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_mean_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_prod_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_scatter_reduce_sum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_searchsorted_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_select_scatter_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sgn_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_short_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sigmoid_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sign_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_bartlett_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_bartlett_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_blackman_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_blackman_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_cosine_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_cosine_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_exponential_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_exponential_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_gaussian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_gaussian_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_general_cosine_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_general_cosine_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_general_hamming_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_general_hamming_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_hamming_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_hamming_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_hann_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_hann_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_kaiser_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_kaiser_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_nuttall_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signal_windows_nuttall_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_signbit_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sin_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinc_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sinh_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_slice_scatter_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_softmax_with_dtype_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sort_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_mm_reduce_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_mm_reduce_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_mm_reduce_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_mm_reduce_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_sampled_addmm_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_sampled_addmm_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_sampled_addmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sparse_sampled_addmm_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_airy_ai_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_j1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_bessel_y1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_t_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_u_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_v_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_chebyshev_polynomial_w_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_entr_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_erfcx_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_h_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_hermite_polynomial_he_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i0e_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_i1e_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_laguerre_polynomial_l_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_legendre_polynomial_p_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_log_ndtr_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_i1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_modified_bessel_k1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtr_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_ndtri_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_spherical_bessel_j0_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_xlog1py_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_special_zeta_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_list_args_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_split_with_sizes_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sqrt_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_square_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_squeeze_multiple_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stack_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_unbiased_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_unbiased_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_unbiased_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_unbiased_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_mean_unbiased_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_unbiased_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_unbiased_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_unbiased_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_unbiased_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_std_unbiased_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stft_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stft_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_stft_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sub_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_sum_to_size_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_lowrank_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_lowrank_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_lowrank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_svd_lowrank_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_t_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_along_dim_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_take_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tan_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tanh_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensor_split_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tensordot_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tile_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_to_sparse_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_topk_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch__scaled_mm_cpu_float8_e4m3fn, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch__scaled_mm_cpu_float8_e5m2, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trace_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_transpose_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapezoid_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trapz_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triangular_solve_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triangular_solve_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triangular_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triangular_solve_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_indices_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_tril_indices_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_indices_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_triu_indices_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_true_divide_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_trunc_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unbind_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unflatten_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unfold_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_uniform_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_uniform_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_uniform_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_uniform_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_uniform_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_uniform_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_consecutive_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_uint16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_uint32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_uint64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unique_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unravel_index_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unravel_index_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unravel_index_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unravel_index_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unravel_index_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_chunk_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsafe_split_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_unsqueeze_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_unbiased_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_unbiased_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_unbiased_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_unbiased_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_mean_unbiased_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_unbiased_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_unbiased_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_unbiased_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_unbiased_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_var_unbiased_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vdot_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_complex_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_complex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_complex_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_real_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_as_real_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_copy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_view_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vsplit_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_vstack_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_where_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_xlogy_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zero__cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_bfloat16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_bool, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_complex128, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_complex32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_complex64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_float16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_float64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_int16, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_int32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_int64, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_int8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_nnc_correctness_zeros_like_cpu_uint8, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_H_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_T_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported___getitem___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported___rpow___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported___rsub___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__batch_norm_with_update_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__chunk_cat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__native_batch_norm_legit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__segment_reduce_lengths_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__segment_reduce_offsets_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__softmax_backward_data_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__unsafe_masked_index_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__unsafe_masked_index_put_accumulate_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported__upsample_bilinear2d_aa_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_acosh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_addbmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_addcdiv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_addmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_addmv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_addr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_alias_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_all_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_allclose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_aminmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_angle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_any_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_arange_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_argmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_argmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_argsort_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_argwhere_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_as_strided_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_as_strided_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_as_strided_partial_views_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_as_strided_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_asinh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_atanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_atleast_1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_atleast_2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_atleast_3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_baddbmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_bernoulli_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_bfloat16_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_block_diag_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_bmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_broadcast_shapes_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_broadcast_tensors_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_broadcast_to_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_bucketize_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cartesian_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cauchy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cdist_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cdouble_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cfloat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_chalf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cholesky_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cholesky_inverse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cholesky_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_chunk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_clamp_max_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_clamp_min_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_clone_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_column_stack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_combinations_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_complex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_conj_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_conj_physical_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_constant_pad_nd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_copysign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_corrcoef_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_count_nonzero_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cov_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cross_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cummax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cummin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cumprod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cumsum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_cumulative_trapezoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_deg2rad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diag_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diag_embed_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diagflat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diagonal_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diagonal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diagonal_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_diff_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_digamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_dist_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_dot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_dsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_dstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_einsum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_empty_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_empty_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_empty_permuted_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_empty_strided_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_equal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_erfinv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_exp2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_expand_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_exponential_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_eye_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_fft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_fft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_fftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_fftshift_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_hfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_hfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_hfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ifft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ifft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ifftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ifftshift_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ihfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ihfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_ihfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_irfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_irfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_irfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_rfft2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_rfft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fft_rfftn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_flatten_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_flip_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fliplr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_flipud_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_float_power_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_floor_divide_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_fmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_frexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_full_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_full_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_gather_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_geometric_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_geqrf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_gradient_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_grid_sampler_2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_hash_tensor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_heaviside_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_histc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_histogram_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_histogramdd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_hsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_hstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_hypot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_i0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_igamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_igammac_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_put_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_reduce_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_reduce_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_reduce_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_reduce_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_index_select_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_inner_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isclose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isfinite_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isinf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isneginf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isposinf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_isreal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_item_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_jiterator_2inputs_2outputs_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_jiterator_4inputs_with_extra_args_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_jiterator_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_jiterator_binary_return_by_ref_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_jiterator_unary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_kron_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_kthvalue_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_ldexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_cholesky_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_cholesky_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_cond_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_cross_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_det_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_diagonal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_eig_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_eigh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_eigvals_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_eigvalsh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_householder_product_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_inv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_inv_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_ldl_factor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_ldl_factor_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_ldl_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_lstsq_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_lstsq_grad_oriented_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_lu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_lu_factor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_lu_factor_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_lu_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_matrix_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_matrix_power_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_matrix_rank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_matrix_rank_hermitian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_multi_dot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_norm_subgradients_at_zero_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_pinv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_pinv_hermitian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_pinv_singular_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_qr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_slogdet_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_solve_ex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_solve_triangular_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_svd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_svdvals_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_tensorinv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_tensorsolve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_vander_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_vecdot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linalg_vector_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linspace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_linspace_tensor_overload_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_log_normal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_log_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_log_softmax_with_dtype_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logaddexp2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logaddexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logcumsumexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logdet_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logical_and_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logical_not_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logical_or_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logical_xor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logspace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logspace_tensor_overload_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_logsumexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_lu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_lu_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_lu_unpack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mH_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mT_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_argmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_argmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_cumprod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_cumsum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_log_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_logaddexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_logsumexp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_median_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_normalize_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_select_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_softmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_std_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_masked_var_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_matrix_exp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_max_pool2d_with_indices_backward_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_max_reduction_no_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_max_reduction_with_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_maximum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_median_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_meshgrid_list_of_tensors_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_meshgrid_variadic_tensors_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_min_reduction_no_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_min_reduction_with_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_minimum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mode_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_movedim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_msort_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_multinomial_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mv_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nan_to_num_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nanmean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nanmedian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nanquantile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nansum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_narrow_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_narrow_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_native_batch_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_native_dropout_backward_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_native_layer_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_new_empty_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_new_empty_strided_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_new_full_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_new_ones_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_new_zeros_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nextafter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_alpha_dropout_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_avg_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_avg_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_avg_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_batch_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_bilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_binary_cross_entropy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_celu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_channel_shuffle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_conv1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_conv2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_conv3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_conv_transpose1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_conv_transpose2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_conv_transpose3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_cosine_embedding_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_cosine_similarity_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_cross_entropy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_ctc_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_dropout2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_dropout3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_dropout_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_elu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_embedding_bag_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_embedding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_fractional_max_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_fractional_max_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_gaussian_nll_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_gelu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_glu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_grid_sample_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_group_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_hinge_embedding_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_huber_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_instance_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_area_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_bicubic_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_bilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_linear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_nearest_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_interpolate_trilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_kl_div_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_l1_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_layer_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_linear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_local_response_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_logsigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_margin_ranking_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_pool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_pool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_pool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_unpool1d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_unpool1d_grad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_unpool2d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_unpool2d_grad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_unpool3d_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_max_unpool3d_grad_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_mish_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_mse_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_multi_head_attention_forward_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_multi_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_multilabel_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_nll_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_normalize_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pad_circular_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pad_constant_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pad_reflect_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pad_replicate_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pad_replicate_negative_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pairwise_distance_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pdist_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pixel_shuffle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_pixel_unshuffle_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_poisson_nll_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_prelu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_rms_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_rrelu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_selu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_silu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_smooth_l1_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_soft_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_softmin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_softmin_with_dtype_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_softshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_triplet_margin_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_unfold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_upsample_bilinear_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nn_functional_upsample_nearest_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nonzero_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_nonzero_static_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_norm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_norm_fro_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_norm_inf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_norm_nuc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_normal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_normal_in_place_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_normal_number_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_ones_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_ones_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_ormqr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_outer_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_pca_lowrank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_permute_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_pinverse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_polar_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_polygamma_polygamma_n_0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_polygamma_polygamma_n_1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_polygamma_polygamma_n_2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_polygamma_polygamma_n_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_polygamma_polygamma_n_4_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_positive_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_put_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_qr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_quantile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_rad2deg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_rand_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_randint_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_randint_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_randn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_randn_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_ravel_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_real_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_renorm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_repeat_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_repeat_interleave_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_resize__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_resize_as__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_resolve_conj_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_resolve_neg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_roll_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_rot90_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_round_decimals_0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_round_decimals_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_round_decimals_neg_3_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scalar_tensor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_reduce_amax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_reduce_amin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_reduce_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_reduce_prod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_scatter_reduce_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_searchsorted_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_select_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_select_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sgn_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_bartlett_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_blackman_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_cosine_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_exponential_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_gaussian_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_general_cosine_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_general_hamming_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_hamming_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_hann_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_kaiser_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signal_windows_nuttall_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_signbit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sinc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_slice_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_slice_scatter_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_softmax_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_softmax_with_dtype_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sort_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sparse_mm_reduce_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sparse_sampled_addmm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_airy_ai_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_bessel_j0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_bessel_j1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_bessel_y0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_bessel_y1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_chebyshev_polynomial_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_chebyshev_polynomial_u_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_chebyshev_polynomial_v_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_chebyshev_polynomial_w_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_entr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_erfcx_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_hermite_polynomial_h_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_hermite_polynomial_he_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_i0e_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_i1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_i1e_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_laguerre_polynomial_l_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_legendre_polynomial_p_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_log_ndtr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_modified_bessel_i0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_modified_bessel_i1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_modified_bessel_k0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_modified_bessel_k1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_ndtr_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_ndtri_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_scaled_modified_bessel_k0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_scaled_modified_bessel_k1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_spherical_bessel_j0_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_xlog1py_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_special_zeta_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_split_list_args_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_split_with_sizes_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_split_with_sizes_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_square_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_squeeze_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_squeeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_squeeze_multiple_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_stack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_mean_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_stft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sum_to_size_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_svd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_svd_lowrank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_t_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_take_along_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_take_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tensor_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tensordot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_to_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_to_sparse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_topk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_trace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_transpose_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_trapezoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_trapz_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_triangular_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tril_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_triu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unbind_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unbind_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unflatten_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unfold_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unfold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_uniform_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unique_consecutive_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unique_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unsafe_chunk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unsafe_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unsqueeze_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_mean_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_vdot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_view_as_complex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_view_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_vsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_vstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_xlogy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_zero__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_zeros_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_zeros_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___radd___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___rdiv___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___rmod___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___rmul___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_abs_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_acos_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_addcmul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_addmm_decomposed_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_asin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_atan2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_atan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_bool_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_byte_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ceil_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_char_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_clamp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_contiguous_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_cos_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_cosh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_div_floor_rounding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_div_no_rounding_mode_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_div_trunc_rounding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_double_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_eq_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_erf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_erfc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_exp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_expand_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_expand_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_expm1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_float_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_floor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_fmod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ge_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_gt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_half_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_int_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_isnan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_le_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lerp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lgamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log10_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log1p_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_long_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_masked_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_max_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_min_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ne_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_neg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardsigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardswish_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardtanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_leaky_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_relu6_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_softplus_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_softsign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_tanhshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_threshold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_permute_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_pow_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reciprocal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_remainder_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reshape_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reshape_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_round_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_rsqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_rsub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_short_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sinh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_tan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_tanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_transpose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_true_divide_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_trunc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_unsqueeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_view_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_view_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_where_cpu_float32, test/test_jit_fuser_te.py::TestLoopnestRandomizationCPU::test_relu_cpu 2025-08-14T22:26:11.2024008Z 2025-08-14T22:26:13.9958800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:26:13.9961540Z import pkg_resources 2025-08-14T22:26:14.1205362Z Running nn/test_packed_sequence 1/1 ... [2025-08-14 22:26:14.120128] 2025-08-14T22:26:14.1206446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:26:14.1208409Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:26:14.120494] 2025-08-14T22:26:18.0909750Z 2025-08-14T22:26:18.0911243Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_444672042209ef83_.log 2025-08-14T22:26:18.0922469Z Running 12 items in this shard: test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_padded_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_non_iterable_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_tensor_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to_memory_format, test/nn/test_packed_sequence.py::PackedSequenceTest::test_total_length, test/nn/test_packed_sequence.py::PackedSequenceTest::test_type_casts, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_wrong_order 2025-08-14T22:26:18.0932552Z 2025-08-14T22:26:22.3841512Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:26:22.3843010Z import pkg_resources 2025-08-14T22:26:22.5079646Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-08-14 22:26:22.507628] 2025-08-14T22:26:22.5080295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:26:22.5082367Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:26:22.507958] 2025-08-14T22:26:29.1815730Z 2025-08-14T22:26:29.1817216Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_2d1f640bd5ad33f1_.log 2025-08-14T22:26:29.1828458Z Running 19 items in this shard: test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_default_constructor_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_device_guard_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_device_guard_set_index_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_divide_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_exp_neg_is_leaf_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_fill_infinity_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_get_current_device_index_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_identity_does_not_hog_memory_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_is_contiguous_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_abs_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_empty_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_narrow_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_ones_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_pad_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_transpose_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_zero__cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_slow_sgd_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_stream_cpu 2025-08-14T22:26:29.1839044Z 2025-08-14T22:26:33.0543737Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:26:33.0545263Z import pkg_resources 2025-08-14T22:26:33.1795003Z Running functorch/test_ops 1/6 ... [2025-08-14 22:26:33.179178] 2025-08-14T22:26:33.1795443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:26:33.1797838Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:26:33.179527] 2025-08-14T22:26:50.2331669Z 2025-08-14T22:26:50.2332955Z test_decomp 9/11 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.11_15b4a50bdb5a1d46_.log 2025-08-14T22:26:50.2809508Z Running 783 items in this shard: test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bincount_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bincount_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_imag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_slogdet_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_xor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_xor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_celu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_celu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv2d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_dropout2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_dropout3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_leaky_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_linear_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_linear_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_multi_head_attention_forward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_normalize_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_one_hot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_replicate_negative_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_prelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_rrelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_tanhshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nonzero_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_fro_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ones_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_outer_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_permute_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_pow_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_put_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_put_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_randint_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_randn_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_randn_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_randn_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ravel_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_ravel_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_real_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_reciprocal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_remainder_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_remainder_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_remainder_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_repeat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_repeat_interleave_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_repeat_interleave_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_reshape_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_resize__cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_resize_as__cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_neg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_resolve_neg_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_rsqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_scatter_reduce_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_searchsorted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sgn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_short_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_signal_windows_general_cosine_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_signbit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sparse_mm_reduce_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_airy_ai_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_j0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_bessel_y1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_hermite_polynomial_he_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i1e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_i1e_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_ndtr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_stft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_lowrank_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_entr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int32, test/test_decomp.py::HasDecompTest::test_has_decomposition 2025-08-14T22:26:50.3278640Z 2025-08-14T22:26:54.0647040Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:26:54.0650257Z import pkg_resources 2025-08-14T22:26:54.1915079Z Running functorch/test_aotdispatch 4/6 ... [2025-08-14 22:26:54.191124] 2025-08-14T22:26:54.1915960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:26:54.1918438Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:26:54.191535] 2025-08-14T22:27:16.9729693Z 2025-08-14T22:27:16.9730800Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_3ae84d6885e9db33_.log 2025-08-14T22:27:17.1025245Z Running 2461 items in this shard: test/test_jit.py::TestTracer::test_call_traced_fn_from_traced_module, test/test_jit.py::TestTracer::test_call_traced_module_from_traced_module, test/test_jit.py::TestTracer::test_canonicalize_tensor_iterator, test/test_jit.py::TestTracer::test_constant, test/test_jit.py::TestTracer::test_conv, test/test_jit.py::TestTracer::test_export_no_reorder, test/test_jit.py::TestTracer::test_force_outplace_check_fill, test/test_jit.py::TestTracer::test_force_outplace_check_zero, test/test_jit.py::TestTracer::test_ge, test/test_jit.py::TestTracer::test_ge_cuda, test/test_jit.py::TestTracer::test_ge_optimized, test/test_jit.py::TestTracer::test_ge_unoptimized, test/test_jit.py::TestTracer::test_index_put, test/test_jit.py::TestTracer::test_index_put_trace_with_view, test/test_jit.py::TestTracer::test_index_put_trace_without_view, test/test_jit.py::TestTracer::test_inplace_check, test/test_jit.py::TestTracer::test_inplace_copy, test/test_jit.py::TestTracer::test_inplace_copy_force_outplace, test/test_jit.py::TestTracer::test_inplace_flags, test/test_jit.py::TestTracer::test_inplace_transplant, test/test_jit.py::TestTracer::test_inplace_warn, test/test_jit.py::TestTracer::test_input_dict_checkTrace_mut, test/test_jit.py::TestTracer::test_input_dict_empty, test/test_jit.py::TestTracer::test_input_dict_empty_list, test/test_jit.py::TestTracer::test_input_dict_insertion_order, test/test_jit.py::TestTracer::test_input_dict_of_dicts, test/test_jit.py::TestTracer::test_input_dict_of_lists, test/test_jit.py::TestTracer::test_input_dict_recursive, test/test_jit.py::TestTracer::test_input_dict_remembers_keys, test/test_jit.py::TestTracer::test_input_dict_unify, test/test_jit.py::TestTracer::test_input_flatten, test/test_jit.py::TestTracer::test_input_list_mixed_type, test/test_jit.py::TestTracer::test_input_list_of_tuples, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten_direct, test/test_jit.py::TestTracer::test_input_tuple_of_dicts, test/test_jit.py::TestTracer::test_interpolate_trace, test/test_jit.py::TestTracer::test_large_nbr_kernel_args, test/test_jit.py::TestTracer::test_lhs_index_fails, test/test_jit.py::TestTracer::test_lhs_index_trivial, test/test_jit.py::TestTracer::test_max_pool, test/test_jit.py::TestTracer::test_nested_inplace, test/test_jit.py::TestTracer::test_non_tensor_tracing, test/test_jit.py::TestTracer::test_output_unflatten, test/test_jit.py::TestTracer::test_python_function, test/test_jit.py::TestTracer::test_python_function_tup, test/test_jit.py::TestTracer::test_repeated_input, test/test_jit.py::TestTracer::test_repeated_output, test/test_jit.py::TestTracer::test_shared_param, test/test_jit.py::TestTracer::test_simple, test/test_jit.py::TestTracer::test_tensor_with_grad_as_constant, test/test_jit.py::TestTracer::test_trace_aliased_parameter, test/test_jit.py::TestTracer::test_trace_annotation, test/test_jit.py::TestTracer::test_trace_arange, test/test_jit.py::TestTracer::test_trace_arange_with_grad, test/test_jit.py::TestTracer::test_trace_autograd_function, test/test_jit.py::TestTracer::test_trace_casts, test/test_jit.py::TestTracer::test_trace_checker_control_flow, test/test_jit.py::TestTracer::test_trace_checker_dot_data, test/test_jit.py::TestTracer::test_trace_checker_dropout_notrain, test/test_jit.py::TestTracer::test_trace_checker_dropout_train, test/test_jit.py::TestTracer::test_trace_checker_inplace_on_view, test/test_jit.py::TestTracer::test_trace_checker_memoization, test/test_jit.py::TestTracer::test_trace_checker_slice_lhs, test/test_jit.py::TestTracer::test_trace_checking_with_deprecated_name, test/test_jit.py::TestTracer::test_trace_checking_with_global_name, test/test_jit.py::TestTracer::test_trace_contiguous, test/test_jit.py::TestTracer::test_trace_contiguous_short_circuit, test/test_jit.py::TestTracer::test_trace_detach, test/test_jit.py::TestTracer::test_trace_detach_inplace, test/test_jit.py::TestTracer::test_trace_detach_inplace_redispatch, test/test_jit.py::TestTracer::test_trace_detach_redispatch, test/test_jit.py::TestTracer::test_trace_dict_input, test/test_jit.py::TestTracer::test_trace_dict_output, test/test_jit.py::TestTracer::test_trace_export_fns, test/test_jit.py::TestTracer::test_trace_export_fns_recursive, test/test_jit.py::TestTracer::test_trace_fork_join_and_module, test/test_jit.py::TestTracer::test_trace_full_dynamic_shape, test/test_jit.py::TestTracer::test_trace_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_index, test/test_jit.py::TestTracer::test_trace_index_constant, test/test_jit.py::TestTracer::test_trace_indexed_assignment, test/test_jit.py::TestTracer::test_trace_inline_shape, test/test_jit.py::TestTracer::test_trace_inverse, test/test_jit.py::TestTracer::test_trace_invert_module_hierarchy, test/test_jit.py::TestTracer::test_trace_legacy_ctor, test/test_jit.py::TestTracer::test_trace_module_argument_names_captured, test/test_jit.py::TestTracer::test_trace_modulelist, test/test_jit.py::TestTracer::test_trace_multi_output_function, test/test_jit.py::TestTracer::test_trace_namedtuple, test/test_jit.py::TestTracer::test_trace_nested_datatypes, test/test_jit.py::TestTracer::test_trace_nested_fn, test/test_jit.py::TestTracer::test_trace_no_duplicated_lifted_input_output, test/test_jit.py::TestTracer::test_trace_numel, test/test_jit.py::TestTracer::test_trace_optioanl_dtype, test/test_jit.py::TestTracer::test_trace_optional, test/test_jit.py::TestTracer::test_trace_out_operator_with_two_output, test/test_jit.py::TestTracer::test_trace_partial_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_random, test/test_jit.py::TestTracer::test_trace_records_names, test/test_jit.py::TestTracer::test_trace_save, test/test_jit.py::TestTracer::test_trace_save_load_copy, test/test_jit.py::TestTracer::test_trace_single_tuple, test/test_jit.py::TestTracer::test_trace_size, test/test_jit.py::TestTracer::test_trace_size_with_grad, test/test_jit.py::TestTracer::test_trace_skip_none_submodule, test/test_jit.py::TestTracer::test_trace_slice, test/test_jit.py::TestTracer::test_trace_slice_expr_complete_type, test/test_jit.py::TestTracer::test_trace_slice_full_dim, test/test_jit.py::TestTracer::test_trace_slice_setitem_dynamic_shape, test/test_jit.py::TestTracer::test_trace_slice_with_grad, test/test_jit.py::TestTracer::test_trace_tensor_factory, test/test_jit.py::TestTracer::test_trace_topk, test/test_jit.py::TestTracer::test_trace_tuple, test/test_jit.py::TestTracer::test_trace_variable_instantiation, test/test_jit.py::TestTracer::test_trace_warn, test/test_jit.py::TestTracer::test_trace_with_conditional_property, test/test_jit.py::TestTracer::test_trace_with_nested_strided_tensor_output, test/test_jit.py::TestTracer::test_trace_with_nested_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_number_list_output, test/test_jit.py::TestTracer::test_trace_with_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_tuple_tensor, test/test_jit.py::TestTracer::test_traced_module_cuda, test/test_jit.py::TestTracer::test_tracing_backward_hook_error, test/test_jit.py::TestTracer::test_tracing_hooks, test/test_jit.py::TestTracer::test_tracing_multiple_methods, test/test_jit.py::TestTracer::test_type_same_device, test/test_jit.py::TestTracer::test_typeas_trace_check, test/test_jit.py::TestTracer::test_wrapped_number, test/test_jit.py::TestMixTracingScripting::test_call_script_fn_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_script_module_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_traced_fn_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_traced_mod_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_tracing_fn_from_script_module, test/test_jit.py::TestMixTracingScripting::test_call_tracing_mod_from_script_module, test/test_jit.py::TestMixTracingScripting::test_jit_trace_callfunction_return_shapes, test/test_jit.py::TestMixTracingScripting::test_script_inline_trace_multiple_args, test/test_jit.py::TestMixTracingScripting::test_trace_dict_mix_script, test/test_jit.py::TestMixTracingScripting::test_trace_hierarchy, test/test_jit.py::TestMixTracingScripting::test_trace_linear, test/test_jit.py::TestMixTracingScripting::test_trace_mixed_by_script_with_dict_output, test/test_jit.py::TestMixTracingScripting::test_trace_of_script, test/test_jit.py::TestMixTracingScripting::test_trace_parameter, test/test_jit.py::TestMixTracingScripting::test_trace_returning_dict_with_tensor_tuples, test/test_jit.py::TestMixTracingScripting::test_trace_script, test/test_jit.py::TestMixTracingScripting::test_trace_script_returning_complex_dict, test/test_jit.py::TestMixTracingScripting::test_trace_with_size, test/test_jit.py::TestMixTracingScripting::test_traced_module_contains_scripted_interface_types, test/test_jit.py::TestMixTracingScripting::test_traced_module_implements_interface, test/test_jit.py::TestMixTracingScripting::test_tracing_indexing, test/test_jit.py::TestMixTracingScripting::test_tracing_slicing, test/test_jit.py::TestRecursiveScript::test_attributes, test/test_jit.py::TestRecursiveScript::test_class_compile, test/test_jit.py::TestRecursiveScript::test_constants_with_final, test/test_jit.py::TestRecursiveScript::test_dir, test/test_jit.py::TestRecursiveScript::test_error_stack, test/test_jit.py::TestRecursiveScript::test_error_stack_annotation, test/test_jit.py::TestRecursiveScript::test_error_stack_class, test/test_jit.py::TestRecursiveScript::test_error_stack_module, test/test_jit.py::TestRecursiveScript::test_failed_function_compilation, test/test_jit.py::TestRecursiveScript::test_function_attribute_in_submodule, test/test_jit.py::TestRecursiveScript::test_ignore_class, test/test_jit.py::TestRecursiveScript::test_inferred_nonetype, test/test_jit.py::TestRecursiveScript::test_init_error, test/test_jit.py::TestRecursiveScript::test_inner_traced_module, test/test_jit.py::TestRecursiveScript::test_iterable_modules, test/test_jit.py::TestRecursiveScript::test_method_call, test/test_jit.py::TestRecursiveScript::test_module_basic, test/test_jit.py::TestRecursiveScript::test_module_function_export, test/test_jit.py::TestRecursiveScript::test_module_name, test/test_jit.py::TestRecursiveScript::test_module_repr, test/test_jit.py::TestRecursiveScript::test_optional_module, test/test_jit.py::TestRecursiveScript::test_override_instance_method_ignore, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_basic, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_cycle, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_escape_hatch, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_iterable_modules, test/test_jit.py::TestRecursiveScript::test_python_function_attribute, test/test_jit.py::TestRecursiveScript::test_repeated_error_stack, test/test_jit.py::TestRecursiveScript::test_script_after_eval, test/test_jit.py::TestRecursiveScript::test_script_basic, test/test_jit.py::TestRecursiveScript::test_script_function_attribute, test/test_jit.py::TestRecursiveScript::test_script_loaded_module, test/test_jit.py::TestRecursiveScript::test_thread_safe_error_stacks, test/test_jit.py::TestTypeSharing::test_assign_python_attr, test/test_jit.py::TestTypeSharing::test_basic, test/test_jit.py::TestTypeSharing::test_builtin_function_different, test/test_jit.py::TestTypeSharing::test_builtin_function_same, test/test_jit.py::TestTypeSharing::test_constants, test/test_jit.py::TestTypeSharing::test_diff_attr_values, test/test_jit.py::TestTypeSharing::test_failed_attribute_compilation, test/test_jit.py::TestTypeSharing::test_ignored_fns, test/test_jit.py::TestTypeSharing::test_linear, test/test_jit.py::TestTypeSharing::test_loaded_modules_work, test/test_jit.py::TestTypeSharing::test_module_dict_same_type_different_name, test/test_jit.py::TestTypeSharing::test_mutate_attr_value, test/test_jit.py::TestTypeSharing::test_param_vs_attribute, test/test_jit.py::TestTypeSharing::test_python_function_attribute_different, test/test_jit.py::TestTypeSharing::test_python_function_attribute_same, test/test_jit.py::TestTypeSharing::test_same_but_different_classes, test/test_jit.py::TestTypeSharing::test_script_function_attribute_different, test/test_jit.py::TestTypeSharing::test_script_function_attribute_same, test/test_jit.py::TestTypeSharing::test_script_module_containing_traced_module, test/test_jit.py::TestTypeSharing::test_submodules, test/test_jit.py::TestTypeSharing::test_tracing_gives_different_types, test/test_jit.py::TestTypeSharing::test_type_not_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_sharing_define_in_init, test/test_jit.py::TestTypeSharing::test_type_sharing_disabled, test/test_jit.py::TestLogging::test_bump_numeric_counter, test/test_jit.py::TestLogging::test_counter_aggregation, test/test_jit.py::TestLogging::test_logging_levels_set, test/test_jit.py::TestLogging::test_time_measurement_counter, test/test_jit.py::TestLogging::test_time_measurement_counter_script, test/test_jit.py::TestLogging::test_trace_numeric_counter, test/test_jit.py::TestBackends::test_errors, test/test_jit.py::TestBackends::test_execution, test/test_jit.py::TestBackends::test_save_load, test/test_jit.py::TestBackendsWithCompiler::test_errors, test/test_jit.py::TestBackendsWithCompiler::test_execution, test/test_jit.py::TestNnapiBackend::test_adaptive_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_cat, test/test_jit.py::TestNnapiBackend::test_compile_spec_santiy, test/test_jit.py::TestNnapiBackend::test_conv2d, test/test_jit.py::TestNnapiBackend::test_conv2d_transpose, test/test_jit.py::TestNnapiBackend::test_dequantize, test/test_jit.py::TestNnapiBackend::test_detach, test/test_jit.py::TestNnapiBackend::test_flatten, test/test_jit.py::TestNnapiBackend::test_hardtanh, test/test_jit.py::TestNnapiBackend::test_linear, test/test_jit.py::TestNnapiBackend::test_log_softmax, test/test_jit.py::TestNnapiBackend::test_max_pool2d, test/test_jit.py::TestNnapiBackend::test_mean, test/test_jit.py::TestNnapiBackend::test_multi_output, test/test_jit.py::TestNnapiBackend::test_pointwise_binary, test/test_jit.py::TestNnapiBackend::test_pointwise_binary_const, test/test_jit.py::TestNnapiBackend::test_pointwise_unary, test/test_jit.py::TestNnapiBackend::test_prelu, test/test_jit.py::TestNnapiBackend::test_qadd, test/test_jit.py::TestNnapiBackend::test_qlinear, test/test_jit.py::TestNnapiBackend::test_quantize, test/test_jit.py::TestNnapiBackend::test_reshape, test/test_jit.py::TestNnapiBackend::test_seblock_mul, test/test_jit.py::TestNnapiBackend::test_slice, test/test_jit.py::TestNnapiBackend::test_softmax, test/test_jit.py::TestNnapiBackend::test_tensor_input, test/test_jit.py::TestNnapiBackend::test_to, test/test_jit.py::TestNnapiBackend::test_unsqueeze, test/test_jit.py::TestNnapiBackend::test_upsample_nearest2d, test/test_jit.py::TestList::test_comprehension_iterable, test/test_jit.py::TestList::test_comprehension_out_type_not_in_type, test/test_jit.py::TestList::test_comprehensions_basic, test/test_jit.py::TestList::test_comprehensions_basic_float, test/test_jit.py::TestList::test_comprehensions_two_comps, test/test_jit.py::TestList::test_copy_list_immutable, test/test_jit.py::TestList::test_copy_list_mutable, test/test_jit.py::TestList::test_del, test/test_jit.py::TestList::test_dict_keyword_is_correctly_typed, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_empty_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_empty_iterable, test/test_jit.py::TestList::test_dict_keyword_with_internal_aggregate_function, test/test_jit.py::TestList::test_dict_keyword_with_iterable, test/test_jit.py::TestList::test_dict_keyword_with_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_kwargs_using_container_values, test/test_jit.py::TestList::test_dict_keyword_with_mapping, test/test_jit.py::TestList::test_dict_keyword_with_mapping_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_mismatched_annotations, test/test_jit.py::TestList::test_dict_keyword_with_nested_call, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable_and_kwargs, test/test_jit.py::TestList::test_extend_list_immutable, test/test_jit.py::TestList::test_extend_list_mutable, test/test_jit.py::TestList::test_in_check, test/test_jit.py::TestList::test_list_bool_conversion, test/test_jit.py::TestList::test_list_count, test/test_jit.py::TestList::test_list_count_not_existing, test/test_jit.py::TestList::test_list_gather, test/test_jit.py::TestList::test_list_index, test/test_jit.py::TestList::test_list_index_not_existing, test/test_jit.py::TestList::test_list_keyword, test/test_jit.py::TestList::test_list_len, test/test_jit.py::TestList::test_list_literal, test/test_jit.py::TestList::test_list_none, test/test_jit.py::TestList::test_list_ops, test/test_jit.py::TestList::test_list_slice, test/test_jit.py::TestList::test_list_sort, test/test_jit.py::TestList::test_list_unification_hint, test/test_jit.py::TestList::test_list_variance, test/test_jit.py::TestList::test_min_bool_list, test/test_jit.py::TestList::test_min_max_list, test/test_jit.py::TestList::test_min_max_single_list, test/test_jit.py::TestList::test_mutable_list_append, test/test_jit.py::TestList::test_mutable_list_append_2, test/test_jit.py::TestList::test_mutable_list_append_if, test/test_jit.py::TestList::test_mutable_list_append_if_else, test/test_jit.py::TestList::test_mutable_list_append_loop, test/test_jit.py::TestList::test_mutable_list_append_loop_if, test/test_jit.py::TestList::test_mutable_list_clear, test/test_jit.py::TestList::test_mutable_list_clear_empty, test/test_jit.py::TestList::test_mutable_list_function_inline, test/test_jit.py::TestList::test_mutable_list_insert, test/test_jit.py::TestList::test_mutable_list_insert_neg_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_insert_negative, test/test_jit.py::TestList::test_mutable_list_insert_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_nested_loop, test/test_jit.py::TestList::test_mutable_list_pop, test/test_jit.py::TestList::test_mutable_list_pop2, test/test_jit.py::TestList::test_mutable_list_pop_at, test/test_jit.py::TestList::test_mutable_list_pop_at2, test/test_jit.py::TestList::test_mutable_list_pop_at_negative, test/test_jit.py::TestList::test_mutable_list_pop_at_negative2, test/test_jit.py::TestList::test_mutable_list_pop_empty, test/test_jit.py::TestList::test_mutable_list_pop_slice, test/test_jit.py::TestList::test_mutable_list_remove, test/test_jit.py::TestList::test_mutable_list_remove2, test/test_jit.py::TestList::test_mutable_list_remove_not_existing, test/test_jit.py::TestList::test_mutable_list_remove_tensor, test/test_jit.py::TestList::test_mutable_list_reverse, test/test_jit.py::TestList::test_mutable_list_reverse_empty, test/test_jit.py::TestList::test_mutable_tensor_list_reverse, test/test_jit.py::TestList::test_no_element_type_annotation, test/test_jit.py::TestList::test_slice_index, test/test_jit.py::TestList::test_tensor_list_count, test/test_jit.py::TestList::test_tensor_list_count_not_existing, test/test_jit.py::TestList::test_tensor_list_index, test/test_jit.py::TestList::test_tensor_list_index_not_existing, test/test_jit.py::TestList::test_to_list, test/test_jit.py::TestList::test_to_list_gpu, test/test_jit.py::TestDict::test_aug_assign, test/test_jit.py::TestDict::test_basic, test/test_jit.py::TestDict::test_clear, test/test_jit.py::TestDict::test_copy, test/test_jit.py::TestDict::test_del, test/test_jit.py::TestDict::test_dict_bool_conversion, test/test_jit.py::TestDict::test_dict_preserves_order, test/test_jit.py::TestDict::test_dict_to_python, test/test_jit.py::TestDict::test_dict_variance, test/test_jit.py::TestDict::test_get, test/test_jit.py::TestDict::test_get_boolkey, test/test_jit.py::TestDict::test_items, test/test_jit.py::TestDict::test_key_type, test/test_jit.py::TestDict::test_keys, test/test_jit.py::TestDict::test_len, test/test_jit.py::TestDict::test_loop, test/test_jit.py::TestDict::test_membership, test/test_jit.py::TestDict::test_mutability, test/test_jit.py::TestDict::test_optional_dict_construct, test/test_jit.py::TestDict::test_ordered_dict, test/test_jit.py::TestDict::test_pop, test/test_jit.py::TestDict::test_popitem, test/test_jit.py::TestDict::test_setdefault, test/test_jit.py::TestDict::test_type_annotation_missing_contained_type, test/test_jit.py::TestDict::test_update, test/test_jit.py::TestDict::test_update_existing_key, test/test_jit.py::TestDict::test_values, test/test_jit.py::TestDict::test_view, test/test_jit.py::TestNamedTuple::test_namedtuple, test/test_jit.py::TestNamedTuple::test_namedtuple_as_attr, test/test_jit.py::TestNamedTuple::test_namedtuple_constant, test/test_jit.py::TestNamedTuple::test_namedtuple_input_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_inside_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_kwarg_construct, test/test_jit.py::TestNamedTuple::test_namedtuple_lower, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_serialization, test/test_jit.py::TestNamedTuple::test_namedtuple_slice_unpack, test/test_jit.py::TestNamedTuple::test_namedtuple_type_annotation, test/test_jit.py::TestNamedTuple::test_namedtuple_wrong_types, test/test_jit.py::TestNamedTuple::test_return_named_tuple, test/test_jit.py::TestScriptDict::test_bool, test/test_jit.py::TestScriptDict::test_contains, test/test_jit.py::TestScriptDict::test_delitem, test/test_jit.py::TestScriptDict::test_getitem, test/test_jit.py::TestScriptDict::test_items, test/test_jit.py::TestScriptDict::test_iter, test/test_jit.py::TestScriptDict::test_len, test/test_jit.py::TestScriptDict::test_nested, test/test_jit.py::TestScriptDict::test_reference_semantics, test/test_jit.py::TestScriptDict::test_repr, test/test_jit.py::TestScriptDict::test_setitem, test/test_jit.py::TestScriptList::test_append, test/test_jit.py::TestScriptList::test_bool, test/test_jit.py::TestScriptList::test_clear, test/test_jit.py::TestScriptList::test_contains, test/test_jit.py::TestScriptList::test_count, test/test_jit.py::TestScriptList::test_defaultdict, test/test_jit.py::TestScriptList::test_delitem, test/test_jit.py::TestScriptList::test_extend, test/test_jit.py::TestScriptList::test_getitem, test/test_jit.py::TestScriptList::test_insert, test/test_jit.py::TestScriptList::test_iter, test/test_jit.py::TestScriptList::test_len, test/test_jit.py::TestScriptList::test_nested, test/test_jit.py::TestScriptList::test_pop, test/test_jit.py::TestScriptList::test_reference_semantics, test/test_jit.py::TestScriptList::test_remove, test/test_jit.py::TestScriptList::test_repr, test/test_jit.py::TestScriptList::test_setitem, test/test_jit.py::TestAsync::test_async_future_type_python, test/test_jit.py::TestAsync::test_async_grad_guard_no_grad, test/test_jit.py::TestAsync::test_async_grad_guard_with_grad, test/test_jit.py::TestAsync::test_async_kwargs, test/test_jit.py::TestAsync::test_async_parsing, test/test_jit.py::TestAsync::test_async_python, test/test_jit.py::TestAsync::test_async_script, test/test_jit.py::TestAsync::test_async_script_capture, test/test_jit.py::TestAsync::test_async_script_error, test/test_jit.py::TestAsync::test_async_script_multi_forks, test/test_jit.py::TestAsync::test_async_script_multi_waits, test/test_jit.py::TestAsync::test_async_script_nested, test/test_jit.py::TestAsync::test_async_script_no_script_mod, test/test_jit.py::TestAsync::test_async_script_trace, test/test_jit.py::TestAsync::test_future_subtyping, test/test_jit.py::TestAsync::test_no_future_subtype_message, test/test_jit.py::TestAsync::test_trace_fork_wait, test/test_jit.py::TestAsync::test_trace_fork_wait_inline, test/test_jit.py::TestAsync::test_trace_fork_wait_leaking, test/test_jit.py::TestAsync::test_trace_fork_wait_list_modulecalls, test/test_jit.py::TestAsync::test_trace_modulecalls_with_different_output_types, test/test_jit.py::TestAwait::test_await_class_arg, test/test_jit.py::TestAwait::test_await_class_return, test/test_jit.py::TestAwait::test_await_eager_lazy, test/test_jit.py::TestAwait::test_await_func_arg, test/test_jit.py::TestAwait::test_await_getattr_implicit_convertion, test/test_jit.py::TestAwait::test_await_isinstance, test/test_jit.py::TestAwait::test_await_multiout_save, test/test_jit.py::TestAwait::test_await_nested, test/test_jit.py::TestAwait::test_await_out_of_interpreter, test/test_jit.py::TestAwait::test_await_python, test/test_jit.py::TestAwait::test_await_type_python, test/test_jit.py::TestAwait::test_awaitable_to_await, test/test_jit.py::TestAwait::test_eager_await_non_scriptable, test/test_jit.py::TestAwait::test_jit_trace, test/test_jit.py::TestAwait::test_nowait, test/test_jit.py::TestAwait::test_nowait_class, test/test_jit.py::TestAwait::test_script, test/test_jit.py::TestDataParallel::test_python_submodule_script, test/test_jit.py::TestDataParallel::test_shared_module, test/test_jit.py::TestDataParallel::test_tensor_sharing, test/test_jit.py::TestDataParallel::test_tensor_sharing_with_forward, test/test_jit.py::TestDataParallel::test_traced_module, test/test_jit.py::TestModels::test_alexnet, test/test_jit.py::TestModels::test_dcgan_models, test/test_jit.py::TestModels::test_dcgan_models_cuda, test/test_jit.py::TestModels::test_mnist, test/test_jit.py::TestModels::test_mnist_cuda, test/test_jit.py::TestModels::test_mnist_training_leaks_no_memory_cuda, test/test_jit.py::TestModels::test_neural_style, test/test_jit.py::TestModels::test_neural_style_cuda, test/test_jit.py::TestModels::test_reinforcement_learning, test/test_jit.py::TestModels::test_reinforcement_learning_cuda, test/test_jit.py::TestModels::test_script_module_script_resnet, test/test_jit.py::TestModels::test_script_module_trace_resnet18, test/test_jit.py::TestModels::test_snli, test/test_jit.py::TestModels::test_snli_cuda, test/test_jit.py::TestModels::test_super_resolution, test/test_jit.py::TestModels::test_super_resolution_cuda, test/test_jit.py::TestModels::test_time_sequence_prediction, test/test_jit.py::TestModels::test_vae, test/test_jit.py::TestModels::test_vae_cuda, test/test_jit.py::TestModules::test_script_module_with_constants_list, test/test_jit.py::TestAutodiffJit::test_autodiff_requires_grad_nograd, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_profiled_twice, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_side_effects, test/test_jit.py::TestAutodiffJit::test_undefined_tensor_lists, test/test_jit.py::TestAutodiffSubgraphSlicing::test_aliased_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_arg, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_module_attr, test/test_jit.py::TestAutodiffSubgraphSlicing::test_chunk_constant_script_ad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_constructed_bias, test/test_jit.py::TestAutodiffSubgraphSlicing::test_diff_graph_inline_threshold, test/test_jit.py::TestAutodiffSubgraphSlicing::test_differentiable_graph_ops_requires_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_create_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_merge_unrelated, test/test_jit.py::TestAutodiffSubgraphSlicing::test_has_profiled_info_aliasing_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merge_respects_aliasing, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_dense, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_down, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_up, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_without_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_prune_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_requires_grad_for_tensor_list, test/test_jit.py::TestAutodiffSubgraphSlicing::test_respects_lexical_scoping, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_merge, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_no_merge, test/test_jit.py::TestCustomOperators::test_calling_scripted_custom_op, test/test_jit.py::TestCustomOperators::test_calling_traced_custom_op, test/test_jit.py::TestCustomOperators::test_default_arguments_are_used, test/test_jit.py::TestCustomOperators::test_dynamic_op_registry, test/test_jit.py::TestCustomOperators::test_generic_list, test/test_jit.py::TestCustomOperators::test_getting_invalid_attr, test/test_jit.py::TestCustomOperators::test_passing_and_returning_lists, test/test_jit.py::TestCustomOperators::test_passing_one_positional_but_not_the_second, test/test_jit.py::TestCustomOperators::test_passing_too_few_args, test/test_jit.py::TestCustomOperators::test_passing_too_many_args, test/test_jit.py::TestCustomOperators::test_passing_unknown_kwargs, test/test_jit.py::TestCustomOperators::test_script_graph_contains_custom_op, test/test_jit.py::TestCustomOperators::test_script_graph_for_custom_ops_matches_traced_graph, test/test_jit.py::TestCustomOperators::test_simply_calling_an_operator, test/test_jit.py::TestCustomOperators::test_where_no_scalar, test/test_jit.py::TestGraphRewritePasses::test_fuse_linear, test/test_jit.py::TestClassType::test_cast_overloads, test/test_jit.py::TestClassType::test_class_attribute_wrong_type, test/test_jit.py::TestClassType::test_class_constant, test/test_jit.py::TestClassType::test_class_constructs_itself, test/test_jit.py::TestClassType::test_class_inheritance, test/test_jit.py::TestClassType::test_class_inheritance_implicit, test/test_jit.py::TestClassType::test_class_sorting, test/test_jit.py::TestClassType::test_class_specialization, test/test_jit.py::TestClassType::test_class_type_as_param, test/test_jit.py::TestClassType::test_classmethod, test/test_jit.py::TestClassType::test_conditional_set_attr, test/test_jit.py::TestClassType::test_custom_delete, test/test_jit.py::TestClassType::test_default_args, test/test_jit.py::TestClassType::test_get_attr, test/test_jit.py::TestClassType::test_get_attr_not_initialized, test/test_jit.py::TestClassType::test_get_with_method, test/test_jit.py::TestClassType::test_imported_classes, test/test_jit.py::TestClassType::test_in, test/test_jit.py::TestClassType::test_init_compiled_first, test/test_jit.py::TestClassType::test_interface, test/test_jit.py::TestClassType::test_optional_type_promotion, test/test_jit.py::TestClassType::test_out_of_order_methods, test/test_jit.py::TestClassType::test_overloaded_fn, test/test_jit.py::TestClassType::test_properties, test/test_jit.py::TestClassType::test_py_class_to_ivalue_missing_attribute, test/test_jit.py::TestClassType::test_python_interop, test/test_jit.py::TestClassType::test_recursive_class, test/test_jit.py::TestClassType::test_recursive_script_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_script_module_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_scripting, test/test_jit.py::TestClassType::test_recursive_scripting_failed, test/test_jit.py::TestClassType::test_reference_semantics, test/test_jit.py::TestClassType::test_save_load_with_classes, test/test_jit.py::TestClassType::test_save_load_with_classes_nested, test/test_jit.py::TestClassType::test_save_load_with_classes_returned, test/test_jit.py::TestClassType::test_schema_human_readable, test/test_jit.py::TestClassType::test_self_referential_method, test/test_jit.py::TestClassType::test_set_attr_in_method, test/test_jit.py::TestClassType::test_set_attr_non_initialized, test/test_jit.py::TestClassType::test_set_attr_type_mismatch, test/test_jit.py::TestClassType::test_staticmethod, test/test_jit.py::TestClassType::test_type_annotation, test/test_jit.py::TestClassType::test_type_annotations, test/test_jit.py::TestClassType::test_unresolved_class_attributes, test/test_jit.py::TestClassType::test_unused_method, test/test_jit.py::TestBuiltins::test_del, test/test_jit.py::TestBuiltins::test_del_multiple_operands, test/test_jit.py::TestBuiltins::test_has_attr, test/test_jit.py::TestBuiltins::test_has_attr_invalid_args, test/test_jit.py::TestBuiltins::test_torch_check, test/test_jit.py::TestBuiltins::test_torch_check_invalid_args, test/test_jit.py::TestTensorBuiltins::test_method_on_number, test/test_jit.py::TestTensorBuiltins::test_scalar_to_num_conversions, test/test_jit.py::TestTensorBuiltins::test_tensor_item, test/test_jit.py::TestTensorBuiltins::test_tensor_properties, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign_device, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_inp_out, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_inp, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_out, test/test_jit.py::TestSymbolicShapeAnalysis::test_adaptive_avg_pool2d, test/test_jit.py::TestSymbolicShapeAnalysis::test_arange_shape, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_conv_deconv, test/test_jit.py::TestSymbolicShapeAnalysis::test_convolution_backward, test/test_jit.py::TestSymbolicShapeAnalysis::test_cross_entropy_loss, test/test_jit.py::TestSymbolicShapeAnalysis::test_if_propagation, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_graph_conv, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_refinement_through_graph_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_register_function_error_checking, test/test_jit.py::TestSymbolicShapeAnalysis::test_returning_input_symbolic_shapes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_analysis, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_embedding_bag, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_function_includes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shared_shape_graph, test/test_jit.py::TestSymbolicShapeAnalysis::test_size_and_sizes, test/test_jit.py::TestSymbolicShapeAnalysis::test_squeeze_dims, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_multi_output, test/test_jit.py::TestSymbolicShapeAnalysis::test_sym_ir_parsing, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_write, test/test_jit.py::TestOpDecompositions::test_op_decomposition, test/test_jit.py::TestOpDecompositions::test_registered_decomposition, test/test_jit.py::TestUnsupportedOps::test_factory_ops_requires_grad_fail, test/test_jit.py::TestUnsupportedOps::test_init_ops, test/test_jit.py::TestFreezing::test_freeze_interface_swapping_two_methods, test/test_jit.py::TestFreezing::test_freeze_interface_within_object, test/test_jit.py::TestFreezing::test_freeze_module, test/test_jit.py::TestFreezing::test_freeze_module_detach_gradient, test/test_jit.py::TestFreezing::test_freeze_module_in_training_mode, test/test_jit.py::TestFreezing::test_freeze_module_inlining, test/test_jit.py::TestFreezing::test_freeze_module_no_forward, test/test_jit.py::TestFreezing::test_freeze_module_return_self, test/test_jit.py::TestFreezing::test_freeze_module_return_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr4, test/test_jit.py::TestFreezing::test_freeze_module_with_call_method, test/test_jit.py::TestFreezing::test_freeze_module_with_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_fork2, test/test_jit.py::TestFreezing::test_freeze_module_with_fork_calling_module_method, test/test_jit.py::TestFreezing::test_freeze_module_with_helperfunction, test/test_jit.py::TestFreezing::test_freeze_module_with_inplace_mutable, test/test_jit.py::TestFreezing::test_freeze_module_with_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_dict, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_nested_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasing, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasingscalar, test/test_jit.py::TestFreezing::test_freeze_module_with_non_static_module_container_index, test/test_jit.py::TestFreezing::test_freeze_module_with_overlapping_attrs, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module_and_mutation, test/test_jit.py::TestFreezing::test_freeze_module_with_sharedclasstype, test/test_jit.py::TestFreezing::test_freeze_module_with_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_tuple, test/test_jit.py::TestFreezing::test_freeze_module_with_tupleoutput_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_unused_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method2, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method_on_submodule, test/test_jit.py::TestFreezing::test_freeze_no_forward, test/test_jit.py::TestFreezing::test_freeze_non_interface_module_swap, test/test_jit.py::TestFreezing::test_freeze_non_module_class_getattr, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_same_name, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_with_reassignment, test/test_jit.py::TestFreezing::test_freeze_with_interface_mutable, test/test_jit.py::TestFreezing::test_freeze_with_swapping_interfaces, test/test_jit.py::TestFreezing::test_module_getattr_indirection, test/test_jit.py::TestFreezing::test_module_with_shared_type_instances, test/test_jit.py::TestFrozenOptimizations::test_bn_not_broadcast_with_linear, test/test_jit.py::TestFrozenOptimizations::test_collapse_adjacent_conversions, test/test_jit.py::TestFrozenOptimizations::test_conv_add_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_not_forward, test/test_jit.py::TestFrozenOptimizations::test_conv_hardswish, test/test_jit.py::TestFrozenOptimizations::test_conv_mul_add_bn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn_no_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion_not_forward, test/test_jit.py::TestFrozenOptimizations::test_freeze_mkdlnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_dropout, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_feature_dropout, test/test_jit.py::TestFrozenOptimizations::test_hardswish_hardsigmoid, test/test_jit.py::TestFrozenOptimizations::test_incompatible_perf_formats, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_linear_concat, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_complex, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_different_input, test/test_jit.py::TestFrozenOptimizations::test_linear_multiple_blocks, test/test_jit.py::TestFrozenOptimizations::test_linear_non_constant_weight, test/test_jit.py::TestFrozenOptimizations::test_linear_transpose, test/test_jit.py::TestFrozenOptimizations::test_maxpool_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_fuser_broadcasting, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_inplace_removal, test/test_jit.py::TestFrozenOptimizations::test_numel_less_than_size_with_padding, test/test_jit.py::TestFrozenOptimizations::test_optimize_freeze_module, test/test_jit.py::TestFrozenOptimizations::test_pool2d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_pool3d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_remove_detach, test/test_jit.py::TestFrozenOptimizations::test_remove_detach_not_applied, test/test_jit.py::TestFrozenOptimizations::test_scalar_mul, test/test_jit.py::TestMKLDNNReinplacing::test_always_alive_values, test/test_jit.py::TestMKLDNNReinplacing::test_merge_liveness, test/test_jit.py::TestMKLDNNReinplacing::test_successful, test/test_jit.py::TestMKLDNNReinplacing::test_switch_inputs_to_inplace, test/test_jit.py::TestPeephole::test_conv_dim_folding, test/test_jit.py::TestPeephole::test_integer_refinement, test/test_jit.py::TestPeephole::test_noop_peephole, test/test_jit.py::TestPeephole::test_normalized_is_op, test/test_jit.py::TestPeephole::test_normalized_isnot_op, test/test_jit.py::TestPeephole::test_normalized_rsub, test/test_jit.py::TestPeephole::test_optimize_out_comparison_same_value, test/test_jit.py::TestPeephole::test_peephole, test/test_jit.py::TestPeephole::test_peephole_add_zero, test/test_jit.py::TestPeephole::test_peephole_arith, test/test_jit.py::TestPeephole::test_peephole_cuda, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_dict_modified, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_get_input_arg, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_missing_key, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_simple, test/test_jit.py::TestPeephole::test_peephole_dict_len, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dynamic, test/test_jit.py::TestPeephole::test_peephole_int, test/test_jit.py::TestPeephole::test_peephole_len_list, test/test_jit.py::TestPeephole::test_peephole_list_len, test/test_jit.py::TestPeephole::test_peephole_list_ops, test/test_jit.py::TestPeephole::test_peephole_no_output_aliasing, test/test_jit.py::TestPeephole::test_peephole_optional_refine, test/test_jit.py::TestPeephole::test_peephole_slice_all_three_args, test/test_jit.py::TestPeephole::test_peephole_slice_one_empty_arg, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_list_modified, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_non_const_args, test/test_jit.py::TestPeephole::test_peephole_slice_two_empty_args, test/test_jit.py::TestPeephole::test_peephole_type_refinements, test/test_jit.py::TestPeephole::test_peephole_with_non_output_writes, test/test_jit.py::TestPeephole::test_peephole_with_writes, test/test_jit.py::TestPeephole::test_refine_integer_values, test/test_jit.py::TestPeephole::test_short_circuit_optimization, test/test_jit.py::TestAliasAnalysis::test_becomes_wildcard_annotations, test/test_jit.py::TestAliasAnalysis::test_multiple_compilation_units, test/test_jit.py::TestAliasAnalysis::test_nested_list_construct_not_wildcard, test/test_jit.py::TestAliasAnalysis::test_recursive_calls, test/test_jit.py::TestSaveLoad::test_different_functions, test/test_jit.py::TestSaveLoad::test_different_interfaces, test/test_jit.py::TestSaveLoad::test_different_modules, test/test_jit.py::TestSaveLoad::test_many_collisions, test/test_jit.py::TestSaveLoad::test_save_load_large_string_attribute, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors_to_device, test/test_jit.py::TestSaveLoad::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoad::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoad::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoad::test_save_load_with_saved_traced_inputs, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only_forwardref, test/test_jit.py::TestSaveLoad::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoad::test_save_nonexit_file, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_functions, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_interfaces, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_modules, test/test_jit.py::TestSaveLoadFlatbuffer::test_many_collisions, test/test_jit.py::TestSaveLoadFlatbuffer::test_module_info_flatbuffer, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_reciprocal, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace_out, test/test_jit.py::TestModuleContainers::test_custom_container_forward, test/test_jit.py::TestModuleContainers::test_empty_dict_override_contains, test/test_jit.py::TestModuleContainers::test_module_inplace_construct, test/test_jit.py::TestModuleContainers::test_module_interface_special_methods, test/test_jit.py::TestModuleContainers::test_module_properties, test/test_jit.py::TestModuleContainers::test_moduledict, test/test_jit.py::TestModuleContainers::test_moduledict_getitem, test/test_jit.py::TestModuleContainers::test_moduledict_keyerror, test/test_jit.py::TestModuleContainers::test_normal_list_attribute_with_modules_error, test/test_jit.py::TestModuleContainers::test_parameterdict_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_iter, test/test_jit.py::TestModuleContainers::test_script_module_list_sequential, test/test_jit.py::TestModuleContainers::test_script_modulelist_index, test/test_jit.py::TestModuleContainers::test_sequential_intermediary_types, test/test_jit.py::TestModuleContainers::test_special_method_with_override, test/test_jit.py::TestModuleContainers::test_typed_module_dict, test/test_jit.py::TestModuleContainers::test_typed_module_list, test/test_jit.py::TestPythonBindings::test_add_input, test/test_jit.py::TestPythonBindings::test_aliasdb, test/test_jit.py::TestPythonBindings::test_canonicalize, test/test_jit.py::TestPythonBindings::test_cu_create_function, test/test_jit.py::TestPythonBindings::test_cu_get_functions, test/test_jit.py::TestPythonBindings::test_graph_create, test/test_jit.py::TestPythonBindings::test_graph_iterator_keepalive, test/test_jit.py::TestPythonBindings::test_invalidation, test/test_jit.py::TestPythonIr::test_param_strides, test/test_jit.py::TestPythonIr::test_permute_inputs_binding, test/test_jit.py::TestPythonIr::test_python_ir_utils, test/test_jit.py::TestPythonIr::test_python_ir_utils_graph, test/test_jit.py::TestFunctionalBlocks::test_subgraph_creation, test/test_jit.py::TestRemoveMutation::test_aten_inplace, test/test_jit.py::TestRemoveMutation::test_common_pytorch_list_ops, test/test_jit.py::TestRemoveMutation::test_if_output, test/test_jit.py::TestRemoveMutation::test_if_output_fail, test/test_jit.py::TestRemoveMutation::test_list_indexing_removal, test/test_jit.py::TestRemoveMutation::test_lists_append, test/test_jit.py::TestRemoveMutation::test_lists_insert, test/test_jit.py::TestRemoveMutation::test_special_mapped_op, test/test_jit.py::TestTorchbind::test_default_args, test/test_jit.py::TestTorchbind::test_hasattr, test/test_jit.py::TestTorchbind::test_lambda_as_constructor, test/test_jit.py::TestTorchbind::test_profiler_custom_op, test/test_jit.py::TestTorchbind::test_staticmethod, test/test_jit.py::TestTorchbind::test_torchbind, test/test_jit.py::TestTorchbind::test_torchbind_attr_exception, test/test_jit.py::TestTorchbind::test_torchbind_class_attr_recursive, test/test_jit.py::TestTorchbind::test_torchbind_class_attribute, test/test_jit.py::TestTorchbind::test_torchbind_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_def_property_getter_setter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_just_getter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_readwrite, test/test_jit.py::TestTorchbind::test_torchbind_getattr, test/test_jit.py::TestTorchbind::test_torchbind_getstate, test/test_jit.py::TestTorchbind::test_torchbind_instantiate_missing_class, test/test_jit.py::TestTorchbind::test_torchbind_lambda_method, test/test_jit.py::TestTorchbind::test_torchbind_no_init, test/test_jit.py::TestTorchbind::test_torchbind_optional_explicit_attr, test/test_jit.py::TestTorchbind::test_torchbind_pass_wrong_type, test/test_jit.py::TestTorchbind::test_torchbind_pickle_serialization, test/test_jit.py::TestTorchbind::test_torchbind_python_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_return_instance, test/test_jit.py::TestTorchbind::test_torchbind_return_instance_from_method, test/test_jit.py::TestTorchbind::test_torchbind_return_tuple, test/test_jit.py::TestTorchbind::test_torchbind_save_load, test/test_jit.py::TestTorchbind::test_torchbind_take_as_arg, test/test_jit.py::TestTorchbind::test_torchbind_take_instance_as_method_arg, test/test_jit.py::TestTorchbind::test_torchbind_tracing, test/test_jit.py::TestTorchbind::test_torchbind_tracing_nested, test/test_jit.py::TestModuleInterface::test_freeze_module_with_inplace_mutation_in_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface_and_fork, test/test_jit.py::TestModuleInterface::test_freeze_module_with_mutated_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_setattr_in_interface, test/test_jit.py::TestModuleInterface::test_module_apis_interface, test/test_jit.py::TestModuleInterface::test_module_doc_string, test/test_jit.py::TestModuleInterface::test_module_interface, test/test_jit.py::TestModuleInterface::test_module_interface_inheritance, test/test_jit.py::TestModuleInterface::test_module_interface_subtype, test/test_jit.py::TestModuleInterface::test_module_swap, test/test_jit.py::TestModuleInterface::test_module_swap_no_lazy_compile, test/test_jit.py::TestModuleInterface::test_module_swap_no_module_interface, test/test_jit.py::TestModuleInterface::test_module_swap_wrong_module, test/test_jit.py::TestModuleInterface::test_not_submodule_interface_call, test/test_jit.py::TestModuleInterface::test_script_module_as_interface_swap, test/test_jit.py::TestWith::test_with_as, test/test_jit.py::TestWith::test_with_errors, test/test_jit.py::TestWith::test_with_exceptions, test/test_jit.py::TestWith::test_with_no_as, test/test_jit.py::TestWith::test_with_no_grad, test/test_jit.py::TestWith::test_with_record_function, test/test_jit.py::TestEnum::test_closed_over_enum_constant, test/test_jit.py::TestEnum::test_enum_as_const, test/test_jit.py::TestEnum::test_enum_as_module_attribute, test/test_jit.py::TestEnum::test_enum_comp, test/test_jit.py::TestEnum::test_enum_comp_diff_classes, test/test_jit.py::TestEnum::test_enum_explicit_script, test/test_jit.py::TestEnum::test_enum_iterate, test/test_jit.py::TestEnum::test_enum_ivalue_type, test/test_jit.py::TestEnum::test_enum_module_return, test/test_jit.py::TestEnum::test_enum_name, test/test_jit.py::TestEnum::test_enum_return, test/test_jit.py::TestEnum::test_enum_value, test/test_jit.py::TestEnum::test_enum_value_types, test/test_jit.py::TestEnum::test_heterogenous_value_type_enum_error, test/test_jit.py::TestEnum::test_non_existent_enum_value, test/test_jit.py::TestEnum::test_string_enum_as_module_attribute, test/test_jit.py::TestEnum::test_typed_enum, test/test_jit.py::TestStringFormatting::test_modulo_operator, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_alternate_digit_placeholder, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_char_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_true_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_double_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_exponent_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_float_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_multiple_placeholders, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_format_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_subscript, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_few_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_many_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_unknown_format_specifier, test/test_jit.py::TestProfiler::test_aliasing_merge, test/test_jit.py::TestProfiler::test_autograd_fallback_graph, test/test_jit.py::TestProfiler::test_fallback_graph_not_specialized, test/test_jit.py::TestProfiler::test_iterative_fusion, test/test_jit.py::TestProfiler::test_local_fusion_strategy, test/test_jit.py::TestProfiler::test_not_fusing_scalar_ops, test/test_jit.py::TestProfiler::test_not_optimizing_property, test/test_jit.py::TestProfiler::test_specialize_backward, test/test_jit.py::TestProfiler::test_specialized_types, test/test_jit.py::TestProfiler::test_tensor_constant, test/test_jit.py::TestProfiler::test_tensor_type_not_determined_by_inputs, test/test_jit.py::TestProfiler::test_use_not_profiled, test/test_jit.py::TestSlice::test_module_list_slicing, test/test_jit.py::TestSlice::test_slice_as_variable, test/test_jit.py::TestSlice::test_slice_dynamic_index, test/test_jit.py::TestSlice::test_slice_kwarg, test/test_jit.py::TestSlice::test_slice_one_none, test/test_jit.py::TestSlice::test_slice_start_stop, test/test_jit.py::TestSlice::test_slice_start_stop_step, test/test_jit.py::TestSlice::test_slice_start_stop_with_none, test/test_jit.py::TestSlice::test_slice_stop_clipped, test/test_jit.py::TestSlice::test_slice_stop_only, test/test_jit.py::TestSlice::test_slice_stop_only_with_nones, test/test_jit.py::TestSlice::test_slice_string, test/test_jit.py::TestSlice::test_slice_tensor, test/test_jit.py::TestSlice::test_slice_tensor_multidim, test/test_jit.py::TestSlice::test_slice_tensor_multidim_with_dots, test/test_jit.py::TestSlice::test_slice_three_nones, test/test_jit.py::TestSlice::test_slice_two_nones, test/test_jit.py::TestSlice::test_tuple_slicing, test/test_jit.py::TestIgnorableArgs::test_add_out_ignorable_args, test/test_jit.py::TestIgnorableArgs::test_slice_ignorable_args_for_slice, test/test_jit.py::TestHooks::test_forward_tuple_input, test/test_jit.py::TestHooks::test_hook_compilation_hint, test/test_jit.py::TestHooks::test_hook_hook_name_collision, test/test_jit.py::TestHooks::test_hook_method_name_collision, test/test_jit.py::TestHooks::test_module_direct_forward_invocation, test/test_jit.py::TestHooks::test_module_forward_multiple_inputs, test/test_jit.py::TestHooks::test_module_forward_single_input, test/test_jit.py::TestHooks::test_module_hook_return_nothing, test/test_jit.py::TestHooks::test_module_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_module_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_module_no_forward_input, test/test_jit.py::TestHooks::test_module_same_hook_repeated, test/test_jit.py::TestHooks::test_submodule_called_directly_with_hooks, test/test_jit.py::TestHooks::test_submodule_direct_forward_invocation, test/test_jit.py::TestHooks::test_submodule_forward_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_forward_single_input, test/test_jit.py::TestHooks::test_submodule_forward_single_input_return_not_tupled, test/test_jit.py::TestHooks::test_submodule_hook_return_nothing, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_submodule_no_forward_input, test/test_jit.py::TestHooks::test_submodule_same_hook_repeated, test/test_jit.py::TestHooks::test_wrong_hook_signatures, test/test_jit.py::TestHooks::test_wrong_pre_hook_signatures, test/test_jit.py::TestWarn::test_warn, test/test_jit.py::TestWarn::test_warn_multiple_calls_multiple_warnings, test/test_jit.py::TestWarn::test_warn_multiple_calls_same_func_diff_stack, test/test_jit.py::TestWarn::test_warn_once_per_func, test/test_jit.py::TestWarn::test_warn_once_per_func_in_loop, test/test_jit.py::TestWarn::test_warn_only_once, test/test_jit.py::TestWarn::test_warn_only_once_in_loop_func, test/test_jit.py::TestIsinstance::test_bool, test/test_jit.py::TestIsinstance::test_dict, test/test_jit.py::TestIsinstance::test_dict_nested, test/test_jit.py::TestIsinstance::test_dict_no_contained_type, test/test_jit.py::TestIsinstance::test_dict_tensor, test/test_jit.py::TestIsinstance::test_empty_container_special_cases, test/test_jit.py::TestIsinstance::test_empty_container_throws_warning_in_eager, test/test_jit.py::TestIsinstance::test_float, test/test_jit.py::TestIsinstance::test_if_else, test/test_jit.py::TestIsinstance::test_in_if, test/test_jit.py::TestIsinstance::test_in_while_loop, test/test_jit.py::TestIsinstance::test_int, test/test_jit.py::TestIsinstance::test_list, test/test_jit.py::TestIsinstance::test_list_nested, test/test_jit.py::TestIsinstance::test_list_no_contained_type, test/test_jit.py::TestIsinstance::test_list_tensor, test/test_jit.py::TestIsinstance::test_list_tensor_type_true, test/test_jit.py::TestIsinstance::test_nontuple_container_rhs_throws_in_eager, test/test_jit.py::TestIsinstance::test_optional, test/test_jit.py::TestIsinstance::test_optional_nested, test/test_jit.py::TestIsinstance::test_optional_no_contained_type, test/test_jit.py::TestIsinstance::test_optional_none, test/test_jit.py::TestIsinstance::test_tensor_type_false, test/test_jit.py::TestIsinstance::test_tuple, test/test_jit.py::TestIsinstance::test_tuple_nested, test/test_jit.py::TestIsinstance::test_tuple_no_contained_type, test/test_jit.py::TestIsinstance::test_tuple_rhs, test/test_jit.py::TestIsinstance::test_tuple_tensor, test/test_jit.py::TestIsinstance::test_type_refinement, test/test_jit.py::TestPythonBuiltinOP::test_add, test/test_jit.py::TestPythonBuiltinOP::test_adv_indexing_list, test/test_jit.py::TestPythonBuiltinOP::test_advancedindex, test/test_jit.py::TestPythonBuiltinOP::test_gather, test/test_jit.py::TestPythonBuiltinOP::test_index, test/test_jit.py::TestPythonBuiltinOP::test_index_ellipses, test/test_jit.py::TestPythonBuiltinOP::test_inf, test/test_jit.py::TestPythonBuiltinOP::test_matmul_py3, test/test_jit.py::TestPythonBuiltinOP::test_mul, test/test_jit.py::TestPythonBuiltinOP::test_pow, test/test_jit.py::TestPythonBuiltinOP::test_random, test/test_jit.py::TestPythonBuiltinOP::test_slice, test/test_jit.py::TestPythonBuiltinOP::test_stepped_tuple_slicing, test/test_jit.py::TestPythonBuiltinOP::test_str_to_float, test/test_jit.py::TestPythonBuiltinOP::test_triple, test/test_jit.py::TestTyping::test_bool_list_io, test/test_jit.py::TestTyping::test_dict_comprehension, test/test_jit.py::TestTyping::test_dict_comprehension_scope, test/test_jit.py::TestTyping::test_dict_comprehension_with_type_annotation, test/test_jit.py::TestTyping::test_dict_in_not_in, test/test_jit.py::TestTyping::test_dict_invalid_annotations, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_key_mismatch, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_value_mismatch, test/test_jit.py::TestTyping::test_for_in_dict, test/test_jit.py::TestTyping::test_for_in_string, test/test_jit.py::TestTyping::test_for_tuple_assign, test/test_jit.py::TestTyping::test_for_tuple_unpack, test/test_jit.py::TestTyping::test_inherited_annotations_python_310, test/test_jit.py::TestTyping::test_list_io, test/test_jit.py::TestTyping::test_list_iterables, test/test_jit.py::TestTyping::test_list_sum, test/test_jit.py::TestTyping::test_list_type_refinement_annotation_element_mismatch, test/test_jit.py::TestTyping::test_list_unification, test/test_jit.py::TestTyping::test_multiple_assign, test/test_jit.py::TestTyping::test_namedtuple_error_source_attribution, test/test_jit.py::TestTyping::test_namedtuple_good_error, test/test_jit.py::TestTyping::test_namedtuple_py2, test/test_jit.py::TestTyping::test_namedtuple_redefine, test/test_jit.py::TestTyping::test_nested_list, test/test_jit.py::TestTyping::test_opt_opt_refinement, test/test_jit.py::TestTyping::test_optional_conversion, test/test_jit.py::TestTyping::test_optional_refinement, test/test_jit.py::TestTyping::test_optional_tuple, test/test_jit.py::TestTyping::test_singleton_tuple_unpack, test/test_jit.py::TestTyping::test_sum_list_diff_elms, test/test_jit.py::TestTyping::test_sum_list_empty, test/test_jit.py::TestTyping::test_sum_list_literal, test/test_jit.py::TestTyping::test_sum_list_one, test/test_jit.py::TestTyping::test_sum_list_wrong_type, test/test_jit.py::TestTyping::test_tuple_assignments, test/test_jit.py::TestTyping::test_tuple_create_return, test/test_jit.py::TestTyping::test_tuple_io, test/test_jit.py::TestTyping::test_tuple_keyword, test/test_jit.py::TestTyping::test_tuple_specialization, test/test_jit.py::TestHash::test_hash_bool, test/test_jit.py::TestHash::test_hash_device, test/test_jit.py::TestHash::test_hash_float, test/test_jit.py::TestHash::test_hash_int, test/test_jit.py::TestHash::test_hash_none, test/test_jit.py::TestHash::test_hash_string, test/test_jit.py::TestHash::test_hash_tensor, test/test_jit.py::TestHash::test_hash_tuple, test/test_jit.py::TestHash::test_hash_tuple_nested_unhashable_type, test/test_jit.py::TestComplex::test_binary_op_complex_tensor, test/test_jit.py::TestComplex::test_comparison_ops, test/test_jit.py::TestComplex::test_complex_constants_and_ops, test/test_jit.py::TestComplex::test_complex_constructor, test/test_jit.py::TestComplex::test_complex_list_sum, test/test_jit.py::TestComplex::test_complex_parse, test/test_jit.py::TestComplex::test_complexdict, test/test_jit.py::TestComplex::test_complexlist, test/test_jit.py::TestComplex::test_div, test/test_jit.py::TestComplex::test_infj_nanj_pickle, test/test_jit.py::TestComplex::test_pickle, test/test_jit.py::TestComplex::test_script, test/test_jit.py::TestComplex::test_tensor_attributes, test/test_jit.py::TestComplex::test_torch_complex_constructor_with_tensor, test/test_jit.py::TestJitUtils::test_checkscriptassertraisesregex, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_hybrid, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_keyword_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_or_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_positional, test/test_jit.py::TestJitUtils::test_no_tracer_warn_context_manager, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_and_init_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_only, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_jit_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_tensor, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_falsy_base_type, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_nonempty_container, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_attribute, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_torch_jit_import, test/test_jit.py::TestTypesAndAnnotation::test_annotate_outside_init, test/test_jit.py::TestTypesAndAnnotation::test_bad_types, test/test_jit.py::TestTypesAndAnnotation::test_ignore_with_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_fn_with_nonscriptable_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_module_attributes, test/test_jit.py::TestTypesAndAnnotation::test_inferred_type_error_message, test/test_jit.py::TestTypesAndAnnotation::test_mismatched_annotation, test/test_jit.py::TestTypesAndAnnotation::test_optional_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_parser_bug, test/test_jit.py::TestTypesAndAnnotation::test_pep585_type, test/test_jit.py::TestTypesAndAnnotation::test_python_callable, test/test_jit.py::TestTypesAndAnnotation::test_reannotate, test/test_jit.py::TestTypesAndAnnotation::test_tuple_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_type_annotate_py3, test/test_jit.py::TestTypesAndAnnotation::test_types_as_values, test/test_jit.py::TestTypesAndAnnotation::test_unimported_type_resolution, test/test_jit.py::TestMisc::test_broadcasting_list, test/test_jit.py::TestMisc::test_export_opnames_interface, test/test_jit.py::TestMisc::test_future_isinstance, test/test_jit.py::TestMisc::test_hacked_twin, test/test_jit.py::TestMisc::test_if_returning_any, test/test_jit.py::TestMisc::test_jit_get_operation_order, test/test_jit.py::TestMisc::test_joined_str, test/test_jit.py::TestMisc::test_kwarg_support, test/test_jit.py::TestMisc::test_legacy_tensor_constructor, test/test_jit.py::TestMisc::test_list_literal_infer, test/test_jit.py::TestMisc::test_math_inf, test/test_jit.py::TestMisc::test_parse_ir_annotate, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_negative, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_positive, test/test_jit.py::TestMisc::test_pow_multiple_dtype, test/test_jit.py::TestMisc::test_script_many_decorators, test/test_jit.py::TestMisc::test_str_refine_any, test/test_jit.py::TestMisc::test_subexpression_Dict_int_Future, test/test_jit.py::TestMisc::test_subexpression_Future_annotate, test/test_jit.py::TestMisc::test_subexpression_List_Future, test/test_jit.py::TestMisc::test_subexpression_Optional, test/test_jit.py::TestMisc::test_subexpression_Tuple_int_int_Future, test/test_jit.py::TestMisc::test_tuple_subscripted_assign, test/test_jit.py::TestMisc::test_unsafe_hacked_twin, test/test_jit.py::TestUpgraders::test_add_value_to_version_map, test/test_jit.py::TestUpgraders::test_aten_div_scalar_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_out_at_3, test/test_jit.py::TestUpgraders::test_aten_full_at_4, test/test_jit.py::TestUpgraders::test_aten_full_other_variants, test/test_jit.py::TestUpgraders::test_aten_full_out_at_4, test/test_jit.py::TestUpgraders::test_aten_linspace, test/test_jit.py::TestUpgraders::test_aten_linspace_out, test/test_jit.py::TestUpgraders::test_aten_logspace, test/test_jit.py::TestUpgraders::test_aten_logspace_out, test/test_jit.py::TestUpgraders::test_aten_test_serialization, test/test_jit.py::TestUpgraders::test_populated_test_upgrader_graph, test/test_jit.py::TestUpgraders::test_populated_upgrader_graph, test/test_jit.py::TestTensorCreationOps::test_randperm_default_dtype, test/test_jit.py::TestTensorCreationOps::test_randperm_specifed_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_specified_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_specified_dtype, test/test_jit.py::TestModuleAPIs::test_customized_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_default_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_submodule_customized_state_dict_methods, test/test_jit.py::TestScriptProfile::test_basic, test/test_jit.py::TestScriptProfile::test_empty, test/test_jit.py::TestScriptProfile::test_multi, test/test_jit.py::TestScriptProfile::test_script, test/test_jit.py::TestScriptProfile::test_section, test/test_jit.py::TestFunctionalToInplaceActivation::test_check_no_type_promotion, test/test_jit.py::TestFunctionalToInplaceActivation::test_functional_to_inplace_activation, test/test_jit.py::TestFunctionalToInplaceActivation::test_no_functional_to_inplace, test/test_jit.py::TestFunctionalToInplaceActivation::test_resnet18_correctness, test/test_jit.py::TestInplaceToFunctionalActivation::test_inplace_to_functional_activation, test/test_jit.py::TestInplaceToFunctionalActivation::test_resnet18_correctness, test/test_jit.py::TestParametrization::test_scriptable, test/test_jit.py::TestParametrization::test_traceable, test/test_jit.py::TestGetDefaultAttr::test_getattr_named_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_with_default, test/test_jit.py::TestAtenPow::test_aten_pow_zero_negative_exponent, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_1, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_2, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_3, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_4, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_before_inline_and_conv_2d_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_replace_conv1d_with_conv2d, test/test_jit.py::TestUnion::test_check_union_annotation, test/test_jit.py::TestUnion::test_union_T_None_is_equivalent_to_optional_T, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored_container, test/test_jit.py::TestUnion::test_union_as_annotation, test/test_jit.py::TestUnion::test_union_as_annotation_in_typed_container, test/test_jit.py::TestUnion::test_union_as_annotation_py2, test/test_jit.py::TestUnion::test_union_as_dict_key, test/test_jit.py::TestUnion::test_union_as_dict_value, test/test_jit.py::TestUnion::test_union_as_internal_tuple_type, test/test_jit.py::TestUnion::test_union_branching_does_not_autoinfer_undeclared_union, test/test_jit.py::TestUnion::test_union_branching_does_not_widen_existing_inferred_type, test/test_jit.py::TestUnion::test_union_branching_with_union_return_and_homogenous_types, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type_empty_container, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type_union, test/test_jit.py::TestUnion::test_union_in_class_constructor, test/test_jit.py::TestUnion::test_union_memory_aliasing, test/test_jit.py::TestUnion::test_union_module_with_union_class_variable, test/test_jit.py::TestUnion::test_union_module_with_union_instance_variable, test/test_jit.py::TestUnion::test_union_optional_of_union_is_flattened, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_container, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_optional, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_subtyping, test/test_jit.py::TestUnion::test_union_return_type, test/test_jit.py::TestUnion::test_union_schema_matching_on_internal_type, test/test_jit.py::TestUnion::test_union_serialization_preserves_type_annotations, test/test_jit.py::TestUnion::test_union_subclasses_larger_union, test/test_jit.py::TestUnion::test_union_subtractive_refinement, test/test_jit.py::TestUnion::test_union_subtractive_refinement_with_container, test/test_jit.py::TestUnion::test_union_type_refinement, test/test_jit.py::TestUnion::test_union_type_refinement_internal_declaration, test/test_jit.py::TestUnion::test_union_type_refinement_partial_static_refinement_tuple_rhs, test/test_jit.py::TestUnion::test_union_type_refinement_partial_static_refinement_union_rhs, test/test_jit.py::TestUnion::test_union_type_refinement_statically_false, test/test_jit.py::TestUnion::test_union_type_refinement_statically_true, test/test_jit.py::TestUnion::test_union_type_refinement_tuple_rhs, test/test_jit.py::TestUnion::test_union_type_refinement_tuple_rhs_noncontained_type, test/test_jit.py::TestUnion::test_union_type_refinement_tuple_rhs_union, test/test_jit.py::TestUnion::test_union_type_refinement_union_rhs, test/test_jit.py::TestUnion::test_union_variable_can_be_reassigned, test/test_jit.py::TestUnion::test_union_with_collections, test/test_jit.py::TestUnion::test_union_with_dict_assignment, test/test_jit.py::TestUnion::test_union_with_enum, test/test_jit.py::TestUnion::test_union_with_list_assignment, test/test_jit.py::TestUnion::test_union_with_scalar_values, test/test_jit.py::TestUnion::test_unions_of_a_single_argument_vanish, test/test_jit.py::TestUnion::test_unions_of_unions_are_flattened, test/test_jit.py::TestBatchMM::test_batch_mm_no_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_permitted_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation_if_node, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation_multiple_adds, test/test_jit.py::TestBatchMM::test_batch_mm_side_permitted_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_side_prohibited_mutation_common_side, test/test_jit.py::TestBatchMM::test_batch_mm_side_prohibited_mutation_uncommon_side, test/test_jit.py::TestDtypeAnalysis::test_binary_scalar, test/test_jit.py::TestDtypeAnalysis::test_binary_tensors, test/test_jit.py::TestDtypeAnalysis::test_combined, test/test_jit.py::TestDtypeAnalysis::test_conv_no_mixed_args, test/test_jit.py::TestDtypeAnalysis::test_custom_rules, test/test_jit.py::TestDtypeAnalysis::test_unary, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool1d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_avg_pool3d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_batch_norm_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_batch_norm_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_batch_norm_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_batch_norm_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_complex128, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_complex64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv1d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_complex128, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_complex64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_complex128, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_complex64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_hardswish_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_hardswish_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_hardswish_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_hardswish_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_int16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_int32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_int8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool2d_cpu_uint8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_int16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_int32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_int8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_max_pool3d_cpu_uint8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_prelu_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_prelu_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_prelu_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_prelu_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool1d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_avg_pool3d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_batch_norm_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_batch_norm_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_batch_norm_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_batch_norm_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_complex128, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_complex64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv1d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_complex128, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_complex64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_complex128, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_complex64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_conv_transpose2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_hardswish_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_hardswish_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_hardswish_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_hardswish_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_int16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_int32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_int8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool2d_cpu_uint8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_uint8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_float64, test/test_jit.py::TestDeviceAnalysis::test_custom_device_op, test/test_jit.py::TestDeviceAnalysis::test_device_apply, test/test_jit.py::TestDeviceAnalysis::test_device_arg, test/test_jit.py::TestDeviceAnalysis::test_device_if_propagation, test/test_jit.py::TestDeviceAnalysis::test_if_loop_mix, test/test_jit.py::TestDeviceAnalysis::test_loop_device_change, test/test_jit.py::TestDeviceAnalysis::test_loop_simple, test/test_jit.py::TestDeviceAnalysis::test_mobilenet, test/test_jit.py::TestDeviceAnalysis::test_nested_loops, test/test_jit.py::TestDeviceAnalysis::test_set_dtype, test/test_jit.py::TestDeviceAnalysis::test_simple, test/test_jit.py::TestDeviceAnalysis::test_tensor_as_fns, test/test_jit.py::TestDeviceAnalysis::test_while_change, test/test_jit.py::TestDeviceAnalysis::test_zerodim_cpu, test/test_jit.py::TestDeviceAnalysis::test_zerodim_gpu, test/test_jit.py::TestDeviceAnalysis::test_zerodim_no_device, test/test_jit.py::TestDCE::test_mutated_loop, test/test_jit.py::TestDCE::test_mutated_simple, test/test_jit.py::TestDCE::test_setattr_no_aliasdb, test/test_jit.py::TestDCE::test_setattr_removed, test/test_jit.py::TestSparse::test_freeze_sparse_coo, test/test_jit.py::TestSparse::test_freeze_sparse_csr, test/test_jit.py::TestSparse::test_serialize_sparse_coo, test/test_jit.py::TestSparse::test_serialize_sparse_csr, test/test_jit.py::TestTensorMethods::test_getitem, test/test_jit.py::TestTensorMethods::test_getitem_invalid, test/test_jit.py::TestDataclasses::test__post_init__, test/test_jit.py::TestDataclasses::test_comparators, test/test_jit.py::TestDataclasses::test_custom__eq__, test/test_jit.py::TestDataclasses::test_default_factories, test/test_jit.py::TestDataclasses::test_init_vars, test/test_jit.py::TestDataclasses::test_no_source, test/test_jit.py::TestDataclasses::test_use_unregistered_dataclass_raises, test/test_jit.py::TestGenerator::test_default_generator, test/test_jit.py::TestGenerator::test_generator_arg, test/test_jit.py::TestGenerator::test_save_load, test/test_jit.py::TestGenerator::test_script, test/test_jit.py::TestGenerator::test_trace, test/test_jit.py::TestJitProfiler::test_profiler, test/test_jit.py::TestJit::test_ModuleList, test/test_jit.py::TestJit::test_Sequential, test/test_jit.py::TestJit::test_T_mT_H_mH, test/test_jit.py::TestJit::test_add_relu_fusion, test/test_jit.py::TestJit::test_arg_configurations, test/test_jit.py::TestJit::test_attrs, test/test_jit.py::TestJit::test_batchnorm, test/test_jit.py::TestJit::test_big, test/test_jit.py::TestJit::test_conj_transpose, test/test_jit.py::TestJit::test_constant_insertion, test/test_jit.py::TestJit::test_constant_prop_aliasing_type, test/test_jit.py::TestJit::test_constant_prop_exception, test/test_jit.py::TestJit::test_constant_prop_if_constant, test/test_jit.py::TestJit::test_constant_prop_if_inline, test/test_jit.py::TestJit::test_constant_prop_loop_constant, test/test_jit.py::TestJit::test_constant_prop_nested, test/test_jit.py::TestJit::test_constant_prop_none, test/test_jit.py::TestJit::test_constant_prop_print, test/test_jit.py::TestJit::test_constant_prop_rand, test/test_jit.py::TestJit::test_constant_prop_remove_output, test/test_jit.py::TestJit::test_constant_prop_simple, test/test_jit.py::TestJit::test_constants_pkl, test/test_jit.py::TestJit::test_cpp, test/test_jit.py::TestJit::test_cse, test/test_jit.py::TestJit::test_cse_not_introduce_aliasing, test/test_jit.py::TestJit::test_cu_escaped_number, test/test_jit.py::TestJit::test_cuda_export_restore, test/test_jit.py::TestJit::test_debug_flush_compilation_cache, test/test_jit.py::TestJit::test_decompose_addmm, test/test_jit.py::TestJit::test_device_not_equal, test/test_jit.py::TestJit::test_diff_subgraph_clones_constants, test/test_jit.py::TestJit::test_disabled, test/test_jit.py::TestJit::test_dropout, test/test_jit.py::TestJit::test_dropout_cuda, test/test_jit.py::TestJit::test_dropout_func_requires_grad, test/test_jit.py::TestJit::test_dropout_module_requires_grad, test/test_jit.py::TestJit::test_einsum, test/test_jit.py::TestJit::test_element_size, test/test_jit.py::TestJit::test_expand_fold_quant_inputs, test/test_jit.py::TestJit::test_expand_quantlint, test/test_jit.py::TestJit::test_export_batchnorm, test/test_jit.py::TestJit::test_export_dropout, test/test_jit.py::TestJit::test_export_lstm, test/test_jit.py::TestJit::test_export_opnames, test/test_jit.py::TestJit::test_export_rnn, test/test_jit.py::TestJit::test_flags, test/test_jit.py::TestJit::test_function_default_values, test/test_jit.py::TestJit::test_hide_source_ranges_context_manager, test/test_jit.py::TestJit::test_import_method, test/test_jit.py::TestJit::test_inferred_as_tensor, test/test_jit.py::TestJit::test_layout, test/test_jit.py::TestJit::test_matrix_conj_transpose, test/test_jit.py::TestJit::test_matrix_transpose, test/test_jit.py::TestJit::test_module_default_values, test/test_jit.py::TestJit::test_mutable_default_values, test/test_jit.py::TestJit::test_native_dropout_corner_case, test/test_jit.py::TestJit::test_nn_conv, test/test_jit.py::TestJit::test_nn_lp_pool1d, test/test_jit.py::TestJit::test_nn_lp_pool2d, test/test_jit.py::TestJit::test_nn_padding, test/test_jit.py::TestJit::test_nn_padding_functional, test/test_jit.py::TestJit::test_no_erroneous_warnings, test/test_jit.py::TestJit::test_non_ascii_string, test/test_jit.py::TestJit::test_numel, test/test_jit.py::TestJit::test_pattern_based_module_rewrite, test/test_jit.py::TestJit::test_pattern_based_rewrite, test/test_jit.py::TestJit::test_pattern_based_rewrite_with_source_range_preserved, test/test_jit.py::TestJit::test_peephole_optimize_shape_ops, test/test_jit.py::TestJit::test_pretty_printer, test/test_jit.py::TestJit::test_print_classes_module, test/test_jit.py::TestJit::test_print_op_module, test/test_jit.py::TestJit::test_print_torch_ops_modules, test/test_jit.py::TestJit::test_python_bindings, test/test_jit.py::TestJit::test_python_ir, test/test_jit.py::TestJit::test_python_ivalue, test/test_jit.py::TestJit::test_pytorch_jit_env_off, test/test_jit.py::TestJit::test_recursive_cse, test/test_jit.py::TestJit::test_repeat_interleave_script, test/test_jit.py::TestJit::test_restore_device, test/test_jit.py::TestJit::test_restore_device_cuda, test/test_jit.py::TestJit::test_restore_shared_storage_on_cuda, test/test_jit.py::TestJit::test_script_autograd_grad, test/test_jit.py::TestJit::test_script_backward, test/test_jit.py::TestJit::test_script_backward_twice, test/test_jit.py::TestJit::test_script_bool_literal_conversion, test/test_jit.py::TestJit::test_script_fn_pkl, test/test_jit.py::TestJit::test_script_fn_valid_name, test/test_jit.py::TestJit::test_script_tensor_type, test/test_jit.py::TestJit::test_shape_analysis_broadcast, test/test_jit.py::TestJit::test_shape_analysis_masked_select, test/test_jit.py::TestJit::test_shape_analysis_unsqueeze_in_loop, test/test_jit.py::TestJit::test_sparse_csr_tensors, test/test_jit.py::TestJit::test_sparse_tensors, test/test_jit.py::TestJit::test_torch_complex, test/test_jit.py::TestJit::test_torch_load_error, test/test_jit.py::TestJit::test_torch_load_zipfile_check, test/test_jit.py::TestJit::test_torch_ops_kwonly, test/test_jit.py::TestJit::test_torch_ops_overloaded, test/test_jit.py::TestJit::test_torch_sum, test/test_jit.py::TestJit::test_trace_retains_train, test/test_jit.py::TestJit::test_train_eval, test/test_jit.py::TestJit::test_transpose, test/test_jit.py::TestJit::test_unchecked_cast, test/test_jit.py::TestJit::test_unique_state_dict, test/test_jit.py::TestJit::test_verify, test/test_jit.py::TestJit::test_warnings, test/test_jit.py::TestFrontend::test_dictionary_as_example_inputs_for_jit_trace, test/test_jit.py::TestFrontend::test_instancing_error, test/test_jit.py::TestScript::test_add_out, test/test_jit.py::TestScript::test_add_tuple_different_types, test/test_jit.py::TestScript::test_add_tuple_non_optional, test/test_jit.py::TestScript::test_add_tuple_optional, test/test_jit.py::TestScript::test_add_tuple_same_types, test/test_jit.py::TestScript::test_addmm_grad, test/test_jit.py::TestScript::test_alias_covariant_type_containers, test/test_jit.py::TestScript::test_all, test/test_jit.py::TestScript::test_annot_ast_mypy_fn, test/test_jit.py::TestScript::test_annot_ast_mypy_method, test/test_jit.py::TestScript::test_annot_ast_py3_fn, test/test_jit.py::TestScript::test_annot_ast_py3_method, test/test_jit.py::TestScript::test_annot_string_mypy_fn, test/test_jit.py::TestScript::test_annot_string_mypy_method, test/test_jit.py::TestScript::test_annot_string_py3_fn, test/test_jit.py::TestScript::test_annot_string_py3_method, test/test_jit.py::TestScript::test_annotated_script_fn, test/test_jit.py::TestScript::test_annotated_script_fn_arg_mismatch, test/test_jit.py::TestScript::test_annotated_script_fn_return_mismatch, test/test_jit.py::TestScript::test_annotated_script_method, test/test_jit.py::TestScript::test_annoying_doubles, test/test_jit.py::TestScript::test_any, test/test_jit.py::TestScript::test_assert_is_scripting_metacompile, test/test_jit.py::TestScript::test_assertion_optional_refinement, test/test_jit.py::TestScript::test_attr_module_constants, test/test_jit.py::TestScript::test_attr_qscheme_script, test/test_jit.py::TestScript::test_attribute_in_init, test/test_jit.py::TestScript::test_attribute_serialization, test/test_jit.py::TestScript::test_attribute_unpickling, test/test_jit.py::TestScript::test_augmented_assign, test/test_jit.py::TestScript::test_autodiff_complex, test/test_jit.py::TestScript::test_backend_cudnn_enabled, test/test_jit.py::TestScript::test_bad_multiline_annotations, test/test_jit.py::TestScript::test_bailout_loop_carried_deps_name_clash, test/test_jit.py::TestScript::test_bailout_loop_counter_transition, test/test_jit.py::TestScript::test_batch_norm_inference_backward_cuda, test/test_jit.py::TestScript::test_batchnorm_fuser_cpu, test/test_jit.py::TestScript::test_big_float_literals, test/test_jit.py::TestScript::test_big_int_literals, test/test_jit.py::TestScript::test_binary_op_shape, test/test_jit.py::TestScript::test_bitwise_ops, test/test_jit.py::TestScript::test_block_input_grad_in_loop, test/test_jit.py::TestScript::test_bool_augassign_bitwise_and, test/test_jit.py::TestScript::test_bool_augassign_bitwise_or, test/test_jit.py::TestScript::test_bool_augassign_bitwise_xor, test/test_jit.py::TestScript::test_bool_dispatch, test/test_jit.py::TestScript::test_boolean_literal_constant_metacompile, test/test_jit.py::TestScript::test_break_continue_error, test/test_jit.py::TestScript::test_breaks_continues, test/test_jit.py::TestScript::test_builtin_args, test/test_jit.py::TestScript::test_builtin_args_fails, test/test_jit.py::TestScript::test_builtin_function_attributes, test/test_jit.py::TestScript::test_builtin_use_as_value, test/test_jit.py::TestScript::test_call_ge, test/test_jit.py::TestScript::test_call_python_fn_from_script_fn, test/test_jit.py::TestScript::test_call_python_fn_from_script_module, test/test_jit.py::TestScript::test_call_python_fn_from_traced_module, test/test_jit.py::TestScript::test_call_python_fn_from_tracing_fn, test/test_jit.py::TestScript::test_call_python_mod_from_script_fn, test/test_jit.py::TestScript::test_call_python_mod_from_script_module, test/test_jit.py::TestScript::test_call_python_mod_from_traced_module, test/test_jit.py::TestScript::test_call_python_mod_from_tracing_fn, test/test_jit.py::TestScript::test_call_script_fn_from_script_fn, test/test_jit.py::TestScript::test_call_script_fn_from_script_module, test/test_jit.py::TestScript::test_call_script_fn_from_tracing_fn, test/test_jit.py::TestScript::test_call_script_mod_from_script_fn, test/test_jit.py::TestScript::test_call_script_mod_from_script_module, test/test_jit.py::TestScript::test_call_script_mod_from_tracing_fn, test/test_jit.py::TestScript::test_call_traced_fn_from_tracing_fn, test/test_jit.py::TestScript::test_call_traced_mod_from_tracing_fn, test/test_jit.py::TestScript::test_calls_in_type_annotations, test/test_jit.py::TestScript::test_canonicalize_control_outputs, test/test_jit.py::TestScript::test_cast, test/test_jit.py::TestScript::test_cat, test/test_jit.py::TestScript::test_cat_lifts, test/test_jit.py::TestScript::test_chr, test/test_jit.py::TestScript::test_circular_dependency, test/test_jit.py::TestScript::test_class_as_attribute, test/test_jit.py::TestScript::test_class_attribute, test/test_jit.py::TestScript::test_class_attribute_in_script, test/test_jit.py::TestScript::test_class_with_comment_at_lower_indentation, test/test_jit.py::TestScript::test_code_with_constants, test/test_jit.py::TestScript::test_code_with_constants_restore, test/test_jit.py::TestScript::test_comment_ignore_indent, test/test_jit.py::TestScript::test_compare_two_bool_inputs, test/test_jit.py::TestScript::test_compile_module_with_constant, test/test_jit.py::TestScript::test_conditional_casting, test/test_jit.py::TestScript::test_constant_as_attr, test/test_jit.py::TestScript::test_constant_pooling_introduce_aliasing, test/test_jit.py::TestScript::test_constant_pooling_none, test/test_jit.py::TestScript::test_constant_pooling_same_identity, test/test_jit.py::TestScript::test_context_manager, test/test_jit.py::TestScript::test_conv_error, test/test_jit.py::TestScript::test_convert_base, test/test_jit.py::TestScript::test_cpp_function_tensor_str, test/test_jit.py::TestScript::test_cpp_module_iterator, test/test_jit.py::TestScript::test_desugar_module, test/test_jit.py::TestScript::test_device_kwarg, test/test_jit.py::TestScript::test_device_type, test/test_jit.py::TestScript::test_device_type_cuda, test/test_jit.py::TestScript::test_dict_str, test/test_jit.py::TestScript::test_dir, test/test_jit.py::TestScript::test_divmod, test/test_jit.py::TestScript::test_dominated_bailout, test/test_jit.py::TestScript::test_dropout_eval, test/test_jit.py::TestScript::test_dtype_attr, test/test_jit.py::TestScript::test_dtype_op_shape, test/test_jit.py::TestScript::test_dtype_op_shape2, test/test_jit.py::TestScript::test_early_return_closure, test/test_jit.py::TestScript::test_early_return_fork_join, test/test_jit.py::TestScript::test_early_return_rewrite, test/test_jit.py::TestScript::test_early_return_type_refinement, test/test_jit.py::TestScript::test_early_returns_loops, test/test_jit.py::TestScript::test_ellipsis_const_end, test/test_jit.py::TestScript::test_ellipsis_const_mid, test/test_jit.py::TestScript::test_ellipsis_const_mid_select, test/test_jit.py::TestScript::test_ellipsis_const_start, test/test_jit.py::TestScript::test_ellipsis_end, test/test_jit.py::TestScript::test_ellipsis_mid, test/test_jit.py::TestScript::test_ellipsis_mid_select, test/test_jit.py::TestScript::test_ellipsis_start, test/test_jit.py::TestScript::test_embedding_renorm_grad_error, test/test_jit.py::TestScript::test_empty_like_memory_format_bc, test/test_jit.py::TestScript::test_empty_tuple_str, test/test_jit.py::TestScript::test_enumerate_modlist_range, test/test_jit.py::TestScript::test_erase_number_types, test/test_jit.py::TestScript::test_error, test/test_jit.py::TestScript::test_error_stacktrace, test/test_jit.py::TestScript::test_error_stacktrace_interface, test/test_jit.py::TestScript::test_eval_python, test/test_jit.py::TestScript::test_exception_exits_closure, test/test_jit.py::TestScript::test_exceptions_with_control_flow, test/test_jit.py::TestScript::test_expand, test/test_jit.py::TestScript::test_fibb, test/test_jit.py::TestScript::test_fibb_totally_better, test/test_jit.py::TestScript::test_file_format_serialization, test/test_jit.py::TestScript::test_file_line_error, test/test_jit.py::TestScript::test_file_line_error_class_defn, test/test_jit.py::TestScript::test_file_line_graph, test/test_jit.py::TestScript::test_file_line_save_load, test/test_jit.py::TestScript::test_file_line_string, test/test_jit.py::TestScript::test_file_line_trace, test/test_jit.py::TestScript::test_file_reader_no_memory_leak, test/test_jit.py::TestScript::test_filecheck, test/test_jit.py::TestScript::test_filecheck_parse, test/test_jit.py::TestScript::test_first_class_calls, test/test_jit.py::TestScript::test_first_class_module, test/test_jit.py::TestScript::test_floor_div, test/test_jit.py::TestScript::test_floordiv, test/test_jit.py::TestScript::test_for_else, test/test_jit.py::TestScript::test_for_in_dict, test/test_jit.py::TestScript::test_for_in_enumerate, test/test_jit.py::TestScript::test_for_in_range, test/test_jit.py::TestScript::test_for_in_range_ast, test/test_jit.py::TestScript::test_for_in_range_dynamic, test/test_jit.py::TestScript::test_for_in_range_if_ast, test/test_jit.py::TestScript::test_for_in_range_start_end, test/test_jit.py::TestScript::test_for_in_range_start_end_step, test/test_jit.py::TestScript::test_for_in_range_zero_step, test/test_jit.py::TestScript::test_for_in_string, test/test_jit.py::TestScript::test_for_in_tensors, test/test_jit.py::TestScript::test_for_in_tensors_fail_scalar, test/test_jit.py::TestScript::test_for_in_tensors_nested, test/test_jit.py::TestScript::test_for_in_tensors_rank0, test/test_jit.py::TestScript::test_for_in_zip, test/test_jit.py::TestScript::test_for_in_zip_enumerate, test/test_jit.py::TestScript::test_for_tuple_assign, test/test_jit.py::TestScript::test_for_tuple_unpack, test/test_jit.py::TestScript::test_format, test/test_jit.py::TestScript::test_func_call, test/test_jit.py::TestScript::test_function_compilation_caching, test/test_jit.py::TestScript::test_function_overload_misuse, test/test_jit.py::TestScript::test_function_overloading_isinstance, test/test_jit.py::TestScript::test_function_overloads, test/test_jit.py::TestScript::test_fuser_double_float_codegen, test/test_jit.py::TestScript::test_fuser_double_literal_precision, test/test_jit.py::TestScript::test_fuser_multiple_blocks, test/test_jit.py::TestScript::test_gather_dynamic_index, test/test_jit.py::TestScript::test_generic_list_errors, test/test_jit.py::TestScript::test_get_set_state, test/test_jit.py::TestScript::test_get_set_state_with_tensors, test/test_jit.py::TestScript::test_grad_from_script, test/test_jit.py::TestScript::test_hash, test/test_jit.py::TestScript::test_hex_literals, test/test_jit.py::TestScript::test_id, test/test_jit.py::TestScript::test_if, test/test_jit.py::TestScript::test_if_define, test/test_jit.py::TestScript::test_if_different_type, test/test_jit.py::TestScript::test_if_for_in_range, test/test_jit.py::TestScript::test_if_is_none_dispatch, test/test_jit.py::TestScript::test_if_list_cat, test/test_jit.py::TestScript::test_if_nest_while, test/test_jit.py::TestScript::test_if_noelse, test/test_jit.py::TestScript::test_if_not_defined_error, test/test_jit.py::TestScript::test_if_supertype, test/test_jit.py::TestScript::test_ignore_decorator, test/test_jit.py::TestScript::test_ignored_as_value, test/test_jit.py::TestScript::test_ignored_method_binding, test/test_jit.py::TestScript::test_ignored_props, test/test_jit.py::TestScript::test_import_constants_not_specialized, test/test_jit.py::TestScript::test_in_for_and_comp_expr, test/test_jit.py::TestScript::test_in_operator_with_two_strings, test/test_jit.py::TestScript::test_index, test/test_jit.py::TestScript::test_index_select_shape_prop, test/test_jit.py::TestScript::test_index_with_tuple, test/test_jit.py::TestScript::test_indexing_error, test/test_jit.py::TestScript::test_infer_size, test/test_jit.py::TestScript::test_inferred_error_msg, test/test_jit.py::TestScript::test_inherit_method, test/test_jit.py::TestScript::test_inline_and_run_annotated_script_fn, test/test_jit.py::TestScript::test_inlined_graph, test/test_jit.py::TestScript::test_inlining_cleanup, test/test_jit.py::TestScript::test_inplace_add, test/test_jit.py::TestScript::test_inplace_copy_script, test/test_jit.py::TestScript::test_input_keyword_in_schema, test/test_jit.py::TestScript::test_int_cast, test/test_jit.py::TestScript::test_integral_shape_inference, test/test_jit.py::TestScript::test_interpret_graph, test/test_jit.py::TestScript::test_interpreter_fuzz, test/test_jit.py::TestScript::test_intlist_args, test/test_jit.py::TestScript::test_invalid_call_arguments, test/test_jit.py::TestScript::test_invalid_lhs_assignment, test/test_jit.py::TestScript::test_invalid_prefix_annotation, test/test_jit.py::TestScript::test_irparser, test/test_jit.py::TestScript::test_is_after_use, test/test_jit.py::TestScript::test_is_isnot, test/test_jit.py::TestScript::test_is_optional, test/test_jit.py::TestScript::test_is_scripting, test/test_jit.py::TestScript::test_is_scripting_metacompile, test/test_jit.py::TestScript::test_isinstance, test/test_jit.py::TestScript::test_isinstance_dynamic, test/test_jit.py::TestScript::test_isinstance_metacompile, test/test_jit.py::TestScript::test_isinstance_refinement, test/test_jit.py::TestScript::test_jitter_bug, test/test_jit.py::TestScript::test_keyword, test/test_jit.py::TestScript::test_kwarg_expansion_error, test/test_jit.py::TestScript::test_kwargs_error_msg, test/test_jit.py::TestScript::test_lazy_script, test/test_jit.py::TestScript::test_lhs_advanced_indexing_assignment, test/test_jit.py::TestScript::test_lhs_advanced_indexing_augmented_assignment, test/test_jit.py::TestScript::test_lhs_indexing, test/test_jit.py::TestScript::test_lhs_indexing_increment, test/test_jit.py::TestScript::test_lhs_indexing_increment_list, test/test_jit.py::TestScript::test_lhs_indexing_increment_list_prim, test/test_jit.py::TestScript::test_lhs_indexing_list, test/test_jit.py::TestScript::test_lhs_indexing_multi, test/test_jit.py::TestScript::test_linear_grad, test/test_jit.py::TestScript::test_list_comprehension_modulelist, test/test_jit.py::TestScript::test_list_comprehension_variable_write, test/test_jit.py::TestScript::test_list_iterables, test/test_jit.py::TestScript::test_list_python_op, test/test_jit.py::TestScript::test_list_unify, test/test_jit.py::TestScript::test_literal, test/test_jit.py::TestScript::test_literals, test/test_jit.py::TestScript::test_logical_short_circuit, test/test_jit.py::TestScript::test_loop_liveness, test/test_jit.py::TestScript::test_loop_unroll_negative, test/test_jit.py::TestScript::test_loop_unroll_unused_counter, test/test_jit.py::TestScript::test_loop_unrolling, test/test_jit.py::TestScript::test_loop_unrolling_const, test/test_jit.py::TestScript::test_loop_unrolling_nested, test/test_jit.py::TestScript::test_lower_nested_tuples, test/test_jit.py::TestScript::test_math_ops, test/test_jit.py::TestScript::test_maxpool_guard_elimination, test/test_jit.py::TestScript::test_meshgrid, test/test_jit.py::TestScript::test_method_casts_script, test/test_jit.py::TestScript::test_method_no_self, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_missing_getstate, test/test_jit.py::TestScript::test_mm_batching, test/test_jit.py::TestScript::test_module_apis, test/test_jit.py::TestScript::test_module_attrs, test/test_jit.py::TestScript::test_module_copy_with_attributes, test/test_jit.py::TestScript::test_module_copying, test/test_jit.py::TestScript::test_module_error, test/test_jit.py::TestScript::test_module_method_reassignment, test/test_jit.py::TestScript::test_module_none_attrs, test/test_jit.py::TestScript::test_module_parameters_and_buffers, test/test_jit.py::TestScript::test_module_str, test/test_jit.py::TestScript::test_module_with_params_called_fails, test/test_jit.py::TestScript::test_multi_reduction, test/test_jit.py::TestScript::test_multi_starred_expr_lhs, test/test_jit.py::TestScript::test_multiline_annot_ast_py3_fn, test/test_jit.py::TestScript::test_multiline_optional_future_refinement, test/test_jit.py::TestScript::test_multiline_string_dedents, test/test_jit.py::TestScript::test_multiple_assign, test/test_jit.py::TestScript::test_multiple_assignment, test/test_jit.py::TestScript::test_mutable_dce, test/test_jit.py::TestScript::test_mutable_dce_block, test/test_jit.py::TestScript::test_mutable_dce_graph_input, test/test_jit.py::TestScript::test_mutable_dce_indirect_wildcard_write, test/test_jit.py::TestScript::test_mutable_dce_indirect_wildcards, test/test_jit.py::TestScript::test_mutable_dce_list, test/test_jit.py::TestScript::test_mutable_dce_loop, test/test_jit.py::TestScript::test_mutable_dce_wildcards, test/test_jit.py::TestScript::test_mutate_constant, test/test_jit.py::TestScript::test_mypy_type_ignore, test/test_jit.py::TestScript::test_named_buffers_are_iterable, test/test_jit.py::TestScript::test_namedtuple_attr, test/test_jit.py::TestScript::test_namedtuple_default_values_Tensor_type, test/test_jit.py::TestScript::test_namedtuple_default_values_container_type, test/test_jit.py::TestScript::test_namedtuple_default_values_missing, test/test_jit.py::TestScript::test_namedtuple_default_values_simple_type, test/test_jit.py::TestScript::test_namedtuple_default_values_using_factory_constructor, test/test_jit.py::TestScript::test_namedtuple_python, test/test_jit.py::TestScript::test_namedtuple_type_inference, test/test_jit.py::TestScript::test_narrow_copy, test/test_jit.py::TestScript::test_nested_aug_assign, test/test_jit.py::TestScript::test_nested_bailouts, test/test_jit.py::TestScript::test_nested_breaks, test/test_jit.py::TestScript::test_nested_list_construct, test/test_jit.py::TestScript::test_nested_select_assign, test/test_jit.py::TestScript::test_nn_GRU, test/test_jit.py::TestScript::test_nn_LSTM, test/test_jit.py::TestScript::test_nn_LSTM_with_layers, test/test_jit.py::TestScript::test_nn_init, test/test_jit.py::TestScript::test_nn_init_generator, test/test_jit.py::TestScript::test_no_dtype_shape, test/test_jit.py::TestScript::test_no_self_arg_ignore_function, test/test_jit.py::TestScript::test_non_final_return, test/test_jit.py::TestScript::test_none_type_str, test/test_jit.py::TestScript::test_not, test/test_jit.py::TestScript::test_not_initialized_err, test/test_jit.py::TestScript::test_ntuple_builtins, test/test_jit.py::TestScript::test_number_abs, test/test_jit.py::TestScript::test_number_augassign, test/test_jit.py::TestScript::test_number_augassign_bitwise_lshift, test/test_jit.py::TestScript::test_number_augassign_bitwise_pow, test/test_jit.py::TestScript::test_number_augassign_bitwise_rshift, test/test_jit.py::TestScript::test_number_div, test/test_jit.py::TestScript::test_number_math, test/test_jit.py::TestScript::test_number_neg, test/test_jit.py::TestScript::test_oneline_func, test/test_jit.py::TestScript::test_op_dtype, test/test_jit.py::TestScript::test_operator_precedence, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_tensor, test/test_jit.py::TestScript::test_ord, test/test_jit.py::TestScript::test_override_magic, test/test_jit.py::TestScript::test_pack_tuple_into_non_var, test/test_jit.py::TestScript::test_pack_unpack_nested, test/test_jit.py::TestScript::test_pack_unpack_state, test/test_jit.py::TestScript::test_parameter_order, test/test_jit.py::TestScript::test_parse_empty_tuple_annotation, test/test_jit.py::TestScript::test_parse_empty_tuple_annotation_element_error, test/test_jit.py::TestScript::test_parse_generator, test/test_jit.py::TestScript::test_parse_nested_names, test/test_jit.py::TestScript::test_parse_none_type_annotation, test/test_jit.py::TestScript::test_parse_scalar_tensor_constants, test/test_jit.py::TestScript::test_parse_tensor_constants, test/test_jit.py::TestScript::test_parser_kwargonly, test/test_jit.py::TestScript::test_parser_type_annotations, test/test_jit.py::TestScript::test_parser_type_annotations_comment, test/test_jit.py::TestScript::test_parser_type_annotations_incompatible_expression, test/test_jit.py::TestScript::test_parser_type_annotations_subscript_non_ident, test/test_jit.py::TestScript::test_parser_type_annotations_subscript_tensor, test/test_jit.py::TestScript::test_parser_type_annotations_unknown_type, test/test_jit.py::TestScript::test_partial_returns, test/test_jit.py::TestScript::test_pass, test/test_jit.py::TestScript::test_pickle_checkpoint, test/test_jit.py::TestScript::test_pickle_checkpoint_cuda, test/test_jit.py::TestScript::test_pickle_checkpoint_tup, test/test_jit.py::TestScript::test_pow_scalar_backward_cuda, test/test_jit.py::TestScript::test_pretty_print_function, test/test_jit.py::TestScript::test_prim_grad_undefined, test/test_jit.py::TestScript::test_print, test/test_jit.py::TestScript::test_print_kwargs, test/test_jit.py::TestScript::test_profiling_graph_executor, test/test_jit.py::TestScript::test_profiling_merge, test/test_jit.py::TestScript::test_pybind_type_comparisons, test/test_jit.py::TestScript::test_python_call, test/test_jit.py::TestScript::test_python_call_annotation, test/test_jit.py::TestScript::test_python_call_annoytation_failure, test/test_jit.py::TestScript::test_python_call_failure, test/test_jit.py::TestScript::test_python_call_non_tensor, test/test_jit.py::TestScript::test_python_call_non_tensor_wrong, test/test_jit.py::TestScript::test_python_frontend, test/test_jit.py::TestScript::test_python_frontend_py3, test/test_jit.py::TestScript::test_python_frontend_source_range, test/test_jit.py::TestScript::test_python_op_builtins, test/test_jit.py::TestScript::test_python_op_name, test/test_jit.py::TestScript::test_python_val_doesnt_have_attr, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand_profiling, test/test_jit.py::TestScript::test_range_args, test/test_jit.py::TestScript::test_reassign_module_lhs, test/test_jit.py::TestScript::test_reassign_module_rhs, test/test_jit.py::TestScript::test_refine_tuple_types, test/test_jit.py::TestScript::test_remove_dropout, test/test_jit.py::TestScript::test_repeated_script_on_function, test/test_jit.py::TestScript::test_request_bailout, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_rescripting_loaded_modules, test/test_jit.py::TestScript::test_resize_input_ops, test/test_jit.py::TestScript::test_return, test/test_jit.py::TestScript::test_return_stmt_not_at_end, test/test_jit.py::TestScript::test_return_tuple, test/test_jit.py::TestScript::test_robust_op_resolution, test/test_jit.py::TestScript::test_round, test/test_jit.py::TestScript::test_save_load_attr_error, test/test_jit.py::TestScript::test_script_annotation, test/test_jit.py::TestScript::test_script_bool_constant, test/test_jit.py::TestScript::test_script_chunk, test/test_jit.py::TestScript::test_script_clamp_none, test/test_jit.py::TestScript::test_script_copy, test/test_jit.py::TestScript::test_script_cu, test/test_jit.py::TestScript::test_script_define_order, test/test_jit.py::TestScript::test_script_define_order_recursive_fail, test/test_jit.py::TestScript::test_script_docstring, test/test_jit.py::TestScript::test_script_forward_method_replacement, test/test_jit.py::TestScript::test_script_get_device_cuda, test/test_jit.py::TestScript::test_script_get_tracing_state, test/test_jit.py::TestScript::test_script_is_tracing, test/test_jit.py::TestScript::test_script_kwargs_fn_call, test/test_jit.py::TestScript::test_script_method_docstring, test/test_jit.py::TestScript::test_script_method_torch_function_overload, test/test_jit.py::TestScript::test_script_module, test/test_jit.py::TestScript::test_script_module_call_noscript, test/test_jit.py::TestScript::test_script_module_const, test/test_jit.py::TestScript::test_script_module_const_submodule_fail, test/test_jit.py::TestScript::test_script_module_export_blocks, test/test_jit.py::TestScript::test_script_module_export_shared_storage, test/test_jit.py::TestScript::test_script_module_export_submodule, test/test_jit.py::TestScript::test_script_module_export_tensor_cuda, test/test_jit.py::TestScript::test_script_module_export_tensor_type, test/test_jit.py::TestScript::test_script_module_fail_exist, test/test_jit.py::TestScript::test_script_module_for, test/test_jit.py::TestScript::test_script_module_for2, test/test_jit.py::TestScript::test_script_module_invalid_consts, test/test_jit.py::TestScript::test_script_module_nochange_submodule, test/test_jit.py::TestScript::test_script_module_none_exist_fail, test/test_jit.py::TestScript::test_script_module_not_tuple, test/test_jit.py::TestScript::test_script_module_param_buffer_mutation, test/test_jit.py::TestScript::test_script_module_star_assign2, test/test_jit.py::TestScript::test_script_module_star_assign2_inplace, test/test_jit.py::TestScript::test_script_module_star_assign_fail_builtin, test/test_jit.py::TestScript::test_script_module_star_assign_fail_pythonop, test/test_jit.py::TestScript::test_script_module_tensor_subclass_argument, test/test_jit.py::TestScript::test_script_nested_mod_list, test/test_jit.py::TestScript::test_script_non_tensor_args_outputs, test/test_jit.py::TestScript::test_script_optional_none, test/test_jit.py::TestScript::test_script_outputs, test/test_jit.py::TestScript::test_script_pack_padded_sequence, test/test_jit.py::TestScript::test_script_pad_sequence_pack_sequence, test/test_jit.py::TestScript::test_script_scope, test/test_jit.py::TestScript::test_script_sequential_for, test/test_jit.py::TestScript::test_script_sequential_in_mod_list, test/test_jit.py::TestScript::test_script_sequential_multi_output_fail, test/test_jit.py::TestScript::test_script_sequential_orderdict, test/test_jit.py::TestScript::test_script_sequential_sliced_iteration, test/test_jit.py::TestScript::test_script_star_assign, test/test_jit.py::TestScript::test_script_star_expr, test/test_jit.py::TestScript::test_script_star_expr_string, test/test_jit.py::TestScript::test_scriptable_fn_as_attr, test/test_jit.py::TestScript::test_scriptmodule_multi_head_attn_cuda, test/test_jit.py::TestScript::test_scriptmodule_releases_tensors_cuda, test/test_jit.py::TestScript::test_scriptmodule_transformer_cuda, test/test_jit.py::TestScript::test_select_after_chunk, test/test_jit.py::TestScript::test_sequence_parsing, test/test_jit.py::TestScript::test_sequential_intermediary_types, test/test_jit.py::TestScript::test_serialization_big_ints, test/test_jit.py::TestScript::test_serialization_sharing, test/test_jit.py::TestScript::test_serialize_long_lines, test/test_jit.py::TestScript::test_serialized_source_ranges, test/test_jit.py::TestScript::test_serialized_source_ranges2, test/test_jit.py::TestScript::test_serialized_source_ranges_dont_jitter, test/test_jit.py::TestScript::test_serialized_source_ranges_graph, test/test_jit.py::TestScript::test_serialized_source_ranges_no_dups, test/test_jit.py::TestScript::test_set_attribute_through_optional, test/test_jit.py::TestScript::test_shape_analysis_grad_property, test/test_jit.py::TestScript::test_shape_analysis_loop, test/test_jit.py::TestScript::test_shape_prop_promote_scalar_arg, test/test_jit.py::TestScript::test_shape_prop_promotion, test/test_jit.py::TestScript::test_signed_float_zero, test/test_jit.py::TestScript::test_single_starred_expr_for_loop, test/test_jit.py::TestScript::test_single_starred_lhs, test/test_jit.py::TestScript::test_singleton_tuple_unpack, test/test_jit.py::TestScript::test_slice_guard_elimination, test/test_jit.py::TestScript::test_split, test/test_jit.py::TestScript::test_stack, test/test_jit.py::TestScript::test_static_if_prop, test/test_jit.py::TestScript::test_static_method_on_module, test/test_jit.py::TestScript::test_static_methods, test/test_jit.py::TestScript::test_str_cast, test/test_jit.py::TestScript::test_string_cu, test/test_jit.py::TestScript::test_string_device_implicit_conversion, test/test_jit.py::TestScript::test_string_frontend_elif, test/test_jit.py::TestScript::test_string_index, test/test_jit.py::TestScript::test_string_len, test/test_jit.py::TestScript::test_string_list, test/test_jit.py::TestScript::test_string_new_line, test/test_jit.py::TestScript::test_string_ops, test/test_jit.py::TestScript::test_string_print, test/test_jit.py::TestScript::test_string_single_escape, test/test_jit.py::TestScript::test_string_slicing, test/test_jit.py::TestScript::test_string_sort, test/test_jit.py::TestScript::test_string_sorted, test/test_jit.py::TestScript::test_submodule_attribute_serialization, test/test_jit.py::TestScript::test_submodule_twice, test/test_jit.py::TestScript::test_sum, test/test_jit.py::TestScript::test_sum_list_diff_elms, test/test_jit.py::TestScript::test_sum_list_empty, test/test_jit.py::TestScript::test_sum_list_literal, test/test_jit.py::TestScript::test_sum_list_one, test/test_jit.py::TestScript::test_sum_list_wrong_type, test/test_jit.py::TestScript::test_sys_stdout_override, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_data, test/test_jit.py::TestScript::test_tensor_device, test/test_jit.py::TestScript::test_tensor_dtype, test/test_jit.py::TestScript::test_tensor_grad, test/test_jit.py::TestScript::test_tensor_import_export, test/test_jit.py::TestScript::test_tensor_len, test/test_jit.py::TestScript::test_tensor_number_math, test/test_jit.py::TestScript::test_tensor_number_math_cuda, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_shape, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_to, test/test_jit.py::TestScript::test_tensor_to_cpu, test/test_jit.py::TestScript::test_tensor_to_cuda, test/test_jit.py::TestScript::test_tensor_to_device, test/test_jit.py::TestScript::test_ternary, test/test_jit.py::TestScript::test_ternary_module_type_hint, test/test_jit.py::TestScript::test_ternary_right_associative, test/test_jit.py::TestScript::test_ternary_static_if, test/test_jit.py::TestScript::test_torch_any, test/test_jit.py::TestScript::test_torch_functional, test/test_jit.py::TestScript::test_torch_functional_tensordot_int, test/test_jit.py::TestScript::test_torch_functional_tensordot_list, test/test_jit.py::TestScript::test_torch_functional_tensordot_tensor, test/test_jit.py::TestScript::test_torch_functional_tensordot_tuple, test/test_jit.py::TestScript::test_torch_ignore_conversion_to_none, test/test_jit.py::TestScript::test_torch_manual_seed, test/test_jit.py::TestScript::test_torch_pow, test/test_jit.py::TestScript::test_torch_tensor_as_tensor, test/test_jit.py::TestScript::test_torch_tensor_as_tensor_empty_list, test/test_jit.py::TestScript::test_torch_tensor_bad_input, test/test_jit.py::TestScript::test_torch_tensor_dtype, test/test_jit.py::TestScript::test_torchscript_memoryformat, test/test_jit.py::TestScript::test_torchscript_multi_head_attn, test/test_jit.py::TestScript::test_torchscript_multi_head_attn_fast_path, test/test_jit.py::TestScript::test_training_param, test/test_jit.py::TestScript::test_tuple_assignments, test/test_jit.py::TestScript::test_tuple_error_msg, test/test_jit.py::TestScript::test_tuple_index_to_list, test/test_jit.py::TestScript::test_tuple_indexing, test/test_jit.py::TestScript::test_tuple_len, test/test_jit.py::TestScript::test_tuple_nested_sort, test/test_jit.py::TestScript::test_tuple_sort, test/test_jit.py::TestScript::test_tuple_sort_reverse, test/test_jit.py::TestScript::test_tuple_sorted, test/test_jit.py::TestScript::test_tuple_str, test/test_jit.py::TestScript::test_tuple_to_opt_list, test/test_jit.py::TestScript::test_tuple_unsortable_diff_type, test/test_jit.py::TestScript::test_tuple_unsortable_element_type, test/test_jit.py::TestScript::test_tuple_unsortable_nested_diff_type, test/test_jit.py::TestScript::test_type_annotate, test/test_jit.py::TestScript::test_type_annotation_module, test/test_jit.py::TestScript::test_type_annotation_py3, test/test_jit.py::TestScript::test_type_annotations, test/test_jit.py::TestScript::test_type_annotations_repeated_list, test/test_jit.py::TestScript::test_type_annotations_varargs, test/test_jit.py::TestScript::test_type_call_in_script, test/test_jit.py::TestScript::test_type_cast, test/test_jit.py::TestScript::test_type_comments_in_body, test/test_jit.py::TestScript::test_type_inferred_from_empty_annotation, test/test_jit.py::TestScript::test_unbind, test/test_jit.py::TestScript::test_unfold_zero_dim, test/test_jit.py::TestScript::test_unicode_comments, test/test_jit.py::TestScript::test_uninitialized, test/test_jit.py::TestScript::test_union_to_number, test/test_jit.py::TestScript::test_unknown_builtin, test/test_jit.py::TestScript::test_unmatched_type_annotation, test/test_jit.py::TestScript::test_unspecialized_any_binding, test/test_jit.py::TestScript::test_unsqueeze_guard_elimination, test/test_jit.py::TestScript::test_unsupported_builtin_error, test/test_jit.py::TestScript::test_unused_decorator, test/test_jit.py::TestScript::test_unwrap_optional_builtin, test/test_jit.py::TestScript::test_var_aug_assign, test/test_jit.py::TestScript::test_vararg_zeros, test/test_jit.py::TestScript::test_view_listconstruct_shape_prop, test/test_jit.py::TestScript::test_view_shape_prop, test/test_jit.py::TestScript::test_view_write, test/test_jit.py::TestScript::test_weak_cuda, test/test_jit.py::TestScript::test_where, test/test_jit.py::TestScript::test_where_method, test/test_jit.py::TestScript::test_while, test/test_jit.py::TestScript::test_while_nest_if, test/test_jit.py::TestScript::test_while_nonexistent_cond_value, test/test_jit.py::TestScript::test_while_nonexistent_value, test/test_jit.py::TestScript::test_while_write_outer_then_read, test/test_jit.py::TestScript::test_wrong_attr_lookup, test/test_jit.py::TestScript::test_wrong_implicit_expand, test/test_jit.py::TestScript::test_wrong_method_call_inputs, test/test_jit.py::TestScript::test_wrong_module_attr_lookup, test/test_jit.py::TestScript::test_wrong_return_type, test/test_jit.py::TestScript::test_wrong_use_as_callable, test/test_jit.py::TestScript::test_wrong_use_as_tuple, test/test_jit.py::TestScript::test_zero_dimension_tensor_trace, test/test_jit.py::TestScript::test_zeros, test/test_jit.py::TestScript::test_zip_enumerate_modulelist, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_weights_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_legacy_enum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_Bilinear, test/test_jit.py::TestJitGeneratedModule::test_nn_CELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad1size1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad2size1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_padded, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_with_multiplier, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups_thnn, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_1x1x1_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_dilated_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_CrossMapLRN2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_GELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GRUCell, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardsigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardswish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardtanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_delta, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_log_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_LSTMCell, test/test_jit.py::TestJitGeneratedModule::test_nn_LayerNorm_3d_no_affine_large_feature, test/test_jit.py::TestJitGeneratedModule::test_nn_LeakyReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_LogSigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Mish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_0d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_p_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiheadAttention, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_PReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_lhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_rhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_with_non_default_args, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelShuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelUnshuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_RNNCell, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU6_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SiLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Sigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_zero_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_Softplus_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softsign_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanhshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Threshold_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer_multilayer_coder, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Unflatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_launch_configs, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial_special, test/test_jit.py::TestJitGeneratedModule::test_nn_multimarginloss_1d_input_0d_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_special, test/test_jit.py::TestProducerVersion::test_version 2025-08-14T22:27:17.1709707Z 2025-08-14T22:27:20.8147660Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:27:20.8149129Z import pkg_resources 2025-08-14T22:27:20.9446878Z Running test_schema_check 1/1 ... [2025-08-14 22:27:20.944405] 2025-08-14T22:27:20.9447317Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:27:20.9449759Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_schema_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:27:20.944753] 2025-08-14T22:33:38.8234614Z 2025-08-14T22:33:38.8235741Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_605dc07f371f95fc_.log 2025-08-14T22:33:39.0906579Z Running 6023 items in this shard: test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_output_is_input, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_mutating, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators_centered, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_outputs_unexpectedly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_simple, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_basic, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_empty_container, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_overlaps_basic, test/test_schema_check.py::TestSchemaCheck::test_overlaps_empty_container, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_empty_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_default_replaced, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_device_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_kwarg_tensor, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_mutable_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_nested_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_wildcard_after, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs_aliasing, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_as_strided, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_mutation, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_none, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_resize_, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order_without_grad, test/test_schema_check.py::TestSchemaCheck::test_schema_info_bind_basic, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___getitem___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___radd___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rand___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rdiv___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmatmul___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmod___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmod___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmod___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmod___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rmul___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___ror___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___ror___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___ror___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___ror___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___ror___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___ror___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rpow___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rsub___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rxor___cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rxor___cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rxor___cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rxor___cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rxor___cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness___rxor___cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__batch_norm_with_update_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__batch_norm_with_update_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__batch_norm_with_update_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__batch_norm_with_update_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__chunk_cat_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__native_batch_norm_legit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__native_batch_norm_legit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__native_batch_norm_legit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__native_batch_norm_legit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_lengths_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_lengths_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_lengths_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_lengths_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_offsets_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_offsets_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_offsets_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__segment_reduce_offsets_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__softmax_backward_data_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__softmax_backward_data_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__softmax_backward_data_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__softmax_backward_data_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__upsample_bilinear2d_aa_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__upsample_bilinear2d_aa_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness__upsample_bilinear2d_aa_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_abs_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acos_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_acosh_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_add_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addbmm_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcdiv_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcdiv_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcdiv_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcdiv_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcdiv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcdiv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addcmul_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmm_decomposed_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addmv_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_addr_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_alias_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_all_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_allclose_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_allclose_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_allclose_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_allclose_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_allclose_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_allclose_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_amin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_aminmax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_angle_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_any_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_arange_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argmin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argsort_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_argwhere_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_partial_views_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_as_strided_scatter_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_asinh_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atan_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atanh_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_1d_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_2d_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_atleast_3d_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_baddbmm_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bernoulli_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bernoulli_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bernoulli_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bernoulli_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bfloat16_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bincount_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bincount_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bincount_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bincount_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bincount_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_and_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_and_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_and_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_and_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_and_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_and_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_left_shift_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_left_shift_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_left_shift_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_left_shift_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_left_shift_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_not_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_not_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_not_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_not_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_not_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_not_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_or_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_or_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_or_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_or_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_or_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_or_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_right_shift_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_right_shift_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_right_shift_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_right_shift_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_right_shift_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_xor_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_xor_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_xor_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_xor_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_xor_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bitwise_xor_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_block_diag_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bmm_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bool_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_shapes_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_tensors_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_broadcast_to_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_bucketize_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_byte_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cartesian_prod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cat_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cauchy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cauchy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cauchy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cauchy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdist_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdist_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cdouble_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ceil_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cfloat_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chalf_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_char_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_inverse_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_inverse_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_inverse_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_inverse_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_solve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_solve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_solve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cholesky_solve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_chunk_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_max_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clamp_min_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_clone_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_column_stack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_combinations_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_complex_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_complex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_complex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_conj_physical_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_constant_pad_nd_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_contiguous_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_copysign_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_corrcoef_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cos_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cosh_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_count_nonzero_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cov_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cross_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cummin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumprod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumsum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_cumulative_trapezoid_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_deg2rad_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diag_embed_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagflat_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diagonal_scatter_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_diff_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_digamma_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dist_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dist_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dist_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dist_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dist_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dist_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_floor_rounding_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_no_rounding_mode_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_div_trunc_rounding_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dot_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_double_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dsplit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_dstack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_einsum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_like_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_permuted_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_empty_strided_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eq_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_equal_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erf_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfc_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_erfinv_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exp_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_as_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expand_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_expm1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exponential_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exponential_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exponential_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_exponential_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float8_e4m3fn, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float8_e4m3fnuz, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float8_e5m2, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_float8_e5m2fnuz, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_eye_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fft_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_fftshift_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfft_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_hfftn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifft_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ifftshift_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfft_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_ihfftn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfft_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_irfftn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfft_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fft_rfftn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fill_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flatten_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flip_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fliplr_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_flipud_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_float_power_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_floor_divide_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_fmod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frac_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frac_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frac_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frac_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_frexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_uint16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_uint32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_full_like_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gather_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gcd_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gcd_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gcd_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gcd_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gcd_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ge_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geometric_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geqrf_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geqrf_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geqrf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_geqrf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gradient_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_grid_sampler_2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_grid_sampler_2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_grid_sampler_2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_grid_sampler_2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_gt_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_half_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hash_tensor_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_heaviside_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histc_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histc_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histc_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histc_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histogram_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histogram_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histogramdd_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_histogramdd_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hsplit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hstack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hypot_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hypot_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hypot_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_hypot_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_i0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igamma_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igamma_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igamma_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igamma_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igammac_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igammac_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igammac_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_igammac_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_imag_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_imag_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_imag_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_add_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_fill_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_put_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_amin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_mean_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_reduce_prod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_index_select_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_inner_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_int_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isclose_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isfinite_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isinf_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isnan_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isneginf_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isposinf_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_isreal_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_istft_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_istft_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_item_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_2inputs_2outputs_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_binary_return_by_ref_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_jiterator_unary_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kron_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_kthvalue_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lcm_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lcm_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lcm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lcm_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lcm_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ldexp_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_le_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lerp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lerp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lerp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lerp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lerp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lerp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lgamma_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_ex_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_ex_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_ex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cholesky_ex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cond_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cond_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cond_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cond_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_cross_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_det_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_det_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_det_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_det_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_diagonal_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eig_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eig_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eig_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eig_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvals_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvals_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvals_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvals_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvalsh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvalsh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvalsh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_eigvalsh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_householder_product_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_householder_product_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_householder_product_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_householder_product_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_ex_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_ex_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_ex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_inv_ex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_ex_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_ex_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_ex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_factor_ex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_solve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_solve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_solve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_ldl_solve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_grad_oriented_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_grad_oriented_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_grad_oriented_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lstsq_grad_oriented_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_ex_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_ex_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_ex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_factor_ex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_solve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_solve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_solve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_lu_solve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_norm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_norm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_power_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_power_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_power_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_power_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_hermitian_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_hermitian_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_hermitian_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_matrix_rank_hermitian_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_multi_dot_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_subgradients_at_zero_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_subgradients_at_zero_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_norm_subgradients_at_zero_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_hermitian_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_hermitian_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_hermitian_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_hermitian_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_singular_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_singular_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_singular_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_pinv_singular_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_qr_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_qr_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_qr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_qr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_slogdet_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_slogdet_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_slogdet_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_slogdet_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_ex_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_ex_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_ex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_ex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_triangular_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_triangular_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_triangular_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_solve_triangular_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svd_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svd_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svd_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svd_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svdvals_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svdvals_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svdvals_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_svdvals_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorinv_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorinv_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorinv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorinv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorsolve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorsolve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorsolve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_tensorsolve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vander_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vecdot_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vecdot_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vecdot_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vecdot_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vecdot_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vecdot_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vector_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vector_norm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vector_norm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vector_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vector_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linalg_vector_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_linspace_tensor_overload_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log10_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log1p_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_normal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_normal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_normal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_normal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_log_softmax_with_dtype_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp2_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp2_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logaddexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logcumsumexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logcumsumexp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logcumsumexp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logcumsumexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logcumsumexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logcumsumexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logdet_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logdet_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logdet_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logdet_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_and_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_not_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_or_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logical_xor_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logspace_tensor_overload_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_logsumexp_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_long_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lt_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_solve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_solve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_solve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_solve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_unpack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_unpack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_unpack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_lu_unpack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mH_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mT_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_amin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_argmin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumprod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_cumsum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_fill_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_log_softmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_log_softmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_log_softmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_log_softmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logaddexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logaddexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logaddexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logaddexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_logsumexp_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_mean_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_mean_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_median_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_median_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_median_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_median_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_normalize_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_normalize_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_normalize_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_normalize_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_normalize_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_normalize_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_prod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_scatter_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_select_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_softmin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_std_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_sum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_masked_var_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matmul_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matrix_exp_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matrix_exp_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matrix_exp_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matrix_exp_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matrix_exp_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_matrix_exp_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_binary_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_pool2d_with_indices_backward_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_pool2d_with_indices_backward_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_pool2d_with_indices_backward_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_no_dim_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_max_reduction_with_dim_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_maximum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mean_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mean_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_median_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_list_of_tensors_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_meshgrid_variadic_tensors_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_binary_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_no_dim_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_min_reduction_with_dim_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_minimum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mm_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mode_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_movedim_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_msort_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mul_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_multinomial_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_multinomial_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_multinomial_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_multinomial_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mv_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nan_to_num_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanmedian_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanquantile_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nanquantile_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nansum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_narrow_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_batch_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_batch_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_batch_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_batch_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_dropout_backward_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_layer_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_layer_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_layer_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_native_layer_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ne_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_neg_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_empty_strided_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_full_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_ones_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_new_zeros_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nextafter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nextafter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nextafter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nextafter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_alpha_dropout_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_alpha_dropout_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_alpha_dropout_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_alpha_dropout_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool1d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool2d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_avg_pool3d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_batch_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_batch_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_batch_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_batch_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_bilinear_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_celu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_celu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_celu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_celu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_channel_shuffle_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv1d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv2d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv3d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose1d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose2d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_conv_transpose3d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_similarity_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_similarity_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_similarity_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cosine_similarity_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cross_entropy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cross_entropy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cross_entropy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_cross_entropy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_ctc_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_ctc_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_dropout_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_elu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_elu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_elu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_elu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_bag_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_bag_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_bag_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_bag_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_embedding_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_fractional_max_pool3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gaussian_nll_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gaussian_nll_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gaussian_nll_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gelu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gelu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gelu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_gelu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_glu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_glu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_glu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_glu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_grid_sample_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_grid_sample_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_grid_sample_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_grid_sample_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_group_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_group_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_group_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_group_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardshrink_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardshrink_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardshrink_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardshrink_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardsigmoid_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardsigmoid_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardsigmoid_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardsigmoid_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardswish_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardswish_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardswish_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardswish_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hardtanh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hinge_embedding_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hinge_embedding_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_hinge_embedding_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_huber_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_huber_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_huber_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_huber_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_instance_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_instance_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_instance_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_instance_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_area_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_area_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_area_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_area_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bicubic_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bicubic_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bicubic_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bicubic_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bilinear_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bilinear_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bilinear_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_bilinear_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_linear_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_linear_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_linear_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_linear_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_nearest_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_trilinear_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_trilinear_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_interpolate_trilinear_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_kl_div_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_kl_div_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_kl_div_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_kl_div_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_l1_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_l1_loss_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_l1_loss_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_l1_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_l1_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_l1_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_layer_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_layer_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_layer_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_layer_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_leaky_relu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_leaky_relu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_leaky_relu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_leaky_relu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_linear_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_local_response_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_local_response_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_local_response_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_local_response_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_local_response_norm_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_logsigmoid_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_logsigmoid_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_logsigmoid_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_logsigmoid_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_margin_ranking_loss_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool2d_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_pool3d_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_grad_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_grad_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool1d_grad_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_grad_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_grad_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool2d_grad_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_grad_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_grad_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_max_unpool3d_grad_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mish_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mish_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mish_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mish_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mse_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mse_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mse_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_mse_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multi_head_attention_forward_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multi_head_attention_forward_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multi_head_attention_forward_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multi_margin_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multi_margin_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multilabel_margin_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multilabel_margin_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_nll_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_nll_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_nll_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_nll_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_normalize_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_normalize_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_normalize_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_normalize_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_normalize_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_normalize_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_one_hot_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_circular_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_constant_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_reflect_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pad_replicate_negative_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pairwise_distance_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pdist_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pdist_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_shuffle_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_pixel_unshuffle_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_poisson_nll_loss_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_prelu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_prelu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_prelu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_prelu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu6_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_relu_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rms_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rms_norm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rms_norm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rms_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rms_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rms_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rrelu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rrelu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_rrelu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_selu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_selu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_selu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_selu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_silu_complex_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_silu_complex_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_silu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_silu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_silu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_silu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_smooth_l1_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_smooth_l1_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_smooth_l1_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_soft_margin_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_soft_margin_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_soft_margin_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softmin_with_dtype_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softplus_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softplus_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softplus_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softplus_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softshrink_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softshrink_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softshrink_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softshrink_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_softsign_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_tanhshrink_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_threshold_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_loss_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_unfold_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_bilinear_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_bilinear_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_bilinear_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_bilinear_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_nearest_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_nearest_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_nearest_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_nearest_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nn_functional_upsample_nearest_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_nonzero_static_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_fro_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_fro_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_fro_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_fro_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_fro_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_fro_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_inf_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_nuc_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_nuc_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_nuc_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_norm_nuc_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_in_place_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_in_place_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_in_place_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_in_place_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_in_place_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_in_place_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_number_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_number_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_number_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_normal_number_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ones_like_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ormqr_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ormqr_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ormqr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ormqr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_outer_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pca_lowrank_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pca_lowrank_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pca_lowrank_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pca_lowrank_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_permute_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pinverse_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pinverse_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pinverse_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pinverse_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polar_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polar_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_2_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_3_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_polygamma_polygamma_n_4_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_positive_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_pow_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_prod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_put_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_qr_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_qr_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_qr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_qr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_quantile_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_quantile_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rad2deg_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rand_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randint_like_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_randn_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_ravel_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_real_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reciprocal_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_remainder_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_renorm_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_renorm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_renorm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_renorm_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_renorm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_renorm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_repeat_interleave_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_as_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_reshape_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize__cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resize_as__cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_conj_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_resolve_neg_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_roll_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rot90_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_0_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_0_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_3_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_3_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_3_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_neg_3_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_neg_3_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_round_decimals_neg_3_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsqrt_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_rsub_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scalar_tensor_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_add_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amax_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_amin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_mean_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_prod_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_scatter_reduce_sum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_searchsorted_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_select_scatter_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sgn_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_short_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sigmoid_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sign_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_bartlett_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_bartlett_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_blackman_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_blackman_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_cosine_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_cosine_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_exponential_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_exponential_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_gaussian_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_gaussian_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_general_cosine_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_general_cosine_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_general_hamming_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_general_hamming_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_hamming_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_hamming_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_hann_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_hann_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_kaiser_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_kaiser_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_nuttall_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signal_windows_nuttall_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_signbit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sin_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinc_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sinh_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_slice_scatter_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_softmax_with_dtype_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sort_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_mm_reduce_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_mm_reduce_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_mm_reduce_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_mm_reduce_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_sampled_addmm_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_sampled_addmm_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_sampled_addmm_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sparse_sampled_addmm_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_airy_ai_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_j1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_bessel_y1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_t_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_u_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_v_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_chebyshev_polynomial_w_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_entr_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_erfcx_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_h_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_hermite_polynomial_he_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i0e_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_i1e_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_laguerre_polynomial_l_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_legendre_polynomial_p_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_log_ndtr_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_i1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_modified_bessel_k1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtr_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_ndtri_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_polygamma_special_polygamma_n_0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_scaled_modified_bessel_k1_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_t_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_u_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_v_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_shifted_chebyshev_polynomial_w_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_spherical_bessel_j0_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_xlog1py_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_special_zeta_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_list_args_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_split_with_sizes_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sqrt_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_square_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_squeeze_multiple_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_unbiased_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_unbiased_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_unbiased_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_unbiased_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_unbiased_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_mean_unbiased_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_unbiased_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_unbiased_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_unbiased_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_unbiased_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_unbiased_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_std_unbiased_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stft_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stft_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stft_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_stft_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sub_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_sum_to_size_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_lowrank_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_lowrank_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_lowrank_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_svd_lowrank_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_t_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_along_dim_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_take_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tan_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tanh_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensor_split_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tensordot_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tile_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_to_sparse_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_topk_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch__scaled_mm_cpu_float8_e4m3fn, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch__scaled_mm_cpu_float8_e5m2, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trace_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_transpose_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapezoid_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trapz_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triangular_solve_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triangular_solve_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triangular_solve_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triangular_solve_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_indices_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_tril_indices_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_indices_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_triu_indices_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_true_divide_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_trunc_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unbind_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unflatten_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unfold_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_uniform_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_uniform_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_uniform_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_uniform_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_uniform_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_uniform_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_consecutive_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_uint16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_uint32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_uint64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unique_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unravel_index_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unravel_index_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unravel_index_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unravel_index_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unravel_index_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_chunk_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsafe_split_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_unsqueeze_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_unbiased_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_unbiased_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_unbiased_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_unbiased_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_unbiased_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_mean_unbiased_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_unbiased_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_unbiased_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_unbiased_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_unbiased_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_unbiased_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_var_unbiased_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vdot_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_complex_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_complex_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_complex_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_real_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_real_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_uint8 2025-08-14T22:33:39.3515394Z 2025-08-14T22:33:42.8625456Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:33:42.8628485Z import pkg_resources 2025-08-14T22:33:42.9862564Z Running test_datapipe 1/1 ... [2025-08-14 22:33:42.985945] 2025-08-14T22:33:42.9862976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:33:42.9865596Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_datapipe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:33:42.986339] 2025-08-14T22:34:00.5766511Z 2025-08-14T22:34:00.5767685Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_ab8049f044a75de4_.log 2025-08-14T22:34:00.5797311Z Running 94 items in this shard: test/test_datapipe.py::TestDataChunk::test_as_string, test/test_datapipe.py::TestDataChunk::test_getitem, test/test_datapipe.py::TestDataChunk::test_iter, test/test_datapipe.py::TestDataChunk::test_len, test/test_datapipe.py::TestDataChunk::test_random_shuffle, test/test_datapipe.py::TestDataChunk::test_reverse, test/test_datapipe.py::TestDataChunk::test_sort, test/test_datapipe.py::TestStreamWrapper::test_api, test/test_datapipe.py::TestStreamWrapper::test_dir, test/test_datapipe.py::TestStreamWrapper::test_pickle, test/test_datapipe.py::TestStreamWrapper::test_repr, test/test_datapipe.py::TestIterableDataPipeBasic::test_demux_mux_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_groupby_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfiles_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfilesdeterministic_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_map_with_col_file_handle_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_openfilesfromdisk_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_routeddecoder_iterable_datapipe, test/test_datapipe.py::TestCaptureDataFrame::test_basic_capture, test/test_datapipe.py::TestDataFramesPipes::test_batch, test/test_datapipe.py::TestDataFramesPipes::test_capture, test/test_datapipe.py::TestDataFramesPipes::test_collate, test/test_datapipe.py::TestDataFramesPipes::test_filter, test/test_datapipe.py::TestDataFramesPipes::test_shuffle, test/test_datapipe.py::TestDataFramesPipes::test_unbatch, test/test_datapipe.py::TestFunctionalIterDataPipe::test_batch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_collate_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_concat_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_demux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalIterDataPipe::test_filter_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_fork_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_iterable_wrapper_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_dict_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_tuple_list_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_mux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_sampler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalIterDataPipe::test_shuffler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_stream_reader_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_unbatch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_zip_iterdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_batch_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_concat_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalMapDataPipe::test_map_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_sequence_wrapper_datapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalMapDataPipe::test_shuffler_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_zip_mapdatapipe, test/test_datapipe.py::TestTyping::test_compile_time, test/test_datapipe.py::TestTyping::test_construct_time, test/test_datapipe.py::TestTyping::test_isinstance, test/test_datapipe.py::TestTyping::test_issubinstance, test/test_datapipe.py::TestTyping::test_protocol, test/test_datapipe.py::TestTyping::test_reinforce, test/test_datapipe.py::TestTyping::test_runtime, test/test_datapipe.py::TestTyping::test_subtype, test/test_datapipe.py::TestGraph::test_simple_traverse, test/test_datapipe.py::TestGraph::test_traverse_circular_datapipe, test/test_datapipe.py::TestGraph::test_traverse_forked, test/test_datapipe.py::TestGraph::test_traverse_mapdatapipe, test/test_datapipe.py::TestGraph::test_traverse_mixdatapipe, test/test_datapipe.py::TestGraph::test_traverse_unhashable_datapipe, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_iter, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_map, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_dill, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_pickle, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding_with_old_dataloader, test/test_datapipe.py::TestSharding::test_multi_sharding, test/test_datapipe.py::TestSharding::test_old_dataloader, test/test_datapipe.py::TestSharding::test_sharding_groups, test/test_datapipe.py::TestSharding::test_sharding_groups_in_legacy_grouping_package, test/test_datapipe.py::TestSharding::test_sharding_length, test/test_datapipe.py::TestSharding::test_simple_sharding, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_buggy, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_constraint_multiple_outputs, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_generator, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_new_object, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_self_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_return_self, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_non_generator, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_self_next, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_repeated, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_with_serialization 2025-08-14T22:34:00.5825952Z 2025-08-14T22:34:03.8482007Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:34:03.8483819Z import pkg_resources 2025-08-14T22:34:03.9726977Z Running test_bundled_inputs 1/1 ... [2025-08-14 22:34:03.972374] 2025-08-14T22:34:03.9727421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:34:03.9729916Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:34:03.972718] 2025-08-14T22:34:08.3438101Z 2025-08-14T22:34:08.3439013Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_53158d4bc9395869_.log 2025-08-14T22:34:08.3443611Z Running 12 items in this shard: test/test_bundled_inputs.py::TestBundledInputs::test_bad_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_dict_args, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_fail, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_non_mutator, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_success, test/test_bundled_inputs.py::TestBundledInputs::test_large_tensor_with_inflation, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_both_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_neither_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_non_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_rejected_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_single_tensors 2025-08-14T22:34:08.3447400Z 2025-08-14T22:34:11.6846280Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:34:11.6847783Z import pkg_resources 2025-08-14T22:34:11.8091076Z Running profiler/test_execution_trace 1/1 ... [2025-08-14 22:34:11.808805] 2025-08-14T22:34:11.8091550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:34:11.8095005Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:34:11.809207] 2025-08-14T22:34:15.8293759Z 2025-08-14T22:34:15.8295895Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_ce33dd0068eca4c4_.log 2025-08-14T22:34:15.8308668Z Running 13 items in this shard: test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_alone_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_disabled_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_nested_tensor_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_no_capture_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_data_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_range_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_repeat_in_loop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_start_stop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_triton_fx_graph_with_et_cpu 2025-08-14T22:34:15.8320692Z 2025-08-14T22:34:19.6218792Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:34:19.6221694Z import pkg_resources 2025-08-14T22:34:19.7456264Z Running lazy/test_generator 1/1 ... [2025-08-14 22:34:19.745246] 2025-08-14T22:34:19.7457092Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:34:19.7459340Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:34:19.745628] 2025-08-14T22:34:23.3156704Z 2025-08-14T22:34:23.3157622Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_10b4a693670cc08f_.log 2025-08-14T22:34:23.3158946Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles 2025-08-14T22:34:23.3159720Z 2025-08-14T22:34:26.7027459Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:34:26.7028947Z import pkg_resources 2025-08-14T22:34:26.8283019Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-08-14 22:34:26.827856] 2025-08-14T22:34:26.8283998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:34:26.8286228Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:34:26.828213] 2025-08-14T22:34:30.7482558Z 2025-08-14T22:34:30.7484167Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_18f2ea27002522df_.log 2025-08-14T22:34:30.7512378Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic 2025-08-14T22:34:30.7539575Z 2025-08-14T22:34:34.3804918Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:34:34.3806432Z import pkg_resources 2025-08-14T22:34:34.5049707Z Running test_maskedtensor 1/1 ... [2025-08-14 22:34:34.504583] 2025-08-14T22:34:34.5050514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:34:34.5052874Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:34:34.504959] 2025-08-14T22:34:56.2148819Z 2025-08-14T22:34:56.2149929Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_1f817a6b6c36dbaf_.log 2025-08-14T22:34:56.2784350Z Running 955 items in this shard: test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn0, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn1, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn10, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn11, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn12, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn13, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn14, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn15, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn16, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn17, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn18, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn19, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn2, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn20, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn21, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn22, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn23, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn24, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn25, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn26, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn27, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn28, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn29, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn3, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn30, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn31, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn32, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn33, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn34, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn35, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn36, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn37, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn38, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn39, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn4, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn40, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn41, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn42, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn43, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn44, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn45, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn46, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn47, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn48, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn49, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn5, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn50, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn51, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn52, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn53, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn54, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn55, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn56, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn57, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn6, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn7, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn8, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn9, test/test_maskedtensor.py::TestUnary::test_unary_fn0, test/test_maskedtensor.py::TestUnary::test_unary_fn1, test/test_maskedtensor.py::TestUnary::test_unary_fn10, test/test_maskedtensor.py::TestUnary::test_unary_fn11, test/test_maskedtensor.py::TestUnary::test_unary_fn12, test/test_maskedtensor.py::TestUnary::test_unary_fn13, test/test_maskedtensor.py::TestUnary::test_unary_fn14, test/test_maskedtensor.py::TestUnary::test_unary_fn15, test/test_maskedtensor.py::TestUnary::test_unary_fn16, test/test_maskedtensor.py::TestUnary::test_unary_fn17, test/test_maskedtensor.py::TestUnary::test_unary_fn18, test/test_maskedtensor.py::TestUnary::test_unary_fn19, test/test_maskedtensor.py::TestUnary::test_unary_fn2, test/test_maskedtensor.py::TestUnary::test_unary_fn20, test/test_maskedtensor.py::TestUnary::test_unary_fn21, test/test_maskedtensor.py::TestUnary::test_unary_fn22, test/test_maskedtensor.py::TestUnary::test_unary_fn23, test/test_maskedtensor.py::TestUnary::test_unary_fn24, test/test_maskedtensor.py::TestUnary::test_unary_fn25, test/test_maskedtensor.py::TestUnary::test_unary_fn26, test/test_maskedtensor.py::TestUnary::test_unary_fn27, test/test_maskedtensor.py::TestUnary::test_unary_fn28, test/test_maskedtensor.py::TestUnary::test_unary_fn29, test/test_maskedtensor.py::TestUnary::test_unary_fn3, test/test_maskedtensor.py::TestUnary::test_unary_fn30, test/test_maskedtensor.py::TestUnary::test_unary_fn31, test/test_maskedtensor.py::TestUnary::test_unary_fn32, test/test_maskedtensor.py::TestUnary::test_unary_fn33, test/test_maskedtensor.py::TestUnary::test_unary_fn34, test/test_maskedtensor.py::TestUnary::test_unary_fn35, test/test_maskedtensor.py::TestUnary::test_unary_fn36, test/test_maskedtensor.py::TestUnary::test_unary_fn37, test/test_maskedtensor.py::TestUnary::test_unary_fn38, test/test_maskedtensor.py::TestUnary::test_unary_fn39, test/test_maskedtensor.py::TestUnary::test_unary_fn4, test/test_maskedtensor.py::TestUnary::test_unary_fn40, test/test_maskedtensor.py::TestUnary::test_unary_fn41, test/test_maskedtensor.py::TestUnary::test_unary_fn42, test/test_maskedtensor.py::TestUnary::test_unary_fn43, test/test_maskedtensor.py::TestUnary::test_unary_fn44, test/test_maskedtensor.py::TestUnary::test_unary_fn45, test/test_maskedtensor.py::TestUnary::test_unary_fn46, test/test_maskedtensor.py::TestUnary::test_unary_fn47, test/test_maskedtensor.py::TestUnary::test_unary_fn48, test/test_maskedtensor.py::TestUnary::test_unary_fn49, test/test_maskedtensor.py::TestUnary::test_unary_fn5, test/test_maskedtensor.py::TestUnary::test_unary_fn50, test/test_maskedtensor.py::TestUnary::test_unary_fn51, test/test_maskedtensor.py::TestUnary::test_unary_fn52, test/test_maskedtensor.py::TestUnary::test_unary_fn53, test/test_maskedtensor.py::TestUnary::test_unary_fn54, test/test_maskedtensor.py::TestUnary::test_unary_fn55, test/test_maskedtensor.py::TestUnary::test_unary_fn56, test/test_maskedtensor.py::TestUnary::test_unary_fn57, test/test_maskedtensor.py::TestUnary::test_unary_fn58, test/test_maskedtensor.py::TestUnary::test_unary_fn59, test/test_maskedtensor.py::TestUnary::test_unary_fn6, test/test_maskedtensor.py::TestUnary::test_unary_fn60, test/test_maskedtensor.py::TestUnary::test_unary_fn61, test/test_maskedtensor.py::TestUnary::test_unary_fn7, test/test_maskedtensor.py::TestUnary::test_unary_fn8, test/test_maskedtensor.py::TestUnary::test_unary_fn9, test/test_maskedtensor.py::TestBinary::test_binary_fn0, test/test_maskedtensor.py::TestBinary::test_binary_fn1, test/test_maskedtensor.py::TestBinary::test_binary_fn10, test/test_maskedtensor.py::TestBinary::test_binary_fn11, test/test_maskedtensor.py::TestBinary::test_binary_fn12, test/test_maskedtensor.py::TestBinary::test_binary_fn13, test/test_maskedtensor.py::TestBinary::test_binary_fn14, test/test_maskedtensor.py::TestBinary::test_binary_fn15, test/test_maskedtensor.py::TestBinary::test_binary_fn16, test/test_maskedtensor.py::TestBinary::test_binary_fn17, test/test_maskedtensor.py::TestBinary::test_binary_fn18, test/test_maskedtensor.py::TestBinary::test_binary_fn19, test/test_maskedtensor.py::TestBinary::test_binary_fn2, test/test_maskedtensor.py::TestBinary::test_binary_fn20, test/test_maskedtensor.py::TestBinary::test_binary_fn21, test/test_maskedtensor.py::TestBinary::test_binary_fn22, test/test_maskedtensor.py::TestBinary::test_binary_fn23, test/test_maskedtensor.py::TestBinary::test_binary_fn24, test/test_maskedtensor.py::TestBinary::test_binary_fn25, test/test_maskedtensor.py::TestBinary::test_binary_fn26, test/test_maskedtensor.py::TestBinary::test_binary_fn27, test/test_maskedtensor.py::TestBinary::test_binary_fn28, test/test_maskedtensor.py::TestBinary::test_binary_fn29, test/test_maskedtensor.py::TestBinary::test_binary_fn3, test/test_maskedtensor.py::TestBinary::test_binary_fn30, test/test_maskedtensor.py::TestBinary::test_binary_fn31, test/test_maskedtensor.py::TestBinary::test_binary_fn32, test/test_maskedtensor.py::TestBinary::test_binary_fn33, test/test_maskedtensor.py::TestBinary::test_binary_fn34, test/test_maskedtensor.py::TestBinary::test_binary_fn35, test/test_maskedtensor.py::TestBinary::test_binary_fn4, test/test_maskedtensor.py::TestBinary::test_binary_fn5, test/test_maskedtensor.py::TestBinary::test_binary_fn6, test/test_maskedtensor.py::TestBinary::test_binary_fn7, test/test_maskedtensor.py::TestBinary::test_binary_fn8, test/test_maskedtensor.py::TestBinary::test_binary_fn9, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn0, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn1, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn10, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn11, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn12, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn13, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn14, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn15, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn16, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn17, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn18, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn19, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn2, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn20, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn21, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn22, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn23, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn24, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn25, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn26, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn27, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn28, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn29, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn3, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn4, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn5, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn6, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn7, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn8, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn9, test/test_maskedtensor.py::TestBinary::test_masks_match_fn_name_add, test/test_maskedtensor.py::TestBinary::test_masks_match_fn_name_add_, test/test_maskedtensor.py::TestReductions::test__is_any_true, test/test_maskedtensor.py::TestReductions::test__is_any_true_false, test/test_maskedtensor.py::TestReductions::test_all, test/test_maskedtensor.py::TestReductions::test_amax, test/test_maskedtensor.py::TestReductions::test_amax_grad, test/test_maskedtensor.py::TestReductions::test_amin, test/test_maskedtensor.py::TestReductions::test_amin_grad, test/test_maskedtensor.py::TestReductions::test_any_true_dtype, test/test_maskedtensor.py::TestReductions::test_backward, test/test_maskedtensor.py::TestReductions::test_grad_dtype, test/test_maskedtensor.py::TestReductions::test_max_not_implemented, test/test_maskedtensor.py::TestReductions::test_mean, test/test_maskedtensor.py::TestReductions::test_mean_dim_grad, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1a, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1b, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1c, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1d, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1e, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1f, test/test_maskedtensor.py::TestReductions::test_prod, test/test_maskedtensor.py::TestReductions::test_prod_grad, test/test_maskedtensor.py::TestReductions::test_sum, test/test_maskedtensor.py::TestReductions::test_sum_grad, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_add_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_atan2_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_floor_rounding_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_no_rounding_mode_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_div_trunc_rounding_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_eq_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_floor_divide_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmax_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_fmod_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ge_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_gt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_le_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_logaddexp_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_lt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_maximum_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_minimum_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_mul_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_ne_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_nextafter_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_remainder_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_sub_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_binary_core_true_divide_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amax_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_amin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmax_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_argmin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_prod_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_reduction_all_sum_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_abs_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acos_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_acosh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_angle_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_asinh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atan_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_atanh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_ceil_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_conj_physical_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cos_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_cosh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_deg2rad_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_digamma_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erf_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfc_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_erfinv_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp2_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_exp_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_expm1_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_floor_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_frac_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_i0_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_isnan_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_lgamma_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log10_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log1p_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log2_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_log_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_logit_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_nan_to_num_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_neg_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_positive_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rad2deg_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_reciprocal_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_0_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_3_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_3_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_3_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_3_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_3_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_3_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_neg_3_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_neg_3_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_neg_3_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_neg_3_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_neg_3_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_decimals_neg_3_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_round_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float64, test/test_maskedtensor.py::TestBasicsCPU::test_add_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_contiguous_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_dim_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_layouts_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_sizes_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_grad_warning_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_coo_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_csr_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_layout_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_tensor_inputs_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_nn_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_softmax_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_stack_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_coo_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_csr_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_device_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dtype_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_sparse_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_where_cpu 2025-08-14T22:34:56.3409380Z 2025-08-14T22:35:00.0288697Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:35:00.0290172Z import pkg_resources 2025-08-14T22:35:00.1537571Z Running test_tensorboard 1/1 ... [2025-08-14 22:35:00.153479] 2025-08-14T22:35:00.1537992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:35:00.1540420Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorboard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:35:00.153820] 2025-08-14T22:35:04.6255158Z 2025-08-14T22:35:04.6256299Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_5005e3ee45e99f7f_.log 2025-08-14T22:35:04.6284672Z Running 50 items in this shard: test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_autograd_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram_raw, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_write, test/test_tensorboard.py::TestTensorBoardUtils::test_convert_to_HWC_dtype_remains_same, test/test_tensorboard.py::TestTensorBoardUtils::test_numpy_vid_uint8, test/test_tensorboard.py::TestTensorBoardUtils::test_prepare_video, test/test_tensorboard.py::TestTensorBoardUtils::test_to_HWC, test/test_tensorboard.py::TestTensorBoardWriter::test_writer, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_pathlib, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_close, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_ctx, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding_64, test/test_tensorboard.py::TestTensorBoardSummary::test_audio, test/test_tensorboard.py::TestTensorBoardSummary::test_custom_scalars, test/test_tensorboard.py::TestTensorBoardSummary::test_empty_input, test/test_tensorboard.py::TestTensorBoardSummary::test_float32_image, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_auto, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_doane, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_fd, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_3_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_boxes, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_without_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_list_input, test/test_tensorboard.py::TestTensorBoardSummary::test_mesh, test/test_tensorboard.py::TestTensorBoardSummary::test_scalar_new_style, test/test_tensorboard.py::TestTensorBoardSummary::test_text, test/test_tensorboard.py::TestTensorBoardSummary::test_uint8_image, test/test_tensorboard.py::TestTensorBoardSummary::test_video, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_mlp_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_nested_nn_squential, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph_dict_input, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_torchvision_smoke, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_wrong_input_size, test/test_tensorboard.py::TestTensorBoardFigure::test_figure, test/test_tensorboard.py::TestTensorBoardFigure::test_figure_list, test/test_tensorboard.py::TestTensorBoardNumpy::test_pytorch_np_expect_fail, test/test_tensorboard.py::TestTensorBoardNumpy::test_scalar, test/test_tensorboard.py::TestTensorProtoSummary::test_complex_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_empty_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_float_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_bfloat16_proto_type_14, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_float16_proto_type_19, test/test_tensorboard.py::TestTensorProtoSummary::test_int_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_scalar_tensor_proto 2025-08-14T22:35:04.6311295Z 2025-08-14T22:35:07.9451523Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:35:07.9454447Z import pkg_resources 2025-08-14T22:35:08.0689359Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-08-14 22:35:08.068546] 2025-08-14T22:35:08.0690360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:35:08.0692597Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:35:08.068910] 2025-08-14T22:35:10.3355022Z 2025-08-14T22:35:10.3355966Z functorch/test_aotdispatch 4/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_4.6_5fd0ed47d729e448_.log 2025-08-14T22:35:10.3530491Z Running 346 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_module, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_saved_tensors_hooks_mutations_raise, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_squeeze_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_ban_dropout_mut_pre_dispatch, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_forward_mutation_multiple_mut, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_forward_mutation_no_buffer_mut, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_parameter_banned, test/functorch/test_aotdispatch.py::TestPartitioning::test_meta_tensor_inplace_op, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_save_shape, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_incorrect_backward, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_mutation_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_dynamic, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_inference_python_dispatcher, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_base_saved_tensors_hooks_filtering_mode_no_static, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_subclass_parameters, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_passthrough_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmatmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmod___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addbmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmm_decomposed_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_partial_views_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_baddbmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bernoulli_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bfloat16_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_byte_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cdist_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_ceil_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cholesky_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_min_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_conj_physical_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_contiguous_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_copysign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cos_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cov_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cumsum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_double_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_dsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_empty_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_empty_strided_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_eq_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_erf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_exp2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_as_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_eye_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_fft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_ifftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_irfftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_flex_attention_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_gather_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_histogramdd_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_hypot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_igamma_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_int_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isinf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isposinf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_item_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_cond_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_eigh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_ldl_factor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_lu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_vector_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_log1p_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logical_or_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logspace_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_lu_unpack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_log_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_movedim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_multinomial_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_ne_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_batch_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_celu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_conv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_dropout_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_elu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_embedding_bag_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_group_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_layer_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_normalize_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_threshold_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_normal_number_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_permute_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_polar_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_pow_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_put_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_remainder_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_renorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_repeat_interleave_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_resolve_neg_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_scatter_reduce_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_scatter_reduce_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_scatter_reduce_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_sgn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_signal_windows_hann_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_airy_ai_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_bessel_j0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_bessel_j1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_erfcx_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_i0e_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_split_with_sizes_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_squeeze_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_std_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_to_sparse_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_triangular_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_true_divide_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_unique_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_var_mean_unbiased_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_var_unbiased_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_zeros_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___radd___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive___rmod___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive__native_batch_norm_legit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_argwhere_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_atleast_1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_broadcast_to_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cdist_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cfloat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_char_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_clone_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_copysign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_cumsum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_digamma_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_div_no_rounding_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_einsum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_exponential_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_fftshift_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_fft_rfftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_float_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_geometric_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_histc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_igammac_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_put_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_reduce_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_invoke_quant_packed_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_invoke_subgraph_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isclose_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_isneginf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_unary_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_diagonal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_inv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lstsq_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_power_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_multi_dot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_slogdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linspace_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logcumsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_or_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_cumprod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_cumsum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_sum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_median_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_min_binary_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_multinomial_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_mv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_native_batch_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_new_full_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nextafter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_prelu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pca_lowrank_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_pinverse_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_remainder_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_repeat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resize_as__cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rot90_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_round_decimals_0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_scatter_reduce_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_searchsorted_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sgn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_cosine_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_exponential_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_general_hamming_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sinh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sparse_mm_reduce_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_i1e_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_split_list_args_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_squeeze_multiple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_tril_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unsafe_split_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_vsplit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_xlogy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_AvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BatchNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LSTM_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MSELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MarginRankingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNNCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BCELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BCEWithLogitsLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConstantPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConstantPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_FractionalMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiLabelMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReplicationPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_and_inplace_view 2025-08-14T22:35:10.3700979Z 2025-08-14T22:35:12.0402943Z 2025-08-14T22:35:12.0405213Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_794a50b4058601b7_.log 2025-08-14T22:35:12.0437328Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray 2025-08-14T22:35:12.0468230Z 2025-08-14T22:35:13.7568472Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:35:13.7571268Z import pkg_resources 2025-08-14T22:35:13.8811793Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 22:35:13.880847] 2025-08-14T22:35:13.8812299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:35:13.8814551Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:35:13.881212] 2025-08-14T22:35:15.7384824Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:35:15.7387811Z import pkg_resources 2025-08-14T22:35:15.8635680Z Running test_mkldnn_fusion 1/1 ... [2025-08-14 22:35:15.863254] 2025-08-14T22:35:15.8637538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:35:15.8638612Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:35:15.863616] 2025-08-14T22:35:37.3883900Z 2025-08-14T22:35:37.3887827Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_3f24b218b9f3998d_.log 2025-08-14T22:35:37.4210837Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-08-14T22:35:37.4443444Z 2025-08-14T22:35:42.6156153Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:35:42.6159951Z import pkg_resources 2025-08-14T22:35:42.8519059Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-08-14 22:35:42.851440] 2025-08-14T22:35:42.8520036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:35:42.8523371Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:35:42.851991] 2025-08-14T22:35:48.6782698Z 2025-08-14T22:35:48.6784422Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_b457a598771e2d97_.log 2025-08-14T22:35:48.6792632Z Running 9 items in this shard: test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_adaptive_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_cpp_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_compare, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_cpp_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_fuzzer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_manipulate_callgrind_stats, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer_tiny_fast_snippet 2025-08-14T22:35:48.6799417Z 2025-08-14T22:35:52.4747606Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:35:52.4750816Z import pkg_resources 2025-08-14T22:35:52.6013104Z Running test_linalg 1/1 ... [2025-08-14 22:35:52.600894] 2025-08-14T22:35:52.6014288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:35:52.6017826Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:35:52.601325] 2025-08-14T22:35:59.1597758Z 2025-08-14T22:35:59.1599169Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_2e9a9a772fd9d5fd_.log 2025-08-14T22:35:59.1605189Z Running 8 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_transpose_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_nnc, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_single_conv, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_unsupported_conv 2025-08-14T22:35:59.1610176Z 2025-08-14T22:36:02.5617934Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:36:02.5619449Z import pkg_resources 2025-08-14T22:36:02.6891022Z Running test_accelerator 1/1 ... [2025-08-14 22:36:02.688785] 2025-08-14T22:36:02.6891469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:36:02.6893858Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 22:36:02.689137] 2025-08-14T22:36:05.9785356Z 2025-08-14T22:36:05.9786739Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_a8a587c8b145919c_.log 2025-08-14T22:36:05.9788181Z 2025-08-14T22:36:10.0855738Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:36:10.0857980Z import pkg_resources 2025-08-14T22:37:32.6870354Z 2025-08-14T22:37:32.6872951Z functorch/test_ops 1/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.6_a01bcd61c40de8e9_.log 2025-08-14T22:37:32.7513762Z Running 1735 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_data_write_errors_under_transform_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_log_softmax_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amin_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmin_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ceil_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_expand_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_unbind_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_reshape_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_vjp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_multiple_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_put_accumulate_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_block_diag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_complex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gather_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hash_tensor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogram_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_unary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_multi_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vector_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_tensor_overload_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmedian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softplus_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_tanhshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_fro_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_remainder_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rot90_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_mm_reduce_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_he_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_spherical_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sqrt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyTakeAutogradFunction_cpu_float32 2025-08-14T22:37:32.8139539Z 2025-08-14T22:37:33.8913629Z Uploading artifacts took 1.20 seconds 2025-08-14T22:37:36.0607507Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:37:36.0610072Z import pkg_resources 2025-08-14T22:38:54.5286008Z 2025-08-14T22:38:54.5286807Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_e0b2903348166100_.log 2025-08-14T22:38:54.5706210Z Running 1240 items in this shard: test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float64, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_128_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_32_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_128_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_32_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_large_shape_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_48_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_48_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_48_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_48_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_64_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_64_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_64_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_64_n_64_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_48_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_48_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_48_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_48_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_64_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_64_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_64_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_32_n_64_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_48_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_48_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_48_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_48_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_64_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_64_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_64_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_64_k_64_n_64_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_0_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_17_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_0_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_16_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_16_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_False_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_False_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_True_use_transpose_b_False_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_0_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_1_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_cpu_m_8_k_32_n_32_use_transpose_a_True_use_transpose_b_True_non_contig_type_2_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_errors_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_16_use_transpose_a_False_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_16_use_transpose_a_False_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_16_use_transpose_a_True_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_16_use_transpose_a_True_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_32_use_transpose_a_False_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_32_use_transpose_a_False_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_32_use_transpose_a_True_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_16_n_32_use_transpose_a_True_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_16_use_transpose_a_False_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_16_use_transpose_a_False_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_16_use_transpose_a_True_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_16_use_transpose_a_True_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_32_use_transpose_a_False_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_32_use_transpose_a_True_use_transpose_b_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int_mm_k_32_n_32_use_transpose_a_True_use_transpose_b_True_cpu, test/test_linalg.py::TestLinalgCPU::test_addbmm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addbmm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_addbmm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_addbmm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addbmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addbmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmm_baddbmm_overflow_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_addmm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_addmm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmm_gelu_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_gelu_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_gelu_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_0_2_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_False_alpha_1_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_0_2_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_False_transpose_b_True_alpha_1_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_0_2_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_False_alpha_1_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_5_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_tunableop_rocm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_tunableop_rocm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_tunableop_rocm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmm_sizes_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_sizes_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmv_rowmajor_colmajor_incx_incy_lda_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmv_rowmajor_colmajor_incx_incy_lda_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addr_bool_cpu_bool, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addr_integral_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_addr_integral_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_addr_integral_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_addr_integral_cpu_int8, test/test_linalg.py::TestLinalgCPU::test_addr_integral_cpu_uint8, test/test_linalg.py::TestLinalgCPU::test_addr_type_promotion_cpu, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_nan_input_with_zero_beta_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_int8, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_uint8, test/test_linalg.py::TestLinalgCPU::test_blas_empty_cpu, test/test_linalg.py::TestLinalgCPU::test_blas_mv_large_input_cpu, test/test_linalg.py::TestLinalgCPU::test_blas_nan_out_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_blas_nan_out_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_blas_nan_out_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_blas_nan_out_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_blas_nan_out_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_blas_nan_out_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_blaslog_tunableop_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_bmm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_bmm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_bmm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_bmm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_bmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_bmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_bmm_tunableop_rocm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_broadcast_batched_matmul_cpu, test/test_linalg.py::TestLinalgCPU::test_broadcast_fused_matmul_cpu, test/test_linalg.py::TestLinalgCPU::test_call_count_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_chain_matmul_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_backward_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ck_blas_library_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int8, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_uint8, test/test_linalg.py::TestLinalgCPU::test_cross_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cross_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cross_error_cpu, test/test_linalg.py::TestLinalgCPU::test_cross_with_and_without_dim_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cross_with_and_without_dim_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_det_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_det_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_det_logdet_slogdet_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_det_logdet_slogdet_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_disable_tuning_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_dot_invalid_args_cpu, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_dump_results_on_exit_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eig_check_magma_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eig_compare_backends_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eig_compare_backends_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eig_compare_backends_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eig_compare_backends_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eig_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eig_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eig_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eig_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eig_numpy_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eig_numpy_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eig_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_eig_with_nan_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eig_with_nan_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eig_with_nan_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eig_with_nan_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigh_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigh_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigh_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigh_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigh_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigh_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigh_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigh_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigh_lower_uplo_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigh_lower_uplo_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigh_lower_uplo_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigh_lower_uplo_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigh_lwork_lapack_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigh_lwork_lapack_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigh_lwork_lapack_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigh_lwork_lapack_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigh_svd_illcondition_matrix_input_should_not_crash_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigh_svd_illcondition_matrix_input_should_not_crash_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigvals_compare_backends_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigvals_compare_backends_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigvals_compare_backends_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigvals_compare_backends_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigvals_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigvals_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigvals_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigvals_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigvals_numpy_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigvals_numpy_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_eigvalsh_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_einsum_corner_cases_cpu, test/test_linalg.py::TestLinalgCPU::test_einsum_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_einsum_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_einsum_error_cases_cpu, test/test_linalg.py::TestLinalgCPU::test_einsum_random_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_einsum_random_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_einsum_sublist_format_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_einsum_sublist_format_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_32_k_32_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_32_k_35_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_32_k_36_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_32_k_40_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_32_k_64_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_35_k_32_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_35_k_35_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_35_k_36_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_35_k_40_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_35_k_64_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_36_k_32_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_36_k_35_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_36_k_36_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_36_k_40_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_36_k_64_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_40_k_32_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_40_k_35_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_40_k_36_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_40_k_40_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_40_k_64_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_64_k_32_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_64_k_35_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_64_k_36_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_64_k_40_cpu, test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_64_k_64_cpu, test/test_linalg.py::TestLinalgCPU::test_gemm_bias_offline_tunableop_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_gemm_bias_tunableop_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_householder_product_errors_and_warnings_cpu, test/test_linalg.py::TestLinalgCPU::test_inner_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inner_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_invariance_error_spectral_decompositions_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lapack_empty_cpu, test/test_linalg.py::TestLinalgCPU::test_large_bmm_backward_cpu, test/test_linalg.py::TestLinalgCPU::test_large_bmm_mm_backward_cpu, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_with_and_without_dim_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_with_and_without_dim_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_batch_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_batch_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_compare_with_taylor_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_compare_with_taylor_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_compare_with_taylor_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_compare_with_taylor_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_no_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_perverse_nan_values_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_perverse_nan_values_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_perverse_nan_values_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_perverse_nan_values_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_utils_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_utils_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_qr_autograd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_large_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_large_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_large_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_large_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linear_algebra_scalar_raises_cpu, test/test_linalg.py::TestLinalgCPU::test_lobpcg_basic_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lobpcg_ortho_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lobpcg_scipy_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lobpcg_torchscript_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lower_precision_accumulation_with_ref_path_cpu, test/test_linalg.py::TestLinalgCPU::test_lstsq_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_lu_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_lu_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_lu_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_large_matrices_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_lu_solve_large_matrices_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_lu_solve_large_matrices_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_lu_solve_large_matrices_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lu_unpack_check_input_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matmul_45724_cpu, test/test_linalg.py::TestLinalgCPU::test_matmul_check_entries_tunableop_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_matmul_mv_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_matmul_mv_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_matmul_mv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_offline_mgpu_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_offline_tunableop_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_matmul_out_kernel_errors_with_autograd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matmul_out_kernel_errors_with_autograd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_1d_Nd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_1d_Nd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_1d_Nd_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_2d_Nd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_2d_Nd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_2d_Nd_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_3d_Nd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_3d_Nd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_3d_Nd_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_tunableop_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matmul_small_brute_force_tunableop_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_norm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matrix_norm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_power_negative_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_power_negative_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_power_non_negative_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_power_non_negative_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_atol_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_atol_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_atol_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_atol_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_atol_rtol_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_basic_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_basic_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_basic_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_basic_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_matrix_rank_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_minimum_tuning_iteration_tunableop_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_mm_bmm_non_memory_dense_cpu, test/test_linalg.py::TestLinalgCPU::test_mm_conjtranspose_cpu, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_mm_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_mm_empty_inputs_mixed_dtype_errors_cpu, test/test_linalg.py::TestLinalgCPU::test_mm_submatrix_offline_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_multi_dot_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_multi_dot_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_multi_dot_errors_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_bfloat16_and_half_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_norm_bfloat16_and_half_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_norm_complex_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_norm_complex_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_norm_complex_old_cpu, test/test_linalg.py::TestLinalgCPU::test_norm_complexhalf_cpu, test/test_linalg.py::TestLinalgCPU::test_norm_dtype_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_norm_dtype_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_norm_dtype_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_norm_dtype_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_norm_dtype_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_dtype_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_norm_errors_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_errors_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_norm_extreme_values_cpu, test/test_linalg.py::TestLinalgCPU::test_norm_fastpaths_cpu, test/test_linalg.py::TestLinalgCPU::test_norm_fro_2_equivalence_old_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_fused_type_promotion_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_norm_fused_type_promotion_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_norm_matrix_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_matrix_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_norm_old_cpu, test/test_linalg.py::TestLinalgCPU::test_norm_old_nan_propagation_cpu, test/test_linalg.py::TestLinalgCPU::test_norm_vector_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_vector_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_norm_vector_degenerate_shapes_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_norm_vector_degenerate_shapes_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_norm_vector_degenerate_shapes_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_norm_vector_degenerate_shapes_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_nuclear_norm_axes_small_brute_force_old_cpu, test/test_linalg.py::TestLinalgCPU::test_nuclear_norm_exceptions_old_cpu, test/test_linalg.py::TestLinalgCPU::test_nuclear_norm_out_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_nuclear_norm_out_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_numeric_check_leak_tunableop_rocm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_upper_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_upper_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_upper_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_batched_upper_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_old_cholesky_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ormqr_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_ormqr_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_ormqr_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_ormqr_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ormqr_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_ormqr_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_ormqr_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_ormqr_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_bool, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_int8, test/test_linalg.py::TestLinalgCPU::test_outer_cpu_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_ger_addr_legacy_tests_cpu, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex128_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_complex64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float32_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_uint8, test/test_linalg.py::TestLinalgCPU::test_pca_lowrank_cpu, test/test_linalg.py::TestLinalgCPU::test_permute_matmul_cpu, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_preferred_blas_library_cpu, test/test_linalg.py::TestLinalgCPU::test_preferred_linalg_library_cpu, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_qr_error_cases_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_renorm_cpu, test/test_linalg.py::TestLinalgCPU::test_renorm_ps_cpu, test/test_linalg.py::TestLinalgCPU::test_rotating_buffer_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_rowwise_scaled_gemm_numerics_tunableop_cpu_float8_e4m3fnuz, test/test_linalg.py::TestLinalgCPU::test_scaled_gemm_offline_tunableop_cpu_float8_e4m3fnuz, test/test_linalg.py::TestLinalgCPU::test_scaled_gemm_offline_tunableop_cpu_float8_e5m2fnuz, test/test_linalg.py::TestLinalgCPU::test_scaled_gemm_tunableop_cpu_float8_e4m3fnuz, test/test_linalg.py::TestLinalgCPU::test_scaled_gemm_tunableop_cpu_float8_e5m2fnuz, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_slogdet_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_strided_mm_bmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_strided_mm_bmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_lowrank_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_lowrank_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_symeig_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_tensordot_cpu, test/test_linalg.py::TestLinalgCPU::test_tensordot_out_kernel_errors_with_autograd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensordot_out_kernel_errors_with_autograd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorsolve_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tf32_offline_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tf32_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_large_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_validator_tunableop_rocm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vdot_invalid_args_cpu, test/test_linalg.py::TestLinalgCPU::test_vdot_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vdot_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_decom_unbacked_checks_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_dim_tuple_arg_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_extreme_values_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float64 2025-08-14T22:38:54.6112832Z 2025-08-14T22:38:55.3523448Z Running test batch 'tests to run' cost 5351.09 seconds 2025-08-14T22:38:56.4590155Z 2025-08-14T22:38:56.4590462Z real 89m16.209s 2025-08-14T22:38:56.4590734Z user 481m38.414s 2025-08-14T22:38:56.4590964Z sys 36m14.341s 2025-08-14T22:38:56.4591183Z + assert_git_not_dirty 2025-08-14T22:38:56.4591478Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-14T22:38:56.4591833Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-08-14T22:38:56.4596404Z ++ git status --porcelain 2025-08-14T22:38:56.4597155Z ++ grep -v '?? third_party' 2025-08-14T22:39:25.5805929Z ++ true 2025-08-14T22:39:25.5808134Z + git_status= 2025-08-14T22:39:25.5808439Z + [[ -n '' ]] 2025-08-14T22:39:25.5808662Z + test_aten 2025-08-14T22:39:25.5808978Z + echo 'Running ATen tests with pytorch lib' 2025-08-14T22:39:25.5809376Z Running ATen tests with pytorch lib 2025-08-14T22:39:25.5809681Z + [[ -n '' ]] 2025-08-14T22:39:25.5810106Z + echo 'Running test with the build folder' 2025-08-14T22:39:25.5810433Z Running test with the build folder 2025-08-14T22:39:25.5810738Z + TEST_BASE_DIR=build/bin 2025-08-14T22:39:25.5811207Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so build/bin 2025-08-14T22:39:25.5835321Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2*' build/bin 2025-08-14T22:39:25.5845342Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libmkldnn*' build/bin 2025-08-14T22:39:25.5855367Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnccl*' build/bin 2025-08-14T22:39:25.5867626Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-08-14T22:39:25.5875676Z + ls build/bin 2025-08-14T22:39:25.5919442Z BackoffTest c10_typeid_test 2025-08-14T22:39:25.5919922Z CMakeFiles cmake_install.cmake 2025-08-14T22:39:25.5920484Z CTestTestfile.cmake cpu_allocator_test 2025-08-14T22:39:25.5921098Z CppSignature_test cpu_generator_test 2025-08-14T22:39:25.5921548Z Dict_test cpu_profiling_allocator_test 2025-08-14T22:39:25.5921902Z Dimname_test cpu_rng_test 2025-08-14T22:39:25.5922214Z FileStoreTest dlconvertor_test 2025-08-14T22:39:25.5922578Z HashStoreTest example_allreduce 2025-08-14T22:39:25.5922977Z IListRef_test extension_backend_test 2025-08-14T22:39:25.5923328Z KernelFunction_test half_test 2025-08-14T22:39:25.5923856Z List_test inline_container_test 2025-08-14T22:39:25.5924178Z MaybeOwned_test ivalue_test 2025-08-14T22:39:25.5924541Z NamedTensor_test kernel_function_legacy_test 2025-08-14T22:39:25.5924964Z ProcessGroupGlooTest kernel_function_test 2025-08-14T22:39:25.5925361Z StorageUtils_test kernel_lambda_legacy_test 2025-08-14T22:39:25.5925739Z TCPStoreTest kernel_lambda_test 2025-08-14T22:39:25.5926094Z apply_utils_test kernel_stackbased_test 2025-08-14T22:39:25.5926436Z atest lazy_tensor_test 2025-08-14T22:39:25.5926749Z backend_fallback_test legacy_vmap_test 2025-08-14T22:39:25.5927090Z basic libc10.so 2025-08-14T22:39:25.5927365Z broadcast_test 'libcaffe2*' 2025-08-14T22:39:25.5927684Z c10_AllocatorConfig_test 'libmkldnn*' 2025-08-14T22:39:25.5928011Z c10_ArrayRef_test 'libnccl*' 2025-08-14T22:39:25.5928313Z c10_Bitset_test libtorch.so 2025-08-14T22:39:25.5928661Z c10_CompileTimeFunctionPointer_test libtorch_cpu.so 2025-08-14T22:39:25.5929087Z c10_ConstexprCrc_test libtorch_global_deps.so 2025-08-14T22:39:25.5929570Z c10_DeadlockDetection_test libtorch_python.so 2025-08-14T22:39:25.5929969Z c10_DeviceGuard_test libtorchbind_test.so 2025-08-14T22:39:25.5930372Z c10_Device_test make_boxed_from_unboxed_functor_test 2025-08-14T22:39:25.5930785Z c10_DispatchKeySet_test math_kernel_test 2025-08-14T22:39:25.5931153Z c10_Enumerate_test memory_format_test 2025-08-14T22:39:25.5931506Z c10_Half_test memory_overlapping_test 2025-08-14T22:39:25.5931905Z c10_InlineDeviceGuard_test mobile_memory_cleanup 2025-08-14T22:39:25.5932306Z c10_InlineStreamGuard_test native_test 2025-08-14T22:39:25.5932721Z c10_IntrusiveList_test op_allowlist_test 2025-08-14T22:39:25.5933099Z c10_LeftRight_test op_registration_test 2025-08-14T22:39:25.5933483Z c10_Metaprogramming_test operator_name_test 2025-08-14T22:39:25.5933865Z c10_NetworkFlow_test operators_test 2025-08-14T22:39:25.5934228Z c10_Scalar_test packedtensoraccessor_test 2025-08-14T22:39:25.5934667Z c10_Semaphore_test parallel_benchmark 2025-08-14T22:39:25.5935023Z c10_SizesAndStrides_test pow_test 2025-08-14T22:39:25.5935341Z c10_StreamGuard_test protoc 2025-08-14T22:39:25.5935660Z c10_SymInt_test protoc-3.13.0.0 2025-08-14T22:39:25.5936006Z c10_Synchronized_test quantized_test 2025-08-14T22:39:25.5936353Z c10_ThreadLocal_test reduce_ops_test 2025-08-14T22:39:25.5936723Z c10_TypeIndex_test reportMemoryUsage_test 2025-08-14T22:39:25.5937099Z c10_TypeList_test scalar_tensor_test 2025-08-14T22:39:25.5937426Z c10_TypeTraits_test scalar_test 2025-08-14T22:39:25.5937782Z c10_accumulate_test static_runtime_bench 2025-08-14T22:39:25.5938146Z c10_bfloat16_test static_runtime_test 2025-08-14T22:39:25.5938507Z c10_bit_cast_test stride_properties_test 2025-08-14T22:39:25.5938871Z c10_complex_math_test tensor_iterator_test 2025-08-14T22:39:25.5939222Z c10_complex_test test_api 2025-08-14T22:39:25.5939524Z c10_cow_test test_cpp_rpc 2025-08-14T22:39:25.5939820Z c10_error_test test_dist_autograd 2025-08-14T22:39:25.5940143Z c10_exception_test test_jit 2025-08-14T22:39:25.5940440Z c10_flags_test test_lazy 2025-08-14T22:39:25.5940737Z c10_generic_math_test test_nativert 2025-08-14T22:39:25.5941090Z c10_intrusive_ptr_benchmark test_parallel 2025-08-14T22:39:25.5941455Z c10_intrusive_ptr_test thread_init_test 2025-08-14T22:39:25.5941799Z c10_irange_test torch_shm_manager 2025-08-14T22:39:25.5942108Z c10_lazy_test type_ptr_test 2025-08-14T22:39:25.5942413Z c10_logging_test type_test 2025-08-14T22:39:25.5942736Z c10_optional_test undefined_tensor_test 2025-08-14T22:39:25.5943143Z c10_ordered_preserving_dict_test vec_test_all_types_AVX2 2025-08-14T22:39:25.5943619Z c10_registry_test vec_test_all_types_AVX512 2025-08-14T22:39:25.5944034Z c10_small_vector_test vec_test_all_types_DEFAULT 2025-08-14T22:39:25.5944419Z c10_ssize_test verify_api_visibility 2025-08-14T22:39:25.5944763Z c10_string_util_test weakref_test 2025-08-14T22:39:25.5945098Z c10_string_view_test wrapdim_test 2025-08-14T22:39:25.5945414Z c10_tempfile_test xla_tensor_test 2025-08-14T22:39:25.5945825Z + aten/tools/run_tests.sh build/bin 2025-08-14T22:39:25.5947200Z + set -e 2025-08-14T22:39:25.5949898Z ++ dirname aten/tools/run_tests.sh 2025-08-14T22:39:25.5964533Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-08-14T22:39:25.5965100Z + export CPP_TESTS_DIR=build/bin 2025-08-14T22:39:25.5965418Z + CPP_TESTS_DIR=build/bin 2025-08-14T22:39:25.5965666Z + VALGRIND=ON 2025-08-14T22:39:25.5967441Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2025-08-14T22:39:27.9534196Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:39:27.9535657Z import pkg_resources 2025-08-14T22:39:29.4644343Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-14T22:39:29.4768499Z Found test times from artifacts 2025-08-14T22:39:29.5271763Z Found test times from artifacts 2025-08-14T22:39:29.5287651Z Running all tests 2025-08-14T22:39:29.5292283Z Running parallel tests on 3 processes 2025-08-14T22:39:29.5293762Z Name: tests to run (est. time: 0.0min) 2025-08-14T22:39:29.5294301Z Serial tests (0): 2025-08-14T22:39:29.5294533Z Parallel tests (19): 2025-08-14T22:39:29.5294803Z cpp/Dict_test 1/1 2025-08-14T22:39:29.5295056Z cpp/Dimname_test 1/1 2025-08-14T22:39:29.5295322Z cpp/NamedTensor_test 1/1 2025-08-14T22:39:29.5295589Z cpp/apply_utils_test 1/1 2025-08-14T22:39:29.5295854Z cpp/atest 1/1 2025-08-14T22:39:29.5296080Z cpp/basic 1/1 2025-08-14T22:39:29.5296305Z cpp/broadcast_test 1/1 2025-08-14T22:39:29.5296578Z cpp/cpu_generator_test 1/1 2025-08-14T22:39:29.5296865Z cpp/dlconvertor_test 1/1 2025-08-14T22:39:29.5297148Z cpp/extension_backend_test 1/1 2025-08-14T22:39:29.5297452Z cpp/lazy_tensor_test 1/1 2025-08-14T22:39:29.5297731Z cpp/legacy_vmap_test 1/1 2025-08-14T22:39:29.5298044Z cpp/native_test 1/1 2025-08-14T22:39:29.5298303Z cpp/operators_test 1/1 2025-08-14T22:39:29.5298578Z cpp/scalar_tensor_test 1/1 2025-08-14T22:39:29.5298909Z cpp/scalar_test 1/1 2025-08-14T22:39:29.5299174Z cpp/tensor_iterator_test 1/1 2025-08-14T22:39:29.5299473Z cpp/undefined_tensor_test 1/1 2025-08-14T22:39:29.5299754Z cpp/wrapdim_test 1/1 2025-08-14T22:39:29.5300028Z Name: excluded (est. time: 0.0min) 2025-08-14T22:39:29.5300315Z Serial tests (0): 2025-08-14T22:39:29.5300553Z Parallel tests (0): 2025-08-14T22:39:29.5300858Z Running cpp/Dict_test 1/1 ... [2025-08-14 22:39:29.529721] 2025-08-14T22:39:29.5301246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:29.5303986Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-52954937fe435b11.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:29.530176] 2025-08-14T22:39:30.9979332Z 2025-08-14T22:39:30.9980378Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_6128a3664677ae3d_.log 2025-08-14T22:39:30.9980986Z 2025-08-14T22:39:32.5793731Z Uploading artifacts took 1.58 seconds 2025-08-14T22:39:32.5794205Z Running cpp/Dimname_test 1/1 ... [2025-08-14 22:39:32.579157] 2025-08-14T22:39:32.5794631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:32.5797660Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4b073b84f25890ef.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:32.579545] 2025-08-14T22:39:34.0464000Z 2025-08-14T22:39:34.0464844Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_834d09548c482468_.log 2025-08-14T22:39:34.0465494Z 2025-08-14T22:39:34.0465704Z Running cpp/NamedTensor_test 1/1 ... [2025-08-14 22:39:34.046275] 2025-08-14T22:39:34.0466200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:34.0468549Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cb8867abd5f001f3.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:34.046599] 2025-08-14T22:39:35.5133791Z 2025-08-14T22:39:35.5134682Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_f2a6ea449c44fb4c_.log 2025-08-14T22:39:35.5135343Z 2025-08-14T22:39:35.5135544Z Running cpp/apply_utils_test 1/1 ... [2025-08-14 22:39:35.513284] 2025-08-14T22:39:35.5135968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:35.5137971Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-12014085328e9efd.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:35.513603] 2025-08-14T22:39:36.9804315Z 2025-08-14T22:39:36.9805293Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_8cb4c1d562aae79c_.log 2025-08-14T22:39:36.9806297Z 2025-08-14T22:39:36.9806516Z Running cpp/atest 1/1 ... [2025-08-14 22:39:36.980293] 2025-08-14T22:39:36.9806913Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:36.9808214Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-70c34f8390d992f9.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:36.980613] 2025-08-14T22:39:38.4475634Z 2025-08-14T22:39:38.4476617Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_f2e6eba277dda207_.log 2025-08-14T22:39:38.4477197Z 2025-08-14T22:39:38.4477357Z Running cpp/basic 1/1 ... [2025-08-14 22:39:38.447412] 2025-08-14T22:39:38.4477741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:38.4479757Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8f679227debe4283.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:38.447753] 2025-08-14T22:39:39.9145042Z 2025-08-14T22:39:39.9145925Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_59f3656fbf771327_.log 2025-08-14T22:39:39.9146516Z 2025-08-14T22:39:39.9146704Z Running cpp/broadcast_test 1/1 ... [2025-08-14 22:39:39.914377] 2025-08-14T22:39:39.9147114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:39.9149479Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-143666261feb0545.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:39.914726] 2025-08-14T22:39:41.3813958Z 2025-08-14T22:39:41.3815218Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_0ef6032675f4e23d_.log 2025-08-14T22:39:41.3815894Z 2025-08-14T22:39:41.3816109Z Running cpp/cpu_generator_test 1/1 ... [2025-08-14 22:39:41.381297] 2025-08-14T22:39:41.3816532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:41.3818192Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2f905231a180991a.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:41.381619] 2025-08-14T22:39:42.8482253Z 2025-08-14T22:39:42.8483265Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_314f84179b61ff02_.log 2025-08-14T22:39:42.8483923Z 2025-08-14T22:39:42.8484146Z Running cpp/dlconvertor_test 1/1 ... [2025-08-14 22:39:42.848124] 2025-08-14T22:39:42.8484564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:42.8486559Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cb537f83f814c356.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:42.848438] 2025-08-14T22:39:44.3153717Z 2025-08-14T22:39:44.3154816Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_1ebf051263ab2bc1_.log 2025-08-14T22:39:44.3155497Z 2025-08-14T22:39:44.3155718Z Running cpp/extension_backend_test 1/1 ... [2025-08-14 22:39:44.315103] 2025-08-14T22:39:44.3157009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:44.3158211Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e685f7ee37fec306.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:44.315422] 2025-08-14T22:39:45.8322808Z 2025-08-14T22:39:45.8324057Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_a4e61dce9865fa2f_.log 2025-08-14T22:39:45.8324783Z 2025-08-14T22:39:45.8324995Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-14 22:39:45.832164] 2025-08-14T22:39:45.8325451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:45.8327004Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-bd91952ca1cec3e5.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:45.832489] 2025-08-14T22:39:47.2992471Z 2025-08-14T22:39:47.2993423Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_52d872d9c81d6295_.log 2025-08-14T22:39:47.2994111Z 2025-08-14T22:39:47.2994324Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-14 22:39:47.299106] 2025-08-14T22:39:47.2994762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:47.2996534Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9ad1eccf8ad7d9b8.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:47.299434] 2025-08-14T22:39:48.7663618Z 2025-08-14T22:39:48.7664480Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_be4e7dc9cdcb0a42_.log 2025-08-14T22:39:48.7665139Z 2025-08-14T22:39:48.7665363Z Running cpp/native_test 1/1 ... [2025-08-14 22:39:48.766227] 2025-08-14T22:39:48.7665814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:48.7667708Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2b030f27f941561c.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:48.766543] 2025-08-14T22:39:50.2333309Z 2025-08-14T22:39:50.2334212Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_c26ba56e7fa646d5_.log 2025-08-14T22:39:50.2334938Z 2025-08-14T22:39:50.2335132Z Running cpp/operators_test 1/1 ... [2025-08-14 22:39:50.233102] 2025-08-14T22:39:50.2335550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:50.2336700Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-907580a286b9961b.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:50.233419] 2025-08-14T22:39:51.7003906Z 2025-08-14T22:39:51.7004962Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_540be1d69a256cea_.log 2025-08-14T22:39:51.7005628Z 2025-08-14T22:39:51.7006046Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-14 22:39:51.700004] 2025-08-14T22:39:51.7006494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:51.7007654Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3330afae80623ed0.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:51.700356] 2025-08-14T22:39:53.1671432Z 2025-08-14T22:39:53.1672287Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_397acf2ae7120846_.log 2025-08-14T22:39:53.1673197Z 2025-08-14T22:39:53.1673396Z Running cpp/scalar_test 1/1 ... [2025-08-14 22:39:53.167017] 2025-08-14T22:39:53.1673778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:53.1675585Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ac427805597b25a4.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:53.167326] 2025-08-14T22:39:54.6338338Z 2025-08-14T22:39:54.6339159Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_90c18fe0930eaf86_.log 2025-08-14T22:39:54.6339783Z 2025-08-14T22:39:54.6339992Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-14 22:39:54.633706] 2025-08-14T22:39:54.6340486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:54.6342159Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-81810065f855afde.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:54.634013] 2025-08-14T22:39:56.1008026Z 2025-08-14T22:39:56.1009012Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_97bb51123d5dd12a_.log 2025-08-14T22:39:56.1009733Z 2025-08-14T22:39:56.1009960Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-14 22:39:56.100689] 2025-08-14T22:39:56.1010397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:56.1012314Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-e155fe576775007b.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:56.101011] 2025-08-14T22:39:57.5680335Z 2025-08-14T22:39:57.5681396Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_ee81ecab8a2f8ba5_.log 2025-08-14T22:39:57.5682135Z 2025-08-14T22:39:57.5682318Z Running cpp/wrapdim_test 1/1 ... [2025-08-14 22:39:57.567850] 2025-08-14T22:39:57.5682997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:39:57.5684158Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-482abe42b41587e4.xml', '-x', '--reruns=2'] ... [2025-08-14 22:39:57.568166] 2025-08-14T22:39:59.0348493Z 2025-08-14T22:39:59.0349345Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_ccdf417509c35858_.log 2025-08-14T22:40:01.5217453Z 2025-08-14T22:40:01.5219055Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:01.5220580Z import pkg_resources 2025-08-14T22:40:01.5723760Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:01.5725201Z import pkg_resources 2025-08-14T22:40:01.5960884Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:01.5962476Z import pkg_resources 2025-08-14T22:40:01.6480594Z Running cpp/Dict_test 1/1 ... [2025-08-14 22:40:01.647781] 2025-08-14T22:40:01.6481020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:01.6484356Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9700513c4e8ddc99.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:01.648205] 2025-08-14T22:40:01.6987213Z Running cpp/Dimname_test 1/1 ... [2025-08-14 22:40:01.698429] 2025-08-14T22:40:01.6987657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:01.6991195Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-373be85caf608e0e.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:01.698882] 2025-08-14T22:40:01.7221701Z Running cpp/NamedTensor_test 1/1 ... [2025-08-14 22:40:01.721876] 2025-08-14T22:40:01.7222148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:01.7225461Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6500c409cf0f7809.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:01.722303] 2025-08-14T22:40:03.9173902Z 2025-08-14T22:40:03.9175247Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_09d66a3afcd1cf2f_.log 2025-08-14T22:40:03.9176536Z 2025-08-14T22:40:04.5923618Z 2025-08-14T22:40:04.5924849Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_524256c5b06c58ec_.log 2025-08-14T22:40:04.5925839Z 2025-08-14T22:40:07.3900585Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:07.3903454Z import pkg_resources 2025-08-14T22:40:07.5207273Z Running cpp/apply_utils_test 1/1 ... [2025-08-14 22:40:07.520277] 2025-08-14T22:40:07.5208137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:07.5210457Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2728eb69c5bec527.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:07.520715] 2025-08-14T22:40:07.9562766Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:07.9565542Z import pkg_resources 2025-08-14T22:40:08.0243923Z 2025-08-14T22:40:08.0245176Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_26455315605ebefb_.log 2025-08-14T22:40:08.0246331Z 2025-08-14T22:40:08.0829930Z Running cpp/atest 1/1 ... [2025-08-14 22:40:08.082598] 2025-08-14T22:40:08.0830980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:08.0834380Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-22aecebe5b87773b.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:08.083061] 2025-08-14T22:40:09.9895416Z 2025-08-14T22:40:09.9896657Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_c06dd06686df0382_.log 2025-08-14T22:40:09.9897642Z 2025-08-14T22:40:11.4030958Z 2025-08-14T22:40:11.4032083Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_8aa9b052f67bd1db_.log 2025-08-14T22:40:11.4032669Z 2025-08-14T22:40:11.6521895Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:11.6523600Z import pkg_resources 2025-08-14T22:40:11.7801445Z Running cpp/basic 1/1 ... [2025-08-14 22:40:11.779873] 2025-08-14T22:40:11.7802171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:11.7805859Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-63f28855d8704809.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:11.780314] 2025-08-14T22:40:13.3857703Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:13.3859232Z import pkg_resources 2025-08-14T22:40:13.5138928Z Running cpp/broadcast_test 1/1 ... [2025-08-14 22:40:13.513465] 2025-08-14T22:40:13.5140564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:13.5143181Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-37709f596b5e7bd5.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:13.513936] 2025-08-14T22:40:14.3493212Z 2025-08-14T22:40:14.3494058Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_6c83f96f49395c0c_.log 2025-08-14T22:40:14.3494647Z 2025-08-14T22:40:14.8658551Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:14.8660057Z import pkg_resources 2025-08-14T22:40:14.9926383Z Running cpp/cpu_generator_test 1/1 ... [2025-08-14 22:40:14.992327] 2025-08-14T22:40:14.9926826Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:14.9930530Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a88d41de88b19db0.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:14.992808] 2025-08-14T22:40:15.4819611Z 2025-08-14T22:40:15.4820948Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_76d3770e80369933_.log 2025-08-14T22:40:15.4822151Z 2025-08-14T22:40:17.8659271Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:17.8662117Z import pkg_resources 2025-08-14T22:40:17.9928484Z Running cpp/dlconvertor_test 1/1 ... [2025-08-14 22:40:17.992476] 2025-08-14T22:40:17.9929272Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:17.9933039Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8f9e07fdc620b77e.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:17.992954] 2025-08-14T22:40:18.2625797Z 2025-08-14T22:40:18.2626967Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_4fc8ce20e76b7ed3_.log 2025-08-14T22:40:18.2627669Z 2025-08-14T22:40:18.8373905Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:18.8375618Z import pkg_resources 2025-08-14T22:40:18.9645321Z Running cpp/extension_backend_test 1/1 ... [2025-08-14 22:40:18.964090] 2025-08-14T22:40:18.9645798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:18.9648419Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a425f52c69b76aa7.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:18.964541] 2025-08-14T22:40:20.1611368Z 2025-08-14T22:40:20.1612367Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_5a67f8dbbd94bce5_.log 2025-08-14T22:40:20.1613070Z 2025-08-14T22:40:20.8319840Z 2025-08-14T22:40:20.8320739Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_056c57b44382b1b9_.log 2025-08-14T22:40:20.8321473Z 2025-08-14T22:40:21.7424144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:21.7425660Z import pkg_resources 2025-08-14T22:40:21.8691714Z Running cpp/lazy_tensor_test 1/1 ... [2025-08-14 22:40:21.868821] 2025-08-14T22:40:21.8692171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:21.8695826Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-aa88325bc6b6025a.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:21.869275] 2025-08-14T22:40:23.5784117Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:23.5786642Z import pkg_resources 2025-08-14T22:40:23.6867186Z 2025-08-14T22:40:23.6868353Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_f5cdf340a898211c_.log 2025-08-14T22:40:23.6869428Z 2025-08-14T22:40:23.7056157Z Running cpp/legacy_vmap_test 1/1 ... [2025-08-14 22:40:23.705282] 2025-08-14T22:40:23.7057199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:23.7060996Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8faab44ff0bab7c9.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:23.705710] 2025-08-14T22:40:24.2450518Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:24.2452270Z import pkg_resources 2025-08-14T22:40:24.3725523Z Running cpp/native_test 1/1 ... [2025-08-14 22:40:24.372188] 2025-08-14T22:40:24.3725948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:24.3728718Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8f8cbc444e86b6b7.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:24.372618] 2025-08-14T22:40:26.2902089Z 2025-08-14T22:40:26.2903302Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_6303ca67b4b1dcd3_.log 2025-08-14T22:40:26.2903936Z 2025-08-14T22:40:27.1880697Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:27.1882206Z import pkg_resources 2025-08-14T22:40:27.3176996Z Running cpp/operators_test 1/1 ... [2025-08-14 22:40:27.317339] 2025-08-14T22:40:27.3177528Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:27.3180700Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-dc6a14a4cd838f61.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:27.317802] 2025-08-14T22:40:27.5768289Z 2025-08-14T22:40:27.5769848Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_64d746b5f3164114_.log 2025-08-14T22:40:27.5771105Z 2025-08-14T22:40:29.5357862Z 2025-08-14T22:40:29.5358717Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_2f175a315c128d12_.log 2025-08-14T22:40:29.5359392Z 2025-08-14T22:40:29.7218428Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:29.8489602Z import pkg_resources 2025-08-14T22:40:29.8490230Z Running cpp/scalar_tensor_test 1/1 ... [2025-08-14 22:40:29.848659] 2025-08-14T22:40:29.8490835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:29.8494023Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-340949cc73e20c90.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:29.849123] 2025-08-14T22:40:31.0684765Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:31.0686284Z import pkg_resources 2025-08-14T22:40:31.1959097Z Running cpp/scalar_test 1/1 ... [2025-08-14 22:40:31.195542] 2025-08-14T22:40:31.1959756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:31.1962454Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cbfd60beb37ece7a.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:31.195972] 2025-08-14T22:40:31.8169007Z 2025-08-14T22:40:31.8169963Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_a3512a716bdd7798_.log 2025-08-14T22:40:31.8170627Z 2025-08-14T22:40:33.0796533Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:33.0799381Z import pkg_resources 2025-08-14T22:40:33.2129841Z Running cpp/tensor_iterator_test 1/1 ... [2025-08-14 22:40:33.212598] 2025-08-14T22:40:33.2131058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:33.2134143Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-a8803d6c47ff6b7c.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:33.213060] 2025-08-14T22:40:33.3638686Z 2025-08-14T22:40:33.3639513Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_898120e24bf7c175_.log 2025-08-14T22:40:33.3640146Z 2025-08-14T22:40:35.2377577Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:35.2380312Z import pkg_resources 2025-08-14T22:40:35.3661170Z Running cpp/undefined_tensor_test 1/1 ... [2025-08-14 22:40:35.365729] 2025-08-14T22:40:35.3662057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:35.3665166Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-295881c5f8c656b4.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:35.366178] 2025-08-14T22:40:36.7962303Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:36.7965088Z import pkg_resources 2025-08-14T22:40:36.9278819Z Running cpp/wrapdim_test 1/1 ... [2025-08-14 22:40:36.927504] 2025-08-14T22:40:36.9279281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:40:36.9282610Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-8e8dddee405392a2.xml', '-x', '--reruns=2'] ... [2025-08-14 22:40:36.927996] 2025-08-14T22:40:37.1837691Z 2025-08-14T22:40:37.1839142Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_9f45073f2c616dac_.log 2025-08-14T22:40:37.1840522Z 2025-08-14T22:40:38.7958117Z 2025-08-14T22:40:38.7958945Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_43c911119d8af0d3_.log 2025-08-14T22:40:38.7959568Z 2025-08-14T22:40:40.6804323Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:40.6807029Z import pkg_resources 2025-08-14T22:40:41.2417804Z 2025-08-14T22:40:41.2418827Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_903270f1b0165647_.log 2025-08-14T22:40:41.2419627Z 2025-08-14T22:40:42.1946498Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:40:42.1948309Z import pkg_resources 2025-08-14T22:40:43.0743888Z Running test batch 'tests to run' cost 73.54 seconds 2025-08-14T22:40:43.9483532Z + run_if_exists tensor_interop_test 2025-08-14T22:40:43.9483961Z + local test_name=tensor_interop_test 2025-08-14T22:40:43.9484347Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-14T22:40:43.9484905Z + echo 'Warning: tensor_interop_test does not exist.' 2025-08-14T22:40:43.9485487Z Warning: tensor_interop_test does not exist. 2025-08-14T22:40:43.9485951Z + run_if_exists cudnn_test 2025-08-14T22:40:43.9486264Z + local test_name=cudnn_test 2025-08-14T22:40:43.9486638Z + [[ -x build/bin/cudnn_test ]] 2025-08-14T22:40:43.9487137Z + echo 'Warning: cudnn_test does not exist.' 2025-08-14T22:40:43.9487559Z Warning: cudnn_test does not exist. 2025-08-14T22:40:43.9487968Z + run_if_exists cuda_generator_test 2025-08-14T22:40:43.9488337Z + local test_name=cuda_generator_test 2025-08-14T22:40:43.9488658Z + [[ -x build/bin/cuda_generator_test ]] 2025-08-14T22:40:43.9489019Z + echo 'Warning: cuda_generator_test does not exist.' 2025-08-14T22:40:43.9489400Z Warning: cuda_generator_test does not exist. 2025-08-14T22:40:43.9489743Z + run_if_exists apply_test 2025-08-14T22:40:43.9490013Z + local test_name=apply_test 2025-08-14T22:40:43.9490297Z + [[ -x build/bin/apply_test ]] 2025-08-14T22:40:43.9490610Z + echo 'Warning: apply_test does not exist.' 2025-08-14T22:40:43.9490932Z Warning: apply_test does not exist. 2025-08-14T22:40:43.9491236Z + run_if_exists stream_test 2025-08-14T22:40:43.9491513Z + local test_name=stream_test 2025-08-14T22:40:43.9491797Z + [[ -x build/bin/stream_test ]] 2025-08-14T22:40:43.9492094Z + echo 'Warning: stream_test does not exist.' 2025-08-14T22:40:43.9492427Z Warning: stream_test does not exist. 2025-08-14T22:40:43.9492735Z + run_if_exists cuda_half_test 2025-08-14T22:40:43.9493006Z + local test_name=cuda_half_test 2025-08-14T22:40:43.9493297Z + [[ -x build/bin/cuda_half_test ]] 2025-08-14T22:40:43.9493624Z + echo 'Warning: cuda_half_test does not exist.' 2025-08-14T22:40:43.9494159Z Warning: cuda_half_test does not exist. 2025-08-14T22:40:43.9494486Z + run_if_exists cuda_vectorized_test 2025-08-14T22:40:43.9494814Z + local test_name=cuda_vectorized_test 2025-08-14T22:40:43.9495125Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-08-14T22:40:43.9495491Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-08-14T22:40:43.9495886Z Warning: cuda_vectorized_test does not exist. 2025-08-14T22:40:43.9496237Z + run_if_exists cuda_distributions_test 2025-08-14T22:40:43.9496555Z + local test_name=cuda_distributions_test 2025-08-14T22:40:43.9496897Z + [[ -x build/bin/cuda_distributions_test ]] 2025-08-14T22:40:43.9497279Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-08-14T22:40:43.9497681Z Warning: cuda_distributions_test does not exist. 2025-08-14T22:40:43.9498034Z + run_if_exists cuda_optional_test 2025-08-14T22:40:43.9498341Z + local test_name=cuda_optional_test 2025-08-14T22:40:43.9498643Z + [[ -x build/bin/cuda_optional_test ]] 2025-08-14T22:40:43.9499004Z + echo 'Warning: cuda_optional_test does not exist.' 2025-08-14T22:40:43.9499379Z Warning: cuda_optional_test does not exist. 2025-08-14T22:40:43.9499775Z + run_if_exists cuda_tensor_interop_test 2025-08-14T22:40:43.9500118Z + local test_name=cuda_tensor_interop_test 2025-08-14T22:40:43.9500490Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-08-14T22:40:43.9500880Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-08-14T22:40:43.9501280Z Warning: cuda_tensor_interop_test does not exist. 2025-08-14T22:40:43.9501636Z + run_if_exists cuda_complex_test 2025-08-14T22:40:43.9501944Z + local test_name=cuda_complex_test 2025-08-14T22:40:43.9502245Z + [[ -x build/bin/cuda_complex_test ]] 2025-08-14T22:40:43.9502649Z + echo 'Warning: cuda_complex_test does not exist.' 2025-08-14T22:40:43.9503013Z Warning: cuda_complex_test does not exist. 2025-08-14T22:40:43.9503350Z + run_if_exists cuda_complex_math_test 2025-08-14T22:40:43.9503658Z + local test_name=cuda_complex_math_test 2025-08-14T22:40:43.9503993Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-08-14T22:40:43.9504377Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-08-14T22:40:43.9504827Z Warning: cuda_complex_math_test does not exist. 2025-08-14T22:40:43.9505169Z + run_if_exists cuda_cub_test 2025-08-14T22:40:43.9505451Z + local test_name=cuda_cub_test 2025-08-14T22:40:43.9505839Z + [[ -x build/bin/cuda_cub_test ]] 2025-08-14T22:40:43.9506176Z + echo 'Warning: cuda_cub_test does not exist.' 2025-08-14T22:40:43.9506526Z Warning: cuda_cub_test does not exist. 2025-08-14T22:40:43.9506831Z + run_if_exists cuda_atomic_ops_test 2025-08-14T22:40:43.9507145Z + local test_name=cuda_atomic_ops_test 2025-08-14T22:40:43.9507464Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-08-14T22:40:43.9507834Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-08-14T22:40:43.9508203Z Warning: cuda_atomic_ops_test does not exist. 2025-08-14T22:40:43.9508525Z + '[' ON == ON ']' 2025-08-14T22:40:43.9509198Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-08-14T22:40:43.9767771Z ==72659== Memcheck, a memory error detector 2025-08-14T22:40:43.9768243Z ==72659== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-08-14T22:40:43.9768804Z ==72659== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-08-14T22:40:43.9769300Z ==72659== Command: build/bin/basic --gtest_filter=-*CUDA 2025-08-14T22:40:43.9769639Z ==72659== 2025-08-14T22:40:44.4293286Z ==72659== Warning: set address range perms: large range [0x4a4c000, 0x1a646000) (defined) 2025-08-14T22:40:44.4293959Z ==72659== Warning: set address range perms: large range [0x5c2d000, 0x1741d000) (defined) 2025-08-14T22:41:08.0616302Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-08-14T22:41:08.0900330Z Note: Google Test filter = -*CUDA 2025-08-14T22:41:08.0950382Z [==========] Running 6 tests from 1 test suite. 2025-08-14T22:41:08.0977409Z [----------] Global test environment set-up. 2025-08-14T22:41:08.1047104Z [----------] 6 tests from BasicTest 2025-08-14T22:41:08.1070994Z [ RUN ] BasicTest.BasicTestCPU 2025-08-14T22:41:08.6634950Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-14T22:41:08.6635428Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-14T22:41:08.6635883Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-14T22:41:08.7177992Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-14T22:41:08.7178501Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-14T22:41:08.7178943Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-14T22:41:08.7986200Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-08-14T22:41:08.7986684Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-08-14T22:41:08.7987134Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-08-14T22:41:09.9248768Z 690 ms 2025-08-14T22:41:10.0085537Z 55 ms 2025-08-14T22:41:10.0826950Z 66 ms 2025-08-14T22:41:11.5429875Z [ OK ] BasicTest.BasicTestCPU (3433 ms) 2025-08-14T22:41:11.5680087Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-08-14T22:41:11.8085956Z 186 ms 2025-08-14T22:41:11.8615206Z 47 ms 2025-08-14T22:41:11.9289593Z 65 ms 2025-08-14T22:41:11.9831737Z [ OK ] BasicTest.BasicTestHalfCPU (406 ms) 2025-08-14T22:41:11.9832396Z [ RUN ] BasicTest.FactoryMethodsTest 2025-08-14T22:41:12.0159673Z [ OK ] BasicTest.FactoryMethodsTest (32 ms) 2025-08-14T22:41:12.0160426Z [ RUN ] BasicTest.BasicStdTestCPU 2025-08-14T22:41:12.1323102Z Simple example: called once 2025-08-14T22:41:12.1799164Z throw: call_once will retry 2025-08-14T22:41:12.2193770Z throw: call_once will retry 2025-08-14T22:41:12.2197662Z Didn't throw, call_once will not attempt again 2025-08-14T22:41:12.2217077Z [ OK ] BasicTest.BasicStdTestCPU (205 ms) 2025-08-14T22:41:12.2217968Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-08-14T22:41:12.2391868Z [ OK ] BasicTest.TestForBlobResizeCPU (17 ms) 2025-08-14T22:41:12.2392592Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-08-14T22:41:12.2424861Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (3 ms) 2025-08-14T22:41:12.2446045Z [----------] 6 tests from BasicTest (4136 ms total) 2025-08-14T22:41:12.2446558Z 2025-08-14T22:41:12.2458037Z [----------] Global test environment tear-down 2025-08-14T22:41:12.2486564Z [==========] 6 tests from 1 test suite ran. (4161 ms total) 2025-08-14T22:41:12.2498733Z [ PASSED ] 6 tests. 2025-08-14T22:41:14.2318350Z ==72659== 2025-08-14T22:41:14.2321433Z ==72659== HEAP SUMMARY: 2025-08-14T22:41:14.2322279Z ==72659== in use at exit: 431,574 bytes in 6,364 blocks 2025-08-14T22:41:14.2322934Z ==72659== total heap usage: 651,588 allocs, 645,224 frees, 207,625,572 bytes allocated 2025-08-14T22:41:14.2323422Z ==72659== 2025-08-14T22:41:14.2689588Z ==72659== LEAK SUMMARY: 2025-08-14T22:41:14.2690130Z ==72659== definitely lost: 0 bytes in 0 blocks 2025-08-14T22:41:14.2690617Z ==72659== indirectly lost: 0 bytes in 0 blocks 2025-08-14T22:41:14.2691088Z ==72659== possibly lost: 69,920 bytes in 2 blocks 2025-08-14T22:41:14.2691679Z ==72659== still reachable: 361,654 bytes in 6,362 blocks 2025-08-14T22:41:14.2692166Z ==72659== suppressed: 0 bytes in 0 blocks 2025-08-14T22:41:14.2692680Z ==72659== Rerun with --leak-check=full to see details of leaked memory 2025-08-14T22:41:14.2693193Z ==72659== 2025-08-14T22:41:14.2693605Z ==72659== For lists of detected and suppressed errors, rerun with: -s 2025-08-14T22:41:14.2694253Z ==72659== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-08-14T22:41:14.3144406Z + [[ -x build/bin/tensor_interop_test ]] 2025-08-14T22:41:14.3146182Z + [[ -n '' ]] 2025-08-14T22:41:14.3146861Z + assert_git_not_dirty 2025-08-14T22:41:14.3147211Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-14T22:41:14.3147670Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-08-14T22:41:14.3152950Z ++ git status --porcelain 2025-08-14T22:41:14.3153917Z ++ grep -v '?? third_party' 2025-08-14T22:41:14.5661823Z ++ true 2025-08-14T22:41:14.5662439Z + git_status= 2025-08-14T22:41:14.5662971Z + [[ -n '' ]] 2025-08-14T22:41:14.5663383Z + test_libtorch 1 2025-08-14T22:41:14.5663660Z + local SHARD=1 2025-08-14T22:41:14.5663997Z + [[ default != \s\l\o\w ]] 2025-08-14T22:41:14.5664379Z + echo 'Testing libtorch' 2025-08-14T22:41:14.5664680Z Testing libtorch 2025-08-14T22:41:14.5665546Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5675494Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5687132Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5697697Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5707931Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5718904Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5727724Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5740073Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5740840Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-08-14T22:41:14.5741475Z + [[ -z 1 ]] 2025-08-14T22:41:14.5741800Z + [[ 1 == \1 ]] 2025-08-14T22:41:14.5742168Z + test_libtorch_api 2025-08-14T22:41:14.5742611Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-08-14T22:41:14.5743280Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-08-14T22:41:14.6222841Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2025-08-14T22:41:14.6773491Z Failed to download (trying next): 2025-08-14T22:41:14.6773927Z HTTP Error 404: Not Found 2025-08-14T22:41:14.6774703Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-08-14T22:41:15.0139680Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2025-08-14T22:41:15.0185158Z Failed to download (trying next): 2025-08-14T22:41:15.0185555Z HTTP Error 404: Not Found 2025-08-14T22:41:15.0186296Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-08-14T22:41:15.0838507Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2025-08-14T22:41:15.0884938Z Failed to download (trying next): 2025-08-14T22:41:15.0885479Z HTTP Error 404: Not Found 2025-08-14T22:41:15.0886080Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-08-14T22:41:15.1728827Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2025-08-14T22:41:15.1774289Z Failed to download (trying next): 2025-08-14T22:41:15.1774754Z HTTP Error 404: Not Found 2025-08-14T22:41:15.1775546Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-08-14T22:41:15.2176474Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-08-14T22:41:15.2177076Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-08-14T22:41:15.2177541Z + OMP_NUM_THREADS=2 2025-08-14T22:41:15.2177991Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-08-14T22:41:15.2178712Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-08-14T22:41:17.5397671Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:41:17.5399281Z import pkg_resources 2025-08-14T22:41:19.0490050Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-14T22:41:19.0613046Z Found test times from artifacts 2025-08-14T22:41:19.1117791Z Found test times from artifacts 2025-08-14T22:41:19.1133066Z Running all tests 2025-08-14T22:41:19.1136671Z Running parallel tests on 3 processes 2025-08-14T22:41:19.1137176Z Name: tests to run (est. time: 0.0min) 2025-08-14T22:41:19.1137675Z Serial tests (0): 2025-08-14T22:41:19.1145515Z Parallel tests (1): 2025-08-14T22:41:19.1145935Z cpp/test_api 1/1 2025-08-14T22:41:19.1146188Z Name: excluded (est. time: 0.0min) 2025-08-14T22:41:19.1146480Z Serial tests (0): 2025-08-14T22:41:19.1146714Z Parallel tests (0): 2025-08-14T22:41:19.1147047Z Running cpp/test_api 1/1 ... [2025-08-14 22:41:19.114031] 2025-08-14T22:41:19.1147445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:41:19.1148893Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-60f3cd5b0d4ddc2f.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-14 22:41:19.114451] 2025-08-14T22:41:21.2322301Z 2025-08-14T22:41:21.2323198Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_3875afb20231d364_.log 2025-08-14T22:41:21.2323787Z 2025-08-14T22:41:22.5652374Z Uploading artifacts took 1.33 seconds 2025-08-14T22:41:24.9575431Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:41:24.9577061Z import pkg_resources 2025-08-14T22:41:24.9780923Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:41:24.9782349Z import pkg_resources 2025-08-14T22:41:25.0136725Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:41:25.0138159Z import pkg_resources 2025-08-14T22:41:25.0808006Z Running cpp/test_api 1/1 ... [2025-08-14 22:41:25.080508] 2025-08-14T22:41:25.0808422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:41:25.0811960Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-5af87ac5dda5b92e.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-08-14 22:41:25.080930] 2025-08-14T22:43:27.5921153Z 2025-08-14T22:43:27.5923601Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_4c6c57364a491869_.log 2025-08-14T22:43:27.5933424Z 2025-08-14T22:43:28.4207123Z Running test batch 'tests to run' cost 129.31 seconds 2025-08-14T22:43:29.2556516Z + [[ linux-jammy-py3.13-clang12 != *android* ]] 2025-08-14T22:43:29.2556963Z + [[ linux-jammy-py3.13-clang12 != *cuda* ]] 2025-08-14T22:43:29.2557309Z + [[ linux-jammy-py3.13-clang12 != *asan* ]] 2025-08-14T22:43:29.2557662Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-08-14T22:43:29.2558005Z + export CPP_TESTS_DIR=build/bin 2025-08-14T22:43:29.2558320Z + CPP_TESTS_DIR=build/bin 2025-08-14T22:43:29.2558712Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-08-14T22:43:31.6344195Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:43:31.6345759Z import pkg_resources 2025-08-14T22:43:33.1494728Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-08-14T22:43:33.1619671Z Found test times from artifacts 2025-08-14T22:43:33.2123039Z Found test times from artifacts 2025-08-14T22:43:33.2140065Z Running all tests 2025-08-14T22:43:33.2143448Z Running parallel tests on 3 processes 2025-08-14T22:43:33.2143882Z Name: tests to run (est. time: 0.0min) 2025-08-14T22:43:33.2144465Z Serial tests (0): 2025-08-14T22:43:33.2144771Z Parallel tests (1): 2025-08-14T22:43:33.2145028Z cpp/static_runtime_test 1/1 2025-08-14T22:43:33.2145391Z Name: excluded (est. time: 0.0min) 2025-08-14T22:43:33.2145802Z Serial tests (0): 2025-08-14T22:43:33.2146052Z Parallel tests (0): 2025-08-14T22:43:33.2146425Z Running cpp/static_runtime_test 1/1 ... [2025-08-14 22:43:33.214450] 2025-08-14T22:43:33.2147019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:43:33.2151001Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2d34e4a504da6c1e.xml', '-x', '--reruns=2'] ... [2025-08-14 22:43:33.214878] 2025-08-14T22:43:34.6817271Z 2025-08-14T22:43:34.6818755Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_2819144acdfabf00_.log 2025-08-14T22:43:34.6820118Z 2025-08-14T22:43:36.0328309Z Uploading artifacts took 1.35 seconds 2025-08-14T22:43:38.5348669Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:43:38.5350264Z import pkg_resources 2025-08-14T22:43:38.5386870Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:43:38.5388430Z import pkg_resources 2025-08-14T22:43:38.5594303Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-08-14T22:43:38.5595740Z import pkg_resources 2025-08-14T22:43:38.6608863Z Running cpp/static_runtime_test 1/1 ... [2025-08-14 22:43:38.660613] 2025-08-14T22:43:38.6609347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-08-14T22:43:38.6612833Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-83da40342bc6ca7e.xml', '-x', '--reruns=2'] ... [2025-08-14 22:43:38.661046] 2025-08-14T22:50:43.2641031Z 2025-08-14T22:50:43.2641936Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_75e87189dc75ef60_.log 2025-08-14T22:50:43.2646018Z 2025-08-14T22:50:44.0761896Z Running test batch 'tests to run' cost 430.86 seconds 2025-08-14T22:50:44.9129119Z + [[ -z 1 ]] 2025-08-14T22:50:44.9129396Z + [[ 1 == \2 ]] 2025-08-14T22:50:44.9129628Z + assert_git_not_dirty 2025-08-14T22:50:44.9129915Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-08-14T22:50:44.9130298Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-08-14T22:50:44.9134689Z ++ git status --porcelain 2025-08-14T22:50:44.9136010Z ++ grep -v '?? third_party' 2025-08-14T22:50:45.1644049Z ++ true 2025-08-14T22:50:45.1644809Z + git_status= 2025-08-14T22:50:45.1645060Z + [[ -n '' ]] 2025-08-14T22:50:45.1645315Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-08-14T22:50:45.1646667Z + sccache_epilogue 2025-08-14T22:50:45.1647020Z + echo '::group::Sccache Compilation Log' 2025-08-14T22:50:45.1647632Z ##[group]Sccache Compilation Log 2025-08-14T22:50:45.1647984Z + echo '=================== sccache compilation log ===================' 2025-08-14T22:50:45.1648410Z =================== sccache compilation log =================== 2025-08-14T22:50:45.1649278Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-08-14T22:50:45.1785020Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-08-14T22:50:45.1785788Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-08-14T22:50:45.1786449Z + sccache --show-stats 2025-08-14T22:50:45.1807271Z Compile requests 2521 2025-08-14T22:50:45.1807641Z Compile requests executed 135 2025-08-14T22:50:45.1808007Z Cache hits 87 2025-08-14T22:50:45.1808311Z Cache hits (C/C++) 87 2025-08-14T22:50:45.1808617Z Cache misses 47 2025-08-14T22:50:45.1808909Z Cache misses (C/C++) 47 2025-08-14T22:50:45.1809226Z Cache hits rate 64.93 % 2025-08-14T22:50:45.1809545Z Cache hits rate (C/C++) 64.93 % 2025-08-14T22:50:45.1809866Z Cache timeouts 0 2025-08-14T22:50:45.1810202Z Cache read errors 0 2025-08-14T22:50:45.1810513Z Forced recaches 0 2025-08-14T22:50:45.1810831Z Cache write errors 0 2025-08-14T22:50:45.1811181Z Cache errors 0 2025-08-14T22:50:45.1811491Z Compilations 47 2025-08-14T22:50:45.1811811Z Compilation failures 1 2025-08-14T22:50:45.1812124Z Non-cacheable compilations 0 2025-08-14T22:50:45.1812450Z Non-cacheable calls 27 2025-08-14T22:50:45.1812767Z Non-compilation calls 2359 2025-08-14T22:50:45.1813080Z Unsupported compiler calls 0 2025-08-14T22:50:45.1813406Z Average cache write 0.052 s 2025-08-14T22:50:45.1813729Z Average compiler 10.516 s 2025-08-14T22:50:45.1814053Z Average cache read hit 0.083 s 2025-08-14T22:50:45.1814377Z Failed distributed compilations 0 2025-08-14T22:50:45.1814612Z 2025-08-14T22:50:45.1814711Z Non-cacheable reasons: 2025-08-14T22:50:45.1814972Z -E 25 2025-08-14T22:50:45.1815282Z unknown source language 2 2025-08-14T22:50:45.1815632Z 2025-08-14T22:50:45.1815867Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-08-14T22:50:45.1816331Z Version (client) 0.10.0 2025-08-14T22:50:45.1816642Z + sccache --stop-server 2025-08-14T22:50:45.1829325Z Stopping sccache server... 2025-08-14T22:50:45.1832095Z Compile requests 2521 2025-08-14T22:50:45.1832443Z Compile requests executed 135 2025-08-14T22:50:45.1832745Z Cache hits 87 2025-08-14T22:50:45.1833052Z Cache hits (C/C++) 87 2025-08-14T22:50:45.1833360Z Cache misses 47 2025-08-14T22:50:45.1833667Z Cache misses (C/C++) 47 2025-08-14T22:50:45.1833985Z Cache hits rate 64.93 % 2025-08-14T22:50:45.1834308Z Cache hits rate (C/C++) 64.93 % 2025-08-14T22:50:45.1834631Z Cache timeouts 0 2025-08-14T22:50:45.1834929Z Cache read errors 0 2025-08-14T22:50:45.1835374Z Forced recaches 0 2025-08-14T22:50:45.1835828Z Cache write errors 0 2025-08-14T22:50:45.1836399Z Cache errors 0 2025-08-14T22:50:45.1836716Z Compilations 47 2025-08-14T22:50:45.1837037Z Compilation failures 1 2025-08-14T22:50:45.1837355Z Non-cacheable compilations 0 2025-08-14T22:50:45.1837685Z Non-cacheable calls 27 2025-08-14T22:50:45.1838012Z Non-compilation calls 2359 2025-08-14T22:50:45.1838345Z Unsupported compiler calls 0 2025-08-14T22:50:45.1838664Z Average cache write 0.052 s 2025-08-14T22:50:45.1838991Z Average compiler 10.516 s 2025-08-14T22:50:45.1839377Z Average cache read hit 0.083 s 2025-08-14T22:50:45.1839694Z Failed distributed compilations 0 2025-08-14T22:50:45.1839923Z 2025-08-14T22:50:45.1840019Z Non-cacheable reasons: 2025-08-14T22:50:45.1840284Z -E 25 2025-08-14T22:50:45.1840586Z unknown source language 2 2025-08-14T22:50:45.1840841Z 2025-08-14T22:50:45.1841076Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-08-14T22:50:45.1841537Z Version (client) 0.10.0 2025-08-14T22:50:45.1841857Z + echo ::endgroup:: 2025-08-14T22:50:45.1842335Z ##[endgroup] 2025-08-14T22:50:45.1842544Z + cleanup_workspace 2025-08-14T22:50:45.1843031Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-08-14T22:50:45.1843792Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-08-14T22:50:45.1844400Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-08-14T22:50:45.1844856Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-08-14T22:50:45.1845386Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-08-14T22:50:45.1845975Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-08-14T22:50:45.1846520Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-08-14T22:50:45.8963519Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-08-14T22:50:45.8964004Z with: 2025-08-14T22:50:45.8964244Z benchmark-results-dir: test/test-reports 2025-08-14T22:50:45.8964570Z dry-run: false 2025-08-14T22:50:45.8964803Z schema-version: v3 2025-08-14T22:50:45.8965284Z github-token: *** 2025-08-14T22:50:45.8965507Z env: 2025-08-14T22:50:45.8965724Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:45.8966182Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:45.8966667Z ##[endgroup] 2025-08-14T22:50:45.8992515Z ##[group]Run set -eux 2025-08-14T22:50:45.8992793Z set -eux 2025-08-14T22:50:45.8993156Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:50:45.8993574Z  2025-08-14T22:50:45.8993796Z DEVICE_NAME="" 2025-08-14T22:50:45.8994045Z DEVICE_TYPE="" 2025-08-14T22:50:45.8994307Z  2025-08-14T22:50:45.8994578Z if command -v nvidia-smi; then 2025-08-14T22:50:45.8995030Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-08-14T22:50:45.8995593Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-08-14T22:50:45.8996130Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-08-14T22:50:45.8996557Z  python3 -mpip install torch==2.7.1 2025-08-14T22:50:45.8996904Z elif command -v rocminfo; then 2025-08-14T22:50:45.8997332Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-08-14T22:50:45.8997890Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-08-14T22:50:45.8998443Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-08-14T22:50:45.8998919Z  # GPU device name coming from rocminfo instead 2025-08-14T22:50:45.8999283Z  DEVICE_NAME=rocm 2025-08-14T22:50:45.8999764Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-08-14T22:50:45.9000258Z fi 2025-08-14T22:50:45.9000457Z  2025-08-14T22:50:45.9000728Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-08-14T22:50:45.9001138Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-08-14T22:50:45.9010524Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:45.9010908Z env: 2025-08-14T22:50:45.9011128Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:45.9011672Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:45.9012168Z ##[endgroup] 2025-08-14T22:50:45.9041889Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-08-14T22:50:46.1782467Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:50:47.2384920Z Collecting boto3==1.35.33 2025-08-14T22:50:47.2538629Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-08-14T22:50:47.5663712Z Collecting psutil==7.0.0 2025-08-14T22:50:47.5702073Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-08-14T22:50:47.6004780Z Collecting pynvml==12.0.0 2025-08-14T22:50:47.6035543Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-08-14T22:50:47.6114737Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-08-14T22:50:47.6502725Z Collecting s3transfer<0.11.0,>=0.10.0 2025-08-14T22:50:47.6576613Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-08-14T22:50:48.7881655Z Collecting botocore<1.36.0,>=1.35.33 2025-08-14T22:50:48.7913619Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-08-14T22:50:48.9792971Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-08-14T22:50:48.9824160Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-08-14T22:50:48.9921400Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-08-14T22:50:48.9927226Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-08-14T22:50:49.1241757Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-08-14T22:50:49.2632072Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-08-14T22:50:49.7620721Z Attempting uninstall: nvidia-ml-py 2025-08-14T22:50:49.7622130Z Found existing installation: nvidia-ml-py 11.525.84 2025-08-14T22:50:49.7636039Z Uninstalling nvidia-ml-py-11.525.84: 2025-08-14T22:50:49.7812472Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-08-14T22:50:49.8455268Z Attempting uninstall: psutil 2025-08-14T22:50:49.8456334Z Found existing installation: psutil 5.9.8 2025-08-14T22:50:49.8525706Z Uninstalling psutil-5.9.8: 2025-08-14T22:50:49.8532176Z Successfully uninstalled psutil-5.9.8 2025-08-14T22:50:50.0238685Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-08-14T22:50:50.1546464Z + DEVICE_NAME= 2025-08-14T22:50:50.1546923Z + DEVICE_TYPE= 2025-08-14T22:50:50.1547378Z + command -v nvidia-smi 2025-08-14T22:50:50.1547845Z + command -v rocminfo 2025-08-14T22:50:50.1548303Z + echo DEVICE_NAME= 2025-08-14T22:50:50.1548530Z + echo DEVICE_TYPE= 2025-08-14T22:50:50.1577411Z ##[group]Run set -eux 2025-08-14T22:50:50.1577692Z set -eux 2025-08-14T22:50:50.1577911Z  2025-08-14T22:50:50.1578156Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-08-14T22:50:50.1578511Z  echo "Missing github-token input" 2025-08-14T22:50:50.1578831Z  exit 1 2025-08-14T22:50:50.1579069Z fi 2025-08-14T22:50:50.1584673Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:50.1585050Z env: 2025-08-14T22:50:50.1585267Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:50.1585836Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:50.1586331Z DEVICE_NAME: 2025-08-14T22:50:50.1586561Z DEVICE_TYPE: 2025-08-14T22:50:50.1587012Z GITHUB_TOKEN: *** 2025-08-14T22:50:50.1587235Z ##[endgroup] 2025-08-14T22:50:50.1610587Z + [[ -z *** ]] 2025-08-14T22:50:50.1661076Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-08-14T22:50:50.1661520Z with: 2025-08-14T22:50:50.1661900Z github-token: *** 2025-08-14T22:50:50.1662139Z env: 2025-08-14T22:50:50.1662359Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:50.1662804Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:50.1663300Z DEVICE_NAME: 2025-08-14T22:50:50.1663622Z DEVICE_TYPE: 2025-08-14T22:50:50.1663860Z ##[endgroup] 2025-08-14T22:50:50.1688154Z ##[group]Run set -eux 2025-08-14T22:50:50.1688429Z set -eux 2025-08-14T22:50:50.1688658Z  2025-08-14T22:50:50.1689118Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-08-14T22:50:50.1694908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:50.1695283Z env: 2025-08-14T22:50:50.1695501Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:50.1695967Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:50.1696469Z DEVICE_NAME: 2025-08-14T22:50:50.1696694Z DEVICE_TYPE: 2025-08-14T22:50:50.1697078Z GITHUB_TOKEN: *** 2025-08-14T22:50:50.1697314Z ##[endgroup] 2025-08-14T22:50:50.1720499Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255017 i-04a61581104816429 2025-08-14T22:50:52.0572513Z setting job-id=48127032070 2025-08-14T22:50:52.0573082Z setting job-name=linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T22:50:52.0709498Z ##[group]Run set -eux 2025-08-14T22:50:52.0709770Z set -eux 2025-08-14T22:50:52.0709993Z  2025-08-14T22:50:52.0710376Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-08-14T22:50:52.0710879Z  --schema-version "${SCHEMA_VERSION}" \ 2025-08-14T22:50:52.0711223Z  --repo "${REPO}" \ 2025-08-14T22:50:52.0711535Z  --head-branch "${HEAD_BRANCH}" \ 2025-08-14T22:50:52.0711864Z  --head-sha "${HEAD_SHA}" \ 2025-08-14T22:50:52.0712183Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-08-14T22:50:52.0712534Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-08-14T22:50:52.0712856Z  --job-id "${JOB_ID}" \ 2025-08-14T22:50:52.0713141Z  --job-name "${JOB_NAME}" 2025-08-14T22:50:52.0718877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:52.0719252Z env: 2025-08-14T22:50:52.0719459Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:52.0719916Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:52.0720409Z DEVICE_NAME: 2025-08-14T22:50:52.0720645Z DEVICE_TYPE: 2025-08-14T22:50:52.0720861Z SCHEMA_VERSION: v3 2025-08-14T22:50:52.0721110Z REPO: pytorch/pytorch 2025-08-14T22:50:52.0721371Z HEAD_BRANCH: refs/heads/main 2025-08-14T22:50:52.0721680Z HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2 2025-08-14T22:50:52.0722028Z WORKFLOW_RUN_ID: 16976255017 2025-08-14T22:50:52.0722297Z RUN_ATTEMPT: 1 2025-08-14T22:50:52.0722511Z JOB_ID: 48127032070 2025-08-14T22:50:52.0722901Z JOB_NAME: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T22:50:52.0723346Z ##[endgroup] 2025-08-14T22:50:52.0750758Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255017 --run-attempt 1 --job-id 48127032070 --job-name 'linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)' 2025-08-14T22:50:52.1074407Z ##[group]Run set -eux 2025-08-14T22:50:52.1074690Z set -eux 2025-08-14T22:50:52.1074918Z  2025-08-14T22:50:52.1075293Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-08-14T22:50:52.1081484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:52.1081863Z env: 2025-08-14T22:50:52.1082070Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:52.1082531Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:52.1083023Z DEVICE_NAME: 2025-08-14T22:50:52.1083253Z DEVICE_TYPE: 2025-08-14T22:50:52.1083542Z ##[endgroup] 2025-08-14T22:50:52.1107584Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-08-14T22:50:52.1507036Z INFO:root:Fail to import torch to get the device name 2025-08-14T22:50:52.1616992Z ##[group]Run set -eux 2025-08-14T22:50:52.1617270Z set -eux 2025-08-14T22:50:52.1617496Z  2025-08-14T22:50:52.1617735Z # TODO (huydhn): Implement this part 2025-08-14T22:50:52.1618123Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-08-14T22:50:52.1623746Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:52.1624110Z env: 2025-08-14T22:50:52.1624326Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:52.1624779Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:52.1625271Z DEVICE_NAME: 2025-08-14T22:50:52.1625485Z DEVICE_TYPE: 2025-08-14T22:50:52.1625834Z ##[endgroup] 2025-08-14T22:50:52.1648200Z + echo 'dependencies={}' 2025-08-14T22:50:52.1678132Z ##[group]Run set -eux 2025-08-14T22:50:52.1678417Z set -eux 2025-08-14T22:50:52.1678643Z  2025-08-14T22:50:52.1678909Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-08-14T22:50:52.1679357Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-08-14T22:50:52.1679828Z  # We don't want the job to fail if the directory doesn't exist 2025-08-14T22:50:52.1680217Z  exit 0 2025-08-14T22:50:52.1680439Z fi 2025-08-14T22:50:52.1680647Z  2025-08-14T22:50:52.1680879Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-08-14T22:50:52.1681359Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:50:52.1681894Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:50:52.1682321Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:50:52.1682687Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:50:52.1683034Z  --dependencies "${DEPENDENCIES}" \ 2025-08-14T22:50:52.1683351Z  --dry-run 2025-08-14T22:50:52.1683602Z else 2025-08-14T22:50:52.1683979Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-08-14T22:50:52.1684516Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-08-14T22:50:52.1684937Z  --metadata "${BENCHMARK_METADATA}" \ 2025-08-14T22:50:52.1685290Z  --runners "${RUNNER_INFO}" \ 2025-08-14T22:50:52.1685633Z  --dependencies "${DEPENDENCIES}" 2025-08-14T22:50:52.1685936Z fi 2025-08-14T22:50:52.1691423Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:52.1691799Z env: 2025-08-14T22:50:52.1692009Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:52.1692462Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:52.1692969Z DEVICE_NAME: 2025-08-14T22:50:52.1693183Z DEVICE_TYPE: 2025-08-14T22:50:52.1693442Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-08-14T22:50:52.1693760Z DRY_RUN: false 2025-08-14T22:50:52.1695033Z BENCHMARK_METADATA: {"timestamp": 1755211852, "schema_version": "v3", "name": "linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255017, "run_attempt": 1, "job_id": 48127032070} 2025-08-14T22:50:52.1696759Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-40-36.ec2.internal"}, "name": "", "type": ""}] 2025-08-14T22:50:52.1697371Z DEPENDENCIES: {} 2025-08-14T22:50:52.1697615Z ##[endgroup] 2025-08-14T22:50:52.1719016Z + [[ ! -d test/test-reports ]] 2025-08-14T22:50:52.1719532Z + [[ false == \t\r\u\e ]] 2025-08-14T22:50:52.1722519Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1755211852, "schema_version": "v3", "name": "linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255017, "run_attempt": 1, "job_id": 48127032070}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-40-36.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-08-14T22:50:52.3124022Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-f88c29b85f2956fde837.json is not a benchmark record, skipping 2025-08-14T22:50:52.3125946Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-14T22:50:52.3201021Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'test_content_store'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_ops'}, {'test_file': 'test_type_hints'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_cuda'}, {'test_file': 'test_autograd'}, {'test_file': 'test_reductions'}, {'test_file': 'test_indexing'}, {'test_file': 'test_nn'}, {'test_file': 'test_overrides'}, {'test_file': 'test_type_promotion'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_config'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'dynamo/cpython/3_13/test_generator_stop'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'dynamo/cpython/3_13/test_exception_variations'}, {'test_file': 'dynamo/cpython/3_13/test_int_literal'}, {'test_file': 'dynamo/cpython/3_13/test_itertools'}, {'test_file': 'dynamo/cpython/3_13/test_with'}, {'test_file': 'dynamo/cpython/3_13/test_raise'}, {'test_file': 'dynamo/cpython/3_13/test_contextlib'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'dynamo/cpython/3_13/test_ordered_dict'}, {'test_file': 'dynamo/cpython/3_13/test_numeric_tower'}, {'test_file': 'dynamo/cpython/3_13/test_baseexception'}, {'test_file': 'dynamo/cpython/3_13/test_operator'}, {'test_file': 'dynamo/cpython/3_13/test_exceptions'}, {'test_file': 'dynamo/cpython/3_13/test_collections'}, {'test_file': 'dynamo/cpython/3_13/test_heapq'}, {'test_file': 'dynamo/cpython/3_13/test_int'}, {'test_file': 'dynamo/cpython/3_13/test_userlist'}, {'test_file': 'dynamo/cpython/3_13/test_generators'}, {'test_file': 'dynamo/cpython/3_13/test_set'}, {'test_file': 'dynamo/cpython/3_13/test_math'}, {'test_file': 'dynamo/cpython/3_13/test_userdict'}, {'test_file': 'dynamo/cpython/3_13/test_iter'}, {'test_file': 'dynamo/cpython/3_13/test_bool'}, {'test_file': 'dynamo/cpython/3_13/test_sort'}, {'test_file': 'dynamo/cpython/3_13/test_cmath'}, {'test_file': 'dynamo/cpython/3_13/test_sys'}, {'test_file': 'dynamo/cpython/3_13/test_list'}, {'test_file': 'dynamo/cpython/3_13/test_tuple'}, {'test_file': 'dynamo/cpython/3_13/test_dict'}, {'test_file': 'dynamo/cpython/3_13/test_complex'}, {'test_file': 'dynamo/cpython/3_13/test_float'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/cpython/3_13/test_unittest/test_assertions'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'export/test_serdes'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'export/test_package'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'export/test_db'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'export/test_passes'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'export/test_nativert'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'export/test_experimental'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'export/test_hop'}, {'test_file': 'export/test_converter'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'export/test_serialize'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_verifier'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'export/test_sparse'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'test_quantization'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'dynamo/cpython/3_13/test_defaultdict'}, {'test_file': 'test_package'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_autoload'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'test_transformers'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_license'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_foreach'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_file_check'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_native_functions'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'test_flop_counter'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_pytree'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_fx'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_typing'}, {'test_file': 'test_openmp'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_openreg'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_meta'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_optim'}, {'test_file': 'test_decomp'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_modules'}, {'test_file': 'test_torch'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_weak'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_logging'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_complex'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_ops_jit'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_pruning_op'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_stateless'}, {'test_file': 'test_dispatch'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_masked'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_monitor'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_subclass'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_itt'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_autocast'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'test_linalg'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'test_futures'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'optim/test_optim'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_vulkan'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_type_info'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_numa_binding'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_accelerator'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_serialization'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'nn/test_init'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_sparse'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-567171e27c1a12d308a2.json is not a benchmark record, skipping 2025-08-14T22:50:52.3273591Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-14T22:50:52.3275187Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-88c8cafb316f0537c03e.json is not a benchmark record, skipping 2025-08-14T22:50:52.3276885Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-14T22:50:52.3278575Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-3e7925a155d410caaf93.json is not a benchmark record, skipping 2025-08-14T22:50:52.3280154Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-14T22:50:52.3284536Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-d6dd255f1c7283d663da.json is not a benchmark record, skipping 2025-08-14T22:50:52.3288175Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-08-14T22:50:52.3403096Z ##[group]Run cat test/**/*_toprint.log || true 2025-08-14T22:50:52.3403492Z cat test/**/*_toprint.log || true 2025-08-14T22:50:52.3409163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:52.3409545Z env: 2025-08-14T22:50:52.3409764Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:52.3410203Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:52.3410706Z DEVICE_NAME: 2025-08-14T22:50:52.3410937Z DEVICE_TYPE: 2025-08-14T22:50:52.3411164Z ##[endgroup] 2025-08-14T22:50:52.3493404Z cat: 'test/**/*_toprint.log': No such file or directory 2025-08-14T22:50:52.3530700Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:50:52.3531075Z kill "$MONITOR_SCRIPT_PID" 2025-08-14T22:50:52.3536499Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:52.3536888Z env: 2025-08-14T22:50:52.3537106Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:52.3537547Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:52.3538031Z DEVICE_NAME: 2025-08-14T22:50:52.3538254Z DEVICE_TYPE: 2025-08-14T22:50:52.3538486Z MONITOR_SCRIPT_PID: 42452 2025-08-14T22:50:52.3538738Z ##[endgroup] 2025-08-14T22:50:52.3679846Z Prepare all required actions 2025-08-14T22:50:52.3680349Z Getting action download info 2025-08-14T22:50:52.5387118Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-08-14T22:50:52.7844734Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-08-14T22:50:53.2531804Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-08-14T22:50:53.2532173Z with: 2025-08-14T22:50:53.2532492Z file-suffix: test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T22:50:53.2532903Z s3-bucket: gha-artifacts 2025-08-14T22:50:53.2533150Z env: 2025-08-14T22:50:53.2533364Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:53.2533817Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:53.2534294Z DEVICE_NAME: 2025-08-14T22:50:53.2534521Z DEVICE_TYPE: 2025-08-14T22:50:53.2534743Z ##[endgroup] 2025-08-14T22:50:53.2562257Z ##[group]Run # Remove any previous test jsons if they exist 2025-08-14T22:50:53.2562729Z # Remove any previous test jsons if they exist 2025-08-14T22:50:53.2563092Z rm -f test-jsons-*.zip 2025-08-14T22:50:53.2563608Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-08-14T22:50:53.2569367Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:53.2569727Z env: 2025-08-14T22:50:53.2569948Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:53.2570407Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:53.2570955Z DEVICE_NAME: 2025-08-14T22:50:53.2571183Z DEVICE_TYPE: 2025-08-14T22:50:53.2571501Z FILE_SUFFIX: test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T22:50:53.2571878Z ##[endgroup] 2025-08-14T22:50:53.2714565Z adding: test/test-reports/td_exclusions-f88c29b85f2956fde837.json (deflated 16%) 2025-08-14T22:50:53.2718578Z adding: test/test-reports/td_exclusions-567171e27c1a12d308a2.json (deflated 82%) 2025-08-14T22:50:53.2719219Z adding: test/test-reports/td_exclusions-88c8cafb316f0537c03e.json (deflated 18%) 2025-08-14T22:50:53.2719864Z adding: test/test-reports/td_exclusions-3e7925a155d410caaf93.json (deflated 14%) 2025-08-14T22:50:53.2720667Z adding: test/test-reports/td_exclusions-d6dd255f1c7283d663da.json (deflated 73%) 2025-08-14T22:50:53.2747018Z ##[group]Run # Remove any previous test reports if they exist 2025-08-14T22:50:53.2747502Z # Remove any previous test reports if they exist 2025-08-14T22:50:53.2747893Z rm -f test-reports-*.zip 2025-08-14T22:50:53.2748378Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-08-14T22:50:53.2754006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:53.2754390Z env: 2025-08-14T22:50:53.2754612Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:53.2755066Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:53.2755556Z DEVICE_NAME: 2025-08-14T22:50:53.2755783Z DEVICE_TYPE: 2025-08-14T22:50:53.2756087Z FILE_SUFFIX: test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T22:50:53.2756472Z ##[endgroup] 2025-08-14T22:50:53.2834493Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-b39240c0ae7738f6.xml (deflated 28%) 2025-08-14T22:50:53.2838056Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-4bd40c931f4b6b8a.xml (deflated 94%) 2025-08-14T22:50:53.2839114Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ab45c5c3180b479f.xml (deflated 28%) 2025-08-14T22:50:53.2841640Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-f18f22a4f243c562.xml (deflated 94%) 2025-08-14T22:50:53.2843321Z adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-c46dd4bec3a5faa2.xml (deflated 87%) 2025-08-14T22:50:53.2844711Z adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-ee8e75b9f49da407.xml (deflated 72%) 2025-08-14T22:50:53.2852363Z adding: test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-09d151a2ab0e1726.xml (deflated 94%) 2025-08-14T22:50:53.2853612Z adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-ed3a0a8a581abead.xml (deflated 54%) 2025-08-14T22:50:53.2900759Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-11b82a13a9691faa.xml (deflated 96%) 2025-08-14T22:50:53.2939059Z adding: test/test-reports/python-pytest/test_nn/test_nn-a70d13fdebf11c27.xml (deflated 96%) 2025-08-14T22:50:53.2953167Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-0d3b0abc86fbfd5b.xml (deflated 95%) 2025-08-14T22:50:53.2967351Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-e81414de32886ce0.xml (deflated 98%) 2025-08-14T22:50:53.2968884Z adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-958473b5a94049e3.xml (deflated 73%) 2025-08-14T22:50:53.2970102Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-b99092d1096796bc.xml (deflated 36%) 2025-08-14T22:50:53.2976496Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-4f978c77fddc8acf.xml (deflated 96%) 2025-08-14T22:50:53.2978049Z adding: test/test-reports/python-pytest/test_transformers_privateuse1/test_transformers_privateuse1-bb481373bc4ab671.xml (deflated 53%) 2025-08-14T22:50:53.2979169Z adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-62a2c0de85d9dea3.xml (deflated 52%) 2025-08-14T22:50:53.3003016Z adding: test/test-reports/python-pytest/test_fx/test_fx-4d125b773aee8d26.xml (deflated 94%) 2025-08-14T22:50:53.3008628Z adding: test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-43e93b7771ff90ea.xml (deflated 92%) 2025-08-14T22:50:53.3009922Z adding: test/test-reports/python-pytest/test_openreg/test_openreg-cb63479d4551d733.xml (deflated 79%) 2025-08-14T22:50:53.3011258Z adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-49e485e7950f38a9.xml (deflated 37%) 2025-08-14T22:50:53.3012329Z adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-e37a8199d43eea88.xml (deflated 88%) 2025-08-14T22:50:53.3027028Z adding: test/test-reports/python-pytest/test_torch/test_torch-6b114350b9e37081.xml (deflated 92%) 2025-08-14T22:50:53.3091024Z adding: test/test-reports/python-pytest/test_utils/test_utils-4c1400ae64232381.xml (deflated 96%) 2025-08-14T22:50:53.3093449Z adding: test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-c1572089fd6ec8c6.xml (deflated 86%) 2025-08-14T22:50:53.3094946Z adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-271b2152955505cd.xml (deflated 85%) 2025-08-14T22:50:53.3096764Z adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-ac3933bb7cddead3.xml (deflated 73%) 2025-08-14T22:50:53.3098531Z adding: test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-10394636957e315d.xml (deflated 88%) 2025-08-14T22:50:53.3099533Z adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-5cf32984ecf7cb23.xml (deflated 89%) 2025-08-14T22:50:53.3100957Z adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-bae25557227ff591.xml (deflated 57%) 2025-08-14T22:50:53.3102199Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-1db49ac0b4ec8fcb.xml (deflated 84%) 2025-08-14T22:50:53.3103391Z adding: test/test-reports/python-pytest/test_native_mha/test_native_mha-8de17b684a0935a7.xml (deflated 87%) 2025-08-14T22:50:53.3105120Z adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-90295c802c58d17c.xml (deflated 91%) 2025-08-14T22:50:53.3106343Z adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-3832f4fceb9ac334.xml (deflated 85%) 2025-08-14T22:50:53.3107260Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-5ada3522e421fe26.xml (deflated 92%) 2025-08-14T22:50:53.3108188Z adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-1986db7bf386909d.xml (deflated 80%) 2025-08-14T22:50:53.3109217Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-7962bb7a11615ce1.xml (deflated 86%) 2025-08-14T22:50:53.3118474Z adding: test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-64afe987403d395c.xml (deflated 97%) 2025-08-14T22:50:53.3123722Z adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-4a2b443196ff17e1.xml (deflated 92%) 2025-08-14T22:50:53.3127885Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-a796542dcd62b4ca.xml (deflated 90%) 2025-08-14T22:50:53.3129693Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-a6329749d5284eb6.xml (deflated 85%) 2025-08-14T22:50:53.3130872Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-bdcf63ff9e3ad63f.xml (deflated 84%) 2025-08-14T22:50:53.3131872Z adding: test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-57757b4b316c77c2.xml (deflated 28%) 2025-08-14T22:50:53.3133208Z adding: test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-eb52a6f12c3c8659.xml (deflated 86%) 2025-08-14T22:50:53.3134494Z adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-3fb4a2cc833f39f6.xml (deflated 28%) 2025-08-14T22:50:53.3149390Z adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-4a2cae8abdce763c.xml (deflated 97%) 2025-08-14T22:50:53.3150858Z adding: test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-09910055b179e38c.xml (deflated 27%) 2025-08-14T22:50:53.3152038Z adding: test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-8baec73e9b2c1b34.xml (deflated 28%) 2025-08-14T22:50:53.3153234Z adding: test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-48cd2705251b43ae.xml (deflated 28%) 2025-08-14T22:50:53.3164292Z adding: test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-863e28304f5d6f64.xml (deflated 93%) 2025-08-14T22:50:53.3180102Z adding: test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-3cc208a78a1273ea.xml (deflated 94%) 2025-08-14T22:50:53.3195893Z adding: test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-3739a823574a4c5e.xml (deflated 94%) 2025-08-14T22:50:53.3197665Z adding: test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-c7d64dc4b7dd3594.xml (deflated 27%) 2025-08-14T22:50:53.3198939Z adding: test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-9846a02ebda22cdc.xml (deflated 28%) 2025-08-14T22:50:53.3200129Z adding: test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-b42eb3de0af77252.xml (deflated 28%) 2025-08-14T22:50:53.3201235Z adding: test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-cf900c89cdb95cd3.xml (deflated 28%) 2025-08-14T22:50:53.3202335Z adding: test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-70e0ad6cde12e1d9.xml (deflated 28%) 2025-08-14T22:50:53.3212310Z adding: test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-d7c98b0fd9dae321.xml (deflated 96%) 2025-08-14T22:50:53.3228983Z adding: test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-668b92b553b7f9f1.xml (deflated 96%) 2025-08-14T22:50:53.3238333Z adding: test/test-reports/python-pytest/inductor.test_cpu_cpp_wrapper/inductor.test_cpu_cpp_wrapper-2870c63f7d5cb347.xml (deflated 93%) 2025-08-14T22:50:53.3239387Z adding: test/test-reports/python-pytest/test_quantization/test_quantization-f05edb738429300d.xml (deflated 28%) 2025-08-14T22:50:53.3293198Z adding: test/test-reports/python-pytest/test_quantization/test_quantization-95a6aff068de2213.xml (deflated 97%) 2025-08-14T22:50:53.3294253Z adding: test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-d754814833be3bc2.xml (deflated 28%) 2025-08-14T22:50:53.3304316Z adding: test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-4f168daf7d8231ca.xml (deflated 94%) 2025-08-14T22:50:53.3305679Z adding: test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-87cfe495f532c017.xml (deflated 28%) 2025-08-14T22:50:53.3307351Z adding: test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-52ae70da22230536.xml (deflated 89%) 2025-08-14T22:50:53.3308611Z adding: test/test-reports/python-pytest/test_package/test_package-fcd47fa05038fc68.xml (deflated 28%) 2025-08-14T22:50:53.3310162Z adding: test/test-reports/python-pytest/test_package/test_package-1e6558b3973f01d0.xml (deflated 87%) 2025-08-14T22:50:53.3311810Z adding: test/test-reports/python-pytest/test_hop_infra/test_hop_infra-9ceca53afe169745.xml (deflated 28%) 2025-08-14T22:50:53.3313397Z adding: test/test-reports/python-pytest/test_hop_infra/test_hop_infra-e7b78ef60282201f.xml (deflated 56%) 2025-08-14T22:50:53.3314294Z adding: test/test-reports/python-pytest/test_comparison_utils/test_comparison_utils-3b88e87b5d502ac2.xml (deflated 27%) 2025-08-14T22:50:53.3315284Z adding: test/test-reports/python-pytest/test_comparison_utils/test_comparison_utils-e6d228eaa96406de.xml (deflated 73%) 2025-08-14T22:50:53.3316295Z adding: test/test-reports/python-pytest/functorch.test_ac_logging/functorch.test_ac_logging-77abcceddf092ce9.xml (deflated 28%) 2025-08-14T22:50:53.3317342Z adding: test/test-reports/python-pytest/functorch.test_ac_logging/functorch.test_ac_logging-ecd60bb338797627.xml (deflated 63%) 2025-08-14T22:50:53.3318310Z adding: test/test-reports/python-pytest/test_mkl_verbose/test_mkl_verbose-3ba4ddf498b2d0eb.xml (deflated 28%) 2025-08-14T22:50:53.3319179Z adding: test/test-reports/python-pytest/test_mkl_verbose/test_mkl_verbose-50face94de0ddc13.xml (deflated 50%) 2025-08-14T22:50:53.3320179Z adding: test/test-reports/python-pytest/test_appending_byte_serializer/test_appending_byte_serializer-afb875cd07727db6.xml (deflated 28%) 2025-08-14T22:50:53.3321319Z adding: test/test-reports/python-pytest/test_appending_byte_serializer/test_appending_byte_serializer-051c98f9070363f4.xml (deflated 61%) 2025-08-14T22:50:53.3322299Z adding: test/test-reports/python-pytest/test_autoload/test_autoload-cb9f590294930a79.xml (deflated 27%) 2025-08-14T22:50:53.3323126Z adding: test/test-reports/python-pytest/test_autoload/test_autoload-6de7d604df0d6c07.xml (deflated 38%) 2025-08-14T22:50:53.3323998Z adding: test/test-reports/python-pytest/test_proxy_tensor/test_proxy_tensor-be1f923512fdac4b.xml (deflated 28%) 2025-08-14T22:50:53.3345304Z adding: test/test-reports/python-pytest/test_proxy_tensor/test_proxy_tensor-43f851e629a7d8b0.xml (deflated 94%) 2025-08-14T22:50:53.3347170Z adding: test/test-reports/python-pytest/test_mkldnn_verbose/test_mkldnn_verbose-1f7cb337c7ec9190.xml (deflated 28%) 2025-08-14T22:50:53.3348115Z adding: test/test-reports/python-pytest/test_mkldnn_verbose/test_mkldnn_verbose-1218052d79f979fc.xml (deflated 51%) 2025-08-14T22:50:53.3349223Z adding: test/test-reports/python-pytest/test_utils_config_module/test_utils_config_module-7b953050e044226a.xml (deflated 28%) 2025-08-14T22:50:53.3350518Z adding: test/test-reports/python-pytest/test_utils_config_module/test_utils_config_module-78fd8bc9d30bd62c.xml (deflated 83%) 2025-08-14T22:50:53.3352119Z adding: test/test-reports/python-pytest/test_functionalization/test_functionalization-c73de2ab93d8f3b8.xml (deflated 28%) 2025-08-14T22:50:53.3353139Z adding: test/test-reports/python-pytest/test_functionalization/test_functionalization-a4227efcb34f2976.xml (deflated 87%) 2025-08-14T22:50:53.3354304Z adding: test/test-reports/python-pytest/test_rename_privateuse1_to_existing_device/test_rename_privateuse1_to_existing_device-240d0ab3c243b256.xml (deflated 28%) 2025-08-14T22:50:53.3355600Z adding: test/test-reports/python-pytest/test_rename_privateuse1_to_existing_device/test_rename_privateuse1_to_existing_device-a677c4d1fc0d9f5e.xml (deflated 38%) 2025-08-14T22:50:53.3356707Z adding: test/test-reports/python-pytest/test_transformers/test_transformers-8f15912dae4b6871.xml (deflated 28%) 2025-08-14T22:50:53.3388060Z adding: test/test-reports/python-pytest/test_transformers/test_transformers-2cffc6619740528a.xml (deflated 97%) 2025-08-14T22:50:53.3389099Z adding: test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-610f913b20d5d41c.xml (deflated 27%) 2025-08-14T22:50:53.3404586Z adding: test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-3b466ee8c8b13ffd.xml (deflated 97%) 2025-08-14T22:50:53.3406149Z adding: test/test-reports/python-pytest/test_jiterator/test_jiterator-5381ca714de196b8.xml (deflated 28%) 2025-08-14T22:50:53.3407020Z adding: test/test-reports/python-pytest/test_jiterator/test_jiterator-9db51b1a6d3a575f.xml (deflated 28%) 2025-08-14T22:50:53.3407906Z adding: test/test-reports/python-pytest/test_decomp/test_decomp-4c6315eccaed5528.xml (deflated 28%) 2025-08-14T22:50:53.3408717Z adding: test/test-reports/python-pytest/test_decomp/test_decomp-c5d5e07dbd848947.xml (deflated 28%) 2025-08-14T22:50:53.3409524Z adding: test/test-reports/python-pytest/test_decomp/test_decomp-e60223a26b784946.xml (deflated 28%) 2025-08-14T22:50:53.3418845Z adding: test/test-reports/python-pytest/test_decomp/test_decomp-d89d9d2cfeb5f9c2.xml (deflated 92%) 2025-08-14T22:50:53.3431362Z adding: test/test-reports/python-pytest/test_decomp/test_decomp-ca6f170318de9ad0.xml (deflated 92%) 2025-08-14T22:50:53.3443607Z adding: test/test-reports/python-pytest/test_decomp/test_decomp-f8fdaa701c69c268.xml (deflated 92%) 2025-08-14T22:50:53.3444610Z adding: test/test-reports/python-pytest/test_hub/test_hub-588f0015c024a841.xml (deflated 28%) 2025-08-14T22:50:53.3446034Z adding: test/test-reports/python-pytest/test_hub/test_hub-c4ff3b98856eb9b4.xml (deflated 82%) 2025-08-14T22:50:53.3447126Z adding: test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-41676e36188c4781.xml (deflated 28%) 2025-08-14T22:50:53.3448873Z adding: test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-4eb339611d80d348.xml (deflated 52%) 2025-08-14T22:50:53.3449917Z adding: test/test-reports/python-pytest/test_stateless/test_stateless-123a3046f0094807.xml (deflated 28%) 2025-08-14T22:50:53.3451532Z adding: test/test-reports/python-pytest/test_stateless/test_stateless-95142a80bd2ab2a7.xml (deflated 94%) 2025-08-14T22:50:53.3453166Z adding: test/test-reports/python-pytest/distributions.test_constraints/distributions.test_constraints-5b859c4cf3227752.xml (deflated 28%) 2025-08-14T22:50:53.3454364Z adding: test/test-reports/python-pytest/distributions.test_constraints/distributions.test_constraints-6c4d1df32dc43b0e.xml (deflated 96%) 2025-08-14T22:50:53.3455526Z adding: test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-2e853861f04edc4e.xml (deflated 28%) 2025-08-14T22:50:53.3456645Z adding: test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-8a531d5a024ea4e3.xml (deflated 67%) 2025-08-14T22:50:53.3457828Z adding: test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-d16b3b9f1effeb27.xml (deflated 27%) 2025-08-14T22:50:53.3458755Z adding: test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-59484f6ed97a9549.xml (deflated 88%) 2025-08-14T22:50:53.3459667Z adding: test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-7cfb339176b6e936.xml (deflated 28%) 2025-08-14T22:50:53.3594759Z adding: test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-d7e9cf719cfcefb9.xml (deflated 98%) 2025-08-14T22:50:53.3596058Z adding: test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-bdf215c08d55a827.xml (deflated 28%) 2025-08-14T22:50:53.3597678Z adding: test/test-reports/python-pytest/test_segment_reductions/test_segment_reductions-e22bd7e53e09d93c.xml (deflated 95%) 2025-08-14T22:50:53.3598643Z adding: test/test-reports/python-pytest/test_import_stats/test_import_stats-afba938ac3e1fb78.xml (deflated 28%) 2025-08-14T22:50:53.3599925Z adding: test/test-reports/python-pytest/test_import_stats/test_import_stats-04badf0e8f98bd80.xml (deflated 49%) 2025-08-14T22:50:53.3601559Z adding: test/test-reports/python-pytest/test_masked/test_masked-04de1df2dec884f3.xml (deflated 28%) 2025-08-14T22:50:53.3602790Z adding: test/test-reports/python-pytest/test_masked/test_masked-4ae15339fe26e8f9.xml (deflated 95%) 2025-08-14T22:50:53.3603974Z adding: test/test-reports/python-pytest/test_monitor/test_monitor-e09389b188ffe422.xml (deflated 28%) 2025-08-14T22:50:53.3604809Z adding: test/test-reports/python-pytest/test_monitor/test_monitor-45ce1ac7e98218b8.xml (deflated 66%) 2025-08-14T22:50:53.3606302Z adding: test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-b94c4ad215faa390.xml (deflated 28%) 2025-08-14T22:50:53.3607324Z adding: test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-b6e316d7b3d73131.xml (deflated 83%) 2025-08-14T22:50:53.3608255Z adding: test/test-reports/python-pytest/test_subclass/test_subclass-096a48c13210a653.xml (deflated 28%) 2025-08-14T22:50:53.3609094Z adding: test/test-reports/python-pytest/test_subclass/test_subclass-06e68582818ea36a.xml (deflated 94%) 2025-08-14T22:50:53.3610015Z adding: test/test-reports/python-pytest/profiler.test_profiler/profiler.test_profiler-9a667754bcb00a9a.xml (deflated 83%) 2025-08-14T22:50:53.3611019Z adding: test/test-reports/python-pytest/profiler.test_profiler/profiler.test_profiler-f0ca9bc87941ef12.xml (deflated 83%) 2025-08-14T22:50:53.3612137Z adding: test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-bbb55b3abe5d3d21.xml (deflated 27%) 2025-08-14T22:50:53.3627080Z adding: test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-fc6d1ea40b29f703.xml (deflated 97%) 2025-08-14T22:50:53.3628872Z adding: test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-6a363675ab79c985.xml (deflated 28%) 2025-08-14T22:50:53.3629745Z adding: test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-7157e3d0289c3d0e.xml (deflated 87%) 2025-08-14T22:50:53.3630540Z adding: test/test-reports/python-pytest/test_itt/test_itt-6c7a552e1b18ce6d.xml (deflated 28%) 2025-08-14T22:50:53.3631297Z adding: test/test-reports/python-pytest/test_itt/test_itt-12988d467b2b8793.xml (deflated 38%) 2025-08-14T22:50:53.3632295Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-506e012c05c7e453.xml (deflated 28%) 2025-08-14T22:50:53.3634049Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-07972e2771791bb8.xml (deflated 93%) 2025-08-14T22:50:53.3635173Z adding: test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-1a35cd741af6f314.xml (deflated 28%) 2025-08-14T22:50:53.3636952Z adding: test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-1349bb5ffc6757ef.xml (deflated 93%) 2025-08-14T22:50:53.3637894Z adding: test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-379728815fd0d961.xml (deflated 28%) 2025-08-14T22:50:53.3638881Z adding: test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-f843de269afdff2a.xml (deflated 66%) 2025-08-14T22:50:53.3640004Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_function_base/torch_np.numpy_tests.lib.test_function_base-d2e33de824ef6233.xml (deflated 28%) 2025-08-14T22:50:53.3645101Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_function_base/torch_np.numpy_tests.lib.test_function_base-917247a5fec71dad.xml (deflated 95%) 2025-08-14T22:50:53.3646137Z adding: test/test-reports/python-pytest/test_jit/test_jit-c8176d65d24ec074.xml (deflated 28%) 2025-08-14T22:50:53.3685438Z adding: test/test-reports/python-pytest/test_jit/test_jit-5d33a3c5681ea177.xml (deflated 90%) 2025-08-14T22:50:53.3687099Z adding: test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-340c23c98b1a5437.xml (deflated 28%) 2025-08-14T22:50:53.3688340Z adding: test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-2878675373fb1a57.xml (deflated 81%) 2025-08-14T22:50:53.3689834Z adding: test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic-fa9c60800c3215b7.xml (deflated 28%) 2025-08-14T22:50:53.3691648Z adding: test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic-f314e9d46185276b.xml (deflated 88%) 2025-08-14T22:50:53.3693064Z adding: test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-ccea0d5a1a33f41f.xml (deflated 27%) 2025-08-14T22:50:53.3722979Z adding: test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-e4ecbd74043cc36a.xml (deflated 93%) 2025-08-14T22:50:53.3724111Z adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-28ee8092731c69e0.xml (deflated 28%) 2025-08-14T22:50:53.3732942Z adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-4bf429ca9b4731ea.xml (deflated 91%) 2025-08-14T22:50:53.3733986Z adding: test/test-reports/python-pytest/test_schema_check/test_schema_check-b487ced4d2a3032c.xml (deflated 28%) 2025-08-14T22:50:53.3802059Z adding: test/test-reports/python-pytest/test_schema_check/test_schema_check-3313c47669cb590d.xml (deflated 96%) 2025-08-14T22:50:53.3803078Z adding: test/test-reports/python-pytest/test_datapipe/test_datapipe-9902a53009d50455.xml (deflated 28%) 2025-08-14T22:50:53.3804492Z adding: test/test-reports/python-pytest/test_datapipe/test_datapipe-0addf7c7ae647028.xml (deflated 89%) 2025-08-14T22:50:53.3806200Z adding: test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-d69c8c2de79c1ef2.xml (deflated 28%) 2025-08-14T22:50:53.3807484Z adding: test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-4e554bead9cc58bb.xml (deflated 72%) 2025-08-14T22:50:53.3809055Z adding: test/test-reports/python-pytest/profiler.test_execution_trace/profiler.test_execution_trace-dc5a465bed5c1187.xml (deflated 28%) 2025-08-14T22:50:53.3810175Z adding: test/test-reports/python-pytest/profiler.test_execution_trace/profiler.test_execution_trace-ccae55b8b41fde41.xml (deflated 83%) 2025-08-14T22:50:53.3811205Z adding: test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-e0b191e5a4e283f5.xml (deflated 28%) 2025-08-14T22:50:53.3812140Z adding: test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-6c881964d023b052.xml (deflated 52%) 2025-08-14T22:50:53.3813228Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-432817412f06f0e6.xml (deflated 28%) 2025-08-14T22:50:53.3814634Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-249159edc95359d7.xml (deflated 89%) 2025-08-14T22:50:53.3815720Z adding: test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-c1e0e559722ad3b7.xml (deflated 27%) 2025-08-14T22:50:53.3821050Z adding: test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-78c5d3a5e714d143.xml (deflated 95%) 2025-08-14T22:50:53.3822319Z adding: test/test-reports/python-pytest/test_tensorboard/test_tensorboard-b0d73c25dcc8fd83.xml (deflated 27%) 2025-08-14T22:50:53.3823974Z adding: test/test-reports/python-pytest/test_tensorboard/test_tensorboard-522f124862157389.xml (deflated 83%) 2025-08-14T22:50:53.3826053Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_type_check/torch_np.numpy_tests.lib.test_type_check-c5d9e93b609f98eb.xml (deflated 28%) 2025-08-14T22:50:53.3827317Z adding: test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_type_check/torch_np.numpy_tests.lib.test_type_check-fb768f3b1efed964.xml (deflated 90%) 2025-08-14T22:50:53.3828404Z adding: test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-bc97ed996d483d79.xml (deflated 28%) 2025-08-14T22:50:53.3829383Z adding: test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-3fcd19964ba63914.xml (deflated 72%) 2025-08-14T22:50:53.3830433Z adding: test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-6487510e4b0c9a27.xml (deflated 28%) 2025-08-14T22:50:53.3831655Z adding: test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-4724f65f1e790dc6.xml (deflated 79%) 2025-08-14T22:50:53.3832708Z adding: test/test-reports/python-pytest/test_linalg/test_linalg-30c250cd9d7c2cfe.xml (deflated 63%) 2025-08-14T22:50:53.3845959Z adding: test/test-reports/python-pytest/test_linalg/test_linalg-7414c8c45adee6de.xml (deflated 94%) 2025-08-14T22:50:53.3847482Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-52954937fe435b11.xml (deflated 29%) 2025-08-14T22:50:53.3848979Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-4b073b84f25890ef.xml (deflated 29%) 2025-08-14T22:50:53.3850520Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-cb8867abd5f001f3.xml (deflated 29%) 2025-08-14T22:50:53.3852091Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-12014085328e9efd.xml (deflated 29%) 2025-08-14T22:50:53.3853393Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-70c34f8390d992f9.xml (deflated 29%) 2025-08-14T22:50:53.3854964Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8f679227debe4283.xml (deflated 29%) 2025-08-14T22:50:53.3856503Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-143666261feb0545.xml (deflated 29%) 2025-08-14T22:50:53.3858038Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-2f905231a180991a.xml (deflated 29%) 2025-08-14T22:50:53.3859469Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-cb537f83f814c356.xml (deflated 29%) 2025-08-14T22:50:53.3860655Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-e685f7ee37fec306.xml (deflated 29%) 2025-08-14T22:50:53.3861487Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-bd91952ca1cec3e5.xml (deflated 29%) 2025-08-14T22:50:53.3862314Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-9ad1eccf8ad7d9b8.xml (deflated 29%) 2025-08-14T22:50:53.3863125Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-2b030f27f941561c.xml (deflated 29%) 2025-08-14T22:50:53.3863945Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-907580a286b9961b.xml (deflated 29%) 2025-08-14T22:50:53.3864761Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-3330afae80623ed0.xml (deflated 29%) 2025-08-14T22:50:53.3865757Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-ac427805597b25a4.xml (deflated 29%) 2025-08-14T22:50:53.3866576Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-81810065f855afde.xml (deflated 29%) 2025-08-14T22:50:53.3867400Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-e155fe576775007b.xml (deflated 29%) 2025-08-14T22:50:53.3868221Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-482abe42b41587e4.xml (deflated 29%) 2025-08-14T22:50:53.3869061Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-373be85caf608e0e.xml (deflated 57%) 2025-08-14T22:50:53.3869871Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-6500c409cf0f7809.xml (deflated 73%) 2025-08-14T22:50:53.3870700Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-9700513c4e8ddc99.xml (deflated 84%) 2025-08-14T22:50:53.3871521Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-2728eb69c5bec527.xml (deflated 67%) 2025-08-14T22:50:53.3872352Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-22aecebe5b87773b.xml (deflated 79%) 2025-08-14T22:50:53.3873158Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-63f28855d8704809.xml (deflated 65%) 2025-08-14T22:50:53.3874374Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-37709f596b5e7bd5.xml (deflated 37%) 2025-08-14T22:50:53.3875402Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-a88d41de88b19db0.xml (deflated 80%) 2025-08-14T22:50:53.3876454Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8f9e07fdc620b77e.xml (deflated 64%) 2025-08-14T22:50:53.3877344Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-a425f52c69b76aa7.xml (deflated 34%) 2025-08-14T22:50:53.3878180Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-aa88325bc6b6025a.xml (deflated 47%) 2025-08-14T22:50:53.3879016Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8f8cbc444e86b6b7.xml (deflated 47%) 2025-08-14T22:50:53.3880089Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8faab44ff0bab7c9.xml (deflated 84%) 2025-08-14T22:50:53.3881405Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-dc6a14a4cd838f61.xml (deflated 58%) 2025-08-14T22:50:53.3882229Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-340949cc73e20c90.xml (deflated 58%) 2025-08-14T22:50:53.3883053Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-cbfd60beb37ece7a.xml (deflated 59%) 2025-08-14T22:50:53.3883883Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-295881c5f8c656b4.xml (deflated 37%) 2025-08-14T22:50:53.3884693Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-8e8dddee405392a2.xml (deflated 36%) 2025-08-14T22:50:53.3885690Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-a8803d6c47ff6b7c.xml (deflated 91%) 2025-08-14T22:50:53.3887022Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-60f3cd5b0d4ddc2f.xml (deflated 29%) 2025-08-14T22:50:53.3887897Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-5af87ac5dda5b92e.xml (deflated 87%) 2025-08-14T22:50:53.3889069Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-2d34e4a504da6c1e.xml (deflated 29%) 2025-08-14T22:50:53.3890371Z adding: test/test-reports/python-pytest/test.run_test/test.run_test-83da40342bc6ca7e.xml (deflated 90%) 2025-08-14T22:50:53.3891779Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20250814213314.xml (deflated 43%) 2025-08-14T22:50:53.3893634Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20250814213340.xml (deflated 43%) 2025-08-14T22:50:53.3919587Z ##[group]Run # Remove any previous usage logs if they exist 2025-08-14T22:50:53.3920052Z # Remove any previous usage logs if they exist 2025-08-14T22:50:53.3920545Z rm -f logs-*.zip 2025-08-14T22:50:53.3920906Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-08-14T22:50:53.3921407Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-08-14T22:50:53.3927246Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:53.3927625Z env: 2025-08-14T22:50:53.3927842Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:53.3928300Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:53.3928795Z DEVICE_NAME: 2025-08-14T22:50:53.3929011Z DEVICE_TYPE: 2025-08-14T22:50:53.3929332Z FILE_SUFFIX: test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T22:50:53.3929714Z ##[endgroup] 2025-08-14T22:50:53.4127825Z adding: usage_log.txt (deflated 95%) 2025-08-14T22:50:53.4171298Z adding: test/test-reports/cpp.Dimname_test_1.1_834d09548c482468_.log (deflated 73%) 2025-08-14T22:50:53.4171986Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_392fe71daea58d4f_.log (deflated 50%) 2025-08-14T22:50:53.4172633Z adding: test/test-reports/cpp.atest_1.1_f2e6eba277dda207_.log (deflated 73%) 2025-08-14T22:50:53.4179098Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_ad33349ab7afbb30_.log (deflated 92%) 2025-08-14T22:50:53.4179930Z adding: test/test-reports/inductor.test_memory_planning_1.1_605717d50d493e47_.log (deflated 35%) 2025-08-14T22:50:53.4180715Z adding: test/test-reports/inductor.test_distributed_patterns_1.1_09d57271fdd15039_.log (deflated 80%) 2025-08-14T22:50:53.4181438Z adding: test/test-reports/test_mkldnn_verbose_1.1_1a4204ca500cabd9_.log (deflated 54%) 2025-08-14T22:50:53.4182216Z adding: test/test-reports/test_cpp_extensions_mtia_backend_1.1_82cbb88d580f44d0_.log (deflated 66%) 2025-08-14T22:50:53.4183634Z adding: test/test-reports/test_stateless_1.1_65f508692376fd34_.log (deflated 86%) 2025-08-14T22:50:53.4198046Z adding: test/test-reports/test_tensor_creation_ops_1.1_db89aec2c0e11a4b_.log (deflated 93%) 2025-08-14T22:50:53.4198823Z adding: test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_860a4dd786f86f47_.log (deflated 52%) 2025-08-14T22:50:53.4199653Z adding: test/test-reports/test_cpp_extensions_stream_and_event_1.1_1ab0499ba5975e8a_.log (deflated 59%) 2025-08-14T22:50:53.4200359Z adding: test/test-reports/cpp.basic_1.1_59f3656fbf771327_.log (deflated 73%) 2025-08-14T22:50:53.4280583Z adding: test/test-reports/test_reductions_1.1_6e54c80852d7b785_.log (deflated 96%) 2025-08-14T22:50:53.4336419Z adding: test/test-reports/test_nn_1.1_21d4f88e802d7255_.log (deflated 95%) 2025-08-14T22:50:53.4337037Z adding: test/test-reports/cpp.broadcast_test_1.1_0ef6032675f4e23d_.log (deflated 73%) 2025-08-14T22:50:53.4361015Z adding: test/test-reports/test_overrides_1.1_e578e9bc8dc4fbec_.log (deflated 93%) 2025-08-14T22:50:53.4362551Z adding: test/test-reports/nn.test_lazy_modules_1.1_a8416cef71d9f4ac_.log (deflated 85%) 2025-08-14T22:50:53.4363259Z adding: test/test-reports/inductor.test_max_autotune_1.1_24dfc50e8944be4f_.log (deflated 47%) 2025-08-14T22:50:53.4366177Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_2.8_f5f0c9b15d94e90a_.log (deflated 91%) 2025-08-14T22:50:53.4382231Z adding: test/test-reports/inductor.test_flex_attention_1.1_86fd45988eb1f1b3_.log (deflated 95%) 2025-08-14T22:50:53.4382997Z adding: test/test-reports/inductor.test_cudacodecache_1.1_ff5969e42f6cbb62_.log (deflated 35%) 2025-08-14T22:50:53.4383768Z adding: test/test-reports/inductor.test_benchmark_fusion_1.1_d355e8bf17cda677_.log (deflated 65%) 2025-08-14T22:50:53.4384517Z adding: test/test-reports/inductor.test_quantization_1.1_066102efff681ce6_.log (deflated 35%) 2025-08-14T22:50:53.4385272Z adding: test/test-reports/inductor.test_cutlass_backend_1.1_1fdc8e87261b69cc_.log (deflated 47%) 2025-08-14T22:50:53.4386107Z adding: test/test-reports/inductor.test_fxir_backend_1.1_16114329256eb789_.log (deflated 35%) 2025-08-14T22:50:53.4386846Z adding: test/test-reports/dynamo.test_fake_distributed_1.1_b149a5478dee2197_.log (deflated 52%) 2025-08-14T22:50:53.4387690Z adding: test/test-reports/cpp.native_test_1.1_c26ba56e7fa646d5_.log (deflated 73%) 2025-08-14T22:50:53.4397183Z adding: test/test-reports/test_cpp_api_parity_1.1_967fbe48b5539edb_.log (deflated 95%) 2025-08-14T22:50:53.4401127Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_3.8_d92b22a2329cb748_.log (deflated 92%) 2025-08-14T22:50:53.4401894Z adding: test/test-reports/test_transformers_privateuse1_1.1_fc4bac0eebad8eff_.log (deflated 60%) 2025-08-14T22:50:53.4421887Z adding: test/test-reports/test_decomp_5.11_9f06b0d061ff4bd0_.log (deflated 90%) 2025-08-14T22:50:53.4422554Z adding: test/test-reports/test_extension_utils_1.1_640b824acc366c84_.log (deflated 56%) 2025-08-14T22:50:53.4452442Z adding: test/test-reports/test_fx_1.1_e43219cadbb1b076_.log (deflated 92%) 2025-08-14T22:50:53.4453072Z adding: test/test-reports/cpp.operators_test_1.1_540be1d69a256cea_.log (deflated 73%) 2025-08-14T22:50:53.4460680Z adding: test/test-reports/test_fake_tensor_1.1_673b52a580714d5f_.log (deflated 90%) 2025-08-14T22:50:53.4461327Z adding: test/test-reports/cpp.scalar_test_1.1_90c18fe0930eaf86_.log (deflated 73%) 2025-08-14T22:50:53.4462673Z adding: test/test-reports/test_openreg_1.1_218a3041267c3bce_.log (deflated 78%) 2025-08-14T22:50:53.4463402Z adding: test/test-reports/cpp.wrapdim_test_1.1_ccdf417509c35858_.log (deflated 73%) 2025-08-14T22:50:53.4464049Z adding: test/test-reports/test_show_pickle_1.1_5b180616a6eccc04_.log (deflated 50%) 2025-08-14T22:50:53.4464657Z adding: test/test-reports/cpp.atest_1.1_8aa9b052f67bd1db_.log (deflated 77%) 2025-08-14T22:50:53.4466731Z adding: test/test-reports/test_tensorexpr_1.1_94e3830e5e53a630_.log (deflated 82%) 2025-08-14T22:50:53.4489889Z adding: test/test-reports/test_torch_1.1_bdcd50c9fd3342c9_.log (deflated 91%) 2025-08-14T22:50:53.4606421Z adding: test/test-reports/test_utils_1.1_1bd4979e2a46395f_.log (deflated 95%) 2025-08-14T22:50:53.4608326Z adding: test/test-reports/test_segment_reductions_1.1_434ec483a94372c9_.log (deflated 91%) 2025-08-14T22:50:53.4611495Z adding: test/test-reports/test_python_dispatch_1.1_b99d3226d95d0340_.log (deflated 87%) 2025-08-14T22:50:53.4612591Z adding: test/test-reports/cpp.Dimname_test_1.1_09d66a3afcd1cf2f_.log (deflated 73%) 2025-08-14T22:50:53.4613535Z adding: test/test-reports/test_dispatch_1.1_59dfc46d1547e809_.log (deflated 75%) 2025-08-14T22:50:53.4614168Z adding: test/test-reports/test_import_stats_1.1_51cb89ea6deb9a9e_.log (deflated 54%) 2025-08-14T22:50:53.4614977Z adding: test/test-reports/test_namedtuple_return_api_1.1_964ae841307ac9fb_.log (deflated 59%) 2025-08-14T22:50:53.4619279Z adding: test/test-reports/test_masked_1.1_a6ebce2c68a3b46f_.log (deflated 91%) 2025-08-14T22:50:53.4620680Z adding: test/test-reports/test_multiprocessing_1.1_b10a8d032e3b687c_.log (deflated 86%) 2025-08-14T22:50:53.4621353Z adding: test/test-reports/test_monitor_1.1_9cccefe89990e2af_.log (deflated 59%) 2025-08-14T22:50:53.4622423Z adding: test/test-reports/test_autograd_fallback_1.1_7d4cf0d09d8bdad3_.log (deflated 83%) 2025-08-14T22:50:53.4624265Z adding: test/test-reports/cpp.Dict_test_1.1_26455315605ebefb_.log (deflated 84%) 2025-08-14T22:50:53.4624890Z adding: test/test-reports/test_jit_disabled_1.1_0b2d9bb32f56d5cb_.log (deflated 56%) 2025-08-14T22:50:53.4625548Z adding: test/test-reports/cpp.wrapdim_test_1.1_43c911119d8af0d3_.log (deflated 72%) 2025-08-14T22:50:53.4626418Z adding: test/test-reports/test_autocast_1.1_c0f5cb9b9e620c32_.log (deflated 74%) 2025-08-14T22:50:53.4627138Z adding: test/test-reports/cpp.basic_1.1_6c83f96f49395c0c_.log (deflated 74%) 2025-08-14T22:50:53.4627750Z adding: test/test-reports/test_cuda_trace_1.1_93b42c5ef19acf7f_.log (deflated 36%) 2025-08-14T22:50:53.4628397Z adding: test/test-reports/cpp.broadcast_test_1.1_76d3770e80369933_.log (deflated 72%) 2025-08-14T22:50:53.4629440Z adding: test/test-reports/test_native_mha_1.1_8b4e8de31801a2ee_.log (deflated 89%) 2025-08-14T22:50:53.4630447Z adding: test/test-reports/profiler.test_cpp_thread_1.1_2c6347c7f4f2aef8_.log (deflated 68%) 2025-08-14T22:50:53.4632999Z adding: test/test-reports/test_sort_and_select_1.1_d0400d0d4508d297_.log (deflated 89%) 2025-08-14T22:50:53.4635310Z adding: test/test-reports/test_subclass_1.1_74dce9156dfb8081_.log (deflated 89%) 2025-08-14T22:50:53.4635994Z adding: test/test-reports/test_cuda_nvml_based_avail_1.1_c3d2c0bea754bbe5_.log (deflated 36%) 2025-08-14T22:50:53.4638035Z adding: test/test-reports/profiler.test_profiler_1.1_68dee3f87e38dc7f_.log (deflated 82%) 2025-08-14T22:50:53.4640178Z adding: test/test-reports/test_cpp_extensions_jit_1.1_2a9ebc730a8ff496_.log (deflated 88%) 2025-08-14T22:50:53.4640849Z adding: test/test-reports/cpp.native_test_1.1_6303ca67b4b1dcd3_.log (deflated 72%) 2025-08-14T22:50:53.4643862Z adding: test/test-reports/nn.test_pooling_1.1_9cd3ab66d50a94e2_.log (deflated 88%) 2025-08-14T22:50:53.4644929Z adding: test/test-reports/nn.test_pruning_1.1_1b0a73985dd483c9_.log (deflated 80%) 2025-08-14T22:50:53.4645596Z adding: test/test-reports/test_cuda_primary_ctx_1.1_fa4282da277614ee_.log (deflated 36%) 2025-08-14T22:50:53.4646226Z adding: test/test-reports/test_itt_1.1_fecf2990bcb9e07e_.log (deflated 49%) 2025-08-14T22:50:53.4646930Z adding: test/test-reports/test_mobile_optimizer_1.1_c11a3f609a9eec26_.log (deflated 65%) 2025-08-14T22:50:53.4651122Z adding: test/test-reports/test_sympy_utils_1.1_1e22da4df59eca25_.log (deflated 89%) 2025-08-14T22:50:53.4652939Z adding: test/test-reports/test_multiprocessing_spawn_1.1_f0cc4a49546312ab_.log (deflated 90%) 2025-08-14T22:50:53.4653639Z adding: test/test-reports/cpp.scalar_test_1.1_898120e24bf7c175_.log (deflated 73%) 2025-08-14T22:50:53.4668116Z adding: test/test-reports/nn.test_convolution_1.1_41262e80732dca3b_.log (deflated 95%) 2025-08-14T22:50:53.4698994Z adding: test/test-reports/cpp.test_api_1.1_4c6c57364a491869_.log (deflated 93%) 2025-08-14T22:50:53.4705878Z adding: test/test-reports/test_spectral_ops_1.1_a0b5020d818eb2a1_.log (deflated 92%) 2025-08-14T22:50:53.4715598Z adding: test/test-reports/test_dynamic_shapes_1.1_0e1b313ca5e0811c_.log (deflated 91%) 2025-08-14T22:50:53.4720975Z adding: test/test-reports/distributions.test_distributions_1.1_057b387efab52ea8_.log (deflated 90%) 2025-08-14T22:50:53.4725415Z adding: test/test-reports/test_package_1.1_26499c6012b811e3_.log (deflated 86%) 2025-08-14T22:50:53.4726462Z adding: test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_ede3ba042cc4dee2_.log (deflated 77%) 2025-08-14T22:50:53.4727175Z adding: test/test-reports/test_hop_infra_1.1_f4771e3d5d9f74fa_.log (deflated 56%) 2025-08-14T22:50:53.4728058Z adding: test/test-reports/test_cpp_extensions_aot_ninja_1.1_1adfe61f00d75a26_.log (deflated 77%) 2025-08-14T22:50:53.4740536Z adding: test/test-reports/test_nestedtensor_2.4_abd36bdda7842e02_.log (deflated 92%) 2025-08-14T22:50:53.4741266Z adding: test/test-reports/inductor.test_cudagraph_trees_1.1_1c130ba826d254f6_.log (deflated 35%) 2025-08-14T22:50:53.4742004Z adding: test/test-reports/torch_np.test_indexing_1.1_f33d8805dcdd5206_.log (deflated 62%) 2025-08-14T22:50:53.4742706Z adding: test/test-reports/inductor.test_aot_inductor_1.1_f91cfe5807cee8bf_.log (deflated 35%) 2025-08-14T22:50:53.4743416Z adding: test/test-reports/dynamo.test_unspec_1.1_0cc6b31c62b2315c_.log (deflated 50%) 2025-08-14T22:50:53.4744164Z adding: test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_6ffbaf877bf2b613_.log (deflated 52%) 2025-08-14T22:50:53.4744988Z adding: test/test-reports/inductor.test_mkldnn_pattern_matcher_1.3_e8f100045c1f3a48_.log (deflated 51%) 2025-08-14T22:50:53.4745807Z adding: test/test-reports/test_comparison_utils_1.1_234b5f25b7cc05b9_.log (deflated 65%) 2025-08-14T22:50:53.4746534Z adding: test/test-reports/inductor.test_triton_wrapper_1.1_1f8fe3e93609c448_.log (deflated 35%) 2025-08-14T22:50:53.4747272Z adding: test/test-reports/functorch.test_ac_logging_1.1_0572f94b0a126f89_.log (deflated 61%) 2025-08-14T22:50:53.4748171Z adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_81952ff7ffc25b1c_.log (deflated 35%) 2025-08-14T22:50:53.4871436Z adding: test/test-reports/test_jit_fuser_te_1.1_954188f1b86b2c72_.log (deflated 96%) 2025-08-14T22:50:53.4872140Z adding: test/test-reports/inductor.test_padding_1.1_e419da676b8a9a3d_.log (deflated 35%) 2025-08-14T22:50:53.4872874Z adding: test/test-reports/test_appending_byte_serializer_1.1_c43a4b0ca7c34230_.log (deflated 60%) 2025-08-14T22:50:53.4873657Z adding: test/test-reports/inductor.test_cpu_select_algorithm_4.15_e86d63bbc9ac60e9_.log (deflated 51%) 2025-08-14T22:50:53.4874381Z adding: test/test-reports/test_mkl_verbose_1.1_370075f29c7e233d_.log (deflated 53%) 2025-08-14T22:50:53.4875095Z adding: test/test-reports/inductor.test_cpu_select_algorithm_7.15_4ba9abb911f55759_.log (deflated 51%) 2025-08-14T22:50:53.4875805Z adding: test/test-reports/test_autoload_1.1_1782b527489cfa71_.log (deflated 50%) 2025-08-14T22:50:53.4876750Z adding: test/test-reports/inductor.test_cpu_select_algorithm_9.15_6c78c3d89c7452aa_.log (deflated 51%) 2025-08-14T22:50:53.4877482Z adding: test/test-reports/nn.test_packed_sequence_1.1_444672042209ef83_.log (deflated 72%) 2025-08-14T22:50:53.4878203Z adding: test/test-reports/inductor.test_triton_syntax_1.1_e8ef0074eba23bdd_.log (deflated 35%) 2025-08-14T22:50:53.4879001Z adding: test/test-reports/test_tensorboard_1.1_1e906ec5985a49f2_.log (deflated 50%) 2025-08-14T22:50:53.4879749Z adding: test/test-reports/inductor.test_triton_extension_backend_1.1_f0cf35eb6a9634b2_.log (deflated 51%) 2025-08-14T22:50:53.4880509Z adding: test/test-reports/test_utils_config_module_1.1_868509cf64c61f40_.log (deflated 78%) 2025-08-14T22:50:53.4881288Z adding: test/test-reports/inductor.test_memory_planning_1.1_422c7af604b1c045_.log (deflated 35%) 2025-08-14T22:50:53.4882040Z adding: test/test-reports/test_functionalization_1.1_afcfbaa30dbfbdcd_.log (deflated 88%) 2025-08-14T22:50:53.4882783Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_2.8_affc280bcd22d2d0_.log (deflated 50%) 2025-08-14T22:50:53.4895925Z adding: test/test-reports/test_quantization_4.4_6116ea4d5cda150d_.log (deflated 86%) 2025-08-14T22:50:53.4896653Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_3.8_fdb5d9831ef6677f_.log (deflated 50%) 2025-08-14T22:50:53.4897350Z adding: test/test-reports/test_jiterator_1.1_396777c32288a39e_.log (deflated 49%) 2025-08-14T22:50:53.4898040Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_6.8_2a62e33530b4f73e_.log (deflated 51%) 2025-08-14T22:50:53.4917429Z adding: test/test-reports/test_decomp_9.11_15b4a50bdb5a1d46_.log (deflated 90%) 2025-08-14T22:50:53.4918121Z adding: test/test-reports/inductor.test_cudacodecache_1.1_c0a5c358d6423412_.log (deflated 35%) 2025-08-14T22:50:53.4984191Z adding: test/test-reports/test_jit_1.1_3ae84d6885e9db33_.log (deflated 88%) 2025-08-14T22:50:53.4984871Z adding: test/test-reports/inductor.test_quantization_1.1_053e6aecf4801c63_.log (deflated 35%) 2025-08-14T22:50:53.5106489Z adding: test/test-reports/test_schema_check_1.1_605dc07f371f95fc_.log (deflated 96%) 2025-08-14T22:50:53.5107179Z adding: test/test-reports/inductor.test_fxir_backend_1.1_c95e60157859f86e_.log (deflated 35%) 2025-08-14T22:50:53.5107885Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_0dbaa70366d1a281_.log (deflated 50%) 2025-08-14T22:50:53.5108652Z adding: test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_eed0a079794f1437_.log (deflated 35%) 2025-08-14T22:50:53.5109406Z adding: test/test-reports/cpp.test_api_1.1_3875afb20231d364_.log (deflated 73%) 2025-08-14T22:50:53.5110030Z adding: test/test-reports/test_quantization_4.4_b2bc6eae79ef995a_.log (deflated 54%) 2025-08-14T22:50:53.5110696Z adding: test/test-reports/test_dynamic_shapes_1.1_af9824f70e2cfc09_.log (deflated 50%) 2025-08-14T22:50:53.5111356Z adding: test/test-reports/test_mkldnn_fusion_1.1_fa36178da2fb350b_.log (deflated 50%) 2025-08-14T22:50:53.5112231Z adding: test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_7f2f323db9b9ed72_.log (deflated 51%) 2025-08-14T22:50:53.5112937Z adding: test/test-reports/test_package_1.1_4f3745f88d199458_.log (deflated 56%) 2025-08-14T22:50:53.5113557Z adding: test/test-reports/test_hop_infra_1.1_3c039e274271854c_.log (deflated 49%) 2025-08-14T22:50:53.5114203Z adding: test/test-reports/test_datapipe_1.1_ab8049f044a75de4_.log (deflated 86%) 2025-08-14T22:50:53.5114858Z adding: test/test-reports/test_comparison_utils_1.1_c96a280ec7bf52ca_.log (deflated 50%) 2025-08-14T22:50:53.5115593Z adding: test/test-reports/test_bundled_inputs_1.1_53158d4bc9395869_.log (deflated 71%) 2025-08-14T22:50:53.5116296Z adding: test/test-reports/functorch.test_ac_logging_1.1_5bd92c7a6ef7515a_.log (deflated 51%) 2025-08-14T22:50:53.5116973Z adding: test/test-reports/test_mkl_verbose_1.1_53720039e0911661_.log (deflated 50%) 2025-08-14T22:50:53.5175799Z adding: test/test-reports/test_transformers_1.2_2133515aa949da7b_.log (deflated 98%) 2025-08-14T22:50:53.5176668Z adding: test/test-reports/test_appending_byte_serializer_1.1_ba75db71197a2384_.log (deflated 51%) 2025-08-14T22:50:53.5177363Z adding: test/test-reports/test_autoload_1.1_f870d3215ee0bbb6_.log (deflated 49%) 2025-08-14T22:50:53.5178004Z adding: test/test-reports/test_proxy_tensor_1.2_0454f8b32b7d550a_.log (deflated 49%) 2025-08-14T22:50:53.5178736Z adding: test/test-reports/test_mkldnn_verbose_1.1_b68d65c1e56fa321_.log (deflated 50%) 2025-08-14T22:50:53.5179388Z adding: test/test-reports/lazy.test_generator_1.1_10b4a693670cc08f_.log (deflated 55%) 2025-08-14T22:50:53.5180072Z adding: test/test-reports/test_utils_config_module_1.1_272086bf5c8ae561_.log (deflated 50%) 2025-08-14T22:50:53.5198351Z adding: test/test-reports/test_maskedtensor_1.1_1f817a6b6c36dbaf_.log (deflated 94%) 2025-08-14T22:50:53.5199041Z adding: test/test-reports/test_functionalization_1.1_240746879821a75c_.log (deflated 50%) 2025-08-14T22:50:53.5200334Z adding: test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_794a50b4058601b7_.log (deflated 84%) 2025-08-14T22:50:53.5201173Z adding: test/test-reports/test_rename_privateuse1_to_existing_device_1.1_6e24ab408b9d2719_.log (deflated 52%) 2025-08-14T22:50:53.5201937Z adding: test/test-reports/test_transformers_1.2_b1ff6fe6628e6c82_.log (deflated 50%) 2025-08-14T22:50:53.5202603Z adding: test/test-reports/test_nestedtensor_2.4_5702ab839a25c8dd_.log (deflated 49%) 2025-08-14T22:50:53.5203251Z adding: test/test-reports/test_jiterator_1.1_0cc77b5c7ae81ace_.log (deflated 49%) 2025-08-14T22:50:53.5203863Z adding: test/test-reports/test_decomp_3.11_e3366da2029f0af4_.log (deflated 49%) 2025-08-14T22:50:53.5204484Z adding: test/test-reports/test_decomp_5.11_de142d0366ee85d7_.log (deflated 49%) 2025-08-14T22:50:53.5205098Z adding: test/test-reports/test_decomp_9.11_1d8b48e481919d8b_.log (deflated 49%) 2025-08-14T22:50:53.5205700Z adding: test/test-reports/test_hub_1.1_d864f12e3ccf5ead_.log (deflated 49%) 2025-08-14T22:50:53.5206317Z adding: test/test-reports/dynamo.test_unspec_1.1_372ec66d9840449e_.log (deflated 79%) 2025-08-14T22:50:53.5207062Z adding: test/test-reports/test_set_default_mobile_cpu_allocator_1.1_a16357fdd8d75e53_.log (deflated 51%) 2025-08-14T22:50:53.5255222Z adding: test/test-reports/test_proxy_tensor_1.2_8891c96e65b580ca_.log (deflated 93%) 2025-08-14T22:50:53.5255933Z adding: test/test-reports/test_cuda_expandable_segments_1.1_313c87e40b968806_.log (deflated 35%) 2025-08-14T22:50:53.5256608Z adding: test/test-reports/test_stateless_1.1_6495aae0af71c3c5_.log (deflated 50%) 2025-08-14T22:50:53.5284572Z adding: test/test-reports/test_linalg_1.1_e0b2903348166100_.log (deflated 94%) 2025-08-14T22:50:53.5285281Z adding: test/test-reports/distributions.test_constraints_1.1_88900b8a259729ca_.log (deflated 51%) 2025-08-14T22:50:53.5296470Z adding: test/test-reports/functorch.test_aotdispatch_4.6_5fd0ed47d729e448_.log (deflated 90%) 2025-08-14T22:50:53.5297227Z adding: test/test-reports/profiler.test_record_function_1.1_ca236295fce183ff_.log (deflated 51%) 2025-08-14T22:50:53.5298572Z adding: test/test-reports/test_tensorboard_1.1_5005e3ee45e99f7f_.log (deflated 81%) 2025-08-14T22:50:53.5299238Z adding: test/test-reports/nn.test_lazy_modules_1.1_958567aab246ca4e_.log (deflated 50%) 2025-08-14T22:50:53.5299906Z adding: test/test-reports/test_jit_fuser_te_1.1_eac3a0ede03c9157_.log (deflated 49%) 2025-08-14T22:50:53.5300553Z adding: test/test-reports/test_mkldnn_fusion_1.1_2e9a9a772fd9d5fd_.log (deflated 63%) 2025-08-14T22:50:53.5301243Z adding: test/test-reports/test_segment_reductions_1.1_ce3c3f9579d04b1f_.log (deflated 50%) 2025-08-14T22:50:53.5301934Z adding: test/test-reports/test_import_stats_1.1_c8476bd3ee4c9a03_.log (deflated 50%) 2025-08-14T22:50:53.5302569Z adding: test/test-reports/test_masked_1.1_52eff219a1274358_.log (deflated 49%) 2025-08-14T22:50:53.5303176Z adding: test/test-reports/test_monitor_1.1_ea2fc29edd09f34e_.log (deflated 49%) 2025-08-14T22:50:53.5303816Z adding: test/test-reports/test_accelerator_1.1_a8a587c8b145919c_.log (deflated 36%) 2025-08-14T22:50:53.5304512Z adding: test/test-reports/profiler.test_cpp_thread_1.1_2d817927f46d7e8b_.log (deflated 56%) 2025-08-14T22:50:53.5305188Z adding: test/test-reports/test_subclass_1.1_43a0ab529d430ae2_.log (deflated 49%) 2025-08-14T22:50:53.5310330Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_3f24b218b9f3998d_.log (deflated 92%) 2025-08-14T22:50:53.5311041Z adding: test/test-reports/profiler.test_profiler_1.1_dbbccce3a396cfee_.log (deflated 75%) 2025-08-14T22:50:53.5347283Z adding: test/test-reports/test_decomp_3.11_f161f5753366dffa_.log (deflated 90%) 2025-08-14T22:50:53.5348216Z adding: test/test-reports/functorch.test_vmap_registrations_1.1_5452b485f087688f_.log (deflated 51%) 2025-08-14T22:50:53.5349094Z adding: test/test-reports/nn.test_pruning_1.1_71dfab20973cfcd4_.log (deflated 50%) 2025-08-14T22:50:53.5349723Z adding: test/test-reports/test_itt_1.1_da6aaaa3c7fa6753_.log (deflated 49%) 2025-08-14T22:50:53.5350427Z adding: test/test-reports/inductor.test_mkldnn_pattern_matcher_1.3_1e59cf4541e89d22_.log (deflated 90%) 2025-08-14T22:50:53.5351251Z adding: test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_17b07d573f16ba89_.log (deflated 52%) 2025-08-14T22:50:53.5351985Z adding: test/test-reports/test_sympy_utils_1.1_f4fb4c3fb28485b5_.log (deflated 50%) 2025-08-14T22:50:53.5352644Z adding: test/test-reports/torch_np.test_indexing_1.1_6f5a8eec4514daf0_.log (deflated 50%) 2025-08-14T22:50:53.5353399Z adding: test/test-reports/inductor.test_cpu_select_algorithm_4.15_c6f337ec3768e080_.log (deflated 92%) 2025-08-14T22:50:53.5354223Z adding: test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_917e43f0e1f58f73_.log (deflated 52%) 2025-08-14T22:50:53.5354948Z adding: test/test-reports/test_jit_1.1_f6e94a4f620d7e9e_.log (deflated 49%) 2025-08-14T22:50:53.5384259Z adding: test/test-reports/functorch.test_ops_1.6_a01bcd61c40de8e9_.log (deflated 92%) 2025-08-14T22:50:53.5384963Z adding: test/test-reports/nn.test_packed_sequence_1.1_f917560b352b04d7_.log (deflated 50%) 2025-08-14T22:50:53.5385727Z adding: test/test-reports/lazy.test_generator_1.1_84f72553d89e4044_.log (deflated 50%) 2025-08-14T22:50:53.5386627Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_9ac7f1dcbaab1c84_.log (deflated 55%) 2025-08-14T22:50:53.5387512Z adding: test/test-reports/functorch.test_ops_1.6_98cb1d289f8cb322_.log (deflated 50%) 2025-08-14T22:50:53.5388189Z adding: test/test-reports/cpp.operators_test_1.1_2f175a315c128d12_.log (deflated 73%) 2025-08-14T22:50:53.5388898Z adding: test/test-reports/functorch.test_aotdispatch_4.6_0b1e5bb09b29d969_.log (deflated 52%) 2025-08-14T22:50:53.5389607Z adding: test/test-reports/test_schema_check_1.1_3864d38df9a74dfc_.log (deflated 50%) 2025-08-14T22:50:53.5390234Z adding: test/test-reports/test_datapipe_1.1_df2dc51a385e864e_.log (deflated 49%) 2025-08-14T22:50:53.5390875Z adding: test/test-reports/test_bundled_inputs_1.1_ecb5cd791062f189_.log (deflated 50%) 2025-08-14T22:50:53.5391651Z adding: test/test-reports/test_hub_1.1_854436e970f5ae36_.log (deflated 69%) 2025-08-14T22:50:53.5392321Z adding: test/test-reports/profiler.test_execution_trace_1.1_2b5e4291c093952d_.log (deflated 51%) 2025-08-14T22:50:53.5393021Z adding: test/test-reports/test_maskedtensor_1.1_9edae57c172cb68e_.log (deflated 50%) 2025-08-14T22:50:53.5393763Z adding: test/test-reports/benchmark_utils.test_benchmark_utils_1.1_80b2bfb5c31ab5da_.log (deflated 52%) 2025-08-14T22:50:53.5394478Z adding: test/test-reports/test_linalg_1.1_4de22049e4de3f8e_.log (deflated 57%) 2025-08-14T22:50:53.5395103Z adding: test/test-reports/test_accelerator_1.1_6b6c9dc32a63a6d2_.log (deflated 36%) 2025-08-14T22:50:53.5395812Z adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_e86cfdb3a4efb444_.log (deflated 35%) 2025-08-14T22:50:53.5396843Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_6.8_95fded245a2e229c_.log (deflated 90%) 2025-08-14T22:50:53.5397610Z adding: test/test-reports/inductor.test_cudagraph_trees_1.1_22bb819e27dca7f8_.log (deflated 35%) 2025-08-14T22:50:53.5398351Z adding: test/test-reports/inductor.test_aot_inductor_1.1_5ada9715b678b79c_.log (deflated 35%) 2025-08-14T22:50:53.5399146Z adding: test/test-reports/test_cuda_expandable_segments_1.1_68d35b36668a21ff_.log (deflated 35%) 2025-08-14T22:50:53.5399893Z adding: test/test-reports/inductor.test_triton_syntax_1.1_9fce69d4a159f4e3_.log (deflated 35%) 2025-08-14T22:50:53.5400638Z adding: test/test-reports/inductor.test_triton_wrapper_1.1_6497adff5b88b620_.log (deflated 35%) 2025-08-14T22:50:53.5401332Z adding: test/test-reports/cpp.Dict_test_1.1_6128a3664677ae3d_.log (deflated 73%) 2025-08-14T22:50:53.5402017Z adding: test/test-reports/inductor.test_padding_1.1_ccdecd5a1d550aa6_.log (deflated 35%) 2025-08-14T22:50:53.5402790Z adding: test/test-reports/inductor.test_triton_extension_backend_1.1_e2823c93b014e065_.log (deflated 51%) 2025-08-14T22:50:53.5404127Z adding: test/test-reports/inductor.test_cpu_select_algorithm_7.15_92a64920e18ebdc1_.log (deflated 92%) 2025-08-14T22:50:53.5408718Z adding: test/test-reports/inductor.test_cpu_select_algorithm_9.15_17b5d35fc3bb7bb7_.log (deflated 92%) 2025-08-14T22:50:53.5409549Z adding: test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_84bfe91d7cc323cc_.log (deflated 35%) 2025-08-14T22:50:53.5410974Z adding: test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_0be4cc6c6a096adb_.log (deflated 86%) 2025-08-14T22:50:53.5411811Z adding: test/test-reports/test_rename_privateuse1_to_existing_device_1.1_8ea52c563a073291_.log (deflated 55%) 2025-08-14T22:50:53.5412643Z adding: test/test-reports/test_set_default_mobile_cpu_allocator_1.1_cad9f6e41d0714e3_.log (deflated 58%) 2025-08-14T22:50:53.5415352Z adding: test/test-reports/distributions.test_constraints_1.1_a676bc266b950977_.log (deflated 91%) 2025-08-14T22:50:53.5416116Z adding: test/test-reports/profiler.test_record_function_1.1_4526141bcf22ddbf_.log (deflated 63%) 2025-08-14T22:50:53.5452831Z adding: test/test-reports/functorch.test_vmap_registrations_1.1_a8b66d6fc01e5e26_.log (deflated 96%) 2025-08-14T22:50:53.5459081Z adding: test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_9d929d20f4b5ff0f_.log (deflated 90%) 2025-08-14T22:50:53.5470427Z adding: test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_151cff43e2cae1df_.log (deflated 93%) 2025-08-14T22:50:53.5473268Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_2d1f640bd5ad33f1_.log (deflated 83%) 2025-08-14T22:50:53.5474219Z adding: test/test-reports/profiler.test_execution_trace_1.1_ce33dd0068eca4c4_.log (deflated 80%) 2025-08-14T22:50:53.5476614Z adding: test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_18f2ea27002522df_.log (deflated 85%) 2025-08-14T22:50:53.5477730Z adding: test/test-reports/benchmark_utils.test_benchmark_utils_1.1_b457a598771e2d97_.log (deflated 70%) 2025-08-14T22:50:53.5478972Z adding: test/test-reports/cpp.NamedTensor_test_1.1_f2a6ea449c44fb4c_.log (deflated 73%) 2025-08-14T22:50:53.5479662Z adding: test/test-reports/cpp.apply_utils_test_1.1_8cb4c1d562aae79c_.log (deflated 73%) 2025-08-14T22:50:53.5480352Z adding: test/test-reports/cpp.cpu_generator_test_1.1_314f84179b61ff02_.log (deflated 73%) 2025-08-14T22:50:53.5481047Z adding: test/test-reports/cpp.dlconvertor_test_1.1_1ebf051263ab2bc1_.log (deflated 73%) 2025-08-14T22:50:53.5481757Z adding: test/test-reports/cpp.extension_backend_test_1.1_a4e61dce9865fa2f_.log (deflated 73%) 2025-08-14T22:50:53.5482442Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_52d872d9c81d6295_.log (deflated 73%) 2025-08-14T22:50:53.5483126Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_be4e7dc9cdcb0a42_.log (deflated 73%) 2025-08-14T22:50:53.5483809Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_397acf2ae7120846_.log (deflated 73%) 2025-08-14T22:50:53.5484510Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_97bb51123d5dd12a_.log (deflated 73%) 2025-08-14T22:50:53.5485227Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_ee81ecab8a2f8ba5_.log (deflated 73%) 2025-08-14T22:50:53.5485933Z adding: test/test-reports/cpp.NamedTensor_test_1.1_524256c5b06c58ec_.log (deflated 77%) 2025-08-14T22:50:53.5486667Z adding: test/test-reports/cpp.apply_utils_test_1.1_c06dd06686df0382_.log (deflated 75%) 2025-08-14T22:50:53.5487350Z adding: test/test-reports/cpp.cpu_generator_test_1.1_4fc8ce20e76b7ed3_.log (deflated 80%) 2025-08-14T22:50:53.5488027Z adding: test/test-reports/cpp.dlconvertor_test_1.1_5a67f8dbbd94bce5_.log (deflated 75%) 2025-08-14T22:50:53.5488734Z adding: test/test-reports/cpp.extension_backend_test_1.1_056c57b44382b1b9_.log (deflated 72%) 2025-08-14T22:50:53.5489479Z adding: test/test-reports/cpp.lazy_tensor_test_1.1_f5cdf340a898211c_.log (deflated 72%) 2025-08-14T22:50:53.5490137Z adding: test/test-reports/cpp.legacy_vmap_test_1.1_64d746b5f3164114_.log (deflated 82%) 2025-08-14T22:50:53.5490827Z adding: test/test-reports/cpp.scalar_tensor_test_1.1_a3512a716bdd7798_.log (deflated 74%) 2025-08-14T22:50:53.5491537Z adding: test/test-reports/cpp.undefined_tensor_test_1.1_9f45073f2c616dac_.log (deflated 72%) 2025-08-14T22:50:53.5492251Z adding: test/test-reports/cpp.tensor_iterator_test_1.1_903270f1b0165647_.log (deflated 88%) 2025-08-14T22:50:53.5492944Z adding: test/test-reports/cpp.static_runtime_test_1.1_2819144acdfabf00_.log (deflated 73%) 2025-08-14T22:50:53.5502162Z adding: test/test-reports/cpp.static_runtime_test_1.1_75e87189dc75ef60_.log (deflated 89%) 2025-08-14T22:50:53.5535203Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-08-14T22:50:53.5535741Z # Remove any previous debugging artifacts if they exist 2025-08-14T22:50:53.5536135Z rm -f debug-*.zip 2025-08-14T22:50:53.5536419Z if [ -d 'test/debug' ]; then 2025-08-14T22:50:53.5536777Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-08-14T22:50:53.5537104Z fi 2025-08-14T22:50:53.5542701Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:53.5543081Z env: 2025-08-14T22:50:53.5543304Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:53.5543746Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:53.5544241Z DEVICE_NAME: 2025-08-14T22:50:53.5544469Z DEVICE_TYPE: 2025-08-14T22:50:53.5544787Z FILE_SUFFIX: test-default-1-5-lf.linux.4xlarge_48127032070 2025-08-14T22:50:53.5545155Z ##[endgroup] 2025-08-14T22:50:53.5624252Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:50:53.5624578Z with: 2025-08-14T22:50:53.5624802Z s3-bucket: gha-artifacts 2025-08-14T22:50:53.5625137Z s3-prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:53.5625487Z retention-days: 14 2025-08-14T22:50:53.5625873Z if-no-files-found: warn 2025-08-14T22:50:53.5626165Z path: test-jsons-*.zip 2025-08-14T22:50:53.5626434Z name: artifact 2025-08-14T22:50:53.5626657Z region: us-east-1 2025-08-14T22:50:53.5626897Z env: 2025-08-14T22:50:53.5627287Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:53.5627741Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:53.5628238Z DEVICE_NAME: 2025-08-14T22:50:53.5628478Z DEVICE_TYPE: 2025-08-14T22:50:53.5628693Z ##[endgroup] 2025-08-14T22:50:53.9147225Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:50:53.9148066Z With the provided path, there will be 1 file uploaded 2025-08-14T22:50:53.9148559Z Uploading to s3 prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:53.9188441Z Starting upload of test-jsons-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:50:54.0479332Z Finished upload of test-jsons-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:50:54.0667557Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:50:54.0667926Z with: 2025-08-14T22:50:54.0668154Z s3-bucket: gha-artifacts 2025-08-14T22:50:54.0668463Z s3-prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:54.0668828Z retention-days: 14 2025-08-14T22:50:54.0669085Z if-no-files-found: error 2025-08-14T22:50:54.0669354Z path: test-reports-*.zip 2025-08-14T22:50:54.0669617Z name: artifact 2025-08-14T22:50:54.0669952Z region: us-east-1 2025-08-14T22:50:54.0670186Z env: 2025-08-14T22:50:54.0670388Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:54.0670852Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:54.0671347Z DEVICE_NAME: 2025-08-14T22:50:54.0671564Z DEVICE_TYPE: 2025-08-14T22:50:54.0671783Z ##[endgroup] 2025-08-14T22:50:54.3937165Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:50:54.3937823Z With the provided path, there will be 1 file uploaded 2025-08-14T22:50:54.3938259Z Uploading to s3 prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:54.3977249Z Starting upload of test-reports-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:50:54.5355847Z Finished upload of test-reports-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:50:54.5562697Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:50:54.5563278Z with: 2025-08-14T22:50:54.5563656Z s3-bucket: gha-artifacts 2025-08-14T22:50:54.5564249Z s3-prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:54.5564880Z retention-days: 14 2025-08-14T22:50:54.5565308Z if-no-files-found: ignore 2025-08-14T22:50:54.5565756Z path: logs-*.zip 2025-08-14T22:50:54.5566169Z name: artifact 2025-08-14T22:50:54.5566531Z region: us-east-1 2025-08-14T22:50:54.5566926Z env: 2025-08-14T22:50:54.5567290Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:54.5568118Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:54.5569030Z DEVICE_NAME: 2025-08-14T22:50:54.5569418Z DEVICE_TYPE: 2025-08-14T22:50:54.5569803Z ##[endgroup] 2025-08-14T22:50:54.8825222Z NOTE: s3-prefix specified, ignoring name parameter 2025-08-14T22:50:54.8825758Z With the provided path, there will be 1 file uploaded 2025-08-14T22:50:54.8826235Z Uploading to s3 prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:54.8865182Z Starting upload of logs-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:50:55.0882355Z Finished upload of logs-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:50:55.1074100Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-08-14T22:50:55.1074457Z with: 2025-08-14T22:50:55.1074693Z s3-bucket: gha-artifacts 2025-08-14T22:50:55.1075010Z s3-prefix: pytorch/pytorch/16976255017/1/artifact 2025-08-14T22:50:55.1075368Z retention-days: 14 2025-08-14T22:50:55.1075650Z if-no-files-found: ignore 2025-08-14T22:50:55.1075920Z path: debug-*.zip 2025-08-14T22:50:55.1076637Z name: artifact 2025-08-14T22:50:55.1076881Z region: us-east-1 2025-08-14T22:50:55.1077127Z env: 2025-08-14T22:50:55.1077335Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:55.1077807Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:55.1078494Z DEVICE_NAME: 2025-08-14T22:50:55.1078715Z DEVICE_TYPE: 2025-08-14T22:50:55.1078949Z ##[endgroup] 2025-08-14T22:50:55.4284521Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-08-14T22:50:55.4496158Z ##[group]Run # shellcheck disable=SC2156 2025-08-14T22:50:55.4496543Z # shellcheck disable=SC2156 2025-08-14T22:50:55.4497114Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-08-14T22:50:55.4502975Z shell: /usr/bin/bash -e {0} 2025-08-14T22:50:55.4503263Z env: 2025-08-14T22:50:55.4503471Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:55.4503928Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:55.4504420Z DEVICE_NAME: 2025-08-14T22:50:55.4504648Z DEVICE_TYPE: 2025-08-14T22:50:55.4504862Z ##[endgroup] 2025-08-14T22:50:55.7363578Z Prepare all required actions 2025-08-14T22:50:55.7363981Z Getting action download info 2025-08-14T22:50:55.8628506Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-08-14T22:50:55.8628882Z with: 2025-08-14T22:50:55.8629085Z job_id: 48127032070 2025-08-14T22:50:55.8629593Z job_name: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T22:50:55.8630053Z workflow_name: pull 2025-08-14T22:50:55.8630298Z workflow_run_id: 16976255017 2025-08-14T22:50:55.8630579Z workflow_attempt: 1 2025-08-14T22:50:55.8630825Z env: 2025-08-14T22:50:55.8631031Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:55.8631486Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:55.8632040Z DEVICE_NAME: 2025-08-14T22:50:55.8632268Z DEVICE_TYPE: 2025-08-14T22:50:55.8632483Z ##[endgroup] 2025-08-14T22:50:55.8655778Z ##[group]Run echo "workflow_id: 16976255017" 2025-08-14T22:50:55.8656193Z echo "workflow_id: 16976255017" 2025-08-14T22:50:55.8656525Z echo "workflow_attempt: 1" 2025-08-14T22:50:55.8656829Z echo "workflow_Name: pull" 2025-08-14T22:50:55.8657162Z echo "job_id: 48127032070" 2025-08-14T22:50:55.8657655Z echo "job_name: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)" 2025-08-14T22:50:55.8658162Z echo "artifact_prefix: " 2025-08-14T22:50:55.8658475Z python3 --version 2025-08-14T22:50:55.8664073Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:50:55.8664438Z env: 2025-08-14T22:50:55.8664659Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:55.8665117Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:55.8665716Z DEVICE_NAME: 2025-08-14T22:50:55.8665937Z DEVICE_TYPE: 2025-08-14T22:50:55.8666163Z ##[endgroup] 2025-08-14T22:50:55.8688654Z workflow_id: 16976255017 2025-08-14T22:50:55.8688945Z workflow_attempt: 1 2025-08-14T22:50:55.8689208Z workflow_Name: pull 2025-08-14T22:50:55.8689429Z job_id: 48127032070 2025-08-14T22:50:55.8689816Z job_name: linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge) 2025-08-14T22:50:55.8690272Z artifact_prefix: 2025-08-14T22:50:55.8700353Z Python 3.9.23 2025-08-14T22:50:55.8740573Z ##[group]Run nick-fields/retry@v3.0.0 2025-08-14T22:50:55.8740890Z with: 2025-08-14T22:50:55.8741085Z shell: bash 2025-08-14T22:50:55.8741315Z timeout_minutes: 5 2025-08-14T22:50:55.8741558Z max_attempts: 5 2025-08-14T22:50:55.8741785Z retry_wait_seconds: 30 2025-08-14T22:50:55.8742323Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-08-14T22:50:55.8742917Z polling_interval_seconds: 1 2025-08-14T22:50:55.8743188Z warning_on_retry: true 2025-08-14T22:50:55.8743451Z continue_on_error: false 2025-08-14T22:50:55.8743708Z env: 2025-08-14T22:50:55.8743907Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:50:55.8744363Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:50:55.8744847Z DEVICE_NAME: 2025-08-14T22:50:55.8745076Z DEVICE_TYPE: 2025-08-14T22:50:55.8745284Z ##[endgroup] 2025-08-14T22:50:56.2029498Z Defaulting to user installation because normal site-packages is not writeable 2025-08-14T22:50:56.2767779Z Collecting python-dateutil==2.8.2 2025-08-14T22:50:56.2918438Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-08-14T22:50:57.2715272Z Collecting boto3==1.35.42 2025-08-14T22:50:57.2760141Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-08-14T22:50:57.7839390Z Collecting pandas==2.1.3 2025-08-14T22:50:57.7873910Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-08-14T22:50:57.9185731Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-08-14T22:50:57.9204347Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-08-14T22:50:57.9249761Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-08-14T22:50:57.9255408Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-08-14T22:50:57.9259329Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-08-14T22:50:57.9908131Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-08-14T22:50:58.0202627Z Collecting tzdata>=2022.1 2025-08-14T22:50:58.0238738Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-08-14T22:50:58.8654632Z Collecting numpy<2,>=1.22.4 2025-08-14T22:50:58.8692115Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-08-14T22:50:59.0741669Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-08-14T22:50:59.0745712Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-08-14T22:50:59.0831307Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-08-14T22:50:59.0926276Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-08-14T22:50:59.1030472Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-08-14T22:50:59.1034556Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1) 2025-08-14T22:50:59.2673045Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-08-14T22:51:04.3194917Z Attempting uninstall: boto3 2025-08-14T22:51:04.3195528Z Found existing installation: boto3 1.35.33 2025-08-14T22:51:04.3293212Z Uninstalling boto3-1.35.33: 2025-08-14T22:51:04.3305927Z Successfully uninstalled boto3-1.35.33 2025-08-14T22:51:04.3875794Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-08-14T22:51:04.9555886Z Command completed after 1 attempt(s). 2025-08-14T22:51:04.9612338Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:51:04.9613035Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-08-14T22:51:04.9613533Z  --workflow-run-id "16976255017" \ 2025-08-14T22:51:04.9613892Z  --workflow-name "pull" \ 2025-08-14T22:51:04.9614218Z  --workflow-run-attempt "1" \ 2025-08-14T22:51:04.9614529Z  --job-id "48127032070" \ 2025-08-14T22:51:04.9615014Z  --job-name "linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)" \ 2025-08-14T22:51:04.9615529Z  --local-path "" \ 2025-08-14T22:51:04.9615822Z  --artifact-prefix "" 2025-08-14T22:51:04.9621922Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:51:04.9622308Z env: 2025-08-14T22:51:04.9622536Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:51:04.9622986Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:51:04.9623488Z DEVICE_NAME: 2025-08-14T22:51:04.9623717Z DEVICE_TYPE: 2025-08-14T22:51:04.9623928Z ##[endgroup] 2025-08-14T22:51:06.8608379Z repo: pytorch/pytorch 2025-08-14T22:51:06.8608785Z Search for test log in s3 bucket: ossci-utilization 2025-08-14T22:51:06.8609696Z Downloading logs-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:51:06.8610335Z extracting usage_log.txt from zip file logs-test-default-1-5-lf.linux.4xlarge_48127032070.zip 2025-08-14T22:51:06.8610891Z Converted Log Model: UtilizationMetadata: 2025-08-14T22:51:06.8612201Z UtilizationMetadata(level='metadata', workflow_id='16976255017', job_id='48127032070', workflow_name='pull', job_name='linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755205634, gpu_count=0, cpu_count=16, gpu_type=None, error=None) 2025-08-14T22:51:06.8613650Z [Db Segments] detected pytest cmd: 18, generated segments: 18 2025-08-14T22:51:06.8614039Z [db model] Peek db timeseries 2025-08-14T22:51:06.8614390Z :{ 2025-08-14T22:51:06.8614604Z "created_at": 1755211866, 2025-08-14T22:51:06.8614887Z "type": "utilization", 2025-08-14T22:51:06.8615135Z "tags": [ 2025-08-14T22:51:06.8615353Z "record" 2025-08-14T22:51:06.8615575Z ], 2025-08-14T22:51:06.8615783Z "time_stamp": 1755205634, 2025-08-14T22:51:06.8616069Z "repo": "pytorch/pytorch", 2025-08-14T22:51:06.8616356Z "workflow_id": 16976255017, 2025-08-14T22:51:06.8616621Z "run_attempt": 1, 2025-08-14T22:51:06.8616870Z "job_id": 48127032070, 2025-08-14T22:51:06.8617139Z "workflow_name": "pull", 2025-08-14T22:51:06.8617561Z "job_name": "linux-jammy-py3.13-clang12 / test (default, 1, 5, lf.linux.4xlarge)", 2025-08-14T22:51:06.8618025Z "json_data": "{}" 2025-08-14T22:51:06.8618276Z } 2025-08-14T22:51:06.8618762Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255017/1/48127032070/metadata 2025-08-14T22:51:06.8619666Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255017/1/48127032070/metadata 2025-08-14T22:51:06.8620607Z Writing 1240 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255017/1/48127032070/time_series 2025-08-14T22:51:06.8621570Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255017/1/48127032070/time_series 2025-08-14T22:51:06.9769413Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-08-14T22:51:06.9769864Z with: 2025-08-14T22:51:06.9770077Z env: 2025-08-14T22:51:06.9770287Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:51:06.9770763Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:51:06.9771255Z DEVICE_NAME: 2025-08-14T22:51:06.9771471Z DEVICE_TYPE: 2025-08-14T22:51:06.9771699Z ##[endgroup] 2025-08-14T22:51:06.9795760Z ##[group]Run set -eou pipefail 2025-08-14T22:51:06.9796095Z set -eou pipefail 2025-08-14T22:51:06.9796363Z  2025-08-14T22:51:06.9796747Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-08-14T22:51:06.9797194Z for _ in $(seq 1440); do 2025-08-14T22:51:06.9797527Z  # Break if no ssh session exists anymore 2025-08-14T22:51:06.9797882Z  if [ "$(who)" = "" ]; then 2025-08-14T22:51:06.9798167Z  break 2025-08-14T22:51:06.9798449Z  fi 2025-08-14T22:51:06.9798663Z  echo "." 2025-08-14T22:51:06.9798907Z  sleep 5 2025-08-14T22:51:06.9799141Z done 2025-08-14T22:51:06.9804732Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:51:06.9805109Z env: 2025-08-14T22:51:06.9805331Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:51:06.9805784Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:51:06.9806259Z DEVICE_NAME: 2025-08-14T22:51:06.9806486Z DEVICE_TYPE: 2025-08-14T22:51:06.9806710Z ##[endgroup] 2025-08-14T22:51:06.9828910Z Holding runner for 2 hours until all ssh sessions have logged out 2025-08-14T22:51:06.9915512Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:51:06.9916093Z # ignore expansion of "docker ps -q" since it could be empty 2025-08-14T22:51:06.9916520Z # shellcheck disable=SC2046 2025-08-14T22:51:06.9916865Z docker stop $(docker ps -q) || true 2025-08-14T22:51:06.9917194Z # Prune all of the docker images 2025-08-14T22:51:06.9917520Z docker system prune -af 2025-08-14T22:51:06.9922876Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:51:06.9923338Z env: 2025-08-14T22:51:06.9923559Z GIT_DEFAULT_BRANCH: main 2025-08-14T22:51:06.9924014Z DOCKER_CONTAINER_ID: 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:51:06.9924492Z DEVICE_NAME: 2025-08-14T22:51:06.9924721Z DEVICE_TYPE: 2025-08-14T22:51:06.9924947Z ##[endgroup] 2025-08-14T22:51:18.1249329Z 3f19798739b2 2025-08-14T22:51:18.6055202Z Deleted Containers: 2025-08-14T22:51:18.6055813Z 3f19798739b2b15da6321a9c3ca2f906557dc15482b2b76719845a981e7e2c1d 2025-08-14T22:51:18.6056144Z 2025-08-14T22:51:21.3214370Z Deleted Images: 2025-08-14T22:51:21.3215222Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-bfa89110622ba7202628e9faac705f183070defe 2025-08-14T22:51:21.3216491Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:e5a191418e9f11a59a218b040bad54b9c3113ac41271ba5a6874e1c6d47db7c7 2025-08-14T22:51:21.3217407Z deleted: sha256:d23aa400d15c13cf4cd8d85388ce0304ef46d5163b945cf305903ce37fa5c8ba 2025-08-14T22:51:21.3218067Z deleted: sha256:6a9f2117a37a88c716c4ba00fc7d9eea6f842884b250b2cc8f3da411dd6b5a18 2025-08-14T22:51:21.3218708Z deleted: sha256:928a77ff77b53b8b159d2ba363b25a33b16ccd93cb7215cf62bb7c60a2952e3c 2025-08-14T22:51:21.3219361Z deleted: sha256:5dee72bfa24414d9e210a7838e3b34431872f20c366f00af7aa7fadde516421b 2025-08-14T22:51:21.3220020Z deleted: sha256:1a15d9fcdc8987a68a9549fc2819474e6ddea57ba42e24a01d0be1a6cbda7060 2025-08-14T22:51:21.3220665Z deleted: sha256:e2d8116b3ffb55e75c7f523650cb4c816e927f2076e7c19f7b2ef54e4f857e0c 2025-08-14T22:51:21.3221296Z deleted: sha256:b9c9ba2b294f2187caac77f5e0291821e746648f48bf2d0c1577f7eca51a8d62 2025-08-14T22:51:21.3222263Z deleted: sha256:7c3675c940ec902207caa8a0d03894c080a8d8fc721114c3904dcd72fc4a415e 2025-08-14T22:51:21.3222906Z deleted: sha256:4547bb4a07ca8e52ec196fa1f63f7391f7d06e0d29f980871366438f739df9da 2025-08-14T22:51:21.3223544Z deleted: sha256:2ebe27a40fc81f9aae69ae37445c9aa945ca2d0dcf6e0c281128f085bf4cf76a 2025-08-14T22:51:21.3224207Z deleted: sha256:ca6a703fceeb779461fdc459bc937d0094ff980603a0a4e71f0e829eaa5fa118 2025-08-14T22:51:21.3224849Z deleted: sha256:3a428e349966aa88f868ae3bf776b8c5718759cdc0b993836415229dc804707f 2025-08-14T22:51:21.3225490Z deleted: sha256:773b526c78b8715e0d2bda57bbeb32bc87c4ec80e0bffe5472e438737341e7a5 2025-08-14T22:51:21.3226206Z deleted: sha256:e82c6aa9fc8af2aff06b6d88c0b06e4a0739db3b5b7d70a3bb105c82a61de9fc 2025-08-14T22:51:21.3226873Z deleted: sha256:7e04c6b532eefafa80e76248d3814a181be47fbe46eed0a696cefb79064ec5a8 2025-08-14T22:51:21.3227539Z deleted: sha256:e9bf0bfc5957d76fa99939c66b7e5e047b8bce0fe765cbff6d46b28aad45a0b6 2025-08-14T22:51:21.3228189Z deleted: sha256:fdcbc86ac632fd123e8527c854e66bd792c9183311e113e85d0603aed0ec62d3 2025-08-14T22:51:21.3228840Z deleted: sha256:3fbdd8952ba23d37022ce76060ad0948e309ea5242430a847cc6102e1451ff2e 2025-08-14T22:51:21.3229485Z deleted: sha256:320618dbfa6e7f85cdb5623312c926804a4dcdc2bd9840c2a9bd6cd370e12f9b 2025-08-14T22:51:21.3230138Z deleted: sha256:65db544a44cfd8094e387e2397d809b32d4b50c7d6ccfba1a3266daee4dbd004 2025-08-14T22:51:21.3230777Z deleted: sha256:b12f4dee7eba20063962d2ddcb6332d9750fa2d959b2f566f83874dcb69eaafc 2025-08-14T22:51:21.3231427Z deleted: sha256:2c33e79f5288777dc16269ebd1295d795e73e1e002f8c5ac07ad9be0272d4f50 2025-08-14T22:51:21.3232069Z deleted: sha256:c993a13a507c0a2f1bef70a8626bec6350ef996fb3105a9da2732286d6487845 2025-08-14T22:51:21.3232722Z deleted: sha256:3780bd3ef569ac2dfb12993f123343e801b58d90d5f5b0bd4beede0ac6ea45d8 2025-08-14T22:51:21.3233375Z deleted: sha256:206cbfe5b09726cecb1bf90caea735584f8f5c2dd4436dae56530d31e5d4e005 2025-08-14T22:51:21.3234032Z deleted: sha256:76416f6a3fa3adfed29870d74e333b72a66c6b1c3ebb1bd4be3d5298ae35c64b 2025-08-14T22:51:21.3234688Z deleted: sha256:2fca71368b8883e15f3eb767b92845ca03ebe9b6c346a14bdb66d1449a903194 2025-08-14T22:51:21.3235314Z deleted: sha256:ce5fb24380f870bf327ca0f88742a41cc762b4163f828aa0408011a638e5d47b 2025-08-14T22:51:21.3236043Z deleted: sha256:a1b5e482c7086bd5c97f16dfdb3eb4a98dbca0148cdee33d1117243e90175124 2025-08-14T22:51:21.3236698Z deleted: sha256:c74d38a79742e7578455bec4a76dacf4bfb15813eb1679c12f4af9ac255d572e 2025-08-14T22:51:21.3237338Z deleted: sha256:81b79c3a64a902559dc78ea6834de5144c88898d662b2dfb08d1c1cbb0e1fed7 2025-08-14T22:51:21.3237971Z deleted: sha256:be31637e5b1f408d7b759034b4d3cf7fc716658b53f1e4a374bebc9526dd6a5d 2025-08-14T22:51:21.3238673Z deleted: sha256:e5062cb05be06b01c49a244b6b082748dd12545c7cfb7c7c76025917deabadd5 2025-08-14T22:51:21.3239324Z deleted: sha256:06c9dea7a7fc43dd528e5368e22f448517ef809d42ea18729146344ed30479be 2025-08-14T22:51:21.3239956Z deleted: sha256:2512cf103d87433fccadd4b56e69f9e0d075d203276580e0b69a463ae91a1b75 2025-08-14T22:51:21.3240613Z deleted: sha256:c6bd12c5b54ea083e9e78cf2a176e6c68fb652d5ed2d624e207b2f1eddb841cc 2025-08-14T22:51:21.3241265Z deleted: sha256:040e1d022d0751a9aff9218fea71cba5e86671e40d5c15d82dd14a4ddd2b6fb5 2025-08-14T22:51:21.3241912Z deleted: sha256:29b1ab838e027376e2ac41ba4120873d2c7744a1ffc1c15647c9ac8760a9932e 2025-08-14T22:51:21.3242552Z deleted: sha256:197e44bedfaa88dea72b1fd796226a7df6ed698e90c95dbb4f30266830dde17a 2025-08-14T22:51:21.3243214Z deleted: sha256:999b2e4cd2dadda96400c8a6d171639f4c4be7240ef6cabfe0011b0cfdbac9e4 2025-08-14T22:51:21.3243868Z deleted: sha256:77fae4d61fee9855db8d1b030a53418c0bcd998627f4a0b93ad15558628d6248 2025-08-14T22:51:21.3244523Z deleted: sha256:f552da59d80be92ea459ee33f3476f56fd8acfa9fd82ccbf901a962ff927c64e 2025-08-14T22:51:21.3245162Z deleted: sha256:9be17a1463020b3bf98988efc15dd3587a94e7a8dce7d9c794112441e0131ffd 2025-08-14T22:51:21.3245795Z deleted: sha256:e34558176131a6a50693b626ebbcc47cf3c57d9714d16779ce214c2b302e2d01 2025-08-14T22:51:21.3246520Z deleted: sha256:48636c0835603e0dd00fdb942c5777bab786a96ec4815044a2b881dff049e878 2025-08-14T22:51:21.3247138Z deleted: sha256:e8a801758f171a9644e5866b68eabedd205827b3b9b5317c53581747a2284f9e 2025-08-14T22:51:21.3247777Z deleted: sha256:f3dcb386df2e1c9d40297f1dff650924bb8f67785a829e4672c52e00bb5527ea 2025-08-14T22:51:21.3248422Z deleted: sha256:c8a91a87a099b012756ba8e1c1a1f6225c81bc14a2c20e2328dbd9002b9d44fb 2025-08-14T22:51:21.3249057Z deleted: sha256:15583c35e3715df3661f6f2bd757015e183f7a9b7746485d80636b45f81049b4 2025-08-14T22:51:21.3249667Z deleted: sha256:8bb220477c506a808d3b545007ff97766a7e606c49b49ad97b6a0543de6a3291 2025-08-14T22:51:21.3250302Z deleted: sha256:11930859d5a9561b2e5d28ab15a721e0c2f4f4c4cfbd3bfc883cc78bc28dc06c 2025-08-14T22:51:21.3250951Z deleted: sha256:1adda104158e7018f13e8b2b8c367b6a8d7f8fa2c4fcd324e336b9d2ae246ae3 2025-08-14T22:51:21.3251734Z deleted: sha256:7602dee9c62b3eedb703b9334b19aa6d60eee372efbd30d8835da6b9df755a28 2025-08-14T22:51:21.3252384Z deleted: sha256:2d1e2e35b7d93707f493d76ddc5a51a406d0065633500b042e5c35968573baf0 2025-08-14T22:51:21.3253032Z deleted: sha256:32b8b3afe8ac32200948bc18b9aaa4cc05470a7e790abf4280aa9803b4f24efd 2025-08-14T22:51:21.3253667Z deleted: sha256:6d37287fe4324459ff90516833f6409b68d580fc85a398ded90a46787c40a29a 2025-08-14T22:51:21.3254289Z deleted: sha256:71b8c64b3bbb3bd27d043619fa832ce31f6f205e68e1b38aecd72180495dfbda 2025-08-14T22:51:21.3254928Z deleted: sha256:fe3fb2946325ea0670977d1b881b207e5b7cc5ef311344380a454273fefe2529 2025-08-14T22:51:21.3255567Z deleted: sha256:19d8761ce07668408cafc75ed53d4d37fac0043fbb0643b5ae128ee5e4ff4f71 2025-08-14T22:51:21.3256210Z deleted: sha256:76b9528ea43b4bdb0d88feafde6a5ff19b7f67410fb0a762ede70d1ad5a13d84 2025-08-14T22:51:21.3256877Z deleted: sha256:b2a2895e58df5a7eb7b4b90500ffb6c69ff7cd82a162a7e7eccf4205435be849 2025-08-14T22:51:21.3257513Z deleted: sha256:2e3b406a2012679661f07733e6c3748657527ba7e88990792af8cbaad11edf89 2025-08-14T22:51:21.3258148Z deleted: sha256:6558edd17321eaaa4abd8e2d2b9587abc23f4163796b20b1f02c99290e5cc2f3 2025-08-14T22:51:21.3258784Z deleted: sha256:756117fb8a6c9ba786661243df2fcf9f104c2e4361aadc1859ca82b33b956aab 2025-08-14T22:51:21.3259418Z deleted: sha256:4ba65b32838e2c82955b76fc181531500b3ce06df9733830e29f0d65f3476f83 2025-08-14T22:51:21.3260068Z deleted: sha256:e238732aef36a7e3e8ba83dd4b581bfffb5ce3c966ace3bfcc9c0fc43f307dd6 2025-08-14T22:51:21.3260767Z deleted: sha256:07007ef67980e11308290674e803073f8028bcb5cefd50e132e448dc1ca5a6cd 2025-08-14T22:51:21.3261387Z deleted: sha256:a70be7d341509cf68ff49fd9118a088b702350eaa0eafd3d0668c5696d16174b 2025-08-14T22:51:21.3262041Z deleted: sha256:f7cd7af0c630e976a085bb4d1d61d3bfe7a53395b3cbee39087bc4ea212d3831 2025-08-14T22:51:21.3262745Z deleted: sha256:f52abe7ac9633cc81762fdac32fded11a7110548f8dab1a4bcac8ec06c3d6258 2025-08-14T22:51:21.3263396Z deleted: sha256:75a19a0ce3a3ab949b320809cea6c42ae7fc5c207417e180c736488816626350 2025-08-14T22:51:21.3264042Z deleted: sha256:d28ee48cfbef16b1d39803e7e50788dc0339afeace3af8545fcf910d4ea5ff8c 2025-08-14T22:51:21.3264701Z deleted: sha256:1fa04c7287efd43ee77a0c62db11ec85b406acf514508198ecd61874845c3b1e 2025-08-14T22:51:21.3265485Z deleted: sha256:b2901bd518136e724fdd169fbc64ecb543b6f7910b5b2c5694b7900a0b455cd5 2025-08-14T22:51:21.3266201Z deleted: sha256:c09b48cc868aec2c2f3ba4ab38be1384ea4e30b5857868251472576dffbd9095 2025-08-14T22:51:21.3266857Z deleted: sha256:cadad1e7029fd74f796663116753ec29a1602ea2ad6a52eb3658da76bbc76bb8 2025-08-14T22:51:21.3267498Z deleted: sha256:90a2bf02e851326fc70d05470553ed33e578342d6e06bfa0cfaf331c4079b7e4 2025-08-14T22:51:21.3267872Z 2025-08-14T22:51:21.3268007Z Total reclaimed space: 12GB 2025-08-14T22:51:21.3349079Z Post job cleanup. 2025-08-14T22:51:21.3415941Z Post job cleanup. 2025-08-14T22:51:21.4475280Z [command]/usr/bin/git version 2025-08-14T22:51:21.4530783Z git version 2.47.1 2025-08-14T22:51:21.4568571Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d23620fb-93a6-4292-b47c-ac536c985c12/.gitconfig' 2025-08-14T22:51:21.4577990Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d23620fb-93a6-4292-b47c-ac536c985c12' before making global git config changes 2025-08-14T22:51:21.4578987Z Adding repository directory to the temporary git global config as a safe directory 2025-08-14T22:51:21.4583510Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-08-14T22:51:21.4620733Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-08-14T22:51:21.4650182Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-08-14T22:51:21.4943532Z Entering 'android/libs/fbjni' 2025-08-14T22:51:21.4995309Z Entering 'third_party/FP16' 2025-08-14T22:51:21.5047494Z Entering 'third_party/FXdiv' 2025-08-14T22:51:21.5100425Z Entering 'third_party/NNPACK' 2025-08-14T22:51:21.5151076Z Entering 'third_party/NVTX' 2025-08-14T22:51:21.5204505Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:51:21.5255932Z Entering 'third_party/XNNPACK' 2025-08-14T22:51:21.5322406Z Entering 'third_party/aiter' 2025-08-14T22:51:21.5374634Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:51:21.5434462Z Entering 'third_party/benchmark' 2025-08-14T22:51:21.5486229Z Entering 'third_party/composable_kernel' 2025-08-14T22:51:21.5545891Z Entering 'third_party/cpp-httplib' 2025-08-14T22:51:21.5597570Z Entering 'third_party/cpuinfo' 2025-08-14T22:51:21.5649378Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:51:21.5700781Z Entering 'third_party/cutlass' 2025-08-14T22:51:21.5761985Z Entering 'third_party/fbgemm' 2025-08-14T22:51:21.5815242Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:51:21.5866590Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:51:21.5923810Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:51:21.5973793Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:51:21.6032280Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:51:21.6082415Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:51:21.6131272Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:51:21.6185527Z Entering 'third_party/flash-attention' 2025-08-14T22:51:21.6237794Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:51:21.6295511Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:51:21.6355699Z Entering 'third_party/flatbuffers' 2025-08-14T22:51:21.6411935Z Entering 'third_party/fmt' 2025-08-14T22:51:21.6464604Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:51:21.6516990Z Entering 'third_party/gloo' 2025-08-14T22:51:21.6569212Z Entering 'third_party/googletest' 2025-08-14T22:51:21.6620533Z Entering 'third_party/ideep' 2025-08-14T22:51:21.6671093Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:51:21.6728634Z Entering 'third_party/ittapi' 2025-08-14T22:51:21.6781564Z Entering 'third_party/kineto' 2025-08-14T22:51:21.6833085Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:51:21.6884211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:51:21.6935479Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:51:21.6987619Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:51:21.7038275Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:51:21.7088416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:51:21.7141930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:51:21.7192981Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:51:21.7243769Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:51:21.7295664Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:51:21.7347790Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:51:21.7400251Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:51:21.7451683Z Entering 'third_party/kleidiai' 2025-08-14T22:51:21.7504375Z Entering 'third_party/mimalloc' 2025-08-14T22:51:21.7555978Z Entering 'third_party/nlohmann' 2025-08-14T22:51:21.7608656Z Entering 'third_party/onnx' 2025-08-14T22:51:21.7678190Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:51:21.7731060Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:51:21.7785712Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:51:21.7835199Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:51:21.7885650Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:51:21.7934782Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:51:21.7986393Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:51:21.8035139Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:51:21.8086488Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:51:21.8135257Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:51:21.8188116Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:51:21.8239963Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:51:21.8311584Z Entering 'third_party/pocketfft' 2025-08-14T22:51:21.8363755Z Entering 'third_party/protobuf' 2025-08-14T22:51:21.8418274Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:51:21.8467767Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:51:21.8520397Z Entering 'third_party/psimd' 2025-08-14T22:51:21.8571528Z Entering 'third_party/pthreadpool' 2025-08-14T22:51:21.8623084Z Entering 'third_party/pybind11' 2025-08-14T22:51:21.8675777Z Entering 'third_party/python-peachpy' 2025-08-14T22:51:21.8726383Z Entering 'third_party/sleef' 2025-08-14T22:51:21.8778183Z Entering 'third_party/tensorpipe' 2025-08-14T22:51:21.8828651Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:51:21.8880113Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:51:21.8929534Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:51:21.8979768Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:51:21.9029332Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:51:21.9100394Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-08-14T22:51:21.9119488Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9128604Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-08-14T22:51:21.9156111Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-08-14T22:51:21.9438471Z Entering 'android/libs/fbjni' 2025-08-14T22:51:21.9473715Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9505885Z Entering 'third_party/FP16' 2025-08-14T22:51:21.9541491Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9572642Z Entering 'third_party/FXdiv' 2025-08-14T22:51:21.9607674Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9639106Z Entering 'third_party/NNPACK' 2025-08-14T22:51:21.9674708Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9706057Z Entering 'third_party/NVTX' 2025-08-14T22:51:21.9740703Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9774098Z Entering 'third_party/VulkanMemoryAllocator' 2025-08-14T22:51:21.9808527Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9839374Z Entering 'third_party/XNNPACK' 2025-08-14T22:51:21.9875638Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9921990Z Entering 'third_party/aiter' 2025-08-14T22:51:21.9957836Z http.https://github.com/.extraheader 2025-08-14T22:51:21.9991039Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-08-14T22:51:22.0024625Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0066120Z Entering 'third_party/benchmark' 2025-08-14T22:51:22.0102083Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0132796Z Entering 'third_party/composable_kernel' 2025-08-14T22:51:22.0167857Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0208697Z Entering 'third_party/cpp-httplib' 2025-08-14T22:51:22.0242608Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0273474Z Entering 'third_party/cpuinfo' 2025-08-14T22:51:22.0308570Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0339179Z Entering 'third_party/cudnn_frontend' 2025-08-14T22:51:22.0374367Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0406319Z Entering 'third_party/cutlass' 2025-08-14T22:51:22.0440546Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0482038Z Entering 'third_party/fbgemm' 2025-08-14T22:51:22.0516854Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0550466Z Entering 'third_party/fbgemm/external/asmjit' 2025-08-14T22:51:22.0586533Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0616581Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-08-14T22:51:22.0651018Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0689628Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-08-14T22:51:22.0722721Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0753832Z Entering 'third_party/fbgemm/external/cutlass' 2025-08-14T22:51:22.0788965Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0827745Z Entering 'third_party/fbgemm/external/googletest' 2025-08-14T22:51:22.0861918Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0892392Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-08-14T22:51:22.0925807Z http.https://github.com/.extraheader 2025-08-14T22:51:22.0956905Z Entering 'third_party/fbgemm/external/json' 2025-08-14T22:51:22.0990934Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1024248Z Entering 'third_party/flash-attention' 2025-08-14T22:51:22.1059709Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1091592Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-08-14T22:51:22.1125374Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1162264Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-08-14T22:51:22.1197626Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1236729Z Entering 'third_party/flatbuffers' 2025-08-14T22:51:22.1271413Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1306569Z Entering 'third_party/fmt' 2025-08-14T22:51:22.1340828Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1371345Z Entering 'third_party/gemmlowp/gemmlowp' 2025-08-14T22:51:22.1407165Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1439156Z Entering 'third_party/gloo' 2025-08-14T22:51:22.1474006Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1505558Z Entering 'third_party/googletest' 2025-08-14T22:51:22.1540224Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1571235Z Entering 'third_party/ideep' 2025-08-14T22:51:22.1605850Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1636254Z Entering 'third_party/ideep/mkl-dnn' 2025-08-14T22:51:22.1670408Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1711096Z Entering 'third_party/ittapi' 2025-08-14T22:51:22.1745814Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1777058Z Entering 'third_party/kineto' 2025-08-14T22:51:22.1811340Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1842661Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-08-14T22:51:22.1877565Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1908271Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-08-14T22:51:22.1942062Z http.https://github.com/.extraheader 2025-08-14T22:51:22.1975017Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-08-14T22:51:22.2010416Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2041226Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-08-14T22:51:22.2075759Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2106590Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-08-14T22:51:22.2141691Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2172608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-08-14T22:51:22.2208445Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2241529Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-08-14T22:51:22.2279092Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2308347Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-08-14T22:51:22.2342361Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2374180Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-08-14T22:51:22.2408130Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2440722Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-08-14T22:51:22.2474651Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2507524Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-08-14T22:51:22.2542002Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2574366Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-08-14T22:51:22.2608402Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2641550Z Entering 'third_party/kleidiai' 2025-08-14T22:51:22.2678323Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2710033Z Entering 'third_party/mimalloc' 2025-08-14T22:51:22.2744567Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2776320Z Entering 'third_party/nlohmann' 2025-08-14T22:51:22.2810381Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2842596Z Entering 'third_party/onnx' 2025-08-14T22:51:22.2878749Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2927251Z Entering 'third_party/onnx/third_party/pybind11' 2025-08-14T22:51:22.2963105Z http.https://github.com/.extraheader 2025-08-14T22:51:22.2996317Z Entering 'third_party/opentelemetry-cpp' 2025-08-14T22:51:22.3032577Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3066831Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-08-14T22:51:22.3100851Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3131694Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-08-14T22:51:22.3165763Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3197077Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-08-14T22:51:22.3230912Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3261779Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-08-14T22:51:22.3297360Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3329115Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-08-14T22:51:22.3363554Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3395077Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-08-14T22:51:22.3429235Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3460191Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-08-14T22:51:22.3494310Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3524260Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-08-14T22:51:22.3558388Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3592401Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-08-14T22:51:22.3626640Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3659427Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-08-14T22:51:22.3694796Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3745973Z Entering 'third_party/pocketfft' 2025-08-14T22:51:22.3782242Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3812938Z Entering 'third_party/protobuf' 2025-08-14T22:51:22.3849242Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3883939Z Entering 'third_party/protobuf/third_party/benchmark' 2025-08-14T22:51:22.3917223Z http.https://github.com/.extraheader 2025-08-14T22:51:22.3948395Z Entering 'third_party/protobuf/third_party/googletest' 2025-08-14T22:51:22.3982279Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4014489Z Entering 'third_party/psimd' 2025-08-14T22:51:22.4050210Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4081526Z Entering 'third_party/pthreadpool' 2025-08-14T22:51:22.4116123Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4147394Z Entering 'third_party/pybind11' 2025-08-14T22:51:22.4182419Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4213601Z Entering 'third_party/python-peachpy' 2025-08-14T22:51:22.4249133Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4280631Z Entering 'third_party/sleef' 2025-08-14T22:51:22.4315316Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4346559Z Entering 'third_party/tensorpipe' 2025-08-14T22:51:22.4382249Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4413064Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-08-14T22:51:22.4447110Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4478366Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-08-14T22:51:22.4512079Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4542214Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-08-14T22:51:22.4575627Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4606558Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-08-14T22:51:22.4641001Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4672190Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-08-14T22:51:22.4706250Z http.https://github.com/.extraheader 2025-08-14T22:51:22.4824034Z A job completed hook has been configured by the self-hosted runner administrator 2025-08-14T22:51:22.4851018Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-08-14T22:51:22.4856421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-08-14T22:51:22.4856813Z ##[endgroup] 2025-08-14T22:51:30.7343750Z Cleaning up orphan processes